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Acute respiratory distress syndrome after SARS-CoV-2 infection on young adult population: International observational federated study based on electronic health records through the 4CE consortium.
Moal, Bertrand; Orieux, Arthur; Ferté, Thomas; Neuraz, Antoine; Brat, Gabriel A; Avillach, Paul; Bonzel, Clara-Lea; Cai, Tianxi; Cho, Kelly; Cossin, Sébastien; Griffier, Romain; Hanauer, David A; Haverkamp, Christian; Ho, Yuk-Lam; Hong, Chuan; Hutch, Meghan R; Klann, Jeffrey G; Le, Trang T; Loh, Ne Hooi Will; Luo, Yuan; Makoudjou, Adeline; Morris, Michele; Mowery, Danielle L; Olson, Karen L; Patel, Lav P; Samayamuthu, Malarkodi J; Sanz Vidorreta, Fernando J; Schriver, Emily R; Schubert, Petra; Verdy, Guillaume; Visweswaran, Shyam; Wang, Xuan; Weber, Griffin M; Xia, Zongqi; Yuan, William; Zhang, Harrison G; Zöller, Daniela; Kohane, Isaac S; Boyer, Alexandre; Jouhet, Vianney.
  • Moal B; IAM Unit, Bordeaux University Hospital, Bordeaux, France.
  • Orieux A; Medical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France.
  • Ferté T; Inserm Bordeaux Population Health Research Center UMR 1219, Inria BSO, Team SISTM, University of Bordeaux, Bordeaux, France.
  • Neuraz A; Department of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France.
  • Brat GA; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Avillach P; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Bonzel CL; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cai T; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Cho K; Population Health and Data Science, MAVERIC, VA Boston Healthcare System, Boston, Massachusetts, United States of America.
  • Cossin S; INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France.
  • Griffier R; Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Hanauer DA; IAM Unit, INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France.
  • Haverkamp C; Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, United States of America.
  • Ho YL; Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Hong C; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Hutch MR; Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America.
  • Klann JG; Department of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America.
  • Le TT; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Loh NHW; Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
  • Luo Y; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Makoudjou A; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
  • Morris M; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Mowery DL; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Olson KL; Department of Anaesthesia, National University Health System, Singapore, Singapore.
  • Patel LP; Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
  • Samayamuthu MJ; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Sanz Vidorreta FJ; Computational Health Informatics Program, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Schriver ER; Department of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, United States of America.
  • Schubert P; Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
  • Verdy G; IAM Unit, Bordeaux University Hospital, Bordeaux, France.
  • Visweswaran S; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Wang X; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Weber GM; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Xia Z; Data Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States of America.
  • Yuan W; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Zhang HG; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Zöller D; Department of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.
  • Kohane IS; Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
  • Boyer A; Medical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France.
  • Jouhet V; Institute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
PLoS One ; 18(1): e0266985, 2023.
Article in English | MEDLINE | ID: covidwho-2196885
ABSTRACT

PURPOSE:

In young adults (18 to 49 years old), investigation of the acute respiratory distress syndrome (ARDS) after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has been limited. We evaluated the risk factors and outcomes of ARDS following infection with SARS-CoV-2 in a young adult population.

METHODS:

A retrospective cohort study was conducted between January 1st, 2020 and February 28th, 2021 using patient-level electronic health records (EHR), across 241 United States hospitals and 43 European hospitals participating in the Consortium for Clinical Characterization of COVID-19 by EHR (4CE). To identify the risk factors associated with ARDS, we compared young patients with and without ARDS through a federated analysis. We further compared the outcomes between young and old patients with ARDS.

RESULTS:

Among the 75,377 hospitalized patients with positive SARS-CoV-2 PCR, 1001 young adults presented with ARDS (7.8% of young hospitalized adults). Their mortality rate at 90 days was 16.2% and they presented with a similar complication rate for infection than older adults with ARDS. Peptic ulcer disease, paralysis, obesity, congestive heart failure, valvular disease, diabetes, chronic pulmonary disease and liver disease were associated with a higher risk of ARDS. We described a high prevalence of obesity (53%), hypertension (38%- although not significantly associated with ARDS), and diabetes (32%).

CONCLUSION:

Trough an innovative method, a large international cohort study of young adults developing ARDS after SARS-CoV-2 infection has been gather. It demonstrated the poor outcomes of this population and associated risk factor.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0266985

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Respiratory Distress Syndrome / COVID-19 Type of study: Cohort study / Experimental Studies / Observational study / Prognostic study Topics: Long Covid Limits: Adolescent / Adult / Aged / Humans / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2023 Document Type: Article Affiliation country: Journal.pone.0266985