Evidence map›Paper›PMID 36598895›Full record

ArticlePloS one2023

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.

Bertrand Moal, Arthur Orieux, Thomas Ferté, Antoine Neuraz, Gabriel A Brat, Paul Avillach, Clara-Lea Bonzel, Tianxi Cai, Kelly Cho, Sébastien Cossin and 31 more

Open access · goldAbstract read
PubMed Publisher
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Lab results of COVID-19 patients: OmicronWorld journal of virology · 2024
    Article
  6. Article
  7. SARS-CoV-2 vaccines and myocarditis.Clinical medicine (London, England) · 2023
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

41 authors at 16 institutions in 4 countries.

Bertrand MoalIAM Unit, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0001-9197-721X
Arthur OrieuxMedical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0001-5680-8701
Thomas FertéInserm Bordeaux Population Health Research Center UMR 1219, Inria BSO, Team SISTM, University of Bordeaux, Bordeaux, France.
Antoine NeurazDepartment of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris (APHP), University of Paris, Paris, France.
Gabriel A BratDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-0235-7543
Clara-Lea BonzelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Tianxi CaiDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Kelly ChoPopulation Health and Data Science, MAVERIC, VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Sébastien CossinINSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France.
Romain GriffierInstitute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-1096-137X
David A HanauerIAM Unit, INSERM Bordeaux Population Health ERIAS TEAM, Bordeaux University Hospital / ERIAS - Inserm U1219 BPH, Bordeaux, France.ORCID 0000-0001-6931-3791
Christian HaverkampDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, United States of America.ORCID 0000-0001-8165-4783
Yuk-Lam HoInstitute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Chuan HongDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Meghan R HutchMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Jeffrey G KlannDepartment of Preventive Medicine, Northwestern University, Chicago, Illinois, United States of America.ORCID 0000-0003-2043-1601
Trang T LeDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0003-3737-6565
Ne Hooi Will LohDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
Yuan LuoInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Adeline MakoudjouDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America.
Michele MorrisDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Danielle L MoweryDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Karen L OlsonDepartment of Anaesthesia, National University Health System, Singapore, Singapore.
Lav P PatelInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Malarkodi J SamayamuthuDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Fernando J Sanz VidorretaComputational Health Informatics Program, Boston Children's Hospital, Department of Pediatrics, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0001-7165-0949
Emily R SchriverDepartment of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, United States of America.
Petra SchubertDepartment of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.ORCID 0000-0002-6135-0173
Guillaume VerdyIAM Unit, Bordeaux University Hospital, Bordeaux, France.
Shyam VisweswaranDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.ORCID 0000-0002-2079-8684
Xuan WangDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Griffin M WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Zongqi XiaData Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, United States of America.
William YuanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Harrison G ZhangDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Daniela ZöllerDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0001-9929-7403
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, United States of America.
Consortium for Clinical Characterization of COVID-19 by EHR (4CE)
Alexandre BoyerMedical Intensive Care Unit, Bordeaux University Hospital, Bordeaux, France.
Vianney JouhetInstitute of Digitalization in Medicine, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-5272-2265
Harvard University · USUniversity of Freiburg · DEInserm · FRVA Boston Healthcare System · USBoston Children's Hospital · USHôpital Necker-Enfants Malades · FRMassachusetts General Hospital · USNational University Health System · SGNorthwestern University · USUniversité de Bordeaux · FRUniversity of California, Los Angeles · USUniversity of Kansas Medical Center · USUniversity of Michigan · USUniversity of Pennsylvania · USUniversity of Pennsylvania Health System · USUniversity of Pittsburgh · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
UCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1M
Phenotypic Diversity in COVID-19UL1TR001878 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2016 to 2025
$102.4M
The Harvard Clinical and Translational Science CenterUL1TR002541 · NCATS · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2018 to 2022
$93.0M
Michigan Institute for Clinical and Health Research (MICHR)UL1TR002240 · NCATS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUMENG, JULIE C, MASHOUR, GEORGE ALEXANDER · 2017 to 2022
$54.9M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
RADx-UP: Improving the Response of Local Urban and Rural Communities to Disparities in Covid-19 TestingUL1TR002366 · NCATS · UNIVERSITY OF KANSAS MEDICAL CENTER · PI Mario Castro, JAMES STEVEN LEEDER · 2017 to 2026
$44.3M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and LearningU01TR003528 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI CIMINO, JAMES J, LUO, YUAN · 2021 to 2024
$4.9M
Leveraging electronic health records to optimize treatment selection and response in multiple sclerosisR01NS098023 · NINDS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Zongqi Xia · 2016 to 2026
$4.6M
Development and Evaluation of a Learning Electronic Medical Record SystemR01LM012095 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VISWESWARAN, SHYAM · 2015 to 2018
$1.8M
British Heart Foundation FS/19/52/34563NCATS NIH HHS U01 TR003528NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001857NCATS NIH HHS UL1 TR001878NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR002240NCATS NIH HHS UL1 TR002366NCATS NIH HHS UL1 TR002541NHGRI NIH HHS U01 HG008685NHLBI NIH HHS K23 HL148394NHLBI NIH HHS L40 HL148910NINDS NIH HHS R01 NS098023NINDS NIH HHS R01 NS124882NLM NIH HHS R01 LM012095NLM NIH HHS R01 LM013337NLM NIH HHS R01 LM013345
6 · The paper itself

Abstract

purposeIn 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.

methodsA 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.

resultsAmong 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%).

conclusionTrough 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.

Indexed as

COVID-19Respiratory Distress SyndromeAdolescentAdultAgedCohort StudiesElectronic Health RecordsHumansMiddle AgedObesityRetrospective StudiesSARS-CoV-2Young Adult

Identifiers

PMID36598895
OpenAlexW4313544506

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.