Faculty Bibliography

OBJECTIVES: We designed a prospective cohort study to systematically study patients with severe acute respiratory infection (SARI) and improve hospital preparedness (SARI-PREP). The goal of this project is to evaluate the natural history, prognostic biomarkers, and characteristics, including hospital stress, associated with SARI clinical outcomes and severity.
METHOD(S): In collaboration with the Society of Critical Care Medicine Discovery Research Network and the National Emerging Special Pathogen Training and Education Center (NETEC), SARIPREP is an ongoing, prospective, observational, multi-center cohort study of hospitalized patients with respiratory viral infections. We collected patient demographics, signs, symptoms, and medications; microbiology, imaging, and other diagnostics; mechanical ventilation, hospital procedures, and other interventions; and clinical outcomes. Hospital leadership completed a weekly hospital stress survey. Respiratory, blood, and urine biospecimens were collected from patients on days 0, 3, 7-14 after study enrollment and at hospital discharge. MEASUREMENTS AND MAIN RESULTS: SARI-PREP enrollment began on April 4, 2020 and currently includes 674 patients. Here we report results from the first 400 patients: 216 are from the University of Washington Hospitals, Seattle WA, 142 from New York University, New York NY and 42 from University of Southern California, Los Angeles, CA. Almost all tested positive for SARS-CoV-2 infection (n=397), whereas 3 patients tested positive for an alternative viral pathogen. The mean (+/-SD) age of the patients was 57+/-16 years; 72% were men, 62% were White, 14% were Asian, 12% were Black, and 31% were Hispanic. Most of the patients were admitted to the intensive care unit (96%). The median (interquartile range) hospital length of stay was 22 (9-46) days. Rates of invasive mechanical ventilation (72%) and renal replacement therapy (19%) were common and the rate of hospital mortality was 35%.
CONCLUSION(S): Initial SARI-PREP analysis indicates enrollment of a diverse population of hospitalized patients primarily with SARSCoV-2 infection. The demographics and clinical outcomes of our cohort mirror other large critically ill cohorts of COVID-19 patients. Results of a concomitant, weekly, hospital stress assessment are reported separately

BACKGROUND:The Minnesota Hospital Association (MHA) recognized the impact that burnout and disengagement had on the clinician population. A clinician task force developed a conceptual framework, followed by annual surveys and a series of interventions. Features of the job demands-resources model were used as the conceptual underpinning to this analysis. PURPOSE:The aim of this study was to assess the applicability of a clinician-driven conceptual model in understanding burnout and work engagement in the state of Minnesota. METHODOLOGY:Four thousand nine hundred ninety clinicians from 94 MHA member hospitals/systems responded to a 2018 survey using a brief instrument adapted, in part, from previously validated measures. RESULTS:As hypothesized, job demands were strongly related to burnout, whereas resources were most related to work engagement. Variables from the MHA model explained 40% of variability in burnout and 24% of variability in work engagement. Variables related to burnout with the highest beta weights included having sufficient time for work (-0.266), values alignment with leaders (-0.176), and teamwork efficiency (-0.123), all ps < .001. Variables most associated with engagement included values alignment (0.196), feeling appreciated (0.163), and autonomy (0.093), ps < .001. CONCLUSION:Findings support the basic premises of the proposed conceptual model. Remediable work-life conditions, such as having sufficient time to do the job, values alignment with leadership, teamwork efficiency, feeling appreciated, and clinician autonomy, manifested the strongest associations with burnout and work engagement. PRACTICE IMPLICATIONS:Interventions reducing job demands and strengthening resources such as values alignment, teamwork efficiency, and clinician autonomy are seen as having the greatest potential efficacy.

Rates of burnout among clinicians have been exacerbated by the COVID-19 (COVID)pandemic. A survey of Missouri primary care professionals at federally qualified health centers was conducted during a COVID surge in August 2021 to assess burnout, stress, and job satisfaction as well as if respondents had sought assistance for burnout or attended resiliency training. Despite respondents reporting rates of burnout (56%) that exceed those reported nationally (48%), only 17% sought help for burnout. Most (81%) had not attended resiliency training; of those who did, 16% said sessions "make me feel less alone," while an equivalent number found sessions not useful, identifying an absence of resources within their organization. Comments focused on the need for dedicated time to receive support, including time to seek assistance during working hours, time to take breaks, and time for self-care. The data suggest one path forward to remediate burnout: provide the workforce with time to access support.

OBJECTIVES/UNASSIGNED:Determine whether there are different longitudinal patterns of treatment burden in people living with multiple chronic conditions (MCC) and, if so, explore predictors that might reveal potential routes of intervention. METHODS/UNASSIGNED:We analyzed data from a prospective mailed survey study of 396 adults living with MCC in southeastern Minnesota, USA. Participants completed a measure of treatment burden, the Patient Experience with Treatment and Self-management (PETS), and valid measures of health-related and psycho-social concepts at baseline, 6, 12, and 24 months. Latent class growth mixture modeling (LCGM) determined trajectories of treatment burden in two summary index scores of the PETS: Workload and Impact. Multivariable logistic regressions were used to identify independent predictors of the trajectories. RESULTS/UNASSIGNED:< .05). CONCLUSIONS/UNASSIGNED:Different longitudinal patterns of treatment burden exist among people with MCC. Raising health literacy, enhancing self-efficacy, and lessening the effects of negative social interactions might help reduce treatment burden.

AIM:Some observational studies have observed a lower, rather than higher, mortality rate in association with hypercholesterolemia during follow-up of patients after cardiac stress testing. We aim to assess the relationship of hypercholesterolemia and other CAD risk factors to mortality across a wide spectrum of patients referred for various cardiac tests. METHODS AND RESULTS:We identified four cardiac cohorts: 64,357 patients undergoing coronary artery calcium (CAC) scanning, 10,814 patients undergoing coronary CT angiography (CCTA), 31,411 patients without known CAD undergoing stress/rest single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI), and 5051 patients with known CAD undergoing stress/rest SPECT-MPI. Each cohort was followed for all-cause mortality using risk-adjusted Cox models. We pooled the hazard ratios between cohorts with a random effects model. Baseline risk varied markedly among cohorts, from an annualized mortality rate of 0.31%/year in CAC patients to 3.63%/year among SPECT-MPI patients with known CAD. Hypertension, diabetes, and smoking were each associated with increased mortality in each patient cohort (pooled hazard ratio[95% CI]: 1.38[1.33-1.44], 1.88[1.76-2.00], and 1.67[1.48-1.86], respectively). By contrast, hypercholesterolemia was associated with decreased rather than increased mortality (pooled hazard ratio[95% CI]: 0.71[0.58-0.84]). Analysis of serum lipids among 7744 patients undergoing CAC or CCTA scanning revealed an inverse relationship between LDL cholesterol and mortality. CONCLUSIONS:Among a broad spectrum of patients referred for a variety of cardiac tests and ranging from low to high clinical risk, hypercholesterolemia was not associated with increased mortality risk. Our findings suggest that hypercholesterolemia may be sensitive to confounding by other clinical factors and post-test treatment changes in patient populations.

INTRODUCTION/UNASSIGNED:The elimination of the USMLE Step 1 three-digit score has created a deficit in standardized performance metrics for undergraduate medical educators and residency program directors. It is likely that there will be greater emphasis on USMLE Step 2 CK, an exam found to be associated with later clinical performance in residents and physicians. Because many previous models relied on Step 1 scores to predict student performance on Step 2 CK, we developed a model using other metrics. MATERIALS AND METHODS/UNASSIGNED:Assessment data for 228 students in three cohorts (classes of 2018, 2019, and 2020) were collected, including the Medical College Admission Test (MCAT), NBME Customized Assessment Service (CAS) exams and NBME Subject exams. A linear regression model was conducted to predict Step 2 CK scores at five time-points: at the end of years one and two and at three trimester intervals in year three. An additional cohort (class of 2021) was used to validate the model. RESULTS/UNASSIGNED:= 0.62). Including Step 1 scores did not significantly improve the final model. Using metrics from the class of 2021, the model predicted Step 2 CK performance within a mean square error (MSE) of 8.3 points (SD = 6.8) at the end of year 1 increasing predictability incrementally to within a mean of 5.4 points (SD = 4.1) by the end of year 3. CONCLUSION/UNASSIGNED:This model is highly generalizable and enables medical educators to predict student performance on Step 2 CK in the absence of Step 1 quantitative data as early as the end of the first year of medical education with increasingly stronger predictions as students progressed through the clerkship year.

MAIN OBJECTIVE:There is limited information on how patient outcomes have changed during the COVID-19 pandemic. This study characterizes changes in mortality, intubation, and ICU admission rates during the first 20 months of the pandemic. STUDY DESIGN AND METHODS:University of Wisconsin researchers collected and harmonized electronic health record data from 1.1 million COVID-19 patients across 21 United States health systems from February 2020 through September 2021. The analysis comprised data from 104,590 adult hospitalized COVID-19 patients. Inclusion criteria for the analysis were: (1) age 18 years or older; (2) COVID-19 ICD-10 diagnosis during hospitalization and/or a positive COVID-19 PCR test in a 14-day window (+/- 7 days of hospital admission); and (3) health system contact prior to COVID-19 hospitalization. Outcomes assessed were: (1) mortality (primary), (2) endotracheal intubation, and (3) ICU admission. RESULTS AND SIGNIFICANCE:The 104,590 hospitalized participants had a mean age of 61.7 years and were 50.4% female, 24% Black, and 56.8% White. Overall risk-standardized mortality (adjusted for age, sex, race, ethnicity, body mass index, insurance status and medical comorbidities) declined from 16% of hospitalized COVID-19 patients (95% CI: 16% to 17%) early in the pandemic (February-April 2020) to 9% (CI: 9% to 10%) later (July-September 2021). Among subpopulations, males (vs. females), those on Medicare (vs. those on commercial insurance), the severely obese (vs. normal weight), and those aged 60 and older (vs. younger individuals) had especially high mortality rates both early and late in the pandemic. ICU admission and intubation rates also declined across these 20 months. CONCLUSIONS:Mortality, intubation, and ICU admission rates improved markedly over the first 20 months of the pandemic among adult hospitalized COVID-19 patients although gains varied by subpopulation. These data provide important information on the course of COVID-19 and identify hospitalized patient groups at heightened risk for negative outcomes. TRIAL REGISTRATION:ClinicalTrials.gov Identifier: NCT04506528 (https://clinicaltrials.gov/ct2/show/NCT04506528).