A Placebo Controlled Trial of Varenicline for Smoking Among Those With HIV/AIDS
Phase: PHASE3
Conditions: Nicotine Dependence
Sponsor: University of Pennsylvania

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IRB APPLICATION    page 1 of 37 
Application for Review of Human Research: IRB Protocol Summary 
Biomedical Research   
Section II 
 
Version 19: February 13, 2018 
 
 
Principal Investigator:  
Robert Schnoll, Ph.D. 
 
 
 
Co-Investigators & Study Physicians:  
Ian Frank, M.D. 
 
 
 
 
 
 
Frank Leone, M.D. 
 
Co-Investigators:  
 
Peter Gariti, Ph.D. 
Robert Gross, M.D., M.S.C.E. 
Caryn Lerman, Ph.D. 
David Metzger, Ph.D.  
 
 
 
 
 
 
 
 
 
 
 
 
PROTOCOL TITLE 
1.  Full Title 
A Placebo Controlled Trial of Varenicline for Smoking among those with HIV/AIDS 
 
2.  Brief Title 
Varenicline for Nicotine Dependence among those with HIV/AIDS 
 
STUDY SPONSORSHIP 
1.  Funding Sponsor 
National Institutes of Health 
 
2.  Primary Sponsor 
Robert A. Schnoll., Ph.D. 
 
PROTOCOL ABSTRACT 
Among people diagnosed with HIV/AIDS, the widespread use of highly active antiretroviral therapy (HAART) 
has greatly improved survival rates (Palella et al., 1998) and changed the leading causes of death, from AIDS-
related diseases (e.g., non-Hodgkin’s lymphoma, Kaposi sarcoma), to cardiovascular disease and lung cancer 
(Palella et al., 2006). As such, addressing modifiable risk factors for disease mortality among those with 
HIV/AIDS, including tobacco use, has become a critical priority (Nahvi & Cooperman, 2009). To date, only 
three smoking cessation clinical trials have been conducted with those with HIV/AIDS (Lloyd-Richardson et al., 
2009; Vidrine et al., 2006; Ingersoll et al., 2007) none of which investigated the efficacy of FDA-approved 
medications for nicotine dependence. Varenicline is an α4β2 nicotinic acetylcholine receptor partial agonist 
with greater efficacy for treating nicotine dependence than bupropion (Gonzales et al., 2006; Jorenby et al., 
2006) or nicotine patch (Aubin et al., 2008; Biazzo et al., 2010; Stapleton et al., 2008). Varenicline may be 
particularly efficacious for treating nicotine dependence among individuals with HIV/AIDS given that depression 
symptoms (Cruess et al., 2003) and cognitive impairment (Lindl et al., 2010) are common in this population, 
increase during smoking abstinence and predict smoking relapse (Zvolensky et al., 2009; Evans & Drobes, 
2009), and are significantly reduced by varenicline (Patterson et al., 2009; Smith et al., 2009; Philip et al., 
2009; Rollema et al., 2009). Therefore, we will conduct a randomized, double-blind, placebo-controlled trial of 
varenicline with smokers with HIV/AIDS. Specifically, 310 smokers with HIV/AIDS will be randomized to 
varenicline plus 9 weeks of smoking cessation counseling or placebo plus 9 weeks of smoking cessation 
counseling. The primary outcome variable for this study will be 7-day biochemically confirmed tobacco 

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abstinence at weeks 12 and 24. Secondary outcomes include: prolonged abstinence to week 12, 18, and 24 
(relapse defined as 7 consecutive days of self-reported smoking, after a 2-week grace period), continuous 
abstinence at weeks 12 and 24 (e.g., no smoking between quit day and follow-up), time to 7-day relapse (no 
grace period), and lapse and recovery events. The trial results may support the use of varenicline for the 
treatment of nicotine dependence among those with HIV/AIDS, thereby reducing tobacco-related morbidity and 
mortality in this population. 
 
 
OBJECTIVES 
1.  Overall Objectives 
Aim 1: Compare 12-weeks of varenicline treatment and behavioral counseling to 12-weeks of placebo 
treatment and behavioral counseling for treating nicotine dependence among individuals with 
HIV/AIDS. Hypothesis: Varenicline and counseling will significantly increase end-of-treatment (week 12) and 
24-week biochemically-confirmed 7-day point prevalence abstinence, vs. placebo and counseling. 
 
Aim 2: Assess effects of varenicline therapy on quality of life (QOL) and varenicline-associated side 
effects. Hypothesis: QOL will be rated higher in the varenicline and counseling group vs. the placebo and 
counseling group, and there will be no significant differences between treatment arms in terms of the frequency 
of severe varenicline-related side effects. 
 
Aim 3: Assess changes in affect and cognitive performance as mediators of varenicline therapy’s 
effect on quit rates. Hypothesis: Improved affect and reduced cognitive impairment will mediate the effect of 
varenicline therapy on quit rates. 
 
Exploratory Aim: Explore participant-related variables as moderators of varenicline therapy’s effect 
on quit rates. To generate new hypotheses, we will explore participant-related variables as moderators of 
varenicline therapy’s effect on quit rates, including socio-demographic (e.g., gender, race), psychiatric (e.g., 
depression), and medical (e.g., HIV/AIDS symptoms, method of HIV transmission) variables. Variables were 
selected for this analysis based on their relationship with smoking behavior (e.g., Webb et al., 2007). 
 
 
BACKGROUND 
HAART and the Changing Causes of Death among Individuals with HIV/AIDS  
The advent of HAART has greatly improved survival rates for those diagnosed with HIV/AIDS (Palella et al., 
1998). In 1994-1995, prior to the advent of HAART, the mortality rate among HIV/AIDS patients was 20.2-
29.4/100 person years, but was reduced to 8.4-8.8 deaths/100 person years in 1997-1998, after HAART 
(Palella et al., 1998; Moore & Chaisson, 1999). Recent data show the mortality rate among individuals with 
HIV/AIDS has dropped even further to 1.3 deaths per 100 person years (Palella et al., 2006). This medical 
advance has increased the number of Americans living with HIV/AIDS to about one million, with about 40,000 
new cases each year (CDC, 2004). Improved medical treatment, however, has also changed the leading 
causes of death among those with HIV/AIDS. Prior to HAART, individuals with HIV/AIDS primarily died from 
AIDS-related diseases (e.g., Kaposi sarcoma), but post-HAART, the leading causes of death in this population 
are cardiovascular disease and lung cancer (Palella et al., 2006). As such, addressing modifiable risk factors 
for disease mortality among those with HIV/AIDS, including tobacco use, has become a critical priority (Niaura 
et al., 1998; Benard et al., 2006).  
 
Rates of Smoking among Individuals with HIV/AIDS 
Despite substantial achievements in lowering the rate of smoking in the general population from >50% in 1965 
to ~20% today, recent data show that the rates of smoking in the US have remained constant over the past 5 
years (CDC, 2009; 2011). One reason for this stalled decline in US smoking rates is that certain sub-groups of 
smokers, including those with HIV/AIDS, who show very high rates of tobacco use, have been almost uniformly 
excluded from tobacco cessation research (Niaura et al., 2000; Nahvi & Cooperman, 2009). As a result, rates 
of tobacco use among individuals with HIV/AIDS are very high. Studies show that 50-74% of individuals with 
HIV/AIDS are regular smokers (Burkhalter et al., 2005; Collins et al., 2001; Crothers et al., 2005; Feldman et 

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al., 2006; Miguez-Burbano et al., 2005; Webb et al., 2007). This rate greatly exceeds the 20% prevalence rate 
of smoking in the general population (CDC, 2009) and exceeds rates reported for other notable clinical 
populations, such as cancer (Schnoll et al., 2003), cardiovascular (Rigotti et al., 2006), and depressed (Grant 
et al., 2004) patients. As such, the targeting of HIV/AIDS patients for tobacco cessation treatment is a critical 
priority and may help to reignite the steady decline in tobacco use rates that has been witnessed over the past 
half-century. 
 
Tobacco-Related Health Consequences for Individuals with HIV/AIDS 
Continued smoking among those with HIV/AIDS can result in serious adverse health effects. Importantly, 
smoking by individuals with HIV/AIDS can reduce the effectiveness of HAART. Controlling for medication 
adherence and comorbid illicit drug use, Feldman et al. (2006) found that smokers with HIV on HAART had a 
significantly lower likelihood of achieving a viral or immunologic response and had a greater chance of 
developing a viral or immunologic failure, vs. non-smokers with HIV on HAART. Persistent smoking among 
individuals who are HIV+ may also increase the likelihood for progression to AIDS (Neiman et al., 1993). 
Further, smoking by HIV+ patients increases risk for cardiovascular disease and cancer (Bozkurt et al., 2004; 
Bonnet et al., 2004; Singh et al., 1996; Tirelli et al., 2000). There is also evidence that smoking among 
pregnant women with HIV/AIDS can increase the risk for transmission of HIV to infants (Ahmad, 1996; Burns et 
al., 1994; Loutfy & Walmsley, 2004; Sprauve, 1996; Turner et al., 1997). Lastly, smoking among individuals 
with HIV/AIDS can exacerbate HIV-related symptoms (e.g., respiratory problems, pulmonary pneumonia) and 
worsen overall QOL (Cui et al., 2010; Crothers et al., 2005; Turner et al., 2001; Webb et al., 2007), and 
increase the likelihood of death (Pines et al., 2011). Overall, as Nahvi & Cooperman (2009) note, the 
achievements associated with the advent and widespread use of HAART in terms of reduced mortality rates 
and improved QOL among those with HIV/AIDS are being jeopardized by the cardiovascular and neoplastic 
diseases attributable to tobacco use. 
 
Nicotine Dependence Treatments for Individuals with HIV/AIDS 
Given the data reviewed above, it is remarkable that very few smoking cessation trials have been conducted 
with this population (Gritz et al., 2007; Harris, 2010; Nahvi & Cooperman, 2009). One randomized trial with 95 
patients (Vidrine et al., 2006) compared standard smoking cessation treatment (behavioral counseling and 
nicotine replacement therapy; NRT) to standard smoking cessation treatment plus proactive cell-phone 
counseling. Though this study found higher quit rates with the addition of the cell-phone counseling, the 
findings require replication with a larger sample and relying on cell phones to provide treatment may be a 
barrier to translating these results broadly across HIV/AIDS clinics. The second trial compared self-help 
smoking cessation plus NRT to motivational interviewing plus NRT (Ingersoll et al., 2007). This trial included 
only 40 smokers and found no difference in quit rates across groups. A third, larger trial (n = 444), compared 
NRT and standard behavioral counseling to NRT and counseling to enhance quit motivation (Lloyd-Richardson 
et al., 2009); no significant differences in quit rates between the arms were detected. 
 
As such, as of yet, there is no demonstrated efficacious treatment model for addressing tobacco use among 
those with HIV/AIDS and no basis on which to disseminate recommendations for the use of pharmacotherapy 
to treat nicotine dependence in this sub-group of smokers. Importantly, no clinical trial has formally evaluated 
any of the US FDA-approved medications for nicotine dependence among those with HIV/AIDS using a 
controlled design, including varenicline, the most efficacious treatment available for nicotine dependence (Fiore 
et al., 2008; Schnoll & Lerman, 2006). It is essential that controlled clinical trials investigate interventions that 
have proven efficacy in the general population in smokers with HIV/AIDS since: 1) smokers with HIV/AIDS 
have been almost uniformly excluded from these trials (e.g., Gonzales et al., 2006); 2) differences between 
smokers with HIV/AIDS and the general population of smokers in terms of psychiatric and substance abuse 
history/comorbidity - factors that influence smoking cessation response rates (Humfleet et al., 1999; Zvolensky 
et al., 2009) - diminishes the generalizability of results from clinical trials with the general population; and 3) the 
safety of using these medications among individuals with HIV/AIDS is currently unknown and must be 
explicated before broad use in HIV/AIDS clinics (Nahvi & Cooperman, 2009). 
 

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Barriers to Quitting Smoking Among Those with HIV/AIDS 
While there are limited data on specific barriers to quitting smoking that are unique to individuals with HIV/AIDS 
compared to the general population, two factors may be important. First, smoking cessation interventions for 
individuals with HIV/AIDS may need to address psychiatric history/comorbidity, most commonly depression 
and dysthymia (Nahvi & Cooperman, 2009). A large epidemiological study using a nationally representative 
sample found that more than a third of HIV+ patients exhibited major depression and another quarter had 
dysthymia (Bing et al., 2001). A meta-analysis of studies has shown that the risk for depression is 2-times 
greater if one is diagnosed with HIV/AIDS, compared to unaffected individuals (Ciesla & Roberts, 2001) which 
may be an under-estimate of risk (Asch et al., 2003). Symptoms of psychological distress, including depression 
symptoms, have been shown to be a strong risk factor for relapse following successful smoking cessation in 
the general population (Zvolensky et al., 2009) and have been associated with lower levels of motivation to quit 
smoking (Burkhalter et al., 2005) and higher risk of smoking (Webb et al., 2007) among those with HIV/AIDS. 
Second, smoking cessation interventions for individuals with HIV/AIDS may need to address cognitive 
impairment, which typically includes difficulties with memory, attention/concentration, and executive function 
(Heaton et al., 2011). While the advent of HAART has reduced the rate of cognitive impairment among those 
with HIV/AIDS, several recent surveys indicate that 39%-69% of individuals with HIV/AIDS show cognitive 
impairment (Robertson et al., 2007; Simioni et al., 2010). In the general population, smokers use nicotine to 
enhance cognitive function, nicotine withdrawal increases cognitive impairment which predicts relapse, and 
resuming smoking ameliorates abstinence-induced cognitive impairment (Heishman, 1999; Evans & Drobes, 
2009; Rukstalis et al., 2005). Consequently, nicotine dependence treatments for individuals with HIV/AIDS may 
show greater efficacy if they adequately address the patient’s relatively high level of psychological distress and 
cognitive impairment. 
 
Varenicline for Nicotine Dependence 
Varenicline, approved by the US FDA in 2006, is the most efficacious FDA-approved medication for nicotine 
dependence, yielding quit rates that significantly exceed those produced by bupropion (Gonzales et al., 2006; 
Jorenby et al., 2006) and nicotine patch (Aubin et al., 2008; Biazzo et al., 2010; Stapleton et al., 2008). 
Randomized clinical trials and meta-analyses indicate that 6-month quit rates for varenicline are ~30% 
(Gonzales et al., 2006; Jorenby et al., 2006; Cahill et al., 2011). Varenicline is an α4β2 nicotinic acetylcholine 
receptor (nAChR) partial agonist. As such, varenicline binds to the α4β2 nAChRs, preventing nicotine from 
binding and stimulating nAChRs and dopamine release. These processes reduce the rewarding effects of 
smoking and reduce abstinence induced withdrawal symptoms (Rollema et al., 2009). Varenicline’s efficacy is 
also thought to be due to the drug’s effects on abstinence-induced psychological distress and cognitive 
impairment. Several studies show that varenicline mitigates adverse psychological effects and cognitive 
impairment associated with quitting smoking (Patterson et al., 2009; Smith et al., 2009; Philip et al., 2009; 
Rollema et al., 2009; Sofuoglu et al., 2009). The anti-depressant-like (Rollema et al., 2009) and cognitive 
enhancing (Loughead et al., 2010) effects of varenicline is consistent with what we know about how this 
medication works. Preclinical studies indicate that α4β2 nAChRs subtypes are critical for cognition (Levin et al., 
2009) and varenicline’s stimulation of these receptors improves cognitive function (Loughead et al., 2010). 
Likewise, animal studies indicate that the simultaneous activation and desensitization of nAChRs produced by 
nicotinic partial agonists like varenicline can yield antidepressant-like effects (Mineur & Picciotto, 2010), which 
underlies current evaluations of varenicline as a treatment for major depression. Lastly, there are efficacy and 
safety data for varenicline among various clinical populations, including: cardiovascular disease patients 
(Rigotti et al., 2010), COPD patients (Tashkin et al., 2010), smokers with comorbid alcohol (Hays et al., 2010) 
and cocaine (Poling et al., 2010) dependence, and smokers with comorbid affective or psychotic disorders 
(McClure et al., 2010; Smith et al., 2009; Philip et al., 2009). It has been shown to be safe when used for 52 
weeks (Williams et al., 2007). Although there have been reports of adverse psychiatric events following 
varenicline use, leading the FDA to mandate a boxed warning for varenicline, and a recent meta-analysis 
indicated a small yet statistically significant increased risk for cardiovascular side effects (Singh et al., 2011), 
pooled data from efficacy trials (Cahill  et al., 2009; Tonstad et al., 2010), effectiveness trials (McClure et al., 
2010), and large cohort studies (Gunnell et al., 2009; Kasliwal et al., 2009) show that varenicline is safe for 
treating nicotine dependence, even among smokers with psychiatric comorbidity, including depression 

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(Stapleton et al., 2008; McClure et al., 2010; Steinberg et al., 2010). A recent meta-analysis of varenicline trials 
concluded that there was insufficient evidence to associate varenicline use with serious adverse neuro-
psychiatric events such as depression or suicidal thoughts/behavior but that additional trials testing varenicline 
with smokers with a range of comorbidities is needed (Cahill et al., 2011). Following a large-scale trial 
supporting the safety of varenicline for smoking cessation among those with and without a current psychiatric 
disorder (Anthenelli et al., 2016), the FDA removed the boxed warning on varenicline in December 2016. 
 
CHARACTERISTICS OF THE STUDY POPULATION 
1. Target Population 
Three hundred ten adult male and female smokers 18 years of age or older who have been diagnosed with 
HIV/AIDS (identified through the UPENN CFAR Clinical Core, UPHS PennChart reviews and community-
based HIV/AIDS organizations and events) and smoke at least 5 cigarettes per day will complete the study.  
 
At PENN, a previous nicotine patch trial recruited a sample comprised of 45% women and 16% racial/ethnic 
minorities (Schnoll et al., 2010b). A separate PENN smoking cessation trial that used targeted efforts to recruit 
minority smokers had a sample comprised of 55% women and 52% racial/ethnic minorities (Schnoll et al., 
2011). The UPENN CFAR Clinical Core population is 78% African American and 4% Hispanic American. 
 
2.  Accrual 
For this trial, we project that we will screen ~1000 HIV/AIDS patients over 54 months (allowing six months to 
complete follow-up), 77% of whom will be current smokers (n = 770). Additional data indicate that upwards of 
three-quarters of these patients will want to quit smoking and will want to use a medication in their quit attempt 
(Drach et al., 2010), yielding a sample of ~575 patients to recruit. Based on past varenicline trials (Schnoll et 
al., 2011; Patterson et al., 2009) and the present inclusion/exclusion criteria, we expect ~two-thirds of these 
patients to be eligible for the trial (n = ~345). To be conservative, given the possible health problems evident in 
this population of smokers, we will project < 20% of participants will withdraw from the trial and >80% of 
subjects will complete follow-ups. As is advised in smoking cessation trials (Hughes et al., 2003), intent-to-treat 
will be used for primary analyses, with missing outcome data coded as smokers.  
 
3.  Key Inclusion Criteria 
Eligible subjects will be males and females: 
1. 18 years of age or older who self-report smoking at least 1 cigarette (menthol and non-menthol) per 
day, on average. 
2. Diagnosed with HIV infection and exhibiting viral load of ≤ 1000 copies/mL within the last 6 months. 
3. Exhibiting CD4+ count of > 200 cells/mm3 within the last 6 months. 
1.  If the participant has not had a CD4+ count test completed in the last 6 months, an older result 
(> 200 cells/mm3 ) may be used if evidence is provided that all subsequent viral loads results 
are ≤ 1000 copies/mL.  
4. Able to use varenicline safely, based on a medical evaluation including medical history and psychiatric 
evaluation. 
5. Residing in the geographic area for at least 7 months. 
6. Women of childbearing potential (based on medical history) must consent to use a medically accepted 
method of birth control (e.g., condoms and spermicide, oral contraceptive, Depo-Provera injection, 
contraceptive patch, tubal ligation) or abstain from sexual intercourse during the time they are taking 
study medication and for at least one month after the medication period ends. 
7. If current or past diagnosis of bipolar disorder (I, II, or NOS), eligible if: 
a. No psychotic features 
b. MADRS: total score < 8 (past 4 weeks), suicidal item score < 1 (past 4 weeks) 
c. Y-MRS: total score < 8 (past 4 weeks), irritability, speech content, disruptive, or aggressive 
behavior items score < 3 (past 4 weeks) 
d. No psychiatric hospitalization or Emergency Room visits for psychiatric issues in the past 6 
months 

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e. No aggressive or violent acts or behavior in the past 6 months 
8. Able to communicate fluently in English. 
9. Capable of giving written informed consent, which includes compliance with the requirements and 
restrictions listed in the combined consent/HIPAA form. 
 
4.  Key Exclusion Criteria 
Subjects who present with and/or self-report the following criteria will not be eligible to participate in the study.   
Smoking Behavior 
1. Current enrollment or plans to enroll in another smoking cessation program in the next 7 months. 
2. Regular (daily) use of chewing tobacco, snuff, snus, cigars, cigarillos, or pipes. 
3. Current use or plans to use nicotine substitutes (gum, patch, lozenge, e-cigarette) or smoking cessation 
treatments in the next 7 months. 
a. Note: Once participants are found eligible for the study, they are told they should refrain from 
using any nicotine replacement therapy (NRT) for the duration of the study.  If a subject reports 
NRT use during the study, s/he may be permitted to continue pending approval from the study 
physician and PI.  
 
Alcohol/Drug Exclusion Criteria 
1. Current untreated and unstable diagnosis of substance dependence. Current untreated and unstable 
diagnosis of substance abuse requires Study Physician approval.  
a. Note: The participant is eligible if dependence was in the past (greater than 1 year ago) or if the 
participant is currently receiving treatment (eg. medication, group therapy, support groups and/or 
intensive outpatient programs) and has been stable for >30 days. 
2. Breath Alcohol Concentration (BrAC) assessment greater than or equal to 0.01 at the Intake Session. 
 
Medication Exclusion Criteria 
Current use or recent discontinuation (within last 14 days) of the following medications:  
1. Other smoking cessation medications (e.g. Zyban, Wellbutrin, Wellbutrin SR, Chantix) 
a. Note: Once participants are found eligible for the study, they are instructed to only use the 
smoking cessation medication provided to them by the study staff.  If a subject reports using a non-
study smoking cessation medication, the study physician and PI will evaluate the situation and 
determine if it is safe for the subject to continue participation. 
2. Anti-psychotic medications (if used to treat psychotic symptoms. Other uses may be eligible pending 
physician approval). 
 
Medical Exclusion Criteria 
1. Women who are pregnant, planning a pregnancy within the next 7 months, or lactating. 
2. Current diagnosis of unstable and untreated major depression, as determined by self-report & MINI. 
a. Note: The participant is eligible if stable for >30 days (stability is defined by the use of mood 
regulating medication and/or by receiving regular mental health care evaluations or therapy). 
3. Current or past diagnosis of psychotic disorder, as determined by self-report or MINI. 
4. History of unstable heart disease, stroke, myocardial infarction, angina, or tachycardia (if stable, 
requires Study Physician approval). 
5. Uncontrolled hypertension (SBP >160 or DBP >100). 
a. Note: If a participant presents with blood pressure greater than 160/100 at sessions occurring on 
Week 0 (Pre-Quit) or at any other point during the treatment period, they will not be provided 
with/able to continue on medication unless the study physician grants approval. 
6. History of seizures or current seizure disorder that is unstable and untreated. (If seizures are stable and 
treated, requires Study Physician approval.) 
7. History of decompensated cirrhosis (i.e., a diagnosis of hepatic decompensation, decompensated 
cirrhosis, end-stage liver disease, ascites, variceal hemorrhage, spontaneous bacterial peritonitis, 

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hepatic encephalopathy) as determined by medical history review is subject to study physician 
approval. 
8. Evidence of severe renal impairment including current dialysis treatment, estimated creatinine 
clearance <30 mL/min (within 6 months of enrollment) or eGFR <60 mL/min/1.73m2 (within 6 months of 
enrollment). 
9. Previous allergic reaction to varenicline. 
 
Suicide Hx Exclusion Criteria 
1. Any suicide attempt or suicidal behavior within 2 years of enrollment 
a. Note: Any participant that reports a suicide attempt or episode of suicidal behavior more than 2 
years before enrollment will be evaluated by senior clinical staff (Dr. Hole or Dr. Thase) to assess 
final eligibility based on the complete psychological profile ascertained at the intake session.  
2. Current suicidal ideation (within the last 30 days of enrollment) 
3. Two or more lifetime suicide attempts or episodes of suicidal behavior 
4. If the participant has a history of bipolar disorder, any suicide risk score on the MINI or self-reported 
lifetime suicide attempt or suicidal behavior 
 
General Exclusion Criteria 
1. Any medical condition or concomitant medication that could compromise subject safety or treatment, as 
determined by the Principal Investigator and/or Study Physician. 
2. Inability to provide informed consent or complete any of the study tasks as determined by the Principal 
Investigator and/or Study Physician. 
 
 
5.  Vulnerable Populations  
Children, pregnant women, fetuses, neonates, or prisoners are not included in this research study.  
 
6.  Populations vulnerable to undue influence or coercion 
Educationally or economically disadvantaged persons are included but not solely targeted for recruitment.  
Cognitively impaired persons are not included in the current study.  Because of our recruitment efforts for this 
study, it is possible that University of Pennsylvania employees and students may be invited to participate.  
Status of participation in the study will be independent of the subject’s work or school activities.  
 
7.  Subject Recruitment  
Participants will be recruited from the Infectious Disease practices at the Hospital of the UPENN, Presbyterian 
Hospital, and Pennsylvania Hospital. Dr. Frank will oversee the integration of this study into the clinics, 
ensuring access to participants, collection of medical data (through UPHS PennChart medical record reviews 
and laboratory result requests), and access to private consulting rooms for screening at the CFAR clinics. 
These practices see over 500 patients monthly and more than 200 new patients each year.  
 
After obtaining the necessary training and clinic clearances to access PennChart for participating UPHS clinics, 
Research Assistants (RAs) will review the electronic medical records to identify potential subjects on a weekly 
basis (each site has patient smoking status indicated on the record). Individual medical records will be 
evaluated for eligibility based on the inclusion and exclusion criteria for this study. Daily clinic schedules will be 
ascertained and RAs will approach patients prior to or after consultation or treatment at the clinic. In addition to 
in-clinic recruitment, RAs will contact potentially eligible patients (after EMR review) by telephone based on 
their clinic provider’s specified research contact preference. Providers may choose one of the following contact 
options: 1) all patients identified as initially eligible may be contacted 2) all patient records identified as initially 
eligible will be sent to the provider via PennChart for review and approval prior to contact 3) all patient records 
identified as initially eligible may be sent to the provider, who assumes full responsibility and discretion 
regarding the research contact (no contact may be made by the research staff). Those patients deemed 
eligible for contact will be contacted by telephone. RAs will introduce the research study and the collaboration 

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between the researchers, infectious disease clinic, and the patient’s provider. After assessing the patient’s 
interest, HIV status, and smoking status, the patient will then be provided with additional study information and 
an opportunity to assess his/her intake eligibility based on a screening questionnaire. 
 
Research Recruitment Best Practice Advisories (BPAs) will also be integrated into electronic medical record 
recruitment. BPAs are designed to fire passive alerts within PennChart at the point of care, notifying providers 
that a patient may be eligible for a specific study. This specific BPA will evaluate if a patient meets specific 
criteria associated with the trial and will present the provider with the option to indicate if a patient is interested 
in participating in the study or not. This BPA will only present if the patient meets the initial screening criteria 
based on smoking status and problem list diagnoses and will only present in specified departments. This 
indication of interest only serves to trigger a notification to study staff that a patient has met initial screen 
criteria and further follow-up is requested to determine eligibility of the patient. This alert is a passive alert and 
will not interrupt the provider’s workflow, but will be listed in the same section as other clinically warranted 
BPAs. 
 
If our accrual rate is lower than anticipated based on our feasibility data, Dr. Metzger and the CFAR CAB will 
use their connections with community-based HIV/AIDS organizations in the Delaware Valley region to promote 
the trial and enhance accrual rates. The CFAR CAB, comprised of people with HIV/AIDS or professionals in 
the treatment of substance use among those with HIV, has numerous linkages to community-based 
organizations that can be used to enhance participant recruitment should that be necessary. We will also 
advertise the study using poster, newspaper, and internet based advertisements (this includes in-app 
advertising, Craigslist, and Twitter). Information about the study will be available on the CIRNA and iConnect 
websites. In addition, research staff will attend HIV/AIDS community events and community clinic intake hours 
to provide information about the study, distribute recruitment materials, and collect participant contact 
information via a secure, web-based data collection service. Additionally, we will place recruitment data 
requests with electronic research data warehouses such as Penn Data Store and Pennomics to obtain lists of 
pre-consented potential participants. ResearchMatch, a national health volunteer registry that was created by 
several academic institutions and supported by the U.S. National Institutes of Health as part of the Clinical 
Translational Science Award (CTSA) program, will also be utilized. ResearchMatch has a large population of 
volunteers who have consented to be contacted by researchers about health studies for which they may be 
eligible.  
 
RAs and UPHS medical personnel will screen patients from UPENN and community based HIV/AIDS clinics to 
identify potentially eligible and interested participants by phone or in person. Participants recruited through 
other methods will also be screened by phone or in person. Participants who are eligible and interested in the 
study will be scheduled for an Intake session (Week -1) with research staff. At the Intake session the 
participant will sign an informed consent and HIPAA form, complete eligibility and baseline assessments, and 
be scheduled for Week 0. The participant’s eligibility will be confirmed by Drs. Leone, Thase and Hole. 
 
To ensure a high level of retention and adherence in this trial we will: 1) educate subjects about the benefits of 
protocol compliance; 2) schedule in-person sessions at convenient times (e.g., evenings); 3) use a medication 
adherence component in the counseling protocol (Gariti et al., 2009; Schnoll et al., 2008), and 4) as is standard 
practice in smoking cessation trials (Schnoll et al., 2010b; Niaura et al., 2005), provide modest financial 
compensation for session completion and transportation costs. 
 
STUDY DESIGN 
1.  Phase 
This study is a Phase III clinical trial. 
2. Design 
This is a randomized, between-subject, 
double-blind, placebo-controlled study.  
 
Figure 1. Study Overview 

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3. Study Duration  
Length of Subject’s Participation in Study 
Subjects will participate in study related activities for approximately 7 months from initial eligibility assessment 
in the clinic through follow-up. A subject’s length of participation may be affected by center or subject 
scheduling conflicts. 
 
Projected date of completion of the proposed study  
We expect to complete accrual in approximately 54 months, completing the trial in December 2016. We expect 
to obtain our numbers in this timeframe by enrolling approximately 6 subjects per month.   
 
Table 1. Study Timeline 
Tasks/Months 
1       3           12                   24                    36                     48                   60 
Refine and test DMS and Train Staff (1-3) 
X-----X 
Recruitment/baselines (3-54) 
         X----------------------------------------------------------------------------------X 
Treatment (3-57) 
         X-------------------------------------------------------------------------------------X 
Outcome assessments (15-60) 
                              X------------------------------------------------------------------------X 
Analysis/manuscripts (48-60) 
                                                                                           X---------------------X   
 
DRUGS OR DEVICES 
Study Medication 
Dosing 
Varenicline will be used in accordance with FDA approved labeling: Day 1-Day 3 (0.5mg once daily); Day 4-
Day 7 (0.5mg twice daily); and Day 8-Day 84 (1.0mg twice daily). 
 
Supply, Preparation, Storage, Packaging and Dispensing of Study Medication 
Varenicline and matching placebo, provided at no-cost by Pfizer, will be packaged and stored at the University 
of Pennsylvania Investigational Drug Service. Varenicline and matching placebo will be packaged into blister 
packs in 1-2 week supplies. Medication will be distributed to participants in increments at Weeks 0, 3, and 7. 
 
IDS will oversee the randomization and labeling of all study medication, and will assign each kit, which 
contains 12 weeks of medication for one subject, and a unique Pharmacy Randomization Number (PRN). 
Once a new subject is enrolled and eligible, IDS will assign the subject the next available PRN. The research 
staff will then label the blister packs with the subject’s study ID number. The PRN and study ID number must 
match for each blister pack a subject receives. Medication kits will be stored in a locked cabinet at our center 
until they are dispensed at participant medication pick-up visits. 
 
Regular study drug reconciliation will be performed to document drug assigned, drug consumed, and drug 
remaining. This reconciliation will be logged on the drug reconciliation form, and signed by the research staff 
member who completed the reconciliation. 
 
At the completion of the study, there will be a final reconciliation of drug shipped, drug consumed, and drug 
remaining.  This reconciliation will be logged on the drug reconciliation form, signed and dated by the research 
staff. Any discrepancies noted will be investigated, resolved, and documented prior to return or destruction of 
unused study drug.  Drug destroyed on site will be documented in the study files. 
 
 
STUDY PROCEDURES 
1. Procedures 
Subjects 
Subjects will be 310 smokers who have been diagnosed with HIV/AIDS, meet study eligibility criteria, and 
provide written consent to participate in this between-subject trial.   

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Study Procedures 
Initial Eligibility Screening. 
Recruited subjects will complete an initial eligibility assessment in the HIV/AIDS clinic or over the telephone. 
This assessment reduces the likelihood that participants attend an Intake Session only to learn that they are 
ineligible or to allow us to ascertain physician’s clearance should the participants have a medical condition that 
requires approval. Subjects who pass this pre-screening will be invited to attend an Intake Session.   
 
Intake Session (Week -1): Consent, Eligibility Determination, Baseline Measures.  
Subjects who pass the pre-screening will be invited to attend a 2.5-hour Intake Session where the following 
activities will occur:  
 
1. Subjects will hear a study description where all study procedures, risks, and information about the study 
medication will be reviewed. Subject questions will be answered. Following this presentation, the 
combined informed consent and HIPAA form will be completed.  
 
2. A urine pregnancy test (all female subjects) will be administered.   
 
3. A breath alcohol concentration assessment (BrAC) to control for alcohol consumption.  The handheld 
device uses a disposable mouthpiece, reports the concentration of alcohol in breath and takes about 2 
minutes.   
 
4. A carbon monoxide (CO) breath assessment to control for prior tobacco exposure.  The handheld 
device uses a disposable mouthpiece, reports CO in parts per million (ppm), and takes about 3 
minutes. 
 
5. Mental status examinations (Mini International Neuropsychiatric Interview, HADS, C-SSRS, and 
MADRS, YMRS, Bipolar Disorder Additional Screener, if necessary) with a trained research staff 
member. 
 
6. Complete routine medical history, including blood pressure assessment. 
 
7. A concomitant medication review. 
 
8. Complete baseline paper and pencil measures to assess 1) background variables that may serve as 
covariates and will allow for the assessment of the study’s external validity (e.g., smoking history, 
demographics), 2) mediators (e.g., affect, cognition), 3) moderators (e.g., disease-related information, 
and 4) baseline smoking behavior. 
 
9. Provide one 10ml blood sample (2 teaspoons) to assess nicotine metabolite ratio (cotinine and 3-
hydroxycotinine). 
 
10. Provide one 10ml blood sample (2 teaspoons) for DNA collection and genotyping.   
 
Initially eligible participants who have not had kidney function tests within the last 6 months (as ascertained by 
medical record review or provision of results from the participant’s health care provider) will provide one 10ml 
blood sample (2 teaspoons) to complete these tests following the Intake Session. Test results that are outside 
of normal ranges will be reviewed for final eligibility by the Study Physician prior to enrollment. 
 
If eligible at this point, subjects will be scheduled for the first treatment session (Week 0). 
 
Behavioral Counseling (Week 0-Week 9).  
All subjects will receive manual-based counseling from a counselor trained and supervised by Dr. Hole. The 
counseling protocol is based on PHS guidelines for smoking cessation treatment (Fiore et al., 2008), used in 
our studies with cancer patients (Schnoll et al., 2010a) and the general population of smokers (Schnoll et al., 
2010b; R01 DA025078). Counseling is included given its efficacy at helping smokers quit (Fiore et al., 2008), 

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to ensure that participants in the placebo arm receive active treatment to quit smoking and to increase study 
retention. Counseling is provided to both treatment arms until Week 9 to equate for time and attention across 
arms since this method was used in past varenicline trials (e.g., Gonzales et al., 2006). Counseling will be 
provided in-person at the CIRNA. Sessions can be arranged at convenient times for the participants, including 
evenings.  
 
Pre-Quit Session (Week 0): The counseling program begins at Week 0 with a 1-hour in-person “pre-quit” 
counseling session to prepare for the target quit day. This session focuses on reviewing the participant’s 
history and experience with quitting as well as beliefs about smoking, quitting and perceived barriers to 
cessation. A quitting plan is initiated and involves identifying smoking triggers and strategies to increase the 
chance for success, including relying on social support to quit smoking and altering behaviors associated with 
smoking. The first 3 weeks of medication is dispensed at this session and will begin at the session or 
immediately following the session.  
 
Quit Day Session (Week 1): At Week 1, participants will receive a 30-minute in-person “quit-day” session to 
review the initial quit attempt, identify potential reasons for relapse, and review a plan for avoiding tempting 
situations.  
 
Relapse Prevention Sessions (Weeks 3, 5, 7, and 9): Participants will then receive 4 additional 20-minute in-
person booster sessions at Weeks 3, 5, 7, and 9 which focus on either reinforcing success and reviewing the 
quit plan or reestablishing a quit date and restarting the cessation process. The counseling sessions are 
designed to enhance awareness of the harmful effects of smoking, assist the person in developing skills to quit 
and avoid relapse, and instruct the smoker on varenicline use. Lastly, all counseling sessions may be audio-
taped and a random 15% of sessions assessed for protocol adherence. The counselor is blind to 
randomization. 
 
Varenicline or Placebo Treatment (Weeks 0-12). 
The dosing regimen used in past varenicline trials and consistent with FDA guidelines will be used: Day 1-Day 
3 (0.5mg once daily); Day 4-Day 7 (0.5mg twice daily); and Day 8-Day 84 (1.0mg twice daily). Medication and 
matching placebo will be packaged into blister packs in 1-2 week supplies. Medication will be distributed in 
increments at Weeks 0, 3, and 7. Day 1 of study medication will be scheduled no more than 60 days following 
the Intake Session. If Day 1 is scheduled more than 60 days following the Intake Session, the participant will 
be required to attend another Intake Session in order to reaffirm eligibility. Participants who discontinue the 
study medication for 14 or more consecutive days will require approval from the Principal Investigator and 
Study Physician before restarting the study medication.  
 
Varenicline Adherence. 
At each session after Pre-Quit until end of treatment, participants are evaluated in terms of their adherence by 
self-report and pill count. At Weeks 3 (steady-state) and 12 (end of treatment), participants will be asked to 
provide blood samples to evaluate varenicline levels as a measure of adherence. Specific strategies to 
address non-adherence will be used if necessary. The varenicline adherence approach formally assesses 
participant reasons for non-adherence using scenarios and uses specific strategies to enhance compliance. If 
the participant discontinues study medication for any reason for 14 or more consecutive days prior to an 
adherence blood draw, the blood draw will not be conducted. 
 
Mid-treatment Assessments.  
Assessments will be conducted at Weeks 0, 1, 3, 5, 7, and 9 by trained RAs to assess mediating variables and 
monitor safety. These assessments will take ~30 minutes to complete and will be done in-person prior to 
counseling. Assessments include measures of mediating variables (e.g., affect), HAART adherence, 
varenicline adherence (pill count and collection of blister packs), concomitant medication review, QOL, carbon 
monoxide assessment, and smoking behavior.  
 
Cognitive Function. 
We will assess cognitive function using validated computerized tasks as in our past varenicline study 
(Patterson et al., 2009). We will use the Visual/Spatial-N-Back task of working memory (Ehlis, Bahne, Jacob, 
Herrmann, & Fallgatter, 2008; Green et al., 2005; Owen, et al., 2005) and the PENN Continuous Performance 

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Task (P-CPT) of sustained attention (Kurtz et al., 2001). These tasks will be administered on a computer 
during Pre-Quit, Target Quit Day, and Weeks 3, 7, and 12. 
 
Side Effect Monitoring. 
The research team has a clinical psychologist and physician to review initial eligibility and to monitor and 
address side effects during the trial. To reduce risk for adverse events, we will carefully assess eligibility to 
ensure that individuals with pre-existing conditions that can increase adverse event risk are excluded.  
 
We will also frequently assess participant treatment reactions with established symptom checklists and 
validated suicidality and depression/anxiety scales. These assessments, as well as blood pressure 
assessments, are conducted at each visit before, during, and after the 12 week treatment phase by a research 
staff member.  
 
We will use an established coding and reporting system for side effects also used in our ongoing varenicline 
trial (DA020830). In this system, personnel are trained to administer side effects measures, including validated 
scales of suicidality. If a side effect report or a score on an established scale indicates a safety concern, Drs. 
Schnoll, Hole,  Leone, and Thase will be notified per the Safety Monitoring and Reporting Protocol and will 
assume responsibility for the determination of a course of action (e.g., continue to monitor, stop medication). 
Participants are given contact information so that, if an adverse event occurs, they can contact study staff 24-
hours a day. These side effects are also coded and managed by Drs. Schnoll, Hole, Leone and Thase. Serious 
adverse events are reported to the IRB, Pfizer, NIDA, and FDA in accordance with DSMP reporting procedures 
and participants may be referred to a PENN out-patient department or to the ER.  
 
There are no known HAART/varenicline drug interactions (Drach et al., 2010). Varenicline is renally cleared, 
while the non-nucleoside reverse transcriptase inhibitors, protease inhibitors, raltegravir, and maraviroc are 
hepatically cleared. The nucleoside reverse transcriptase inhibitors (NRTIs) are metabolized by the kidney and, 
among the NRTIs, tenofovir is the only one related to risk for nephrotoxicity. HAART use will be assessed 
throughout the trial and patients on tenofovir will be closely monitored. We will examine the relationship 
between tenofovir use and varenicline side effects, including the assessment of varenicline plasma levels as a 
possible mediator of this relationship. 
 
Outcome Assessments.  
The primary outcome variable for Aims 1 and 3 is 7-day point prevalence abstinence at Weeks 12 and 24, 
biochemically-confirmed with urine cotinine (Hughes et al., 2003). Secondary outcomes for Aim 1 include: 
biochemically-confirmed 7-day point prevalence abstinence at Week 18, smoking rate at Weeks 12, 18, and 24 
for non-abstainers, prolonged abstinence to Weeks 12, 18, and 24, continuous abstinence at Weeks 12, 18, 
and 24, time to 7-day relapse (no grace period), and lapse and recovery events. For Aim 2, since individuals 
with HIV/AIDS who smoke report a lower QOL (Webb et al., 2007), we will closely monitor QOL, as measured 
by a commonly-used self-report scale for this population, and administer a checklist of varenicline-related side-
effects. 
 
Based on enrollment date, subjects will complete social impact assessments as part of a sub-study in 
collaboration with the Treatment Research Institute. Two assessments administered at Weeks 3, 7, and 12, 
include the self-administered, computer based ACASI-SHQ and the staff administered HVTN Social Impact 
Assessment. An additional client evaluation form is completed by participants at Week 12. Participants who 
miss administration sessions may complete the assessments at their subsequent study session. 
 
Participants who are unable to quit smoking may be given referrals for smoking cessation treatment following 
the Week 24 assessment. 
 
 
Note: If a participant is unable to complete a session in-person, assessments and counseling may be 
completed over the telephone. Participants will receive compensation for their time at the following in-person 
session. 

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Table 2: Study Measures/Events 
Study Week  
-1 
0 
1 
3 
5 
7 
9 
12 
18 
24 
Session Name 
Intake 
Pre-Quit 
TQD 
W3 
W5 
W7 
W9 
W12 
W18 
W24 
TREATMENT 
Varenicline/Placebo 
 
X 
X 
X 
X 
X 
X 
X 
 
 
Counseling  
 
X 
X 
X 
X 
X 
X 
 
 
 
SCREENING/COVARIATES  
Urine Pregnancy Screen 
X 
 
 
 
 
 
 
 
 
 
Breath Alcohol Concentration 
X 
 
 
 
 
 
 
 
 
 
Blood Pressure 
X 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Depression/Anxiety (HADS) 
X 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Demographics 
X 
 
 
 
 
 
 
 
 
 
Smoking History/FTND 
X 
 
 
 
 
 
 
 
 
 
ETOH History 
X 
 
 
 
 
 
 
 
 
 
Medical History 
X 
 
 
 
 
 
 
 
 
 
Psychiatric History (MINI) 
X 
 
Xg 
Xg 
Xg 
Xg 
Xg 
Xg 
Xg 
Xg 
Adherence to Antiretrovirals 
Instrument 
 
X 
 
 
X 
 
X 
X 
X 
X 
Pharmacy Refill Data 
 
Xd 
 
 
Xd 
 
 
Xc 
 
Xc 
Concomitant Medications 
X 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Creatinine Clearance 
Xa 
 
 
 
 
 
 
 
 
 
Viral Load Assessment 
 
 
 
 
 
 
 
Xe 
 
 
Nicotine Metabolite Ratio 
X 
 
 
 
 
 
 
 
 
 
Genetic Polymorphisms 
X 
 
 
 
 
 
 
 
 
 
Bipolar Disorder Symptoms 
(MADRSf, YMRS, Additional 
Screener, MINI)g 
X 
 
X 
X 
X 
X 
X 
X 
X 
X 
MEDIATING VARIABLES  
Affect (PANAS) 
 
X 
X 
X 
 
X 
 
X 
 
 
Cognitive Function (N-back, 
CPT) 
 
X 
X 
X 
 
 
 
X 
 
 
Nicotine Withdrawal (MNWS-
W) 
 
X 
X 
X 
 
X 
 
X 
 
 
Smoking Urges (QSU-B) 
 
X 
X 
X 
 
X 
 
X 
 
 
TREATMENT VARIABLES 
Adherence (Pill Count) 
 
 
X 
X 
X 
X 
X 
X 
 
 
Adherence (Blood) 
 
 
 
Xi 
 
 
 
Xi 
 
 
Side Effects Checklist (SEC) 
 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Side Effects (Open-Ended) 
 
 
X 
X 
X 
X 
X 
X 
X 
X 
Suicidality (C-SSRS) 
X 
X 
X 
X 
X 
X 
X 
X 
X 
X 
OUTCOMES   
Carbon Monoxide (CO) Test 
X 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Smoking Rate (TLFB) 
 
X 
X 
X 
X 
X 
X 
X 
X 
X 
Urine Cotinine 
 
 
 
 
 
 
 
Xb 
Xb 
Xb 
Quality of Life (HAT-QoL) 
 
X 
X 
X 
X 
X 
X 
X 
X 
X 
ACASI-SHQh 
 
 
 
X 
 
X 
 
X 
 
 
HVTN Social Impact 
Assessmenth 
 
 
 
X 
 
X 
 
X 
 
 
Client Evaluation Formh 
 
 
 
 
 
 
 
X 
 
 
*TQD = Target Quit Day 
*W= Week 
*Note: Target Quit Day visit may occur +3 days from target date; Week 3, 5, 7, 9, 12, 18, and 24 visits may occur 
+/- 1 week from target date.  
a Will only be completed on initially eligible participants who have not had this test within last 6 months.  
b Will only be completed on participants who self-report abstinence for > 7 days prior to the assessment. 

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c Participant’s pharmacy will be contacted to collect pharmacy refill data. 
d Collection of pharmacy contact information only. 
e A viral load assessment, conducted as part of routine clinical care any time between Week 6 and Week 18, will be 
ascertained through medical record review or contact with health clinic and recorded. 
f  MADRS administered at Intake only. 
g Abbreviated MINI (Major Depressive Episode-Current & Psychotic Disorder modules) only administered if a diagnosis of 
bipolar disorder is self-reported at Initial Eligibility Screen or Intake, or revealed via the MINI at Intake. 
h Participants whose Week 3 sessions fall after the approval date for these measures will not complete them. After 50 
participants have completed the questionnaire sequence, the measures will no longer be administered. If a participant 
misses a session, he/she will be eligible to complete the questionnaires and receive compensation at the subsequent 
session. All participants who complete the assessments will receive compensation. 
I  Blood draw will not be completed if participant has not taken study medication for 14+ days 
 
Screening/Covariate Measures. 
 
Urine Pregnancy Screen 
The urine pregnancy screen will assess for current pregnancy in all women and will be administered at the 
Intake Session. 
 
Breath Alcohol Concentration/ETOH History 
The breath alcohol concentration (BrAC) assessment will be administered at the Intake Session. The breath 
alcohol monitor assesses expired breath for alcohol content.  Any reading >0.000 indicates alcohol 
consumption within the last 14 hours. The ETOH history form will be administered at the Intake Session visit 
and will ask subjects about their alcohol consumption over the past seven days. 
 
Blood Pressure 
Participants presenting at intake with a blood pressure reading above 160 mmHg systolic and/or 100 mmHg 
diastolic will be ineligible for the study. Participants presenting with an elevated blood pressure reading 
between 150-160 mmHg systolic and/or 90-100 mmHg diastolic at intake will have a second blood pressure 
reading taken after a ten minute period in which the participants will be instructed to sit comfortably.  If, after 
the second reading: 
 
A participant has a blood pressure between 150-160 mmHg systolic and/or between 90-100 mmHg 
diastolic, the medical staff will evaluate the situation and the participant may be deemed ineligible for 
the study.   
 
A participant has a blood pressure reading above 160 mmHg systolic and/or 100 mmHg diastolic, s/he 
will be ineligible for the study. 
 
Blood pressure will be measured at each study visit.  If participants present with elevated blood pressure 
(above 160 mmHg systolic and/or 100 mmHg diastolic) at any visit following the Intake Session, the study 
physician will be notified to determine how to proceed. If the elevated blood pressure reading occurs during a 
medication distribution visit (Pre-Quit, Week 3 or Week 7), no medication may be distributed until the study 
physician is contacted to evaluate the situation. A record of this evaluation will be recorded and sent to the 
study physician by email and will be stored in the participant’s chart.  
 
Demographic and Smoking History 
We will collect demographic (e.g., age, gender, race) and smoking history (e.g., age at initiation, past use of 
nicotine treatments, current rate, menthol vs. regular tobacco) data. The Fagerstrom Test for Nicotine 
Dependence, a validated 6-item measure of nicotine dependence, will be administered (Heatherton et al., 
1991).  
 
Medical History 
A medical history will be conducted at the Intake Session to review for any contraindications listed previously. 
The medical history will be completed by a research staff member. Duration since HIV/AIDS diagnosis, mode 

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of transmission, and viral load and CD4+ counts will be assessed. Current medication usage will be tracked at 
each time-point. 
 
Psychiatric History  
Current and lifetime prevalence of major depression, suicidality, bipolar disorder, substance abuse or 
dependence, psychosis, and generalized anxiety disorder will be determined using the Mini International 
Neuropsychiatric Interview (MINI).  The MINI (Sheehan, Lecrubier et al. 1998) is a 10-15 minute structured 
interview developed by the World Health Organization to assess major DSM-IV Axis 1 psychiatric diagnoses. 
This instrument, completed by a research staff member at the Intake Session, permits both current (past 30 
days) and lifetime assessments of psychiatric illness and data support its reliability and validity (Sheehan, 
Lecrubier et al. 1998). Suicidality will be further assessed at each visit through the Columbia Suicide Severity 
Rating Scale (www.cssrs.columbia.edu). 
 
Creatinine Clearance and Liver Function 
Initially eligible participants who have not had tests of creatinine clearance within the past 6 months (as 
determined by medical record review or provision of lab results to study staff) will have this test completed 
during the Intake Visit. 
 
Estimated Creatinine Clearance (or eCrCL) will be calculated through the Cockcroft-Gault formula, a commonly 
used surrogate marker for estimate of creatinine clearance (Cockcroft & Gault, 1976). 
 
 
 
 
 
Viral Load Assessment 
A viral load assessment, conducted as part of routine clinical care any time between Week 6 and Week 18, will 
be ascertained through medical record review and recorded.  
 
Depression and Anxiety  
The Hospital Anxiety and Depression Scale (Zigmond & Snaith, 1983), a 14-item self-report measure, will 
assess depression and anxiety symptoms at each visit. This scale correlates with clinical ratings of depression 
and anxiety (Zigmond & Snaith, 1983) and is used with individuals with HIV/AIDS (Savard et al., 1998). This 
measure may be used as a mediator and a covariate.  
 
HAART Adherence  
HAART adherence will be assessed with a self-report measure, the Adult AIDS Clinical Trials Group 
Adherence to Antiretrovirals Instrument (Chesney et al., 2000) (Pre-Quit, Weeks 5, 9, 12, 18, 24) and 
pharmacy refill data (Weeks 12 & 24), as we have done successfully with CFAR patients (Grossberg, Zhang, & 
Gross, 2004). In order to collect pharmacy refill data, the research staff will call the participant’s pharmacy to 
obtain prescription refill dates for a specified antiretroviral medication (see Index Drug determination 
procedures). The refill date, number dispensed, dosage, and frequency will be collected. We will compute an 
adherence variable that consists of the percentage of doses taken over doses prescribed according to medical 
refill records (Gross et al., 2006).These data will consider all information on HAART use (e.g., type, dose). 
 
Index Drug: The protease inhibitor (PI) or non-nucleoside reverse transcriptase inhibitor (NNRTI) will be 
the index drug of interest. For participants taking both a PI and NNRTI, the PI will be the index drug 
because studies to date that have assessed viral load change in relation to adherence have focused 
primarily on PIs. For participants taking two PIs including ritonavir, ritonavir will be the index drug. 
Ritonavir is rarely used as a single PI and is therefore indicative of dual PI therapy. Dual PI regimens 
are used primarily in patients who have experienced treatment failures with other PIs. Therefore, 
participants on ritonavir plus a second PI (e.g., saquinavir or indinavir) are more alike than individuals 
on the second PI (e.g., saquinavir or indinavir) alone. Thus, assessing the ritonavir will be more 
relevant in this subgroup. If the participant is not on NNRTI or PI, the integrase strand transfer inhibitor 
(ISTI) will be the index drug. If the participant is not on NNRTI, PI or ISTI, the CCR5 antagonist 
(maraviroc) will be the index drug. In participants taking an abacavir-containing triple nucleoside 

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regimen, abacavir will be the index drug because it has the most antiviral activity of the nucleoside 
analogue reverse transcriptase inhibitors and is used in the place of a PI or NNRTI in this setting.  
 
Nicotine Metabolic Rate (3-HC/cotinine ratio) and Genes related to Nicotine Dependence  
Two baseline blood samples will be collected at Intake and analyzed for nicotine metabolites to determine rate 
of nicotine metabolism. Nicotine is metabolized to cotinine and then to 3-HC by the P450 (CYP) 2A6 enzyme 
(Nakajima et al., 1996). The 3-HC/cotinine ratio is a stable measure of the rate of nicotine metabolism, which 
influences response to nicotine dependence treatments (Lerman et al., 2006; Patterson, Schnoll et al., 2008). 
Variation in 3-HC/cotinine and other genetic polymorphisms in nicotine metabolizing enzymes (CYP2A6) and in 
drug targets (CHRNA4, CHRNB2, etc.) will also be explored for associations with therapeutic response to 
treatment.  The biosamples of individuals who complete the Pre-Quit visit will be sent to the laboratory of Dr. 
Rachel Tyndale at the University of Toronto for analysis. These analyses will be exploratory. 
 
Bipolar Disorder Symptoms 
If a diagnosis of bipolar disorder is self-reported at Initial Eligibility Screen or Intake, or revealed via the MINI at 
Intake, the Montgomery-Asberg Depression Rating Scale (MADRS), Young Mania Rating Scale (YMRS), and 
a Bipolar Disorder Additional Screener will be completed to evaluate and monitor the presence and severity of 
bipolar disorder symptoms. 
 
 
Mediating Variables.  
 
Mood: Positive and Negative Affect  
The Positive and Negative Affect Schedule (PANAS; Watson et al., 1988), a 20-item self-report measure, 
assesses positive (PA; 10 items, e.g., enthusiastic) and negative (NA; 10 items, e.g., distressed) affect. The 
inclusion of PA is a strength since it is less frequently examined as a mediator of smoking cessation. The 
PANAS subscales are internally consistent ( = .84-.91) and exhibit good validity (Watson et al., 1988). The 
depression and anxiety scales described above will be mediators as well. The PANAS will be administered at 
Pre-Quit, Target Quit Day, and Weeks 3, 7, and 12. 
 
Cognitive Function 
Neuropsychological tests will be administered in a quiet laboratory testing room on a Dell® desktop computer 
running on Windows XP® at the CIRNA. Unless otherwise noted, all tasks will be administered via E-Prime 2.0 
(Psychology Software Tools, Inc.).  The computerized battery is administered in a random order using clickable 
icons.  Total administration time is ~ 30 minutes. The tasks are: 
 
 
Visual/Spatial-N-Back: 3-back version (VSNB3).  The n-back is one of the most commonly used paradigms 
in neuroimaging studies investigating the neurological underpinnings associated with maintenance and 
retrieval of information in working memory (Owen, McMillan, Laird, & Bullmore, 2005). The current study 
employs a visuo-spatial working memory task that is based on the visuo-spatial n-back paradigms used in 
prior research (Ehlis, Bahne, Jacob, Herrmann, & Fallgatter, 2008; Green et al., 2005; Owen, et al., 2005). 
During the n-back, participants are instructed to remember the location of a stimulus, a grey circle that is 
approximately 5 cm in diameter, as it appears randomly in 8 possible locations around the perimeter of a 
computer screen. The stimulus will appear for 200 ms, followed by an interstimulus interval (ISI) of 2800 
ms. A cross hair will remain visible during the stimulus presentation to cue participants to look at the center 
of the screen so that all stimuli appearing around the perimeter of the screen can be seen clearly.  The n-
back task includes 4 conditions of varying difficulty levels: the 0-back, 1-back, 2-back, and 3-back. 
Participants respond only to targets (30% of stimuli) by pressing the SPACEBAR. They are instructed to do 
nothing on other trials. 
 
Each of the task conditions (0-, 1-, 2- & 3-back) will be administered in a pseudorandomized 
counterbalanced order. Each difficulty level will consist of 1 block of 50 trials, preceded by a practice block 

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of 20 trials. During the 0-back, participants are instructed to press the SPACEBAR if the stimulus appears 
in a predetermined location (designated as the upper left corner of the computer screen. The 0-back serves 
as a baseline condition of the n-back, during which participants are engaged in a task that does not require 
storage or manipulation of information in working memory, but is otherwise analogous to the other n-back 
conditions. During the 1-back, participants are instructed to press the SPACEBAR whenever the stimulus 
appears in the same location as the stimulus that immediately preceded it and to do nothing if it the 
stimulus appears in any other location. During the 2- and 3-back conditions, participants are instructed to 
press the SPACEBAR whenever the stimulus appears in the same location as the stimulus that preceded it 
by 2 or 3 trials, respectively. The primary dependent variables for this task are total number of correct 
responses and reaction time. Time: approximately 16 min.  
 
• 
Penn Continuous Performance Test - Number/Letter Version (PCPT-nl).  The PCPT-nl is a measure of 
visual attention and vigilance based on the Penn CPT (Kurtz et al., 2001).  In this task, a series of red 
vertical and horizontal lines (7-segment displays) flash in a digital numeric frame (resembling a digital 
clock).  The participant must press the spacebar whenever these lines form complete numbers or complete 
letters.  The task is divided in two parts, each lasting three minutes: in the first part the participant is 
requested to respond to numbers and in the second part the response is to letters.  The participant 
practices both sets of trials before the task begins. Time: approximately 10 min with practice. 
 
For both measures, median reaction time for correct responses measures cognitive performance. These tasks 
will be administered at Pre-Quit, Target Quit Day, and Weeks 3 and 12. 
 
Withdrawal Symptoms and Cravings 
Minnesota Nicotine Withdrawal Scale (MNWS-W) (with a one-week frame of reference) will measure 
withdrawal symptoms associated with quitting smoking. The Likert-style scale assesses 7 DSM-IV items of 
nicotine withdrawal (e.g., restlessness, irritability).  
 
Craving will be assessed by the well-validated Questionnaire of Smoking Urges (QSU-B). The QSU contains 
10 items forming 2 subscales (anticipation of reward, relief from negative affect) with established reliability. 
Cravings to smoke following a quit attempt have been related to cessation.  
 
These measures will be administered at Pre-Quit, Target Quit Day, and Weeks 3, 7, and 12. 
 
Treatment Measures.  
 
Varenicline Adherence 
Varenicline adherence will be assessed by self-report using a time-line follow-back procedure and by pill count 
and the collection of used blister packs at each visit during the treatment period as done in past varenicline 
trials (e.g., Gonzales et al., 2006; Jorenby et al., 2006; Ebbert et al., 2009). We will also collect blood samples 
(10 mL) at Weeks 3 and 12 to assess varenicline levels as an additional measure of adherence and to 
examine the validity of self-report and pill count data. An adherence covariate will represent the proportion of 
total dose taken. These biosamples will be shipped to the laboratory of Dr. Neal Benowitz at the University of 
California San Francisco for analysis. These blood samples will not be collected if the participant has not taken the 
study medication for 14+ days. 
 
Side Effects 
As in our past varenicline trials (Patterson et al., 2009; Schnoll et al., 2011), a checklist and open-ended 
questions will assess the frequency and severity of varenicline-related side effects at all time-points  after the 
Intake Session over the course of the 24-week study, before and after medication initiation. These assessments 
monitor participant safety and dose reductions or suspension can occur. Side effects will be a study outcome and 
can be a covariate in the analysis as the overall frequency and/or as the presence (ever) of specific side effects. 
This measure includes psychiatric events (e.g., depressed mood, suicidal ideation; Kuehn, 2008) and 
cardiovascular side effects.  

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Outcomes Variables.  
 
Abstinence (primary) 
Smoking status will be assessed using the timeline follow-back method (Brown et al., 1998) as done previously 
(Lerman et al., 2004; Schnoll et al., 2010b) and by using urinary cotinine to biochemically verify the self-report.  
Participants will be considered to be abstinent if they self-report abstinence (not even a puff of a cigarette) for 
>7 days prior to the assessment at Weeks 12 and 24 and have a urine cotinine <100ng/ml at the time-point 
(SRNT, 2002; Hughes et al., 2003). As per convention, participants are assumed to be smoking if they self-
report to be smoking at the time-point, cannot be reached to provide data at the time-point, fail to provide a 
urine sample at the time-point, or provide a urine sample at the time-point that is >100ng/ml (SRNT, 2002).  
 
Other Smoking Measures (secondary) 
As per recommendations (Hughes et al., 2003), secondary smoking outcomes include: prolonged abstinence 
to Weeks 12 and 24 (relapse is 7 consecutive days of self-reported smoking, after a 2-week grace period), 
continuous abstinence at Weeks 12 and 24 (no smoking between the quit day and the follow-up; no smoking 
during weeks 9-12 as measured in previous varenicline trials with the general population of smokers; Gonzales 
et al., 2006), time to 7-day relapse (no grace period), smoking rate, and lapse (smoking episodes not lasting 7 
days) and recovery (return to 24-hour abstinence) events (see Schnoll et al., 2010b). Abstinence and smoking 
rate outcome will also be available for Week 18.  
 
Cessation/Smoking Rate: Daily smoking (presence and rate) will be assessed at each visit after Intake 
Session with the well validated timeline followback method (TLFB).  These data can be used to assess 
the timing and rates of lapses (smoking episodes not lasting 7 days), recovery events (return to 
abstinence), and relapse events, as well as to monitor changes in smoking rates (i.e., # cigarettes/day). 
These data will also be used to compute and assess secondary measures of smoking cessation (e.g., 
continuous and prolonged abstinence). 
 
Carbon Monoxide (CO) Test: Carbon monoxide will be measured at Intake and all subsequent visits to 
confirm smoking status.  
 
NicAlertTM Urine Dipstick (cotinine assessment): Smoking status will be assessed with NicAlertTM urine 
dipsticks from Nymox Pharmaceutical Corporation 
(http://www.nymox.com/products/nicalert/product_insert_for_urine.html). A midstream urine sample of 
approximately 25mL will be used to test for the presence of cotinine. Results will appear in one of 
seven category levels of usage.  Level 0 indicates no detectable tobacco use; levels 1-2 indicate 
presence of cotinine, but as a non-user, and levels 3-6 indicate cotinine consistent with tobacco use. 
Participants with results in levels 3-6 will be considered smokers. The NicAlertTM urine cotinine 
assessment will be used to verify smoking status at Weeks 12, 18, and 24. 
 
Quality of Life (QOL) 
The HIV/AIDS-Targeted Quality of Life scale (HAT-QoL; Holmes & Shea, 1998; 1999) measures overall 
functioning, which will be the primary measure of QOL for this study, but several subscales of QOL are also 
included such as life satisfaction, health worries, HIV mastery, financial worries, and disclosure worries which 
will be explored in Aim 2 analyses. This measure will be administered at each visit after the Intake Session. 
 
Social Impact Assessments 
Several National Institute of Allergy and Infectious Diseases (NIAID)-sponsored groups have incorporated 
general assessments to measure the social impact of research participation in HIV vaccine trials (e.g. Social 
Impact Assessment used by the HIV Vaccine Trial Network HVTN; Allen, 2008). The Client Evaluation Form is 
a modified version of the well-validated Client Satisfaction Questionnaire (CSQ; Larsen et al., 1979; Sabourin 
et al., 1988) that contains 12 likert-scale type items assessing overall acceptability and satisfaction with the 
content and format of the ACASI-SHQ. The audio computer assisted self-administered interview social harm 
questionnaire (ACASI-SHQ) was designed to allow researchers to more easily identify and monitor social 

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harms experienced by substance abusers participating in HIV trials. It is hypothesized that the ACASI-SHQ will 
(1) reduce the likelihood of socially desirable responding by using the ACASI medium, (2) increase the 
likelihood of identifying social harms (construct validity) by including items with greater levels of specificity, and 
(3) increase the likelihood of its adoption by HIV researchers by utilizing a self-interview format. These 
assessments constitute a sub-study by co-collaborators Dr. David Festinger and Dr. Karen Dugosh of the 
Treatment Research Institute.  
 
2.  Statistical Analysis 
 
Power 
Power is provided for the primary aims since the exploratory aim is hypothesis generating. Power calculations 
were all approximated as t- or z-tests (2-sided,  = .05), and conducted using PASS Software (Power and 
Sample Size, NCSS Software, Kaysville, UT).  
 
Aim 1: The primary analysis is a comparison in week 12 and 24 cotinine-confirmed 7-day point 
prevalence quit rates between placebo and varenicline. For the week 12 comparison, we based our sample 
size selection on the expectation that quit rates in the placebo and varenicline arms would approximate those 
reported in past varenicline trials with the general population of smokers (i.e., placebo = 21.2%; varenicline = 
50.3%; Gonzales et al., 2006). With a sample of 310, we have >90% power to detect a significant effect 
between our treatment arm. Notably, we have 80% to detect a difference in week 12 quit rates if the difference 
between treatment arms is as small as 15%, not 29% as found in Gonzales et al. (2006), since the effect for 
varenicline may be smaller in this sub-group of smokers. For the week 24 comparison, we based our sample 
size on the expectation that the quit rate in the placebo arm would be 14.5%, vs. 33.5% for varenicline 
(Gonzales et al., 2006). In this case, we have 85% power to detect a significant difference between treatment 
arms. However, we have 80% power to detect a difference between treatment arms if the treatment arm 
difference is only 15%, not the 19% reported in Gonzales et al. (2006), since the effect for varenicline may be 
smaller in this sub-group of smokers. Even though it may appear that we are over-powered for Aim 1, we 
require the proposed sample to conduct the non-inferiority analyses for Aim 2. 
 
Aim 2: The analyses are a comparison in week 12 and 24 differences in QOL and severe side effects. 
For QOL, the overall scale mean among HIV/AIDS patients is 58.3 (SD = 24.5, Range 14-100; Holmes & 
Shea, 1998). We have 80% power to detect a mean difference of 7.8 at any time-point between the treatment 
arms with the proposed sample of 310. For side effects, the analyses will involve a test of non-inferiority since 
we cannot use standard statistical tests and conclude that a non-significant comparison shows that the drug is 
safe (i.e., “the absence of evidence is not evidence of absence”). In our past study with varenicline, 61% of 
participants on varenicline reported no severe side effects, vs. 76% of participants on placebo, a 15% 
difference (Patterson et al., 2009). With the present sample size, we will have 80% power to detect similar 
equivalence between treatment arms in terms of the frequency of severe side effects over the course of the 12-
week treatment, given that side effects are actually non-significantly different across the treatment arms.  
 
Aim 3: The analyses will assess changes in affect and cognitive function as mediators of treatment arm 
effects at week 12 and 24. These measures are continuous difference scores. Our sample of 310 is well above 
the minimum sample of 200 recommended for models of this size (Haduk, 1987; Boosma & Gabrielli, 1985). 
The mediation hypothesis will examine the proportion of treatment effect explained (Lin et al., 1997; Vittinghoff 
et al., 2009), and will test each mediation hypothesis with a z-score generated using the delta method. Our 
sample of 310 gives us 80% power to observe small effects in a 1-sample test (=0.20) when testing at 
α=0.05. There are four proposed mediating pathways (2 measures of affect and cognition, respectively) 
between treatment and outcome, so our type-1 error will be corrected to 0.0125. Our sample of 310 gives us 
80% power to detect small to medium effects (=0.19) for changes in the proposed mediators, which we have 
seen in previous trials (Patterson et al., 2009; Schnoll et al., 2010a). 
 
Data Analysis 
Dr. Wileyto will oversee analyses which will be conducted using Stata, SAS, or R-Language software. 
Preliminary analyses will assess sample characteristics by treatment with chi-square or logistic regression 
(e.g., gender, dependence, depression). These variables will also be examined for their relationship to 
completion of outcome assessments. Variables related to treatment arm or completion of follow-ups will be 
included as covariates in analyses of study aims. Compliance measures will be evaluated across treatment 
arms, and controlled for in primary analyses. We will examine the correlation between self-report and pill count 
data and week 3 and 12 varenicline levels. Although we will use intent-to-treat as the primary method for 

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evaluating study aims, we will conduct a completers only analysis of study aims and examine study aims with 
participants lost to follow-up due to death excluded as done previously (Schnoll et al., 2003). 
 
Missing Data: We will examine if the rate of missing data, primarily our smoking cessation outcome data, 
is related to a range of potential variables, including treatment arm allocation and HIV/AIDS-related, 
demographic, and smoking-related variables. Standard statistical methods will be used to identify possible 
correlates of missing data such as chi-square and regression. Variables found to be associated with the rate of 
missing data (p < .05) will be included as covariates in the analyses of aims. In the event of items missing at 
random on measures, items will be imputed prior to calculating final scores using conditional means, estimated 
with an iterated version of Buck’s method (Gleason & Staelin, 1975). Dropout and missed sessions present a 
more serious issue. The best way to deal with this is to avoid the problem in the first place by keeping subjects 
connected to the trial and motivated to complete measures. In our clinical trials, compliance and retention rates 
were >80% thanks to our close monitoring of participants and use of incentives to offset travel costs (Schnoll et 
al., 2008). Primary analyses will assume that all subjects for whom smoking outcome data are unavailable are 
smokers (intent-to-treat). This assumption, which is conventional in smoking cessation research, can attenuate 
the differences between study groups in quit rates. Thus, we will also conduct a “completers-only” analysis. 
 
 
Aim 1: Compare 12-weeks of varenicline treatment and behavioral counseling to 12-weeks of 
placebo treatment and behavioral counseling for treating nicotine dependence among individuals with 
HIV/AIDS.  We will analyze quit rates using mixed effects logistic regression. The model will include a term for 
time-point and, possibly, a small number of covariates as needed. The hypothesized effect of treatment arm 
(placebo vs. varenicline) will be tested by including a dichotomous term for treatment arm; we will also test for 
an interaction between time-point and treatment. Outcomes of the logistic regression analyses will be 
characterized by odds ratios (e.g., odds of quitting smoking) and 95% confidence intervals. Although quit-rates 
at the end of 12 and 24 weeks will represent our primary outcome variables, similar logistic regression 
analyses will be performed for other measures of quit rates, including prolonged and continuous abstinence. In 
addition, many participants will fail to become completely abstinent, but may show a reduction in smoking. A 
secondary analysis will examine the effect of treatment arm on daily cigarette counts using mixed effects 
negative-binomial regression. Likewise, time to (recurrent) event models will be fitted using Cox regression, 
stratified by event sequence, as in Schnoll et al. (2010b), to assess lapse and recovery events over 24 weeks. 
 
 
Aim 2: Assess effects of varenicline therapy on QOL and side effects. Repeated-measures MANOVA 
will examine differences across treatment arms in QOL (total scale score and subscale scores) over the trial. 
Participant covariates will be included, such as medical treatment history. In addition, we will compare 
treatment arms in terms of the frequency of severe side effects (individual, including cardiovascular side 
effects, and total). Using logistic regression, we will test against the lower boundary on percent reporting only 
mild-moderate (i.e., < severe) side effects. The hypothesis test for equivalence is a test of whether the OR is 
out of the prescribed range for the difference between the treatment arms. This approach provides a more 
valid test of the potential safety of varenicline for individuals with HIV/AIDS vs. a simple comparison of mean 
responses on a side effects measure. We will also examine if participants on tenofovir (vs. other HAART) 
experience a greater frequency or more severe varenicline side effects by including type of HAART as a 
covariate in these analyses and, if so, we can explore if this relationship is mediated by varenicline plasma 
levels using a regression-based path model. Lastly, we will also examine if the frequency of cardiovascular 
side effects is different between treatment arms while considering if participants are currently taking HAART or 
not by including a covariate for current HAART use in the logistic regression models of side effects. 
 
 
Aim 3: Assess changes in affect and cognitive impairment as 
mediators of varenicline therapy’s effect on quit rates. We will use a 
regression-based path model approach to examine mediation of treatment 
effects based on MacKinnon et al. (2007). All variables will be standardized 
for the analyses. Candidate mediators include positive and negative affect 
and two cognitive performance task measures. Suspected mediators will be 
entered as standardized pre-post differences, continuously distributed and 
treated as normal in linear regression. The effects of treatment arm on 
mediators, and of mediators on outcome, will be assessed using linear 
regression and standardized variables. We will focus on changes in 

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mediators from baseline to week 3, since abstinence-induced withdrawal effects typically peak within the first 3 
weeks of cessation (Hughes, 2007) but we can examine delayed changes to weeks 5, 7, and 9 as well. We will 
then assemble the path model using “seemingly unrelated estimation” methods (Beasley, 2008; Zellner, 1962). 
The path model partitions the effect of treatment on outcome into direct (and unexplained) effects vs. mediated 
effects. We will then test the overall mediation hypothesis using the proportion of treatment effect explained 
(Lin et al., 1997; Vittinghoff & McCulloch, 2009), and the strength of each mediating pathway as follows. We 
will estimate the model for standardized treatment predicting abstinence without mediators to estimate the 
direct effect of treatment in the unadjusted model (
†ˆ). We will then test whether treatment predicts each of 
the suspected mediators and, in turn, test whether mediators predict abstinence in an adjusted treatment 
model and estimate the effect of treatment in the mediator adjusted model
*ˆ. Finally, we will calculate the 
proportion of treatment effect explained, which is calculated as 

†
*
ˆ
ˆ


; the standard error for this quantity is 
calculated using the delta method, and the mediation hypothesis will be tested using a z-test. Individual 
pathways will be tested using products of the coefficients along each path using a delta-method based z-test. 
 
 
Exploratory Aim: Explore participant-related variables as moderators of varenicline therapy’s effect 
on quit rates. These analyses will be hypothesis-generating. Variables will be chosen for this analysis based 
on their association with smoking behavior among those with HIV/AIDS (e.g., Webb et al., 2007). The 
significance of participant-related variables (e.g., mode of transmission, level of nicotine dependence, use of 
menthol tobacco) as moderators of varenicline’s effect on quit rates can be evaluated by fitting logistic 
regression models relating quit rates to treatment arm and covariates. The likelihood ratio test can determine 
whether including such variables in the model contributes significantly to model fit. Evaluating the effect of 
treatment arm on quit rates by history of IV drug use, for example, is essentially doing a subgroup analysis of 
the interaction effect separately by such variables. To test the significance of a moderating influence of these 
variables, 2-way interaction terms can be added sequentially in steps of a hierarchical logistic regression 
model. A range of participant-related characteristics, such as socio-demographic (e.g., gender, race), 
psychiatric (e.g., depression), and medical (e.g., HIV/AIDS symptoms, method of HIV transmission) variables 
can be explored for potential interactions with treatment arm to influence quit rates at weeks 12 and 24. 
 
     Additional Exploratory Analyses: This trial will allow us to explore additional secondary hypotheses. One 
such analysis will focus on the assessment of whether HAART adherence is related to smoking cessation 
outcomes. Dr. Gross, an expert in the assessment and evaluation of HAART adherence, will work with Dr. 
Wileyto to explore if response to varenicline, for example, affects HAART adherence or if HAART adherence is 
related to varenicline adherence. Prediction models of cessation outcomes (or varenicline adherence) using 
treatment arm and HAART adherence can be examined with logistic regression. We will also examine the 
relationship between 3-HC/cotinine and other variants in genes responsible for nicotine metabolism and drug 
target and response to varenicline for exploratory purposes. 
 
3.  Confidentiality  
All subject information will be kept in a secure filing cabinet that is accessible only to authorized study 
personnel.  All databases containing subject information will be password protected, and again, accessible only 
to authorized study personnel. Each subject will have a unique study ID number for all data collected. In all 
data sets we will use ID numbers, only. A separate data set linking names with ID numbers will be accessible 
only by the senior project staff.  All communications about subjects will use the ID number only and never 
include names or other personal information. All data will be stored until all analyses are completed. No data 
will be shared with any unauthorized party (i.e., aside from study personnel and regulatory officials). Any 
publication of data will not identify subjects by name or with an identifier that could be used to reveal identity. 
 
Data will be accessible the study Principal Investigator, Co-Investigators, the Study Physician, other study staff 
and the UPenn IRB and Office of Human Research. 
 
How will confidentiality of data be maintained?  Check all that apply. 
 Paper-based records will be kept in a secure location and only be accessible to personnel involved in the study. 
 Computer-based files will only be made available to personnel involved in the study through the use of access 
privileges and passwords. 

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 Prior to access to any study-related information, personnel will be required to sign statements agreeing to protect the 
security and confidentiality of identifiable information. 
 Whenever feasible, identifiers will be removed from study-related information.  
 A Certificate of Confidentiality will be obtained, because the research could place the subject at risk of criminal or civil 
liability or cause damage to the subject’s financial standing, employability, or liability. 
 A waiver of documentation of consent is being requested, because the only link between the subject and the study 
would be the consent document and the primary risk is a breach of confidentiality.  (This is not an option for FDA-
regulated research.)  
 Precautions are in place to ensure the data is secure by using passwords and encryption, because the research 
involves web-based surveys.   
 Audio and/or video recordings will be transcribed and then destroyed to eliminate audible identification of subjects.  
 Other (specify): 
 
4. Subject Privacy/Protected Health Information 
The following personal health information will be collected as part of this study: 
 
Name, address, telephone number 
 
Date of birth 
 
Social security number (W-9 form) 
 
Some personal information that may be considered sensitive, such as medical history, psychological 
history, alcohol use history, etc.  
 
Results from physical examinations, tests or procedures 
 
Genetic information from the blood samples provided at the Intake Session 
 
Information on tobacco related biomarkers from the blood samples provided at the Intake Session and 
the follow-up the urine samples  
 
Information on medication adherence from the blood samples at Week 3 and Week 12 visits 
 
Medical Record Number 
 
Prescription Refill Information 
 
Every possible precaution, as described above, will be taken to ensure that the privacy of subjects’ personal 
health information will be maintained.  
 
5.  Tissue Specimens 
Blood.  
Because, on average, the quality of DNA that is extracted from blood is superior to the quality of DNA that is 
extracted from saliva, we are asking participants to provide 2 tubes of blood (up to 20mL or 1.5 tablespoons) at 
the Intake Session for genetic analysis (NMR & other genetic polymorphisms).  Given that the complete 
predictive validity of the genotypes under study are not fully known at this time, participants will not be informed 
of the test results. All specimens are to be collected solely for research purposes.   
 
One 10mL sample of blood will be drawn at two sessions (Weeks 3 and 12) to evaluate varenicline adherence, 
unless the participant has not taken the study medication for 14+ days. 
 
An 8.5mL blood sample may also be collected following Intake to assess creatinine clearance in participants 
who have not had these assessments within the past 6 months. 
 
Urine.  A urine sample will be required from females at the Intake Session for pregnancy screening. Subjects 
who have a positive pregnancy test will be deemed ineligible. Urine samples will also be collected at Weeks 
12, 18, and 24 to assess urine cotinine levels.  
 
6. Genetic Testing 
As described throughout the protocol, this study involves testing blood samples to identify NMR for participants 
and examination of DNA from blood samples to evaluate additional genetic variation related to smoking 
behavior and treatment outcomes. All biospecimens will be numerically coded and any information linking this 

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numeric code to the participant’s protected health information will be kept separate and secure as described 
above. No information concerning the results of this testing will be shared with the study participants. 
 
RISK/BENEFIT ASSESSMENT 
1.  Potential Study Risks 
A detailed description of the study will be given to all subjects, which will include the risks of participation, 
assurance of full confidentiality, and the knowledge that their freedom to refuse participation or withdraw from 
the project will not affect the availability of treatment at the University of Pennsylvania. Informed consent 
procedures will comply with current standards of the IRB at the University of Pennsylvania. Subjects can 
choose, as an alternative, to not enroll in this study. Adverse reactions will be assessed and reported as 
required by Federal law and the regulations of PENN.  
 
Blood Draw.  Blood draws may result in bruising and/or slight bleeding at the needle site.  This is rare and 
happens infrequently.  Occasionally, blood drawing results in a feeling of faintness.  This too is rare.  A trained 
professional will draw blood, so the chances of these discomforts are minimal. Procedures are in place to 
ensure that PHI is not linked with the results of this research.   
 
Assessments. Subjects may experience emotional distress during assessments from discussing feelings and 
attitudes about smoking or from learning about the risks from smoking. These events happen very rarely and in 
almost all cases are short-lived and of low intensity, lasting for 1-2 weeks. Study personnel will be alerted to 
expect this from a small number of subjects and will be trained to make referrals for mental health services as 
needed. Personnel will be trained to query for adverse emotional reactions during assessments and will be 
trained to deal with such reactions and to provide additional referrals if needed. In addition, if assessments 
indicate psychiatric concerns, referrals to appropriate psychological services will be provided. 
 
Study Medication: Members of the study team have completed numerous clinical trials which tested 
medications for nicotine dependence (including varenicline). In order to ensure safety for all participants, the 
Principal Investigator will work closely with the study physician to determine participant eligibility and to 
continue to assess safety once a participant is enrolled. They will determine if any serious adverse event 
requires additional care. Such events may be referred to the out-patient department or to the emergency 
department of the clinical site. Information specific to each study medication is included below. 
 
Varenicline. Some people who take varenicline may experience nausea, sleep disturbance, constipation, 
flatulence, and vomiting; however, these symptoms are usually mild and temporary. There have also been rare 
reports of erratic behavior, aggressive behavior, depressed mood, and suicidal thoughts/behavior. To minimize 
the likelihood of participants experiencing these side effects we will: 
 
 
Employ a stringent list of exclusionary criteria 
 
Administer the standard and recommended dose run-up to the 1mg B.I.D. dose 
 
Monitor self-reported side effects at each assessment time-point. 
 
Open-ended evaluation of any potential adverse events. 
 
Study Physicians will be alerted to any severe side effects or any reported adverse events. The Study MD will 
review the information provided by the research staff and if applicable, will contact the study participant to 
gather more information and determine the appropriate course of action for the subject. Ultimately, the Study 
Physician will decide if the AE is related to study medication and whether the subject should discontinue taking 
study medication. Dose reductions, which will be tracked, may also be employed to minimize any side effect. 
 
Varenicline may be associated with an increased risk of certain cardiac and vascular side effects, including 
chest pain, heart attack, and stroke.  These risks are rare and are still being studied to determine how real they 
are.  However, our study staff follows strict procedures to monitor for the presence of these side effects, 

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including monitoring blood pressure at each in person visit and asking specific side effect questions related to 
cardiovascular events (e.g. chest pain, weakness on one side, etc) during each session. 
 
Varenicline may also be associated with new or worsening seizures during the first month of treatment. Some 
patients had no history of seizures, whereas others had a history of seizure disorder that was remote or well-
controlled. Participants will be advised not to take Chantix if they have an unstable, untreated history of 
seizures.    
 
Participants will also be told that varenicline may impair their ability to perform tasks requiring judgment or 
motor and cognitive skills and that they should proceed with caution in this regard until they are certain that 
varenicline does not affect their performance. Participants will be told that varenicline may be associated with 
somnambulism (sleep walking) that may result in harmful behavior to self, others, or property, and if they notice 
such behaviors that they should discontinue varenicline and notify the study staff after seeing their medical 
provider. Participants will also be advised that Chantix may affect their response to alcohol including lower 
alcohol tolerance, aggressive behavior, or impaired memory following consumption of alcohol. Participants will 
be instructed to minimize alcohol intake (no more than 3 drinks per occasion or within a 24-hour time period) 
while taking varenicline. Participants will be advised to inform the study staff if they are taking or plan to take 
any prescription or over-the-counter drugs. Women will be advised to notify the study staff if they become or 
intend to become pregnant during the study period.  The research team has extensive prior experience 
conducting smoking cessation trials with varenicline. 
 
Reproductive Risks. Because varenicline safety for an unborn baby is unknown, participants will be told that 
they should not become pregnant while on this study. Women taking study medication should not nurse a 
baby. If the woman is of childbearing potential, she must use an adequate form of contraception while study 
medication is being taken and for at least one month after the medication period. If the woman is pregnant or 
breast feeding, she may not participate in this study, and if she becomes pregnant during the study, study 
medication will be immediately discontinued and the woman will be permitted to continue with counseling and 
assessments only. Women will be asked to take a pregnancy test before starting the study. 
 
Withdrawal Syndrome. Many individuals who quit smoking exhibit a pattern of symptoms related to 
withdrawal from tobacco use. These symptoms include: sadness and anxiety, irritability, anger, difficulty 
concentrating, appetite change and weight gain, insomnia, and decreased heart rate. Eliminating the risk for 
these would not be possible, although in most cases these events are short-lived and have low intensity, 
lasting for 1-2 weeks. The study personnel will be trained to recognize these symptoms and educate the 
participants about them (e.g., their duration, methods for reducing them).  
 
Potential Loss of Confidentiality: Every attempt will be made by the investigators to maintain all information 
collected in this study strictly confidential.  We will store subject information in a secure room with limited 
access.  Only people working on this research project can work with subject information. We will control access 
to the computer files that hold this information. This information will not be released to anyone.   When the 
results of the study are published, no names or identifying information will be used. 
 
2.  Potential Study Benefits 
All participants who enroll in this study will receive behavioral counseling to aid them in their effort to quit 
smoking.  They may also benefit from the knowledge that they are contributing in an important way to 
potentially furthering scientific knowledge concerning ways to improve cessation treatment for smokers. 
 
3.  Alternatives to Participation 
As an alternative to enrolling in this study, participants may choose to continue to smoke or to seek assistance 
with quitting smoking through other treatment programs located in their area, including contacting the national 
quit-line. At any point in this trial, subjects may decide not to continue in their participation.   
 

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IRB APPLICATION    page 25 of 37 
4.  Data and Safety Monitoring 
Who will monitor this study?  Check all that apply. 
 Principal Investigator 
 Sponsor or contract research organization 
 NCI sponsored cooperative group 
 Cancer Center (if mandated by CTSMRC) 
 Medical monitor 
 Data and safety monitoring board 
The PI will be responsible for the overall data and safety monitoring of the study.  During the course of the 
study, data and safety monitoring will be performed on an ongoing basis by the DSM Board and by project staff 
and the site IRB. The Project Staff are responsible for collecting and recording all clinical data. This includes 
ensuring that all source documents exist for the data on the case report forms, ensuring all fields are 
completed appropriately, and all corrections are done according to Good Clinical Practice (GCP’s). Any 
inconsistencies/deviations will be documented. The Study Coordinator will perform regular chart review to 
verify data integrity. The study medical personnel will be available to review assessments for each participant 
on an ongoing basis. Project Staff will meet on a regular basis to reconcile data queries and safety concerns. 
The site IRB will review the trial, including AEs and SAEs, on an annual basis. The DSMB will review the trial 
data as described below. 
 
Frequency of DSM Reviews 
Data will be reviewed on a regular basis. Specifically: 
a. At data capture, the research staff will review data for completeness and integrity. 
b. At data entry, the data management system will include multiple internal validity checks which will 
prompt the staff if an entry was made that is out of range or in an unacceptable format. 
c. Eligibility data will be reviewed in real-time, such that the Site Coordinator will review the data in each 
participant’s chart before eligibility decision is made.  This will include verifying that all data has been 
collected and signed off on by the appropriate medical staff. 
d. The study physician or medical personnel will review all data collected during the eligibility intake 
session to verify participant eligibility. 
e. On a bi-weekly basis, the Site Coordinator will review data through a chart review procedure 
supported by the data management system. 
f. The study statistician will review data prior to analysis to ensure integrity and validity. 
 
Content of DSM Report 
The following information will be included in the DSM report:  
 
brief description of the trial 
 
baseline socio-demographic characteristics 
 
retention and disposition of study participants 
 
quality control issues 
 
regulatory issues 
 
side effect data  
 
adverse events 
 
serious adverse events 
 
efficacy (when sample has been collected) 
 
recruitment, randomization, retention, compliance, form completion, gender and minority inclusion, 
intervention effects, and safety. 
This report will be compiled following DSM Board meetings and then updated at the trial’s conclusion. In 
addition, adverse events experienced by participants will be reported together with participants' antiretoviral 
regimen to the DSMB in order for the DSMB to adjudicate safety concerns with respect to overlapping toxicities 
with antiretrovirals and interactions between varenicline and HAART regimen. 
 
DSM Board Plan 

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IRB APPLICATION    page 26 of 37 
A protocol-specific Data Safety Monitoring Board will be used for this trial since this is considered a Phase III 
trial. The operation of this board will adhere to the guidelines for DSMBs outlined by the NIH. The specific 
aspects of the DSMB for this study are as follows: 
a. The DSMB will consist of 3 members: 1) Vincent Lo Re, M.D., an Assistant Professor in the 
Division of Infectious Diseases and Department of Biostatistics and Epidemiology, a Senior 
Scholar in the Center for Clinical Epidemiology and Biostatistics, and an attending physician 
in the Viral Hepatitis Clinic and Infectious Diseases Consultation Service at the Penn 
Presbyterian Medical Center, an affiliate hospital in the University of Pennsylvania Health 
System; 2) Frank Leone, M.D., a pulmonologist at PENN and an expert in tobacco-related 
illness, and 3) Janet Audrain-McGovern, Ph.D., an Associate Professor in the Department of 
Psychiatry at PENN and an expert in nicotine dependence treatment.  
b. The DSMB will meet twice per year in Year 1 and annually in Years 2-5 to review study data 
concerning recruitment, randomization, retention, compliance, form completion, gender and 
minority inclusion, intervention effects, and safety. In addition, the DSMB will: 1) identify 
specific safety concerns for participants and communicate these to the study PI; 2) consider 
the need for additional data concerning participant safety; 3) consider the rationale for the 
continuation of the study; and 4) provide a written report concerning the protocol to the IRB 
and to the study PI. 
c. Each meeting will consist of 3 parts. First, an open session will occur in which Dr. Schnoll 
will review the conduct of the trial (e.g., accrual, protocol compliance, general toxicity). Next, 
to maintain the blind of the study, a closed session involving only the DSMB and Dr. Paul 
Wileyto, the study biostatistician, will be held wherein Dr. Wileyto can present outcome and 
safety results (unblinded) to the DSMB as requested. Lastly, an executive session involving 
only DSMB members will be held to allow the DSMB the opportunity to discuss the conduct 
of 
the 
trial 
and 
outcomes, 
including 
toxicities 
and 
adverse 
events, 
develop 
recommendations, and take votes as needed. 
d. DSMB written recommendations will be provided to Dr. Schnoll and to the IRB. The DSMB 
may summarize adverse event reports for the study PI and the IRB Chair, and the PI must 
implement any DSMB recommendations expeditiously. All DSMB recommendations will also 
be forwarded to the NIDA Program Officer and the FDA (if necessary). 
 
5. Management of Information for Multi-center Research where a Penn Investigator is the Lead 
Investigator of a multi- center study, or Penn is the lead site in a multi-site study.  
This is a single-site study. 
 
 
6.  Risk/Benefit Assessment 
There is minimal risk for serious adverse events. The treatments and procedures used in this study have been 
shown to be relatively safe. Varenicline has also been studied in several clinical trials and shown to be safe 
and efficacious. Nevertheless, there are risks in participating in this trial, which are described above. 
 
However, the risks of participating in this trial are offset by the potential benefits for participants and society. 
Participants who enroll in this trial will benefit from the knowledge that they are contributing in an important way 
to potentially furthering scientific knowledge concerning ways to improve treatment for smokers with HIV/AIDS. 
All smokers will receive behavioral counseling for smoking cessation. Half of the sample will receive 
varenicline. The trial results may support the use of varenicline for the treatment of nicotine dependence 
among those with HIV/AIDS, thereby reducing tobacco-related morbidity and mortality in this population. 
 
SUBJECT COMPENSATION 
Subjects will be compensated for their time up to $160 (Table 3). Subjects will also be reimbursed for 
transportation expenses related to their participation in the study with $20 for each in-person visit. Participants 
will be asked to complete social impact assessments based on enrollment and approval date. Participants 

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IRB APPLICATION    page 27 of 37 
whose Week 3 sessions fall after the approval date for these measures will not complete them. After 50 
participants have completed the questionnaire sequence, the measures will no longer be administered. If a 
participant misses a session, he/she will be eligible to complete the questionnaires and receive compensation 
at the subsequent session. All participants who complete the assessments will receive compensation (Table 
4). 
 
 
 
Table 3. Subject Compensation 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Table 4. Social Impact Assessment Compensation 
 
 
 
 
 
 
 
 
INFORMED CONSENT 
1. Consent Process 
A fully trained study staff member will obtain informed consent using the combined consent and HIPAA form 
approved by the PENN IRB. The process will take place before study data are collected and prior to any 
treatment. The consenting process will occur in person during the Intake Session and will involve a discussion 
of the study requirements and procedures and an opportunity for subjects to ask questions and express 
concerns.  The subjects will receive a copy of the combined consent and HIPAA form for their records.  In 
addition, the subjects will be given the PI and Study Physician’s contact information should they wish to speak 
to either of them during the course of the study regarding their consent or the study procedures.  The consent 
process will take place in English, there will be no waiting period, no coercion to participate, and all subjects 
will be considered competent to provide informed consent (i.e., they will be asked if they understand what they 
are consenting for). 
 
2.  Waiver of Authorization 
No waiver of informed consent is requested. 
 
RESOURCES NECESSARY FOR HUMAN RESEARCH PROTECTION 
Study Session 
Session 
Compensation 
Travel Compensation 
Intake Session (Week -1) 
$15 
$20 
Pre-Quit (Week 0) 
$15 
$20 
Target Quit Day (Week 1) 
$15 
$20 
Week 3 
$20 
$20 
Week 5 
$15 
$20 
Week 7 
$15 
$20 
Week 9 
$15 
$20 
Week 12 
$20 
$20 
Week 18 
$15 
$20 
Week 24 
$15 
$20 
 
Up to $160 
$200 
Total: $360 
Study Session 
Session 
Compensation 
Week 3 
$10 
Week 7 
$10 
Week 12 
$10 
Total: $30 

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Qualifications of Investigators. Brief highlights are presented below for key investigators.  
 
Robert Schnoll, Ph.D. (Principal Investigator): Dr. Schnoll’s research focuses on the evaluation of cessation 
interventions with clinical populations including cancer patients (Schnoll et al., 2005; Martinez et al., 2008), the 
identification of empirical methods to tailor smoking cessation interventions to improve treatment efficacy 
(Patterson, Schnoll et al., 2008; Lerman, Schnoll et al., 2007), and the integration of smoking cessation 
interventions into medical practice (Schnoll et al., 2006a; 2006b; Schnoll & Engstrom, 2004; Schnoll et al., 
2003). Dr. Schnoll’s smoking cessation clinical trials with cancer patients (Schnoll et al., 2005; 2010) 
demonstrates the ability to complete smoking cessation clinical trials with smokers with medical and psychiatric 
comorbidities. Dr. Schnoll has also conducted smoking cessation clinical trials using varenicline (Schnoll et al., 
2011) and serves as PI and site-PI, respectively, for two ongoing varenicline clinical trials (R21 DA026404; 
U01 DA020830). These trials have afforded Dr. Schnoll the opportunity to develop the skills needed to 
coordinate a varenicline randomized clinical trial for nicotine dependence. 
 
Ian Frank, M.D. (Co-Investigator, Study Physician): Dr. Frank, director of the UPENN CFAR Clinical Core, has 
close to 2 decades of experience coordinating HIV/AIDS clinical trials (e.g., Bisson et al., 2008; Reynolds et al., 
2006). 
 
Robert Gross, M.D. (Co-Investigator): Dr. Robert Gross, co-director of the Clinical Core, has spearheaded the 
validation of pharmacy refill data as a measure of HAART adherence (e.g., Grossberg et al., 2004; Gross et 
al., 2006) and he will oversee the assessment and analysis of data regarding HAART adherence in this trial. 
 
David Metzger, Ph.D. (Co-Investigator): Dr. Metzger, director of the Behavioral and Social Sciences Core 
(BSSC), has more than 10 years of experience coordinating behavioral HIV/AIDS prevention and treatment 
research. These efforts have yielded publications on interventions for substance abuse to reduce HIV risk 
(Sullivan, Metzger et al., 2005; Metzger & Navaline, 2003; Metzger et al., 1998), the effects of substance 
abuse on HIV risk (Zhang et al., 2005), and methods to recruit and retain participants in HIV/AIDS trials 
(Kegeles et al., 2006; Halpern et al., 2001). 
 
Caryn Lerman, Ph.D. (Co-Investigator): Dr. Lerman led the first study to assess potential mediators of 
varenicline efficacy, finding that varenicline improves affect, reduces withdrawal, and enhances cognitive 
performance during abstinence, relative to placebo (Patterson et al., 2009; see also Perkins et al., 2010). She 
recently published data demonstrating that varenicline increases working memory-related brain activity and 
cognitive performance (Loughead et al., 2010) and reduces amygdale activity and improves the speed of 
emotional processing (Loughead et al., in press). Affect and cognitive function will be examined as potential 
mediators of treatment effects in the proposed study and Dr. Lerman will assist in addressing this study aim. 
 
 
Research Staff 
The following research staff will be directly involved with the implementation and execution of the 
current study.   
Frank Leone, M.D., Study Physician, Oversee staff training for eligibility screening, adverse event assessment  
      and reporting 
Anita (Annie) Hole, Ph.D., Oversees MINI and Counseling Training/Implementation 
Michael Thase, M.D., Senior Clinical Staff 
Susan Ware, B.S. Database Manager 
Paul Sanborn, M.S.  Samples Manager 
Rebecca Ashare, Ph.D., Cognitive Testing Coordinator 
David Festinger, Ph.D., Research Collaborator 
Karen Leggett Dugosh, Ph.D., Research Collaborator 
Dominique Spence (Vaughn), Research Staff 

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Jessica Weisbrot, M.S.W., Study Coordinator 
Alex Flitter, M.A., Research Staff 
Su Fen Lubitz, B.A., Research Staff 
Joseph Bastian, B.A., Research Staff 
Grace Crawford, B.A., Research Staff 
Andrew Miele, B.A., Research Staff 
Jonnie Handschin, B.A., Research Staff 
Katrina Serrano, B.A., Research Staff 
Nathaniel Stevens, Research Staff 
Morgan Thompson, B.A., Research Staff 
Cheyenne Allenby, B.A., Research Staff 
Victoria McLaughlin, B.A., Research Staff 
Chan To, B.A., Research Staff 
 
 
Training and Quality Assurance 
Given past (Schnoll et al., 2010b) and ongoing smoking cessation trials (DA020830), systems for training and 
QA are established to ensure accurate eligibility screening and recruitment, accurate data collection, entry, and 
management, and optimal delivery of the study protocol. A new Manual of Operations (MOP) will be devised 
for this study, given unique procedures and measures. Dr. Metzger, who coordinates behavioral research 
within the PENN CFAR, will assist with staff training to ensure that unique issues related to the population are 
integrated into the MOP. Training sessions will occur over the first 3 months and annually. Monthly team 
meetings will review progress, assess adherence, and determine the need for protocol changes or additional 
training/QA. A study-specific Data and Safety Monitoring Board (DSMB) will provide oversight. The MOP will 
ensure that the trial is conducted in a uniform manner over time and across staff. The MOP will describe roles 
and responsibilities for personnel and provide a detailed description of procedures for each point of contact 
with participants. For each visit/week, a checklist of events (e.g., measures, counseling) will be created that will 
be completed by study personnel. CRFs will be created for each measure at each week, and every participant 
will have a study binder, with sections for every visit/week. Every visit will be “milestoned” (e.g., attended, 
missed, scheduled) to ensure proper tracking of participants through the trial. A treatment manual for 
counseling is developed and will be provided to the counselors. Drs. Schnoll, Hole, and the project manager or 
coordinator  will train the counselors using mock participants and didactic instruction. Lastly, a manual for data 
collection and entry is developed for the RAs and Dr. Schnoll, Hole and the project manager or coordinator will 
train the RAs and provide supervision. Ms. Ware, who oversees this DMS, has already developed this DMS for 
use in other smoking cessation trials. All training will involve didactic instruction in the MOP and mock sessions 
for all assessments, counseling, and the DMS by Drs. Schnoll, Hole and the project manager or coordinator. 
QA focuses on protocol adherence and data validity. We conduct 100% QA checks on study data. This 
involves comparison of all hard copy CRFs to computer data. In addition, we may audio-tape all counseling 
sessions and assess protocol adherence by selecting a random 15% of sessions for review.  

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References 
 
Ahmad, N. (1996). Maternal-fetal transmission of human immunodeficiency virus. J Biomed Sci, 3, 238-
250. 
Allen, M., & Chuen-Yen, L.  (2008). Social impact of preventive HIV vaccine clinical trial participation: A 
model of prevention, assessment and intervention. Social Science & Medicine, 66(4), 945-951. 
Anthenelli, R.M., Benowitz, N.L., West, R., St Aubin, L., McRae, T., Lawrence, D.,…Evins, A.E. (2016).   
Neuropsychiatric safety and efficacy of varenicline, bupropion, and nicotine patch in smokers with and without 
psychiatric disorders (EAGLES): a double-blind, randomized, placebo-controlled clinical trial. The Lancet, 387, 
2507-2520. 
Asch SM, Kilbourne AM, Gifford AL, Burnam MA, Turner B, Shapiro MF, Bozzette SA; HCSUS Consortium. 
Underdiagnosis of depression in HIV: who are we missing? J Gen Intern Med. 2003 Jun;18(6):450-60. 
Aubin, H. J., Bobak, A., Britton, J. R., Oncken, C., Billing, C. B., Jr., Gong, J., et al. (2008). Varenicline 
versus transdermal nicotine patch for smoking cessation: results from a randomised open-label trial. Thorax, 
63(8), 717-724. 
Beasley, T.M. Seemingly unrelated regression (SUR) models as a solution to path analytic models with 
correlated errors. Multiple Linear Regression Viewpoints, 2008. 34(1): 1-7. 
Benard, A., Tessier, J. F., Rambeloarisoa, J., Bonnet, F., Fossoux, H., Neau, D., et al. (2006). HIV infection 
and tobacco smoking behaviour: prospects for prevention? ANRS CO3 Aquitaine Cohort, 2002. Int J Tuberc 
Lung Dis, 10(4), 378-383. 
Biazzo LL, Froshaug DB, Harwell TS, Beck HN et al. Characteristics and abstinence outcomes among 
tobacco quitline enrollees using varenicline or nicotine replacement therapy. Nicotine Tob Res. 
2010;12(6):567-73.  
Bing EG, Burnam MA, Longshore D, Fleishman JA, Sherbourne CD, London AS, Turner BJ, Eggan F, 
Beckman R, Vitiello B, Morton SC, Orlando M, Bozzette SA, Ortiz-Barron L, Shapiro M. Psychiatric disorders 
and drug use among human immunodeficiency virus-infected adults in the United States. Arch Gen Psychiatry. 
2001 Aug;58(8):721-8. 
Bisson, G. P., Gross, R., Bellamy, S., Chittams, J., et al. (2008). Pharmacy refill adherence compared with 
CD4 count changes for monitoring HIV-infected adults on antiretroviral therapy. PLoS Med, 5(5), e109. 
Bonnet, F., Lewden, C., May, T., Heripret, L., Jougla, E., Bevilacqua, S., et al. (2004). Malignancy-related 
causes of death in human immunodeficiency virus-infected patients in the era of highly active antiretroviral 
therapy. Cancer, 101(2), 317-324. 
Bozkurt, B. (2004). Cardiovascular toxicity with highly active antiretroviral therapy: review of clinical studies. 
Cardiovasc Toxicol, 4(3), 243-260. 
Brown, R., Burgess, E., Sales, S., & Whiteley, J. (1998). Reliability and validity of a smoking timeline 
follow-back interview. Psychol Addict Behav, 12, 101-112. 
Burkhalter, J. E., Springer, C. M., Chhabra, R., Ostroff, J. S., & Rapkin, B. D. (2005). Tobacco use and 
readiness to quit smoking in low-income HIV-infected persons. Nicotine Tob Res, 7(4), 511-522. 
Burns, D. N., Landesman, S., Muenz, L. R., Nugent, R. P., Goedert, J. J., Minkoff, H., et al. (1994). 
Cigarette smoking, premature rupture of membranes, and vertical transmission of HIV-1 among women with 
low CD4+ levels. J Acquir Immune Defic Syndr, 7(7), 718-726. 
Cahill K, Stead L, Lancaster T. A preliminary benefit-risk assessment of varenicline in smoking cessation.  
Drug Saf. 2009;32(2):119-35.  
Cahill K, Stead LF, Lancaster T. Nicotine receptor partial agonists for smoking cessation. Cochrane 
Database Syst Rev. 2011 Feb 16;2:CD006103. 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 31 of 37 
CDC (1998). Risks for HIV infection among persons residing in rural areas and small cities - selected sites, 
southern United States, 1995-1996. MMWR, 47(45), 974-978. 
CDC (2003). Leading causes of death among black Americans, 25-44, 2002. National Vital Statistics 
Reports, Deaths. Public Health Service, Vol. 53, No. 17, p. 5. 
CDC (2005). Summary of Notifiable Diseases - United States, 2003. MMWR, 52(54), 1-85. 
CDC (2007). Cigarette smoking among adults-United States, 2006. MMWR, 56(44), 1157-1161. 
Chesney, M. A., Ickovics, J. R., Chambers, D. B., Gifford, A. L., Neidig, J., Zwickl, B., et al. (2000). Self-
reported adherence to antiretroviral medications among participants in HIV clinical trials: the AACTG 
adherence instruments. Patient Care Committee & Adherence Working Group of the Outcomes Committee of 
the Adult AIDS Clinical Trials Group (AACTG). AIDS Care, 12(3), 255-266.  
Ciesla JA, Roberts JE. Meta-analysis of the relationship between HIV infection and risk for depressive 
disorders. Am J Psychiatry. 2001 May;158(5):725-30. 
Cockcroft DW, Gault MH (1976). "Prediction of creatinine clearance from serum creatinine". Nephron 16 
(1): 31–41. 
Collins, R. L., Kanouse, D. E., Gifford, A. L., Senterfitt, J. W., Schuster, M. A., McCaffrey, D. F., et al. 
(2001). Changes in health-promoting behavior following diagnosis with HIV: prevalence and correlates in a 
national probability sample. Health Psychol, 20(5), 351-360. 
Crothers, K., Griffith, T. A., McGinnis, K. A., Rodriguez-Barradas, M. C., Leaf, D. A., Weissman, S., et al. 
(2005). The impact of cigarette smoking on mortality, quality of life, and comorbid illness among HIV-positive 
veterans. J Gen Intern Med, 20(12), 1142-1145.  
Cruess DG, Evans DL, Repetto MJ, Gettes D, Douglas SD, Petitto JM.  Prevalence, diagnosis, and 
pharmacological treatment of mood disorders in HIV disease. Biol Psychiatry. 2003 Aug 1;54(3):307-16.  
Cui Q, Carruthers S, McIvor A, Smaill F, Thabane L, Smieja M. Effect of smoking on lung function, 
respiratory symptoms and respiratory diseases amongst HIV-positive subjects: a cross-sectional study. AIDS 
Res Ther. 2010 Mar 19;7:6. 
Drach L., Holbert T, Maher J. et al. (2010). Integrating smoking cessation into HIV care. AIDS patient Care 
and STDs. 24, 139. 
Ebbert JO, Croghan IT, Sood A, Schroeder DR, Hays JT, Hurt RD. Varenicline and bupropion sustained-
release combination therapy for smoking cessation. Nicotine Tob Res. 2009 Mar;11(3):234-9. 
Ehlis, A. C., Bahne, C. G., Jacob, C. P., Herrmann, M. J., & Fallgatter, A. J. (2008). Reduced lateral 
prefrontal activation in adult patients with attention-deficit/hyperactivity disorder (ADHD) during a working 
memory task: a functional near-infrared spectroscopy (fNIRS) study. Journal of Psychiatric Research, 42(13), 
1060-1067. 
Evans DE, Drobes DJ. Nicotine self-medication of cognitive-attentional processing. Addict Biol. 
2009;14(1):32-42. 
Feldman, J. G., Minkoff, H., Schneider, M. F., Gange, S. J., Cohen, M., Watts, D. H., et al. (2006). 
Association of cigarette smoking with HIV prognosis among women in the HAART era: a report from the 
women's interagency HIV study. Am J Public Health, 96(6), 1060-1065. 
Fiore, M. C., Jaen, C. R., Baker, T. B., Bailey, W. C., Benowitz, N. L., Curry, S. J., et al. (2008). Treating 
tobacco use and dependence:2008 Update.Clinical Practice Guideline. Rockville, MD: U.S. Department of 
Health and Human Services, Public Health Service, May, 2008 
Gariti P, Lynch K, Alterman A et al. (2009). Comparing smoking treatment programs for lighter smokers 
with and without a history of heavier smoking. J Subs Abuse Treatment, 37, 247-255. 
Gleason, T.C. and Staelin, R. A proposal for handling missing data. Psychometrika, 1975. 40(2): 229-252. 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
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Gonzales, D., Rennard, S. I., Nides, M., Oncken, C., Azoulay, S., Billing, C. B., et al. (2006). Varenicline, 
an alpha4beta2 nicotinic acetylcholine receptor partial agonist, vs sustained-release bupropion and placebo for 
smoking cessation: a randomized controlled trial. JAMA, 296(1), 47-55. 
Grant, B. F., Hasin, D. S., Chou, S. P., Stinson, F. S., & Dawson, D. A. (2004). Nicotine dependence and 
psychiatric disorders in the United States: results from the national epidemiologic survey on alcohol and related 
conditions. Arch Gen Psychiatry, 61(11), 1107-1115. 
Green, A., Ellis, K. A., Ellis, J., Bartholomeusz, C. F., Ilic, S., Croft, R. J., et al. (2005). Muscarinic and 
nicotinic receptor modulation of object and spatial n-back working memory in humans. Pharmacology 
Biochemistry and Behavior, 81(3), 575-584. 
Gritz, E. R., Vidrine, D. J., & Fingeret, M. C. (2007). Smoking cessation a critical component of medical 
management in chronic disease populations. Am J Prev Med, 33(6 Suppl), S414-422. 
Grossberg R, Zhang, Y, Gross R. Time-to-Prescription-Refill Measure Predicted Changes in Viral Load in 
HIV. Journal of Clinical Epidemiology.  Journal of Clinical Epidemiology 2004; 57(10)1107-1110. 
Gross R, Yip B, Lo Re V III, Wood E, Alexander CS, Harrigan PR, Bangsberg DR, Montaner JSG, Hogg 
RS.  A Simple Dynamic Measure of Antiretroviral Adherence Predicted Failure to Maintain HIV Suppression.  
Journal of Infectious Diseases.  2006; 194:1108-1114. 
Gunnell D, Irvine D, Wise L, Davies C, Martin RM. Varenicline and suicidal behaviour: a cohort study based 
on data from the General Practice Research Database. BMJ. 2009;339:b3805. 
Halpern, S. D., Metzger, D. S., Berlin, J. A., & Ubel, P. A. (2001). Who will enroll? Predicting participation in 
a phase II AIDS vaccine trial. J Acquir Immune Defic Syndr, 27(3), 281-288.  
Harris JK. Connecting discovery and delivery: the need for more evidence on effective smoking cessation 
strategies for people living with HIV/AIDS. Am J Public Health. 2010 Jul;100(7):1245-9. Epub 2010 May 13. 
Hays JT, Croghan IT, Schroeder DR, Ebbert JO, Hurt RD. Varenicline for tobacco dependence treatment in 
recovering alcohol-dependent smokers: An open-label pilot study. J Subst Abuse Treat. 2010 [Epub ahead of 
print] 
 Heaton RK, Franklin DR, Ellis RJ, McCutchan JA, Letendre SL, Leblanc S, Corkran SH, Duarte NA, 
Clifford DB, Woods SP, Collier AC, Marra CM, Morgello S, Mindt MR, Taylor MJ, Marcotte TD, Atkinson JH, 
Wolfson T, Gelman BB, McArthur JC, Simpson DM, Abramson I, Gamst A, Fennema-Notestine C, Jernigan 
TL, Wong J, Grant I; CHARTER Group; HNRC Group.  HIV-associated neurocognitive disorders before and 
during the era of combination antiretroviral therapy: differences in rates, nature, and predictors. J Neurovirol. 
2011 Feb;17(1):3-16. Epub 2010 Dec 21. 
Heatherton, T. F., Kozlowski, L. T., Frecker, R. C., & Fagerstrom, K. O. (1991). The Fagerstrom Test for 
Nicotine Dependence: a revision of the Fagerstrom Tolerance Questionnaire. Br J Addict, 86(9), 1119-1127. 
Heishman SJ. Behavioral and cognitive effects of smoking: relationship to nicotine addiction. Nicotine Tob 
Res. 1999;1 Suppl 2:S143-7. 
Holmes, W. C., & Shea, J.A. (1998). A new HIV/AIDS-targeted quality of life (HAT-QoL) instrument: 
development, reliability, and validity. Med Care, 36(2), 138-154. 
Holmes, W. C., & Shea, J.A. (1999). Two approaches to measuring quality of life in the HIV/AIDS 
population: HAT-QoL and MOS-HIV. Qual Life Res, 8(6), 515-527. 
Hughes, J.R. (2007). Effects of abstinence from tobacco: valid symptoms and time course. Nicotine and 
Tobacco Research, 9, 309-313. 
Hughes, J. R., Keely, J. P., Niaura, R. S., Ossip-Klein, D. J., Richmond, R. L., & Swan, G. E. (2003). 
Measures of abstinence in clinical trials: issues and recommendations. Nicotine Tob Res, 5(1), 13-25. 
Humfleet G, Muñoz R, Sees K, Reus V, Hall S. History of alcohol or drug problems, current use of alcohol 
or marijuana, and success in quitting smoking. Addict Behav. 1999 Jan-Feb;24(1):149-54. 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 33 of 37 
Ingersoll, K. S., Cropsey, K. L., & Heckman, C. J. (2007). A test of motivational plus nicotine replacement 
interventions for HIV positive smokers. AIDS Behav. 
Jorenby, D. E., Hays, J. T., Rigotti, N. A., Azoulay, S., Watsky, E. J., Williams, K. E., et al. (2006). Efficacy 
of varenicline, an alpha4beta2 nicotinic acetylcholine receptor partial agonist, vs placebo or sustained-release 
bupropion for smoking cessation: a randomized controlled trial. JAMA, 296(1), 56-63. 
Kasliwal R, Wilton LV, Shakir SA. Safety and drug utilization profile of varenicline as used in general 
practice in England: interim results from a prescription-event monitoring study. Drug Saf. 2009;32(6):499-507. 
Kegeles, S.M., Johnson, M., Strauss, R., Ralston, B., Hays, R.B., Metzger, D.S. et al. (2006). How should 
HIV vaccine efficacy trials be conducted? Diverse US communities speak out. AIDS Educ Prev, 18, 560-572. 
Kuehn BM. FDA warns of adverse events linked to smoking cessation drug and antiepileptics. JAMA. 2008; 
299; 1121-1122. 
Kurtz, M.M., J.D. Ragland, W. Bilker, R.C. Gur and R.E. Gur, Comparison of the continuous performance 
test with and without working memory demands in healthy controls and patients with schizophrenia, Schizophr. 
Res. 48 (2001), pp. 307–316. 
Larsen, D. L., Attkisson, C. C., Hargreaves,W. A., & Nguyen, T. D. (1979). Assessment of client/patient 
satisfaction: development of a general scale. Evaluation and Program Planning, 2, 197-207. 
Lerman, C., Kaufmann, V., Rukstalis, M., Patterson, F., Perkins, K., Audrain-McGovern, J., et al. (2004). 
Individualizing nicotine replacement therapy for the treatment of tobacco dependence: a randomized trial. Ann 
Intern Med, 140(6), 426-433. 
Lerman, C. E., Schnoll, R. A., & Munafo, M. R. (2007). Genetics and smoking cessation improving 
outcomes in smokers at risk. Am J Prev Med, 33(6 Suppl), S398-405. 
Lindl KA, Marks DR, Kolson DL, Jordan-Sciutto KL. HIV-associated neurocognitive disorder: pathogenesis 
and therapeutic opportunities. J Neuroimmune Pharmacol. 2010 Sep;5(3):294-309. Epub 2010 Apr 16. 
Lin, D.Y., Fleming, T.R., and De Gruttola, V. Estimating the proportion of treatment effect explained by a 
surrogate marker. Stat Med, 1997. 16(13): 1515-1527. 
Loughead J, Ray R, Wileyto EP, Ruparel K, Sanborn P, Siegel S, Gur RC, Lerman C. Effects of the α4β2 
Partial Agonist Varenicline on Brain Activity and Working Memory in Abstinent Smokers. Biol Psychiatry. 2010 
Apr 15;67(8):715-21.  
Loughead J, Ray R, Wileyto EP, Ruparel K, O'Donnell GP, Senecal N, Siegel S, Gur RC, Lerman C. Brain 
activity and emotional processing in smokers treated with varenicline. Addict Biol. 2011 Apr 20.  
Loutfy, M. R., & Walmsley, S. L. (2004). Treatment of HIV infection in pregnant women: antiretroviral 
management options. Drugs, 64(5), 471-488.  
MacKinnon, D.P., Fairchild, A.J., and Fritz, M.S. Mediation analysis. Annu Rev Psychol, 2007. 58: 593-614. 
Martinez, E., Tatum, K. L., Weber, D. M., Kuzla, N., Pendley, A., Campbell, K., et al. (2008). Issues related 
to implementing a smoking cessation clinical trial for cancer patients. Cancer Causes Control. 
McClure JB, Swan GE, Catz SL, Jack L, Javitz H, McAfee T, Deprey M, Richards J, Zbikowski SM. 
Smoking outcome by psychiatric history after behavioral and varenicline treatment. J Subst Abuse Treat. 
2010;38(4):394-402. 
Metzger, D. S., Navaline, H., & Woody, G. E. (1998). Drug abuse treatment as AIDS prevention. Public 
Health Rep, 113 Suppl 1, 97-106. 
Metzger, D. S., & Navaline, H. (2003). Human immunodeficiency virus prevention and the potential of drug 
abuse treatment. Clin Infect Dis, 37 Suppl 5, S451-456. 
Miguez-Burbano, M. J., Ashkin, D., Rodriguez, A., Duncan, R., Pitchenik, A., Quintero, N., et al. (2005). 
Increased risk of Pneumocystis carinii and community-acquired pneumonia with tobacco use in HIV disease. 
Int J Infect Dis, 9(4), 208-217. 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 34 of 37 
Mineur YS, Picciotto MR. Nicotine receptors and depression: revisiting and revising the cholinergic 
hypothesis. Trends Pharmacol Sci. 2010 Dec;31(12):580-6. 
Moore, R. D., & Chaisson, R. E. (1999). Natural history of HIV infection in the era of combination 
antiretroviral therapy. AIDS, 13(14), 1933-1942. 
Nahvi S, Cooperman NA. Review: the need for smoking cessation among HIV-positive smokers. AIDS 
Educ Prev. 2009 Jun;21(3 Suppl):14-27. Review. 
Niaura, R., Shadel, W.G., Abrams, D.B., Monti, P.M. et al. (1998). Individual differences in cue reactivity 
among smokers trying to quit: effects of gender and cue type. Addict Behav, 23, 209-224. 
Niaura, R., Shadel, W.G., Morrow, K., Tashima, K., Flanigan, T. et al. (2000). Human immunodeficiency 
virus infection, AIDS, and smoking cessation: the time is now. Clin Infect Dis, 31(3), 808-812. 
Niaura, R., Sayette, M., Shiffman, S., Glover, E. D., Nides, M., Shelanski, M., et al. (2005). Comparative 
efficacy of rapid-release nicotine gum versus nicotine polacrilex gum in relieving smoking cue-provoked 
craving. Addiction, 100(11), 1720-1730. 
Owen, A. M., McMillan, K. M., Laird, A. R., & Bullmore, E. (2005). N-back working memory paradigm: a 
meta analysis of normative functional neuroimaging studies. Human Brain Mapping, 25(1), 46-59. 
Palella, F. J., Jr., Delaney, K. M., Moorman, A. C., Loveless, M. O., Fuhrer, J., Satten, G. A., et al. (1998). 
Declining morbidity and mortality among patients with advanced human immunodeficiency virus infection. HIV 
Outpatient Study Investigators. N Engl J Med, 338(13), 853-860. 
Palella, F. J., Jr., Baker, R. K., Moorman, A. C., Chmiel, J. S., Wood, K. C., Brooks, J. T., et al. (2006). 
Mortality in the highly active antiretroviral therapy era: changing causes of death and disease in the HIV 
outpatient study. J Acquir Immune Defic Syndr, 43(1), 27-34. 
Patterson, F., Schnoll, R. A., Wileyto, E. P., Pinto, A., Epstein, L. H., Shields, P. G., et al. (2008). Toward 
personalized therapy for smoking cessation: a randomized placebo-controlled trial of bupropion. Clin 
Pharmacol Ther, 84(3), 320-325. 
Patterson F, Jepson C, Strasser AA, Loughead J, Perkins KA, Gur RC, Frey JM, Siegel S, Lerman C. 
Varenicline improves mood and cognition during smoking abstinence. Biol Psychiatry. 2009;65(2):144-9. 
Perkins KA, Mercincavage M, Fonte CA, Lerman C. Varenicline's effects on acute smoking behavior and 
reward and their association with subsequent abstinence. Psychopharmacology (Berl). 2010;210(1):45-51. 
Philip NS, Carpenter LL, Tyrka AR, Whiteley LB, Price LH. Varenicline augmentation in depressed 
smokers: an 8-week, open-label study. J Clin Psychiatry. 2009;70(7):1026-31.  
Pines H, Koutsky L, Buskin S. Cigarette smoking and mortality among HIV-infected individuals in Seattle, 
Washington (1996-2008). AIDS Behav. 2011 Jan;15(1):243-51. 
Poling J, Rounsaville B, Gonsai K, Severino K, Sofuoglu M. The safety and efficacy of varenicline in 
cocaine using smokers maintained on methadone: a pilot study. Am J Addict. 2010;19(5):401-8. 
Ragland, J.D., B.I. Turetsky, R.C. Gur, F. Gunning-Dixon, T. Turner, L. Schroeder, R. Chan and R.E. Gur, 
Working memory for complex figures: an fMRI comparison of letter and fractal n-back tasks, Neuropsychology 
16 (2002), pp. 370–379. 
Rigotti, N. A., Thorndike, A. N., Regan, S., McKool, K., Pasternak, R. C., Chang, Y., et al. (2006). 
Bupropion for smokers hospitalized with acute cardiovascular disease. Am J Med, 119(12), 1080-1087.  
Rigotti NA, Pipe AL, Benowitz NL, Arteaga C, Garza D, Tonstad S. Efficacy and safety of varenicline for 
smoking cessation in patients with cardiovascular disease: a randomized trial. Circulation. 2010;121(2):221-9. 
Robertson KR, Smurzynski M, Parsons TD, Wu K, Bosch RJ, Wu J, McArthur JC, Collier AC, Evans SR, 
Ellis RJ. The prevalence and incidence of neurocognitive impairment in the HAART era. AIDS. 2007 Sep 
12;21(14):1915-21. 
Rollema H, Hajós M, Seymour PA, Kozak R, Majchrzak MJ, Guanowsky V, Horner WE, Chapin DS, 
Hoffmann WE, Johnson DE, McLean S, Freeman J, Williams KE. Preclinical pharmacology of the alpha4beta2 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 35 of 37 
nAChR partial agonist varenicline related to effects on reward, mood and cognition. Biochem Pharmacol. 
2009;78(7):813-24. 
Rukstalis M, Jepson C, Patterson F, Lerman C. Increases in hyperactive-impulsive symptoms predict 
relapse among smokers in nicotine replacement therapy. J Subst Abuse Treat. 2005;28(4):297-304. 
Sabourin, S., & Gendreau, P. (1988). Assessing satisfaction with mental health treatment among French 
Canadians. Applied Psychology, 37, 327-335. 
Savard, J, Laberge B, Gauthier JG et al. (1998). Evaluating anxiety and depression in HIV-infected 
patients. J Pers Assess 71, 349-367. 
Schnoll RA, Martinez E, Tatum KL, Weber DM, Kuzla N, Glass M, Ridge JA, Langer C, Miyamoto C, Leone 
F. A bupropion smoking cessation clinical trial for cancer patients. Cancer Causes and Control. 2010a; 21, 
811-820. 
Schnoll RA, Patterson F, Wileyto P, Heitjan D, Shields A, Asch D, Lerman C. Efficacy of extended duration 
transdermal nicotine therapy: A randomized trial. Ann Intern Med, 2010b;152:144-151.  
Schnoll, R.A., Cappella, J., Lerman, C., Pinto, A., Patterson, F., Wileyto, P., Bigman C., & Leone, F. 
(2011). A novel recruitment message to increase enrollment into a smoking cessation treatment program: 
Preliminary results from a randomized trial. Health Communication, 10, 1-8. 
Schnoll, R. A., James, C., Malstrom, M., Rothman, R. L., Wang, H., Babb, J., et al. (2003). Longitudinal 
predictors of continued tobacco use among patients diagnosed with cancer. Ann Behav Med, 25(3), 214-222. 
Schnoll, R. A., Zhang, B., Rue, M., Krook, J. E., Spears, W. T., Marcus, A. C., et al. (2003). Brief physician-
initiated quit-smoking strategies for clinical oncology settings: a trial coordinated by the Eastern Cooperative 
Oncology Group. J Clin Oncol, 21(2), 355-365. 
Schnoll, R. A., & Engstrom, P. F. (2004). Tobacco control in the physician's office: a matter of adequate 
training and resources. J Natl Cancer Inst, 96(8), 573-575. 
Schnoll, R. A., Rothman, R. L., Wielt, D. B., Lerman, C., Pedri, H., Wang, H., et al. (2005). A randomized 
pilot study of cognitive-behavioral therapy versus basic health education for smoking cessation among cancer 
patients. Ann Behav Med, 30(1), 1-11. 
Schnoll, R. A., & Lerman, C. (2006). Current and emerging pharmacotherapies for treating tobacco 
dependence. Expert Opin Emerg Drugs, 11(3), 429-444. 
Schnoll, R. A., Rukstalis, M., Wileyto, E. P., & Shields, A. E. (2006). Smoking cessation treatment by 
primary care physicians: An update and call for training. Am J Prev Med, 31(3), 233-239. 
Schnoll, R. A., Engstrom, P. F., Subramanian, S., Demidov, L., & Wielt, D. B. (2006). Smoking cessation 
counseling by Russian oncologists: opportunities for intervention in the Russian Federation. Int J Behav Med, 
13(1), 8-15. 
Schnoll, R. A., Wileyto, E. P., Pinto, A., Leone, F., Gariti, P., Siegel, S., et al. (2008). A placebo-controlled 
trial of modafinil for nicotine dependence. Drug Alcohol Depend, 98(1-2), 86-93. 
Sheehan, D. V., Lecrubier, Y., Sheehan, K. H., Amorim, P., Janavs, J., Weiller, E., et al. (1998). The Mini-
International Neuropsychiatric Interview (M.I.N.I.): the development and validation of a structured diagnostic 
psychiatric interview for DSM-IV and ICD-10. J Clin Psychiatry, 59 Suppl 20, 22-33. 
Simioni S, Cavassini M, Annoni JM, Rimbault Abraham A, Bourquin I, Schiffer V, Calmy A, Chave JP, 
Giacobini E, Hirschel B, Du Pasquier RA. Cognitive dysfunction in HIV patients despite long-standing 
suppression of viremia. AIDS. 2010 Jun 1;24(9):1243-50. 
Singh, B., Balwally, A. N., Shaha, A. R., et al. (1996). Upper aerodigestive tract squamous cell carcinoma. 
The human immunodeficiency virus connection. Arch Otolaryngol Head Neck Surg, 122(6), 639-643. 
Singh S, Loke YK, Spangler JG, Furberg C. (2011). Risk of serious adverse cardiovascular events 
associated with varenicline: a systematic review and meta-analysis. CMAJ, Epub ahead of print. 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 36 of 37 
Smith RC, Lindenmayer JP, Davis JM, Cornwell J, Noth K, Gupta S, Sershen H, Lajtha A. Cognitive and 
antismoking effects of varenicline in patients with schizophrenia or schizoaffective disorder. Schizophr Res. 
2009;110(1-3):149-55. 
Sprauve, M. E. (1996). Substance abuse and HIV pregnancy. Clin Obstet Gynecol, 39(2), 316-332. 
Sofuoglu M, Herman AI, Mooney M, Waters AJ. Varenicline attenuates some of the subjective and 
physiological effects of intravenous nicotine in humans. Psychopharmacology (Berl). 2009;207(1):153-62. 
SRNT Subcommittee on Biochemical Verification (2002). Biochemical verification of tobacco use and 
cessation. Nicotine Tob Res, 4(2), 149-159. 
Stapleton JA, Watson L, Spirling LI, Smith R, Milbrandt A, Ratcliffe M, Sutherland G. Varenicline in the 
routine treatment of tobacco dependence: a pre-post comparison with nicotine replacement therapy and an 
evaluation in those with mental illness. Addiction. 2008;103(1):146-54. 
Steinberg MB, Bover MT, Richardson DL, Schmelzer AC, Williams JM, Foulds J. Abstinence and 
psychological distress in co-morbid smokers using various pharmacotherapies. Drug Alcohol Depend. 2010. 
[Epub ahead of print] 
Sullivan, L. E., Metzger, D. S., Fudala, P. J., & Fiellin, D. A. (2005). Decreasing international HIV 
transmission: the role of expanding access to opioid agonist therapies for injection drug users. Addiction, 
100(2), 150-158. 
Tashkin DP, Rennard S, Hays JT, Ma W, Lawrence D, Lee TC. Effects of Varenicline on Smoking 
Cessation in Mild-to-Moderate COPD: A Randomized Controlled Trial. Chest. 2010. [Epub ahead of print]  
Tirelli, U., Spina, M., Gaidano, G., Vaccher, E., et al. (2000). Epidemiological, biological and clinical 
features of HIV-related lymphomas in the era of highly active antiretroviral therapy. AIDS, 14(12), 1675-1688. 
Turner, B. J., Hauck, W. W., Fanning, T. R., & Markson, L. E. (1997). Cigarette smoking and maternal-child 
HIV transmission. J Acquir Immune Defic Syndr Hum Retrovirol, 14(4), 327-337.  
Turner, J., Page-Shafer, K., Chin, D. P., Osmond, D., Mossar, M., Markstein, L., et al. (2001). Adverse 
impact of cigarette smoking on dimensions of health-related quality of life in persons with HIV infection. AIDS 
Patient Care STDS, 15(12), 615-624. 
Vidrine, D. J., Arduino, R. C., Lazev, A. B., & Gritz, E. R. (2006). A randomized trial of a proactive cellular 
telephone intervention for smokers living with HIV/AIDS. AIDS, 20(2), 253-260. 
Vidrine, D. J., Arduino, R. C., & Gritz, E. R. (2007). The effects of smoking abstinence on symptom burden 
and quality of life among persons living with HIV/AIDS. AIDS Patient Care STDS, 21(9), 659-666.  
Vittinghoff, E., Sen, S., and McCulloch, C.E. Sample size calculations for evaluating mediation. Stat Med, 
2009. 28(4): 541-557. 
Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive 
and negative affect: the PANAS scales. J Pers Soc Psychol, 54(6), 1063-1070. 
Webb, M.S., Vanable, P.A., Carey, M.P., et al. (2007). Cigarette smoking among HIV+ men and women: 
examining health, substance use, and psychosocial correlates across the smoking spectrum. J Behav Med, 30, 
371-383. 
Williams KE, Reeves KR, Billing CB Jr, Pennington AM, Gong J. A double-blind study evaluating the long-
term safety of varenicline for smoking cessation. Curr Med Res Opin. 2007;23(4):793-801. 
Zellner, A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation 
bias. J Am Stat Assoc, 1962. 57(348-68). 
Zhang, T., Guo, C. J., Douglas, S. D., Metzger, D. S., O'Brien, C. P., et al. (2005). Alcohol suppresses IL-2-
induced CC chemokine production by natural killer cells. Alcohol Clin Exp Res, 29(9), 1559-1567. 
Zigmond AS, Snaith RP. The Hospital Anxiety and Depression Scale. Acta Psychiatr Scand 1983;67:361-
370 

University of Pennsylvania, Office of Regulatory Affairs 
3624 Market Street, Suite 301 S, Philadelphia, PA 19104-6006 
 
Version 19: February 13, 2018 
Template Version: 7 May 2008 
 
 
IRB APPLICATION    page 37 of 37 
Zvolensky MJ, Stewart SH, Vujanovic AA, Gavric D, Steeves D. Anxiety sensitivity and anxiety and 
depressive symptoms in the prediction of early smoking lapse and relapse during smoking cessation treatment. 
Nicotine Tob Res. 2009;11(3):323-31.