Faculty Bibliography

Background and Aims/UNASSIGNED:To test the feasibility of a novel, wearable carotid Doppler ultrasound to track changes in cardiac output induced by end-inspiratory and end-expiratory occlusion tests. Methods/UNASSIGNED:We observed the pattern of Doppler change of the common carotid artery during a simulated end-inspiratory and expiratory occlusion test (sEIOT/sEEOT) in 10, nonventilated, healthy subjects. Simultaneously, we measured the Doppler signal of the descending aorta using duplex ultrasound (Xario, Toshiba Medical Systems) and stroke volume (SV) using noninvasive pulse contour analysis (Clearsight, Edwards Lifesciences, Irvine, California). Results/UNASSIGNED:= 0.95).The coefficient of variation of the VTI measured by the Doppler patch was roughly 60% less than that of the duplex system. Conclusions/UNASSIGNED:The pattern of SV change induced by a sEIOT/sEEOT in nonmechanically ventilated volunteers is reflected in the common carotid artery and descending aorta. The VTI variability of the Doppler patch was less than that of the traditional, duplex Doppler.

PURPOSE:Students perceive bias in learning environments. Curricula targeting implicit bias recognition and management increase student awareness and achieve strategy identification, but fall short of actual skill development to address bias. In light of this gap, the authors developed and evaluated a skills-based elective to recognize and manage implicit bias in the learning environment. METHOD:Nine 1.5-hour sessions were delivered to 15 first-year medical students from 2017 to 2019. An evidence-based conceptual framework and transformative learning theory informed the instructional design; it incorporated active learning exercises. Skills assessment occurred through direct observation of student performances in role-play exercises. Using thematic analysis, the authors conducted a program evaluation based on focus groups with students and data from notes taken by the investigative team. RESULTS:Students engaged with all aspects of instruction, including role-plays. Authors identified 3 themes from the program evaluation: (1) Student engagement can be enhanced, (2) Instruction is empowering, and (3) It (addressing bias in one's own and witnessed encounters) can be done! Analysis additionally highlighted opportunities for improvement and lessons learned. CONCLUSIONS:This innovative course achieved skill development and practice for medical students in implicit bias recognition and management as it pertains to 3 facets of clinical care present at every stage of a health professional's career. These include interpersonal encounters, advocating for patients when bias is perceived in witnessed encounters with peers and supervisors, and addressing comments made by others within the learning environment. Outcomes could inform novel, skills-based curricula across the spectrum of health professions training and practice.

Background/UNASSIGNED:Montefiore Medical Center (MMC) is a large tertiary care center in the Bronx, New York City, with 245 internal medicine residents. Beginning on February 29, 2020, residents became ill with COVID-19-like illness (CLI), which required absence from work. There was initially a shortage of personal protective equipment and delays in SARS-CoV-2 testing, which gradually improved during March and April 2020. Objective/UNASSIGNED:We evaluated the relationship between CLI-related work absence rates of internal medicine residents and MMC's COVID-19 hospital census over time. Methods/UNASSIGNED:Data on resident work absence between February 29 and May 22 were reviewed along with MMC's COVID-19 hospital census data. To determine the effect of patient exposure on resident CLI incidence, we compared the mean incidence of CLI per patient exposure days (PED = daily hospital census × days pre- or post-peak) before and after peak COVID-19 hospital census. Results/UNASSIGNED:= .003). Conclusions/UNASSIGNED:At the beginning of the COVID-19 pandemic in New York City, a large portion of internal medicine residents at this single center became ill. However, the incidence of CLI decreased over time, despite ongoing exposure to patients with COVID-19.

OBJECTIVE:To characterize the hospitalization and death rates among patients with inflammatory arthritis affected by COVID-19 and to analyze the associations between comorbidities and immunomodulatory medications and infection outcomes. METHODS:Clinical, demographic, maintenance treatment, and disease course data and outcomes of individuals with inflammatory arthritis (IA; rheumatoid arthritis and spondylarthritis) with symptomatic COVID-19 infection were prospectively assessed via web-based questionnaire followed by individual phone calls and electronic medical record review. Baseline characteristics and medication use were summarized for hospitalized and ambulatory patients, and outcomes were compared for each medication class using multivariable logistic regression. RESULTS:A total of 103 patients with IA were included in the study (n=80 confirmed and n=23 highly suspicious for COVID-19). Twenty-six percent of participants required hospitalization, and 4% died. Patients who warranted hospitalization were significantly more likely to be older (P<0.001) and have comorbid hypertension (P=0.001) and chronic obstructive pulmonary disease (P=0.022). IA patients taking oral glucocorticoids had a higher likelihood of being admitted for COVID-19 (P<0.001) while those on maintenance anti-cytokine biologic therapies did not. CONCLUSION/CONCLUSIONS:In patients with underlying IA, COVID-19 outcomes were worse in those receiving glucocorticoids but not in patients on maintenance anti-cytokine therapy. Further work is needed to understand whether immunomodulatory therapies affect COVID-19 incidence.

Introduction/UNASSIGNED:Adherence to cardioprotective dietary patterns can reduce risk for developing cardiometabolic disease. Rates of diet assessment and counselling by physicians are low. Use of a diet screener that rapidly identifies individuals at higher risk due to suboptimal dietary choices could increase diet assessment and brief counselling in clinical care. Methods/UNASSIGNED:We evaluated the relative validity and reliability of a 9-item diet risk score (DRS) based on the Healthy Eating Index (HEI)-2015, a comprehensive measure of diet quality calculated from a 160-item, validated food frequency questionnaire (FFQ). We hypothesised that DRS (0 (low risk) to 27 (high risk)) would inversely correlate with HEI-2015 score. Adults aged 35 to 75 years were recruited from a national research volunteer registry (ResearchMatch.org) and completed the DRS and FFQ in random order on one occasion. To measure reliability, participants repeated the DRS within 3 months. Results/UNASSIGNED:=0.36). The DRS ranked 37% (n=47) of subjects in the same quintile, 41% (n=52) within ±1 quintile of the HEI-2015 (weighted κ: 0.28). The DRS had high reliability (n=102, ICC: 0.83). DRS mean completion time was 2 min. Conclusions/UNASSIGNED:ClinicalTrials.gov (NCT03805373).

New York City (NYC) was an epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States during spring 2020 (1). During March-May 2020, approximately 203,000 laboratory-confirmed COVID-19 cases were reported to the NYC Department of Health and Mental Hygiene (DOHMH). To obtain more complete data, DOHMH used supplementary information sources and relied on direct data importation and matching of patient identifiers for data on hospitalization status, the occurrence of death, race/ethnicity, and presence of underlying medical conditions. The highest rates of cases, hospitalizations, and deaths were concentrated in communities of color, high-poverty areas, and among persons aged ≥75 years or with underlying conditions. The crude fatality rate was 9.2% overall and 32.1% among hospitalized patients. Using these data to prevent additional infections among NYC residents during subsequent waves of the pandemic, particularly among those at highest risk for hospitalization and death, is critical. Mitigating COVID-19 transmission among vulnerable groups at high risk for hospitalization and death is an urgent priority. Similar to NYC, other jurisdictions might find the use of supplementary information sources valuable in their efforts to prevent COVID-19 infections.

The initial phase of the SARS-CoV-2 pandemic in the United States saw rapidly-rising patient volumes along with shortages in personnel, equipment, and intensive care unit (ICU) beds across many New York City hospitals. As our hospital wards quickly filled with unstable, hypoxemic patients, our hospitalist group was forced to fundamentally rethink the way we triaged and managed cases of hypoxemic respiratory failure. Here, we describe the oxygenation protocol we developed and implemented in response to changing norms for acuity on inpatient wards. By reflecting on lessons learned, we re-evaluate the applicability of these oxygenation strategies in the evolving pandemic. We hope to impart to other providers the insights we gained with the challenges of management reasoning in COVID-19.

DESCRIPTION/UNASSIGNED:In June 2020, the U.S. Department of Veterans Affairs (VA) and U.S. Department of Defense (DoD) released a joint update of their clinical practice guideline for managing dyslipidemia to reduce cardiovascular disease risk in adults. This synopsis describes the major recommendations. METHODS/UNASSIGNED:On 6 August to 9 August 2019, the VA/DoD Evidence-Based Practice Work Group (EBPWG) convened a joint VA/DoD guideline development effort that included clinical stakeholders and conformed to the Institute of Medicine's tenets for trustworthy clinical practice guidelines. The guideline panel developed key questions, systematically searched and evaluated the literature (English-language publications from 1 December 2013 to 16 May 2019), and developed 27 recommendations and a simple 1-page algorithm. The recommendations were graded by using the GRADE (Grading of Recommendations Assessment, Development and Evaluation) system. RECOMMENDATIONS/UNASSIGNED:This synopsis summarizes key features of the guideline in 7 crucial areas: targeting of statin dose (not low-density lipoprotein cholesterol goals), additional tests for risk prediction, primary and secondary prevention, laboratory testing, physical activity, and nutrition.