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Analysis of hospitalized COVID-19 patients in the Mount Sinai Health System using electronic medical records (EMR) reveals important prognostic factors for improved clinical outcomes
Zichen Wang; Amanda B Zheutlin; Yu-Han Kao; Kristin L Ayers; Susan J Gross; Patricia Kovatch; Sharon Nirenberg; Alexander W Charney; Girish N Nadkarni; Paul F O'Reilly; Allan C Just; Carol R Horowitz; Glenn Martin; Andrea D Branch; Benjamin S Glicksberg; Dennis S Charney; David L Reich; William K Oh; Eric E Schadt; Rong Chen; Li Li.
Afiliação
  • Zichen Wang; Sema4
  • Amanda B Zheutlin; Sema4
  • Yu-Han Kao; Sema4
  • Kristin L Ayers; Sema4
  • Susan J Gross; Sema4; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
  • Patricia Kovatch; Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai
  • Sharon Nirenberg; Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai
  • Alexander W Charney; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, The Pamela Sklar Division of Psychiatric Genomics, The Dep
  • Girish N Nadkarni; The Hasso Plattner Institute for Digital Health at the Mount Sinai, Department of Medicine, The Charles Bronfman Institute for Personalized Medicine, Icahn Scho
  • Paul F O'Reilly; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, The Pamela Sklar Division of Psychiatric Genomics, The Dep
  • Allan C Just; Institute for Exposomic Research, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai
  • Carol R Horowitz; Department of Medicine, Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai
  • Glenn Martin; The Department of Psychiatry, Icahn School of Medicine at Mount Sinai
  • Andrea D Branch; Department of Medicine, Icahn School of Medicine at Mount Sinai
  • Benjamin S Glicksberg; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, The Pamela Sklar Division of Psychiatric Genomics, The Has
  • Dennis S Charney; The Office of the Dean, Icahn School of Medicine at Mount Sinai
  • David L Reich; Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai
  • William K Oh; Tisch Cancer Institute and Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai
  • Eric E Schadt; Sema4; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
  • Rong Chen; Sema4; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
  • Li Li; Sema4; Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20075788
ABSTRACT
ImportanceThere is an urgent need to understand patient characteristics of having COVID-19 disease and evaluate markers of critical illness and mortality. ObjectiveTo assess association of clinical features on patient outcomes. Design, Setting, and ParticipantsIn this observational case series, patient-level data were extracted from electronic medical records for 28,336 patients tested for SARS-CoV-2 at the Mount Sinai Health System from 2/24/ to 4/15/2020, including 6,158 laboratory-confirmed cases. ExposuresConfirmed COVID-19 diagnosis by RT-PCR assay from nasal swabs. Main Outcomes and MeasuresEffects of race on positive test rates and mortality were assessed. Among positive cases admitted to the hospital (N = 3,273), effects of patient demographics, hospital site and unit, social behavior, vital signs, lab results, and disease comorbidities on discharge and death were estimated. ResultsHispanics (29%) and African Americans (25%) had disproportionately high positive case rates relative to population base rates (p<2e-16); however, no differences in mortality rates were observed in the hospital. Outcome differed significantly between hospitals (Grays T=248.9; p<2e-16), reflecting differences in average baseline age and underlying comorbidities. Significant risk factors for mortality included age (HR=1.05 [95% CI, 1.04-1.06]; p=1.15e-32), oxygen saturation (HR=0.985 [95% CI, 0.982-0.988]; p=1.57e-17), care in ICU areas (HR=1.58 [95% CI, 1.29-1.92]; p=7.81e-6), and elevated creatinine (HR=1.75 [95% CI, 1.47-2.10]; p=7.48e-10), alanine aminotransferase (ALT) (HR=1.002, [95% CI 1.001-1.003]; p=8.86e-5) white blood cell (WBC) (HR=1.02, [95% CI 1.01-1.04]; p=8.4e-3) and body-mass index (BMI) (HR=1.02, [95% CI 1.00-1.03]; p=1.09e-2). Asthma (HR=0.78 [95% CI, 0.62-0.98]; p=0.031) was significantly associated with increased length of hospital stay, but not mortality. Deceased patients were more likely to have elevated markers of inflammation. Baseline age, BMI, oxygen saturation, respiratory rate, WBC count, creatinine, and ALT were significant prognostic indicators of mortality. Conclusions and RelevanceWhile race was associated with higher risk of infection, we did not find a racial disparity in inpatient mortality suggesting that outcomes in a single tertiary care health system are comparable across races. We identified clinical features associated with reduced mortality and discharge. These findings could help to identify which COVID-19 patients are at greatest risk and evaluate the impact on survival.
Licença
cc_by_nc_nd
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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