Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records. Issue 10 (26th October 2020)

• Record Type: Journal Article
• Authors: Wang, Zichen; Zheutlin, Amanda; Kao, Yu-Han; Ayers, Kristin; Gross, Susan; Kovatch, Patricia; Nirenberg, Sharon; Charney, Alexander; Nadkarni, Girish; De Freitas, Jessica K; O'Reilly, Paul; Just, Allan; Horowitz, Carol; Martin, Glenn; Branch, Andrea; Glicksberg, Benjamin S; Charney, Dennis; Reich, David; Oh, William K; Schadt, Eric; Chen, Rong; Li, Li
• Is Part Of: BMJ open. Volume 10:Issue 10(2020)
• Publication Date: 2020-10-26
• Subjects: health informatics -- epidemiology -- infectious diseases -- COVID-19; Medicine -- Research -- Periodicals; 610.72
• DOI: 10.1136/bmjopen-2020-040441
• Languages: English
• ISSNs: 2044-6055

Abstract

Abstract : Objective: To assess association of clinical features on COVID-19 patient outcomes. Design: Retrospective observational study using electronic medical record data. Setting: Five member hospitals from the Mount Sinai Health System in New York City (NYC). Participants: 28 336 patients tested for SARS-CoV-2 from 24 February 2020 to 15 April 2020, including 6158 laboratory-confirmed COVID-19 cases. Main outcomes and measures: Positive test rates and in-hospital mortality were assessed for different racial groups. Among positive cases admitted to the hospital (N=3273), we estimated HR for both discharge and death across various explanatory variables, including patient demographics, hospital site and unit, smoking status, vital signs, lab results and comorbidities. Results: Hispanics (29%) and African Americans (25%) had disproportionately high positive case rates relative to their representation in the overall NYC population (p<0.05); however, no differences in mortality rates were observed in hospitalised patients based on race. Outcomes differed significantly between hospitals (Gray's T=248.9; p<0.05), reflecting differences in average baseline age and underlying comorbidities. Significant risk factors for mortality included age (HR 1.05, 95% CI 1.04 to 1.06; p=1.15e-32), oxygen saturation (HR 0.985, 95% CI 0.982 to 0.988; p=1.57e-17), care in intensive care unit areas (HR 1.58, 95% CI 1.29 to 1.92; p=7.81e-6) and elevated creatinine (HR 1.75, 95% CI 1.47 to 2.10; p=7.48e-10), white cell count (HR 1.02, 95% CI 1.01 to 1.04; p=8.4e-3) and body mass index (BMI) (HR 1.02, 95% CI 1.00 to 1.03; p=1.09e-2). Deceased patients were more likely to have elevated markers of inflammation. Conclusions: While race was associated with higher risk of infection, we did not find racial disparities in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. In addition, we identified key clinical features associated with reduced mortality and discharge. These findings could help to identify which COVID-19 patients are at greatest risk of a severe infection response and predict survival.