2039. Evaluation Of Diagnostic Considerations In The Evaluation Of Hospital Acquired Pneumonia

Abstract Background Hospital-Acquired Pneumonia (HAP), defined as pneumonia that occurs 48 hours or more after hospital admission, is considered a part of the health care-associated infections (HAIs). HAIs are one of the top ten causes of death in the United States. Correct diagnosis of HAIs is key to reducing its impact, however, the diagnosis of HAP is challenging because clinical findings are nonspecific and there is no combination of signs, symptoms, and laboratory or imaging results that can predict this diagnosis with a good sensitivity or specificity. This study aims to clarify the prioritization of clinical elements considered in the diagnosis of HAP by physicians at our center. Methods This is a cross-sectional study at a large, tertiary care academic center in Miami, Florida. The target population included hospitalists, internal medicine residents, critical care and infectious disease fellows. REDCap was used to administer the survey and collect data. A rank individual analysis was conducted to assess for the most significant diagnostic criteria overall. Kruskal-Wallis analysis was conducted to assess for significance of the individual diagnostic criteria. Results At the end of the survey period, 130 people responded (45.8% of sent surveys). Overall Kruskal-Wallis rank sum test of the systemic factors showed significant differences between the diagnostic criteria chosen. The presence of a new or worsening infiltrate on imaging was selected as most important. After that, fever, a positive respiratory culture, worsening hypoxia and new cough and shortness of breath were in the second tier of important criteria (Figure 1). The median number of factors needed to have HAP in the differential diagnosis and start empiric treatment was 3, while the needed number to secure the diagnosis of HAP was 4. In an immunocompromised patient, the median number of factors needed was 2 (Figure 2). Color red, represents selection 1 - meaning, the larger the tab, it means that specific factor was highly considered as the first factor in the diagnosis of HAP. Color green represents second most selected factor Color blue represents third most selected factor Upper box: median number of factors needed to secure the diagnosis of HAP Mid box: median number of factors needed to include HAP as the differential diagnosis in an immunocompromised patient Lower box: media number of factors needed to have HAP in the differential and start empirical treatment Conclusion In this study, we observed that the most highly considered criteria for the diagnosis of HAP are new or worsening infiltrate on imaging, new or worsening hypoxia, and respiratory cultures with growth of a classical respiratory pathogen. Most of these criteria are part of the IDSA guidelines on the evaluation and treatment of HAP. Future directions include developing a decision support tool for diagnosing HAP. Disclosures All Authors: No reported disclosures

Resident Physician Knowledge of Urine Testing and Treatment Over Four Years

We surveyed resident physicians at 2 academic medical centers regarding urinary testing and treatment as they progressed through training. Demographics and self-reported confidence were compared to overall knowledge using clinical vignette-based questions. Overall knowledge was 40% in 2011 and increased to 48%, 55%, and 63% in subsequent years (P<.001).Infect Control Hosp Epidemiol 2018;39:616-618

Concomitant Lymphoma and Cryptococcosis in a Patient With Acquired Immune Deficiency Syndrome

Cryptococcomas and primary central nervous system lymphomas are rarely seen together in a single mass in patients diagnosed with acquired immune deficiency syndrome [Wang et al, Zhonghua Yi Xue Za Zhi (Taipei) 1997; 59: 50-4]. This report details the unique presentation, diagnosis and subsequent medical and surgical treatments for this pair of conditions

Candida auris Invasive Infections during a COVID-19 Case Surge

Clinical cases of C. auris noted during a COVID-19 surge led to an epidemiological, clinical, and genomic investigation. Evaluation identified a close genetic relationship but inconclusive epidemiologic link between all cases. Prolonged hospitalization due to critical illness from COVID-19 and use of antimicrobials may have contributed to clinical infections

Linking prediction models to government ordinances to support hospital operations during the COVID-19 pandemic

Objectives We describe a hospital’s implementation of predictive models to optimise emergency response to the COVID-19 pandemic.Methods We were tasked to construct and evaluate COVID-19 driven predictive models to identify possible planning and resource utilisation scenarios. We used system dynamics to derive a series of chain susceptible, infected and recovered (SIR) models. We then built a discrete event simulation using the system dynamics output and bootstrapped electronic medical record data to approximate the weekly effect of tuning surgical volume on hospital census. We evaluated performance via a model fit assessment and cross-model comparison.Results We outlined the design and implementation of predictive models to support management decision making around areas impacted by COVID-19. The fit assessments indicated the models were most useful after 30 days from onset of local cases. We found our subreports were most accurate up to 7 days after model run.Discusssion Our model allowed us to shape our health system’s executive policy response to implement a ‘hospital within a hospital’—one for patients with COVID-19 within a hospital able to care for the regular non-COVID-19 population. The surgical schedule is modified according to models that predict the number of new patients with Covid-19 who require admission. This enabled our hospital to coordinate resources to continue to support the community at large. Challenges included the need to frequently adjust or create new models to meet rapidly evolving requirements, communication, and adoption, and to coordinate the needs of multiple stakeholders. The model we created can be adapted to other health systems, provide a mechanism to predict local peaks in cases and inform hospital leadership regarding bed allocation, surgical volumes, staffing, and supplies one for COVID-19 patients within a hospital able to care for the regular non-COVID-19 population.Conclusion Predictive models are essential tools in supporting decision making when coordinating clinical operations during a pandemic

Persistent colonization of Candida auris among inpatients rescreened as part of a weekly surveillance program

We established a surveillance program to evaluate persistence of colonization among hospitalized patients. Overall, 17 patients (34%) had ≥1 negative result followed by a positive test, and 7 (41%) of these patients had ≥2 consecutive negative tests

Bloodstream Infection Risk, Incidence, and Deaths for Hospitalized Patients during Coronavirus Disease Pandemic

Hospital-acquired infections are emerging major concurrent conditions during the coronavirus disease (COVID-19) pandemic. We conducted a retrospective review of hospitalizations during March‒October 2020 of adults tested by reverse transcription PCR for severe acute respiratory syndrome coronavirus 2. We evaluated associations of COVID-19 diagnosis with risk for laboratory-confirmed bloodstream infections (LCBIs, primary outcome), time to LCBI, and risk for death by using logistic and competing risks regression with adjustment for relevant covariates. A total of 10,848 patients were included in the analysis: 918 (8.5%) were given a diagnosis of COVID-19, and 232 (2.1%) had LCBIs during their hospitalization. Of these patients, 58 (25%) were classified as having central line‒associated bloodstream infections. After adjusting for covariates, COVID-19‒positive status was associated with higher risk for LCBI and death. Reinforcement of infection control practices should be implemented in COVID-19 wards, and review of superiority and inferiority ranking methods by National Healthcare Safety Network criteria might be needed

48. Local Implementation of an Antibiotic Stewardship Intervention for Asymptomatic Bacteriuria Through Centralized Facilitation Required Minimal Costs and Effort

Abstract Background The cost of an antibiotic stewardship intervention is an important yet often neglected factor in antibiotic stewardship research. We studied the costs associated with successful implementation of the “Kicking CAUTI” intervention to decrease treatment of asymptomatic bacteriuria (ASB). Methods A central coordinating site facilitated roll-out of an audit and feedback intervention to decrease unnecessary urine cultures and antibiotic treatment in patients with ASB in four Veterans Affairs medical centers. Each site had a physician site champion, a part-time research coordinator, and 1-2 additional participants (often pharmacists). Participants kept weekly time-logs to collect the minutes associated with intervention tasks, and percent full-time effort (FTE) and costs were computed. For weeks with missing logs the average minutes for each activity associated with each type of professional was imputed. Salary information was obtained from the Bureau of Labor Statistics and Association of American Medical Colleges. Results Research coordinator time comprised of majority of the personnel time, followed by the physician site champions (Figure 1). Each intervention site required about 10% FTE/year of a research coordinator, and 3.5% FTE/year and 3.8% FTE/year of a physician and pharmacist respectively. The coordinating site required 37% FTE/year of a research coordinator, and 9% FTE of a physician to spearhead the intervention. Research coordinators predominantly spent their time on chart-reviews and project coordination. Physician champions predominantly spent their time on delivering audit and feedback and project coordination. The intervention cost USD 22,299/year per site on average, and USD 45,359/year for the coordinating site. Conclusion The Kicking CAUTI intervention was successful at reducing urine cultures and associated antibiotic use, with minimal time from the local team members. The research coordinators’ time was primarily spent on collection of research data, which will not be necessary outside of a research project. Our model of centralized facilitation makes economic sense for widespread scale-up and dissemination of antibiotic stewardship interventions in integrated healthcare systems. Disclosures Barbara Trautner, MD, PhD, Genentech (Consultant, Scientific Research Study Investigator

Organizational readiness assessment in acute and long-term care has important implications for antibiotic stewardship for asymptomatic bacteriuria

BackgroundPrior to implementing an antibiotic stewardship intervention for asymptomatic bacteriuria (ASB), we assessed institutional barriers to change using the Organizational Readiness to Change Assessment.MethodsSurveys were self-administered on paper in inpatient medicine and long-term care units at 4 Veterans Affairs facilities. Participants included providers, nurses, and pharmacists. The survey included 7 subscales: evidence (perceived strength of evidence) and six context subscales (favorability of organizational context). Responses were scored on a 5-point Likert-type scale.ResultsOne hundred four surveys were completed (response rate = 69.3%). Overall, the evidence subscale had the highest score; the resources subscale (mean 2.8) was significantly lower than other subscales (P &lt; .001). Scores for budget and staffing resources were lower than scores for training and facility resources (P &lt; .001 for both). Pharmacists had lower scores than providers for the staff culture subscale (P = .04). The site with the lowest scores for resources (mean 2.4) also had lower scores for leadership and lower pharmacist effort devoted to stewardship.ConclusionsAlthough healthcare professionals endorsed the evidence about nontreatment of ASB, perceived barriers to antibiotic stewardship included inadequate resources and leadership support. These findings provide targets for tailoring the stewardship intervention to maximize success

Teamwork and safety climate affect antimicrobial stewardship for asymptomatic bacteriuria

In preparation for a multisite antibiotic stewardship intervention, we assessed knowledge and attitudes toward management of asymptomatic bacteriuria (ASB) plus teamwork and safety climate among providers, nurses, and clinical nurse assistants (CNAs). Prospective surveys during January-June 2018. All acute and long-term care units of 4 Veterans' Affairs facilities. The survey instrument included 2 previously tested subcomponents: the Kicking CAUTI survey (ASB knowledge and attitudes) and the Safety Attitudes Questionnaire (SAQ). A total of 534 surveys were completed, with an overall response rate of 65%. Cognitive biases impacting management of ASB were identified. For example, providers presented with a case scenario of an asymptomatic patient with a positive urine culture were more likely to give antibiotics if the organism was resistant to antibiotics. Additionally, more than 80% of both nurses and CNAs indicated that foul smell is an appropriate indication for a urine culture. We found significant interprofessional differences in teamwork and safety climate (defined as attitudes about issues relevant to patient safety), with CNAs having highest scores and resident physicians having the lowest scores on self-reported perceptions of teamwork and safety climates (P < .001). Among providers, higher safety-climate scores were significantly associated with appropriate risk perceptions related to ASB, whereas social norms concerning ASB management were correlated with higher teamwork climate ratings. Our survey revealed substantial misunderstanding regarding management of ASB among providers, nurses, and CNAs. Educating and empowering these professionals to discourage unnecessary urine culturing and inappropriate antibiotic use will be key components of antibiotic stewardship efforts