bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of Colonized Patients During an Outbreak of Candida auris Using a Regional Health Information Exchange
Authors: Brooks Richard , Vaeth Elisabeth , Saunders Heather , Blood Tim , Grace Brittany , Blythe David , Klein Liore , Reuben Jacqueline , Trappler Regan , Iyengar Preetha , Blake Emily , Lineberger Sarah , Abdelfattah Rehab , Tully Kathleen , Forsberg Kaitlin , Walters Maroya , Vallabhaneni Snigdha 
Published: November 2020

Background: In June 2019, the Maryland Department of Health (MDH) was notified of a hospitalized patient with Candida auris bloodstream infection. The MDH initiated a contact investigation to identify additional patients with C. auris colonization. Many of the contacts had been discharged home from the hospital and were therefore not available for screening. Healthcare facilities in Maryland, Virginia, and Washington, DC, submit patient data to a regional health information exchange (HIE) called the Chesapeake Regional Information System for our Patients (CRISP). CRISP includes a notification system that alerts providers when flagged patients have healthcare encounters. We aimed to use this system to identify discharged C. auris contacts on their next inpatient encounter to rapidly screen them and to detect new cases. Methods:C. auris contacts were defined as patients located on an inpatient unit on the same day, receiving wound care from the same team, or having a procedure in the same operating room on the same day as the index patient or any patients subsequently identified as having C. auris infection or colonization detected either during the normal course of clinical care or through screening. Contacts who remained hospitalized were screened during inpatient point prevalence surveys (PPSs). Contacts discharged to postacute-care facilities were screened by facility staff. Contacts who had been discharged home were flagged in CRISP, and MDH staff received CRISP encounter alerts when these patients were readmitted. MDH staff then contacted the admitting facilities to recommend screening for C. auris. Axilla and groin swabs were collected and tested by rt-PCR at the Mid-Atlantic Regional Antibiotic Resistance Laboratory Network laboratory. Results: As of October 8, 2019, 4,017 contacts were identified. Among these, 936 (23%) contacts at 56 healthcare facilities (33 acute-care hospitals and 23 postacute-care facilities) were screened for C. auris, and 10 patients with C. auris colonization were identified (1.1% of contacts who underwent C. auris screening). Of these, 6 (60%) were identified through CRISP notification and 4 (40%) were identified by PPSs conducted in acute-care hospitals. Conclusions: In this ongoing C. auris outbreak, a large proportion of colonized patients was identified using an electronic encounter notification system within a regional HIE. This approach was effective for identifying opportunities to screen contacts at their next healthcare encounter and can augment other means of case detection, like PPSs. HIEs should incorporate mechanisms to facilitate contact tracing for public health investigations.Funding: NoneDisclosures: None
Impact of NHSN-CDC Mucosal Barrier Injury Surveillance on Central-Line–Associated Bloodstream Infection Rates in HSCT
Authors: Fagnani Renata , Cardoso Luis Gustavo Oliveira , Höfling Christian Cruz , Mendes Elisa Teixeira , Trabasso nio , Moretti Maria Luíza 
Published: November 2020

Background: Bloodstream infection (BSI) is the most challenging conditions in patients who undergo hematopoietic stem cell transplantation (HSCT). These infections may be related to health care in cases of central-line–associated bloodstream infection (CLABSI) or to translocation secondary to mucosal barrier injury (MBI). In 2013, MBI surveillance was incorporated into the CDC NHSN. The aim was to increase the CLABSI diagnostic accuracy by proposing more effective preventive care measures. The objective of this study was to evaluate impact of the MBI surveillance on CLABSI incidence density in a Brazilian university hospital. Methods: The CLABSI incidence densities from the period before BMI surveillance (2007–2012) and the period after BMI surveillance was implemented (2013–2018) were analyzed and compared. Infections during the preintervention period were reclassified according to the MBI criterion to obtain an accurate CLABSI rate for the first period. The average incidence densities for the 2 periods were compared using the Student t test after testing for no autocorrelation (P > .05). Results: After reclassification, the preintervention period incidence density (10 infections per 1,000 patient days) was significantly higher than the postintervention period incidence density (6 infections per 1,000 patients day; P = .011) (Table 1). Therefore, the reclassification of nonpreventable infections (MBI) in the surveillance system made the diagnosis of CLABSI more specific. The hospital infection control service was able to introduce specific preventive measures related to the insertion and management of central lines in HSCT patient care. Conclusions: The MBI classification improved the CLABSI diagnosis, which upgraded central-line prevention measures, then contributed to the decrease of CLABSI rates in this high-risk population.Funding: NoneDisclosures: None
Impact of Screening for Methicillin-Resistant Staphylococcus aureus (MRSA) in Pneumonia on Vancomycin Utilization
Authors: Crotty Matthew , Weltman Natalie , Pribble Joslyn , Wilson Marie 
Published: November 2020

Background: Methicillin-Resistant Staphylococcus aureus (MRSA) is frequently targeted with empiric treatment for pneumonia in the hospital. Obtaining quality lower respiratory tract cultures to promote appropriate de-escalation can be difficult or impractical. Nasal screening for MRSA has a high negative predictive value for MRSA pneumonia and can be an effective tool for early de-escalation. Methods: A pharmacist-driven process for nasopharyngeal MRSA screening of patients prescribed intravenous vancomycin was implemented in October 2018. Vancomycin utilization was extracted from the electronic medical record (EMR) and summarized as days of therapy per 1,000 patient days (DOT/1,000 PD). Vancomycin utilization data for the 6 months following process implementation (November 2018–April 2019) were compared to the same period from the previous year (November 2017–April 2018). Specific patient outcomes data were manually collected for patients prescribed vancomycin for pneumonia during the first 2 months following process implementation (November–December 2018; postintervention group) and comparable months (November–December 2017; preintervention group). Data were analyzed using the 2 test (nominal data) and Mann–Whitney U test (continuous data). Results: Total vancomycin utilization decreased from a monthly average of 114 to 95 DOT/1,000 PD (17% reduction) and from 27 to 14 DOT/1,000 PD for pneumonia (48% reduction). In-patient mortality was unchanged following process implementation at 17.2% versus 17.5% in the pre- and postintervention groups, respectively. Other clinical outcomes were also similar between the pre- and postintervention groups (Table 1). Fewer vancomycin levels were obtained following implementation with 34.4% of patients (0.61 levels per patient) having a level obtained in the preintervention group compared to 21.6% (0.30 levels per patient; P .001) in the postintervention group. Conclusions: Nasopharyngeal MRSA screening of patients prescribed vancomycin for pneumonia is an effective antimicrobial stewardship strategy to reduce unnecessary use of anti-MRSA therapy without negatively impacting clinical outcomes.Funding: NoneDisclosures: None
Impact of Seasonality and Influenza Rates on Interventions to Reduce Hospital-Acquired Clostridioides difficile Rates
Authors: Leal Jenine , Faris Peter , Shen Ye , Bresee Lauren , Bush Kathryn , Chow Blanda , Dalton Bruce , Fletcher Jared , Hartman Sara , Kaufman Jaime , Kim Joseph , Kothandaraman Maitreyi , Kraft Scott , Lamont Nicole , Larios Oscar , Manns Braden , Missaghi Bayan , Ocampo Wrechelle , Poulin Paule , Sabuda Deana , Holroyd-Leduc Jayna , Louie Thomas , Conly John 
Published: November 2020

Background: Hospital-acquired Clostridioides difficile infection (HA-CDI) rates are highly variable over time, posing problems for research assessing interventions that might improve rates. By understanding seasonality in HA-CDI rates and the impacts that other factors such as influenza admissions might have on these rates, we can account for them when establishing the relationship between interventions and infection rates. We assessed whether there were seasonal trends in HA-CDI and whether they could be accounted for by influenza rates. Methods: We assessed HA-CDI rates per 10,000 patient days, and the rate of hospitalized patients with influenza per 1,000 admissions in 4 acute-care facilities (n = 2,490 beds) in Calgary, Alberta, from January 2016 to December 2018. We used 4 statistical approaches in R (version 3.5.1 software): (1) autoregressive integrated moving average (ARIMA) to assess dependencies and trends in each of the monthly HA-CDI and influenza series; (2) cross correlation to assess dependencies between the HA-CDI and influenza series lagged over time; (3) Poisson harmonic regression models (with sine and cosine components) to assess the seasonality of the rates; and (4) Poisson regression to determine whether influenza rates accounted for seasonality in the HA-CDI rates. Results: Conventional ARIMA approaches did not detect seasonality in the HA-CDI rates, but we found strong seasonality in the influenza rates. A cross-correlation analysis revealed evidence of correlation between the series at a lag of zero (R = 0.41; 95% CI, 0.10–0.65) and provided an indication of a seasonal relationship between the series (Fig. 1). Poisson regression suggested that influenza rates predicted CDI rates (P < .01). Using harmonic regression, there was evidence of seasonality in HA-CDI rates (2 [2 df] = 6.62; P < .05) and influenza rates (2 [2 df] = 1,796.6; P < .001). In a Poisson model of HA-CDI rates with both the harmonic components and influenza admission rates, the harmonic components were no longer predictive of HA-CDI rates. Conclusions: Harmonic regression provided a sensitive means of identifying seasonality in HA-CDI rates, but the seasonality effect was accounted for by influenza admission rates. The relationship between HA-CDI and influenza rates is likely mediated by antibiotic prescriptions, which needs to be assessed. To improve precision and reduce bias, research on interventions to reduce HA-CDI rates should assess historic seasonality in HA-CDI rates and should account for influenza admissions.Funding: NoneDisclosures: None
Impact of the Revised Non–Culture-Based Methodology Criteria on Central-Line–Associated Bloodstream Infections
Authors: Suleyman Geehan , Chevalier Thomas , Murad Nisreen , Alangaden George 
Published: November 2020

Background: The current NHSN guideline states that positive results from both blood cultures and non–culture-based testing (NCT) methodologies are to be used for central-line–associated bloodstream infection (CLABSI) surveillance determination. A positive NCT result in the absence of blood cultures or negative blood cultures in patients who meet CLABSI criteria is to be reported to NHSN. However, the reporting criteria for NCT changed starting January 1, 2020: If NCT is positive and the blood culture is negative 2 days before or 1 day after, the NCT result is not reported. If the NCT is positive with no blood culture within the 3-day window period, the NCT result is reported in patients who meet CLABSI criteria. We estimated the impact of the new NCT criteria on CLABSI numbers and rates compared to the previous definition. Methods: At our facility, the T2Candida Panel (T2), an NCT, was implemented for clinical use for the detection of early candidemia and invasive candidiasis. The T2 is a rapid molecular test performed directly on blood samples to detect DNA of 5 Candida spp: C. albicans/C. tropicalis, C. glabrata/C. krusei, and C. parapsilosis. In this retrospective study performed at an 877-bed teaching hospital in Detroit, we reviewed the impact of discordant T2 results (positive T2 with negative blood cultures) on CLABSI rates from January 1, 2017, to September 30, 2019, based on the current definition, and we applied the revised criteria to estimate the new CLABSI numbers and rates for the same period. Results: Of 343 positive T2 results, 202 (58.9%) were discordant and qualified for CLABSI determination during the study period. Of these, 109 (54%) met CLABSI criteria based on the current definition and 11 (5%) met CLABSI criteria using the new definition (proportional P < .001), resulting in an 89.9% reduction. The CLABSI rate per 1,000 central-line days, which includes discordant T2 results, based on the current and new NCT criteria, are listed in Table 1. Conclusions: In institutions that utilize NCT such as T2, application of the new 2020 NCT NHSN definition would significantly reduce the CLABSI number and have a significant impact on the CLABSI rates and standardized infection ratios (SIRs).Funding: NoneDisclosures: None
Implement Electronic Decision Support to Decrease Hospital-Onset Clostridium difficile Infections at Two Community Hospitals
Authors: Montero Maria , Giannopoulos Gina , Mikolajczak Anessa , Silkaitis Christina , Lewis Steven 
Published: November 2020

Background: Literature supports appropriate testing as a key factor affecting the hospital-onset (HO) Clostridium difficile infections (CDI) standardized infection ratio (SIR). In 2016, facility A was a significant outlier in HO CDI with an SIR of 2.57. In 2017, facility B had a peak SIR of 1.9. Both SIRs were considerably higher than the Centers for Medicare and Medicaid Services (CMS) national SIR of 0.997. Methods: Hospital-onset CDIF cases from both hospitals were reviewed. Current electronic decision support in the electronic health record (EHR) was evaluated for CDI laboratory orders. Literature was reviewed for best practice of appropriate specimen collection and testing. Interventions were implemented at facility A in November 2016 and facility B in June 2018. Results: In total, 67 HO CDIF cases were reviewed from both facilities (October 2015–September 2016 for facility A and April 2017–June 2018 for facility B), and 46% were due to inappropriate testing. A CDI testing order set with decision support and best practice alerts was implemented based on national best-practice guidelines (Fig. 1). Physician and nurse education were completed on appropriate testing for CDI, including symptoms and timely specimen collection. Real-time review of appropriate testing was validated by the infection prevention team, and outliers were communicated to the ordering provider. After implementation, decreases in HO-CDIF SIRs occurred at both facilities (facility A SIR, 0.36; facility B SIR, 0.56). Both facilities have been able to sustain an SIR below the current CMS national average of 0.784. Conclusions: By implementing a sophisticated order-entry process that includes electronic decision support based on best practices, clinician education, and real-time feedback to providers, patients are appropriately tested for CDI. This intervention has allowed for appropriate classification within the NHSN and has decreased the overall HO-CDIF SIR.Funding: NoneDisclosures: None
Implementing a Massive Personal Protective Equipment Education—A Multidisciplinary Team Approach
Authors: Al Mohajer Mayar , Fischer Megan , Rouse Melissa , Pipkins Takei , Byrne John 
Published: November 2020

Background: Personal protective equipment (PPE) is defined by the Occupational Safety and Health Administration as specialized clothing or equipment worn by an employee for protection against infectious materials. They include gloves, gowns, masks, respirators, googles and face shields. The CDC has issued guidelines on appropriateness of when, what, and how to use PPE. Despite these guidelines, compliance with PPE remains challenging. Methods: We implemented a massive hospital-wide rapid education program on PPE donning and doffing of all employees and staff. This program included an online video, return demonstration and just-in-time training. To develop the program, we recorded PPE training video, reviewed PPE validation checklist, developed new isolation precaution signage with quick response (QR) code to video, developed a nutrition tray removal video and a equipment cleaning video, developed family and visitor guidelines for isolation precautions, and created an audit tool for PPE donning and doffing practices. The program required interdisciplinary collaboration including administration, infection prevention, nursing education, central supply, environmental services, facility maintenance, and security. Results: The first phase of the program was implemented through 30 separate 4-hour PPE skills fair offered over 48 hours. In total, 500 staff members were trained in the first 48 hours; 6 additional 3-hour sessions were provided on site in the following 3 month. Additionally, training was provided in off-site clinics, physician leadership meetings, new-hire orientation for nursing staff, and monthly resident and fellow training through graduate medical education. As needed, training was provided by infection prevention, nursing education, and floor nurses. In total, 5,237 staff members were trained within 3 months after implementation. Actual audit results (50 audits per week) showed improved and sustained compliance to >94%. Conclusions: A massive hospital-wide educational program including online video, return demonstration, and just-in-time training is a feasible and very effective method to improve compliance with PPE donning and doffing. A multidisciplinary team approach, administration support, and continuous education and audits are key factors in successful implementation.Funding: NoneDisclosures: None
Implications of Oxacillin-Resistant, mecA-Negative Staphylococcus aureus Detected in NICU MRSA Surveillance Cultures
Authors: Ikpeama Geoffrey , Squires Crystal , Wallace Meghan , Kieffer Patricia , Hayes Ericka , Ransom Eric , Burnham Carey-Ann , Reich Patrick 
Published: November 2020

Background: Weekly surveillance to identify neonatal intensive care unit (NICU) infants with methicillin-resistant S. aureus (MRSA) nasal colonization was performed using Remel Spectra MRSA chromogenic media. An increased MRSA colonization rate from baseline was detected in 2019, prompting additional review of all positive MRSA NICU screening cultures from 2019. Methods: A subset of 23 positive cultures were interrogated in detail. Species-level identification was confirmed using matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) with a Bruker Biotyper. Penicillin-binding protein 2a (PBP2a) testing was performed using the Alere culture colony test, and cefoxitin and oxacillin susceptibility were assessed via Kirby-Bauer disk-diffusion methods (for the purpose of this analysis, oxacillin zone sizes 18 mm were considered susceptible). Molecular detection of mecA and mecC genes using PCR was performed. Results: All 23 isolates in the subset group were confirmed as S. aureus based on MALDI-TOF testing. Moreover, 8 isolates (35%) were confirmed as MRSA based on cefoxitin susceptibility, positive rapid PBP2a testing, and mecA PCR results. Overall, 15 isolates (65%) tested cefoxitin-susceptible and PBP2a negative with negative mecA and mecC gene testing. Of these, 1 (7%) tested oxacillin-susceptible based on disk-diffusion testing, consistent with methicillin-susceptible S. aureus (MSSA). The remaining 14 isolates (93%) tested oxacillin resistant based on oxacillin zone size. Conclusions: Our findings indicate the detection of mecA/mecC negative S. aureus isolates demonstrating oxacillin resistance and growth on Remel Spectra MRSA chromogenic media. These results have important implications for infection prevention surveillance efforts to detect MRSA and raise questions regarding optimal antibiotic therapy in patients with isolates displaying this phenotype.Funding: NoneDisclosures: None
Importance of the Respiratory Tract in Carbapenemase-Producing Enterobacteriaceae Spread
Authors: Martínez Olaia Pérez , Rodríguez Raquel García , Rodríguez Mª José Pereira , Camino Angela Varela 
Published: November 2020

Background: Carbapenemase-producing Enterobacteriaceae (CPE) causes infections associated with high mortality rates among hospitalized patients. CPE transmission occurs frequently, and prevention of patient-to-patient transmission is a priority. However, transmission pathways are not yet completely understood. The colonization of the respiratory tract with a CPE may lead to a higher risk of contamination of the patient’s environment increasing the spread of CPE. Objective: We estimated the rate of CPE spread when respiratory tract infection or colonization is present. Methods: We studied CPE dissemination analyzing a cohort of patients admitted between January 2013 and December 2018 at the university hospital complex of A Corua, a tertiary-care hospital. All patients who were hospitalized in the same room as a patient colonized or infected with a CPE (index case) for at least 24 hours were screened for CPE carriage. The microbiological screening was performed with conventional culture or polymerase chain reaction (PCR) to identified possible CPE patient-to-patient transmission. The screening test included several samples: rectal swab, perineal swab, wound or drainage swab, and low respiratory tract sample. Results: Active screening for CPE carriage was performed in 84 contact patients. Men represent 57.1% of the sample, and the mean age was 78.5 years (men, 68.0 years and women, 80.8 years), with significant differences between sexes (12.9; 95% CI, 19.6 to 6.1). The major group of cases (86.9%) were hospitalized in medical wards. Transmission confirmed by PCR occurred in 13 (15.5%) of 84 contact patients, after a mean exposure to the index case of 13.3 days. No significant differences were detected in terms of mean exposure to index cases between those contact patients who result negative and those who result positive. The 35 index cases (41.7%) tested positive for CPE on the respiratory sample, and exposure to them led to 8 positive contact patients (61.5%). Conclusions: CPE transmission in a tertiary-care hospital occurred frequently. The spread rate is even higher when CPE is present at the respiratory level. Understanding the mode of spread is important for designing effective control measures and adding a respiratory sample to CPE screening could be a key consideration.Funding: NoneDisclosures: None