bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of National Healthcare Safety Network Clostridioides difficile Infection Standardized Infection Ratio by Test Type
Authors: Li Qunna , Benin Andrea , Guh Alice , Dudeck Margaret , Allen-Bridson Katherine , Leaptrot Denise , McDonald Lawrence , Pollock Daniel , Edwards Jonathan 
Published: November 2020

Background: The National Healthcare Safety Network (NHSN) has used positive laboratory tests for surveillance of Clostridioides difficile infection (CDI) LabID events since 2009. Typically, CDIs are detected using enzyme immunoassays (EIAs), nucleic acid amplification tests (NAATs), or various test combinations. The NHSN uses a risk-adjusted, standardized infection ratio (SIR) to assess healthcare facility-onset (HO) CDI. Despite including test type in the risk adjustment, some hospital personnel and other stakeholders are concerned that NAAT use is associated with higher SIRs than EIA use. To investigate this issue, we analyzed NHSN data from acute-care hospitals for July 1, 2017, through June 30, 2018. Methods: Calendar quarters where CDI test type was reported as NAAT (includes NAAT, glutamate dehydrogenase (GDH)+NAAT and GDH+EIA followed by NAAT if discrepant) or EIA (includes EIA and GDH+EIA) were selected. HO-CDI SIRs were calculated for facility-wide inpatient locations. We conducted the following 2 analyses: (1) Among hospitals that did not switch their test type, we compared the distribution of HO incident rates and SIRs by those reporting NAAT versus EIA. (2) Among hospitals that switched their test type, we selected quarters with a stable switch pattern of 2 consecutive quarters of each of EIA and NAAT (categorized as EIA-to-NAAT or NAAT-to-EIA). Pooled semiannual SIRs for EIA and NAAT were calculated, and a paired t test was used to evaluate the difference in SIRs by switch pattern. Results: Most hospitals did not switch test types (3,242, 89%), and 2,872 (89%) reported sufficient data to calculate an SIR, with 2,444 (85%) using NAAT. The crude pooled HO CDI incidence rates for hospitals using EIAs clustered at the lower end of the histogram versus rates for NAATs (Fig. 1). The SIR distributions, both NAATs and EIAs, overlapped substantially and covered a similar range of SIR values (Fig. 1). Among hospitals with a switch pattern, hospitals were equally likely to have an increase or decrease in their SIRs (Fig. 2). The mean SIR difference for the 42 hospitals switching from EIA to NAAT was 0.048 (95% CI, −0.189 to 0.284; P = .688). The mean SIR difference for the 26 hospitals switching from NAAT to EIA was 0.162 (95% CI, −0.048 to 0.371; P = .124). Conclusions: The pattern of SIR distribution for both NAAT and EIA substantiate the soundness of the NHSN’s risk adjustment for CDI test types. Switching test type did not produce a consistent directional pattern in SIR that was statistically significant.Funding: NoneDisclosures: None
22 -Year Results of an Intensive Care Unit Infection Control Program in Ribeirao Preto, Brazil
Authors: Fonseca Silvia , Freitas Maria , Lucca Ivana , Ferez Marcus , Lima Luciana , Oliveira Itana 
Published: November 2020

Background: Healthcare-associated infection (HAI) control programs have improved patient care all over the world. Our program was implemented in 1997 in a general intensive care unit (ICU) based upon surveillance of HAI with regular infection rates feedback to the ICU team and implementation of best practices such as hand hygiene (HH) and oral care for ventilated patients, optimal care, and early removal of invasive devices. Objective: To report our decreasing HAI rates in the past 22 years. Methods: Hospital Sao Francisco 20-bed ICU admits 120–140 surgical and clinical patients monthly, with 90% occupancy. The HAI infection control team implemented HAI surveillance and developed several protocols for HAI prevention. In the past 5 years, ICU personnel initiated the collection of several indicators using random direct observations of HH compliance, central venous catheter correct care, and appropriated oral care, among others. HAI definitions followed Brazilian Health Ministry HAI definitions and were expressed as infections per 1,000 patient days (total HAI rate) and device-related infections per 1,000 device days. Catheter-associated urinary tract infection (CAUTI), central-line–associated blood stream infection (CLABSI) and ventilator-associated pneumonia (VAP) rates are reported here. The study period spanned January 1997 to August 2019. Measurement of antibiotic utilization (ie, meropenem, vancomycin, and piperacillin-tazobactam) was calculated by dividing the of antibiotic consumed vials by the daily defined dose and patient days. Results: The total HAI, CAUTI, CLABSI, and VAP rates dropped 70%, 85%, 84%, and 87%, respectively, from 1997 to 2019 (Table 1). From 2009 to 2019, we detected decreases in hospital use of meropenem from 52 to 38, in vancomycin from 50 to 40, and in piperacillin-tazobactam from 144 to 88. Conclusions: HAI control programs can be effective in ICUs, with impressive results, but it requires time and considerable effort. Data on compliance with basic infection control measures should accompany HAI data and should be shared with the ICU team because ICU team participation is essential to keeping the program alive. Broad-spectrum antibiotics use also decreased, with potential benefits to the hospital flora.Funding: NoneDisclosures: None
A National Aged Care Infection and Antimicrobial Use Survey: A Three-Year Report
Authors: Bennett Noleen , Buising Kirsty , Ingram Robyn 
Published: November 2020

Background: Australia has ~2,700 aged-care homes and 180 multipurpose services. The annual Aged Care National Antimicrobial Prescribing Survey (AC NAPS), first pilot tested in 2015, is a surveillance tool that can be used in these facilities to monitor infections and antimicrobial use. It assists in identifying priorities for local and national infection control and antimicrobial stewardship interventions. Methods: Nurses or pharmacists collect point prevalence data using standardized data collection forms: (1) A facility form, completed by each participating facility, includes resident-level data fields (eg, number of residents present on the survey day). (2) An infection form is completed for residents with signs and/or symptoms of infection. (3) An antimicrobial form is completed for residents who are prescribed an antimicrobial. Results: Regarding prevalence,for those 31 facilities that participated annually, there was no significant change in either prevalence rate (Table 1). Regarding priority areas for improvement (2018 data only), 64.6% of prescriptions were for residents who did not have signs and/or symptoms of a suspected infection in the week prior to the antimicrobial start date. The most common clinical indications for prescriptions were skin soft-tissue and mucosal infection (18.3%), cystitis (16.0%) and pneumonia (9.4%). Cefalexin (20.3%), clotrimazole (19.0%), and chloramphenicol (7.0%) were the most commonly prescribed antimicrobials. Review or stop dates were not documented for 58.9% of prescriptions. Only 39.2% of antimicrobials were prescribed in the 7 days prior to the survey day; 28.3% were prescribed >6 months prior. Furthermore, 36.3% of all prescriptions were for topical application. In addition, 19.0% of antimicrobials were prescribed for PRN (as needed) administration; most (94.4%) of these were for topical antimicrobials, most commonly clotrimazole (65.4%). Conclusions: The AC NAPS has identified infections and consistent patterns of antimicrobial use that may adversely affect the safety of care for Australian aged-care residents. Interventions are now being developed, implemented, and evaluated to address identified ‘priority areas for improvement.’Funding: NoneDisclosures: None
A National Intervention to Reduce Undesirable Urinary Tract Events in Internal Medicine Wards
Authors: Chen Dafna , Temkin Elizabeth , Solter Ester , Nutman Amir , Carmeli Yehuda , Schwaber Mitchell , Ben-David Debby 
Published: November 2020

Background: Catheter-associated urinary tract infection (CAUTI) is considered a preventable healthcare-associated infection. Many local and national interventions using multimodal prevention measures have targeted CAUTI incidence as the primary outcome. Other undesirable events related to urinary catheters and infections such as overuse of urine culturing and antimicrobial prescribing for asymptomatic bacteriuria, are not captured by CAUTI surveillance, and may not be the targets of such interventions. The aim of this study was to assess the impact of expanded national surveillance targeting various aspects of urinary tract infections, culturing and treatment practices, and catheter use in internal medicine wards. Methods: The Israeli National Center for Infection Control (NCIC) issued CAUTI prevention guidelines and initiated in 2016 a urinary tract event surveillance system that targets the incidence of CAUTI, urinary catheter utilization ratio, and the proportion of urine cultures sent and patients treated in the absence of symptoms. The surveillance is conducted for 1 month 3 times per year. Hospitals are required to report all positive urine cultures (>100,000 CFU) collected in internal medicine wards, along with the following data: admission date, symptoms of infection, dates of urinary catheter use, and antibiotic treatment. These data enable the NCIC to validate hospital classifications of each event. In addition, during each surveillance month, hospitals conduct point-prevalence surveys of compliance with CAUTI prevention measures. An electronic data collection form with built-in algorithms supports the local teams during the surveillance process. Results: Between 2016 and 2019, a total of 3,028 positive urine cultures not present on admission were reported by internal medicine wards in 30 hospitals. A significant decrease was observed in the incidence of CAUTI (from 4.7 to 2.9; P < .001) and in the proportion of asymptomatic bacteriuria treated with antibiotics (from 31% to 20%; P = .02) (Table 1). The catheter utilization ratio decreased from 0.25 to 0.23 (P < .001). The rate of cultures sent from asymptomatic patients decreased from 1.5 to 1.1 (P < .01). Point-prevalence surveys in internal medicine wards detected a significant increase in the use of closed urinary drainage systems (from 79% to 97% in 2018, P < .001) and documentation of a daily nurse assessment of the need for a catheter (from 74% to 81%, P < .001). Conclusions: National surveillance of undesirable urinary tract events resulted in a significant reduction in CAUTI, antibiotic treatment for ASB, and the rate of cultures sent from asymptomatic patients. A small decrease was observed in catheter utilization ratio. CAUTI surveillance programs should include other undesirable urinary tract events.Funding: NoneDisclosures: None
A Nosocomial Cluster of Roseomonas mucosa Bacteremia Possibly Linked to Contaminated Hospital Environment
Authors: Okamoto Koh , Ayibieke Alafate , Saito Ryoichi , Magara Yuki , Ogura Kenichi , Ueda Reiko , Ogawa Hina , Hatakeyama Shuji 
Published: November 2020

Background: The genus Roseomonas, containing pink-pigmented glucose nonfermentative bacteria, has been associated with various primary and nosocomial human infections; however, to our knowledge, its nosocomial transmission has never been reported in the literature. Here, we report a nosocomial cluster of Roseomonas mucosa bacteremia. Methods: Two cases of R. mucosa bacteremia in 2018 are described. Clinical and epidemiological investigations were undertaken. Environmental surfaces prone to water contamination in the patient wards were sampled and cultured. The sampled surfaces included sinks, faucets, toilets, sewage, showerheads, refrigerators, exhaust vents, and washing machines. The 2 clinical isolates and all environmental isolates that showed growth of pink colonies were identified using matrix-assisted laser desorption/ionization time of flight mass spectrometry and 16S rRNA gene sequencing. Pulse-field gel electrophoresis (PFGE) was performed and fingerprinting software was used to analyze the DNA restriction patterns and determine their similarity. Results: Two patients who developed R. mucosa bacteremia had received care from the same treatment team. The patients were on different wards but had overlapping hospital stays. In addition to the treatment team, no other shared exposure was identified. Moreover, 126 environmental surfaces were sampled, of which 7 samples grew pink colonies. The 9 isolates from the patients and the environmental samples were examined using 16S rRNA gene sequencing. Overall, 7 isolates, including isolates from both patients, were identified as R. mucosa, and the other 2 isolates were identified as Roseomonas gilardii subsp. rosea (Fig. 1). With 80% similarity as a cutoff, PFGE analysis revealed that the R. mucosa isolates from 2 patients’ blood cultures and 3 environmental isolates (a washing machine in the ward, a sink in the shared washroom, and a sink in the patient room) belonged to the same clone (Fig. 2). Conclusions: The hospital water environment was contaminated with R. mucosa, and the same clone caused bacteremia in 2 separate patients, suggesting nosocomial transmission of R. mucosa possibly linked to contaminated water, environment, and/or patient care.Funding: NoneDisclosures: None
A Pilot Study of Valley Fever Tweets
Authors: Li Nana , Leroy Gondy , Donovan Fariba , Galgiani John , Ellingson Katherine 
Published: November 2020

Background: Twitter is used by officials to distribute public health messages and by the public to post information about ongoing afflictions. Because tweets originate from geographically and socially diverse sources, scholars have used this social media data to analyze the spread of diseases like flu [Alessio Signorini 2011], asthma [Philip Harber 2019] and mental health disorders [Chandler McClellan, 2017]. To our knowledge, no Twitter analysis has been performed for Valley fever. Valley fever is a fungal infection caused by the Coccidioides organism, mostly found in Arizona and California. Objective: We analyzed tweets concerning Valley fever to evaluate content, location, and timing. Methods: We collected tweets using the Twitter search application programming interface using the terms “Valley fever,” “valleyfever,” “cocci” or “‘Valleyfever” from August 6 to 16, 2019, and again from October 20 to 29, 2019. In total, 2,117 Tweets were retrieved. Tweets not focused on Valley fever were filtered out, including a tweet about “Rift valley fever” and tweets where “valley” and “fever” were separate and not one phrase. We excluded tweets not written in English. In total, 1,533 tweets remained; we grouped them into 3 categories: original tweets, hereafter labeled “normal” (N = 497), retweets (N = 811), and replies (N = 225). We converted all terms to lowercase, removed white space and punctuation, and tokenized the tweets. Informal messaging conventions (eg, hashtag, @user, RT, links) and stop words were removed, and terms were lemmatized. Finally, we analyzed the frequency of tweets by season, state, and co-occurring terms. Results: Tweet frequency was 228.5 per week in summer and 113.4 per week in the fall. Users tweeted from 40 different states; the most common were California (N = 401; 10.1 per 100,00 population) and Arizona (N = 216, 30.1 per 100,000 population), New York (N = 49), Florida (N = 21), and Washington, DC (N = 14). Term frequency analysis showed that for normal tweets, the 5 most frequent terms were “awareness,” “Arizona,” “disease,” “California,” and “people.” For retweets, the most common terms were “Gunner” (a dog name), “vet,” “prayer,” “cough,” and “family.” For replies, they were “dog,” “lung,” “vet,” “day,” and “result.” Several symptoms were mentioned: “cough” (normal: 8, retweets: 104, and replies: 7), “sick” (normal: 21, retweets: 42, replies: 7), “rash” (normal: 2, retweets: 6, replies: 1), and “headache” (normal: 1, retweets: 3, replies: 0). Conclusions: Valley fever tweets are potentially sufficient to track disease intensity, especially in Arizona and California. Data collection over longer intervals is needed to understand the utility of Twitter in this context.Disclosures: NoneFunding: None
A Qualitative Study of Antibiotic Stewardship Implementation at Arizona Skilled Nursing Facilities
Authors: LeGros Theresa , Kelley Connor , Romine James , Ellingson Katherine 
Published: November 2020

Background: The CDC Core Elements of Antibiotic Stewardship (AS) include 7 evidence-based best practices adapted for a variety of healthcare settings, including nursing homes. We aimed to identify barriers and facilitators related to AS implementation in skilled nursing facilities (SNFs) within 18 months of the CMS mandate for AS implementation in SNFs, and to examine their relevance to the CDC’s Core Elements for Nursing Homes. Methods: We conducted 56 semistructured interviews with administrators, clinicians, and nonclinical staff at 10 SNFs in urban, suburban, rural, and border regions of Arizona. All interviews were recorded, transcribed, and imported into NVivo v12.0 software for constant comparative analysis by 3 researchers using a priori and emergent codes. After iterative coding, we confirmed high interrater reliability (κ = 0.8), finalized the code book, and used matrix coding queries to examine relationships and generate themes. Results: We identified 7 themes as “influencers” that were less (barrier) or more (facilitator) supportive of AS in SNFs. Intra- and interfacility communication were the most frequently described: respondents described stronger communication within the SNF and between the SNF and hospitals, labs, and pharmacies as critical to robust AS implementation. Other influencers included AS education, antibiotic tracking systems, SNF prescribing norms, human resources, and diagnostic resources. The Core Elements were reflected in all influencer themes except interfacility communication between SNFs and hospitals. Additionally, themes pertaining to systems emerged as critical to successful AS implementation, including the need to address: the interactions of multiple roles across the traditional SNF hierarchy, stewardship barriers from the lens of patient-level concerns (as opposed to population-level concerns), the distinction between antibiotic prescribing gatekeepers and stewardship gatekeepers, and care transition policies and practices. The Core Elements target many aspects of these systems themes—for example, they recognize the importance of creating a culture of stewardship. However, they do not address care transition policies or procedures beyond recommending that transfer-initiated antibiotics be tracked and verified. Conclusions: Because the interactions of various agents within and beyond the SNF can facilitate or inhibit stewardship in complex ways, our findings suggest the use of a systems approach to AS implementation that prioritizes communication within the SNF hierarchy, and between SNFs and hospitals, diagnostic facilities, and pharmacies. When followed, the CDC’s Core Elements can provide crucial guidance. However, SNFs need support to overcome the challenges of incorporating these elements into policy and practice. Additionally, more work is needed to understand and enhance stewardship-related care transition, which remains under-addressed by the CDC.Disclosures: NoneFunding: None
A 6-Year Review of Carbapenemase-Producing Organisms in Alberta, Canada
Authors: Shen Ye , Ellison Jennifer , Chandran Uma , Fathima Sumana , Kanji Jamil , Lee Bonita , Smith Stephanie , Manca Sharla , Lachance Lisa , Chow Blanda , Bush Kathryn 
Published: November 2020

Background: This review describes the epidemiology of carbapenemase-producing organisms (CPO) in both the community and hospitalized populations in the province of Alberta. Methods: Newly identified CPO-positive individuals from April 1, 2013, to March 31, 2018, were retrospectively reviewed from 3 data sources, which shared a common provincial CPO case definition: (1) positive CPO results from the Provincial Laboratory for Public Health, which provides all referral and confirmatory CPO testing, (2) CPO cases reported to Alberta Health, and (3) CPO surveillance from Alberta Health Services Infection Prevention and Control (IPC). The 3 data sources were collated, and initial CPO cases were classified according to their likely location of acquisition: hospital-acquired, hospital-identified, on admission, and community-identified. Risk factors and adverse outcomes were obtained from linkage to administrative data. Results: In total, 171 unique individuals were newly identified with a first-time CPO case. Also, 15% (25 of 171) were hospital-acquired (HA), 21% (36 of 171) were hospital-identified (HI), 33% (57 of 171) were on admission, and 31% (53 of 171) were community identified. Overall, 9% (5 of 171) resided in long-term care facilities. Of all patients in acute-care facilities, 30% (35 of 118) had infections and 70% were colonized. Overall, 38% (65 of 171) had an acute-care admission in the 1 year prior to CPO identification; 59% (63 of 106) of those who did not have a previous admission had received healthcare outside Alberta. A large proportion of on-admission cases (81%, 46 of 57) and community-identified (66%, 33 of 53) cases did not have any acute-care admissions in Alberta in the previous year. Overall, 10% (14 of 171) had ICU admissions in Alberta within 30 days of CPO identification, and 5% (8 of 171) died within 30 days. The most common carbapenemase gene identified was NDM-1 (53%, 90 of 171). Conclusions: These findings highlight the robust nature of Alberta’s provincial CPO surveillance network. We reviewed 3 different databases (laboratory, health ministry, IPC) to obtain comprehensive data to better understand the epidemiology of CPO in both the community and hospital settings. More than half of the individuals with CPO were initially identified in the community or on admission. Most had received healthcare outside Alberta, and no acute-care admissions occurred in Alberta in the previous year. It is important to be aware of the growing reservoir of CPO outside the hospital setting because it could impact future screening and management practices.Funding: NoneDisclosures: None