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Original research
Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records

Authors

  • Zichen Wang Sema4, Stamford, Connecticut, USA PubMed articlesGoogle scholar articles
  • Amanda Zheutlin Sema4, Stamford, Connecticut, USA PubMed articlesGoogle scholar articles
  • Yu-Han Kao Sema4, Stamford, Connecticut, USA PubMed articlesGoogle scholar articles
  • Kristin Ayers Sema4, Stamford, Connecticut, USA PubMed articlesGoogle scholar articles
  • Susan Gross Sema4, Stamford, Connecticut, USADepartment of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Patricia Kovatch Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Sharon Nirenberg Mount Sinai Data Warehouse, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Alexander Charney Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Girish Nadkarni The Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Jessica K De Freitas Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Paul O’Reilly Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Allan Just Institute for Exposomic Research, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Carol Horowitz Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USADepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Glenn Martin Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Andrea Branch Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Benjamin S Glicksberg Department of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Pamela Sklar Division of Psychiatric Genomics, Icahn School of Medicine at Mount Sinai, New York, New York, USAThe Hasso Plattner Institute for Digital Health at the Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Dennis Charney The Office of the Dean, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • David Reich Department of Anesthesiology, Perioperative and Pain Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • William K Oh Tisch Cancer Institute and Division of Hematology and Medical Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Eric Schadt Sema4, Stamford, Connecticut, USADepartment of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Rong Chen Sema4, Stamford, Connecticut, USADepartment of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  • Li Li Sema4, Stamford, Connecticut, USADepartment of Genetics and Genomic Sciences, The Icahn Institute for Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, New York, USA PubMed articlesGoogle scholar articles
  1. Correspondence to Dr Li Li; li.li{at}mssm.edu
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Citation

Wang Z, Zheutlin A, Kao Y, et al
Hospitalised COVID-19 patients of the Mount Sinai Health System: a retrospective observational study using the electronic medical records
BMJ Open 2020;10:e040441. doi: 10.1136/bmjopen-2020-040441

Publication history

  • Received May 20, 2020
  • Revised September 28, 2020
  • Accepted October 7, 2020
  • First published October 26, 2020.
Online issue publication 
October 26, 2020
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© Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.