Publications
Department of Medicine faculty members published more than 3,000 peer-reviewed articles in 2022.
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Specialty-specific individualized learning plans (ILPs) have been promoted to improve the undergraduate to graduate medical education transition, yet few pilots have been described. To create and report on the feasibility and acceptability of a pilot internal medicine (IM) ILP template. The ILP was created by a group of diverse IM expert stakeholders and contained questions to stimulate self-reflection and collect self-reported readiness data from incoming interns. US IM residency programs were invited to pilot the ILP with interns in spring 2022. Data was used at the programs' discretion. The pilot was evaluated by a post-pilot survey of programs to elicit perceptions of the impact and value of the ILP and analyze anonymous ILP data from 3 institutions. Fifty-two IM residency programs agreed to participate with a survey response rate of 87% (45 of 52). Of responding programs, 89% (40 of 45) collected ILPs, thus we report on data from these 40 programs. A total of 995 interns enrolled with 782 completing ILPs (79%). One hundred eleven ILPs were analyzed (14%). Most programs found the ILP valuable to understand incoming interns' competencies (26 of 40, 65%) and areas for improvement (24 of 40, 60%) and thought it should continue (29 of 40, 73%). Programs estimated the ILP took interns 29.2±14.9 minutes and 21.6±10.3 minutes for faculty mentors to complete. The most common barrier was faculty mentor participation. An ILP based on interns' self-reported data was feasible and valuable to IM residency programs in understanding interns' competencies and areas for improvement.
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Right ventricular (RV) dysfunction is common among patients hospitalized with coronavirus disease (COVID-19); however, its epidemiology may depend on the echocardiographic parameters used to define it. To evaluate the prevalence of abnormalities in three common echocardiographic parameters of RV function among patients with COVID-19 admitted to the intensive care unit (ICU), as well as the effect of RV dilatation on differential parameter abnormality and the association of RV dysfunction with 60-day mortality. We conducted a retrospective cohort study of ICU patients with COVID-19 between March 4, 2020, and March 4, 2021, who received a transthoracic echocardiogram within 48 hours before to at most 7 days after ICU admission. RV dysfunction and dilatation, respectively, were defined by guideline thresholds for tricuspid annular plane systolic excursion (TAPSE), RV fractional area change, RV free wall longitudinal strain (RVFWS), and RV basal dimension or RV end-diastolic area. Association of RV dysfunction with 60-day mortality was assessed through logistic regression adjusting for age, prior history of congestive heart failure, invasive ventilation at the time of transthoracic echocardiogram, and Acute Physiology and Chronic Health Evaluation II score. A total of 116 patients were included, of whom 69% had RV dysfunction by one or more parameters, and 36.3% of these had RV dilatation. The three most common patterns of RV dysfunction were the presence of three abnormalities, the combination of abnormal RVFWS and TAPSE, and isolated TAPSE abnormality. Patients with RV dilatation had worse RV fractional area change (24% vs. 36%; = 0.001), worse RVFWS (16.3% vs. 19.1%; = 0.005), higher RV systolic pressure (45 mm Hg vs. 31 mm Hg; = 0.001) but similar TAPSE (13 mm vs. 13 mm; = 0.30) compared with those with normal RV size. After multivariable adjustment, 60-day mortality was significantly associated with RV dysfunction (odds ratio, 2.91; 95% confidence interval, 1.01-9.44), as was the presence of at least two parameter abnormalities. ICU patients with COVID-19 had significant heterogeneity in RV function abnormalities present with different patterns associated with RV dilatation. RV dysfunction by any parameter was associated with increased mortality. Therefore, a multiparameter evaluation may be critical in recognizing RV dysfunction in COVID-19.
View on PubMed2023