Logotipo do repositório
 

Publicação:
International changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: Retrospective cohort study

dc.contributor.authorWeber, Griffin M.
dc.contributor.authorZhang, Harrison G.
dc.contributor.authorL'Yi, Sehi
dc.contributor.authorBonzel, Clara-Lea
dc.contributor.authorHong, Chuan
dc.contributor.authorAvillach, Paul
dc.contributor.authorGutiérrez-Sacristán, Alba
dc.contributor.authorPalmer, Nathan P.
dc.contributor.authorTan, Amelia Li Min
dc.contributor.authorWang, Xuan
dc.contributor.authorYuan, William
dc.contributor.authorGehlenborg, Nils
dc.contributor.authorAlloni, Anna
dc.contributor.authorAmendola, Danilo F. [UNESP]
dc.contributor.authorBellasi, Antonio
dc.contributor.authorBellazzi, Riccardo
dc.contributor.authorBeraghi, Michele
dc.contributor.authorBucalo, Mauro
dc.contributor.authorChiovato, Luca
dc.contributor.authorCho, Kelly
dc.contributor.authorDagliati, Arianna
dc.contributor.authorEstiri, Hossein
dc.contributor.authorFollett, Robert W.
dc.contributor.authorBarrio, Noelia García
dc.contributor.authorHanauer, David A.
dc.contributor.authorHenderson, Darren W.
dc.contributor.authorHo, Yuk-Lam
dc.contributor.authorHolmes, John H.
dc.contributor.authorHutch, Meghan R.
dc.contributor.authorKavuluru, Ramakanth
dc.contributor.authorKirchoff, Katie
dc.contributor.authorKlann, Jeffrey G.
dc.contributor.authorKrishnamurthy, Ashok K.
dc.contributor.authorLe, Trang T.
dc.contributor.authorLiu, Molei
dc.contributor.authorLoh, Ne Hooi Will
dc.contributor.authorLozano-Zahonero, Sara
dc.contributor.authorLuo, Yuan
dc.contributor.authorMaidlow, Sarah
dc.contributor.authorMakoudjou, Adeline
dc.contributor.authorMalovini, Alberto
dc.contributor.authorMartins, Marcelo Roberto [UNESP]
dc.contributor.authorMoal, Bertrand
dc.contributor.authorMorris, Michele
dc.contributor.authorMowery, Danielle L.
dc.contributor.authorMurphy, Shawn N.
dc.contributor.authorNeuraz, Antoine
dc.contributor.authorNgiam, Kee Yuan
dc.contributor.authorOkoshi, Marina P. [UNESP]
dc.contributor.authorOmenn, Gilbert S.
dc.contributor.authorPatel, Lav P.
dc.contributor.authorJiménez, Miguel Pedrera
dc.contributor.authorPrudente, Robson A. [UNESP]
dc.contributor.authorSamayamuthu, Malarkodi Jebathilagam
dc.contributor.authorSanz Vidorreta, Fernando J.
dc.contributor.authorSchriver, Emily R.
dc.contributor.authorSchubert, Petra
dc.contributor.authorBalazote, Pablo Serrano
dc.contributor.authorTan, Byorn W.L.
dc.contributor.authorTanni, Suzana E. [UNESP]
dc.contributor.authorTibollo, Valentina
dc.contributor.authorVisweswaran, Shyam
dc.contributor.authorWagholikar, Kavishwar B.
dc.contributor.authorXia, Zongqi
dc.contributor.authorZöller, Daniela
dc.contributor.authorKohane, Isaac S.
dc.contributor.authorCai, Tianxi
dc.contributor.authorSouth, Andrew M.
dc.contributor.authorBrat, Gabriel A.
dc.contributor.institutionHarvard Medical School
dc.contributor.institutionBIOMERIS (BIOMedical Research Informatics Solutions)
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionEnte Ospedaliero Cantonale
dc.contributor.institutionUniversity of Pavia
dc.contributor.institutionAzienda Socio-Sanitaria Territoriale di Pavia
dc.contributor.institutionIstituti Clinici Scientifici Maugeri SpA SB IRCCS
dc.contributor.institutionVeterans Affairs Boston Healthcare System
dc.contributor.institutionMassachusetts General Hospital
dc.contributor.institutionLos Angeles
dc.contributor.institutionHospital Universitario 12 de Octubre
dc.contributor.institutionUniversity of Michigan Medical School
dc.contributor.institutionUniversity of Kentucky
dc.contributor.institutionUniversity of Pennsylvania Perelman School of Medicine
dc.contributor.institutionNorthwestern University
dc.contributor.institutionMedical University of South Carolina
dc.contributor.institutionUniversity of North Carolina at Chapel Hill
dc.contributor.institutionHarvard T.H. Chan School of Public Health
dc.contributor.institutionNational University Health System
dc.contributor.institutionUniversity of Freiburg
dc.contributor.institutionUniversity of Michigan
dc.contributor.institutionBordeaux University Hospital
dc.contributor.institutionUniversity of Pittsburgh
dc.contributor.institutionUniversity of Paris
dc.contributor.institutionUniversity of Kansas Medical Center
dc.contributor.institutionUniversity of Pennsylvania Health System
dc.contributor.institutionWake Forest School of Medicine
dc.date.accessioned2022-04-29T08:35:26Z
dc.date.available2022-04-29T08:35:26Z
dc.date.issued2021-10-01
dc.description.abstractBackground: Many countries have experienced 2 predominant waves of COVID-19–related hospitalizations. Comparing the clinical trajectories of patients hospitalized in separate waves of the pandemic enables further understanding of the evolving epidemiology, pathophysiology, and health care dynamics of the COVID-19 pandemic. Objective: In this retrospective cohort study, we analyzed electronic health record (EHR) data from patients with SARS-CoV-2 infections hospitalized in participating health care systems representing 315 hospitals across 6 countries. We compared hospitalization rates, severe COVID-19 risk, and mean laboratory values between patients hospitalized during the first and second waves of the pandemic. Methods: Using a federated approach, each participating health care system extracted patient-level clinical data on their first and second wave cohorts and submitted aggregated data to the central site. Data quality control steps were adopted at the central site to correct for implausible values and harmonize units. Statistical analyses were performed by computing individual health care system effect sizes and synthesizing these using random effect meta-analyses to account for heterogeneity. We focused the laboratory analysis on C-reactive protein (CRP), ferritin, fibrinogen, procalcitonin, D-dimer, and creatinine based on their reported associations with severe COVID-19. Results: Data were available for 79,613 patients, of which 32,467 were hospitalized in the first wave and 47,146 in the second wave. The prevalence of male patients and patients aged 50 to 69 years decreased significantly between the first and second waves. Patients hospitalized in the second wave had a 9.9% reduction in the risk of severe COVID-19 compared to patients hospitalized in the first wave (95% CI 8.5%-11.3%). Demographic subgroup analyses indicated that patients aged 26 to 49 years and 50 to 69 years; male and female patients; and black patients had significantly lower risk for severe disease in the second wave than in the first wave. At admission, the mean values of CRP were significantly lower in the second wave than in the first wave. On the seventh hospital day, the mean values of CRP, ferritin, fibrinogen, and procalcitonin were significantly lower in the second wave than in the first wave. In general, countries exhibited variable changes in laboratory testing rates from the first to the second wave. At admission, there was a significantly higher testing rate for D-dimer in France, Germany, and Spain. Conclusions: Patients hospitalized in the second wave were at significantly lower risk for severe COVID-19. This corresponded to mean laboratory values in the second wave that were more likely to be in typical physiological ranges on the seventh hospital day compared to the first wave. Our federated approach demonstrated the feasibility and power of harmonizing heterogeneous EHR data from multiple international health care systems to rapidly conduct large-scale studies to characterize how COVID-19 clinical trajectories evolve.en
dc.description.affiliationDepartment of Biomedical Informatics Harvard Medical School
dc.description.affiliationBIOMERIS (BIOMedical Research Informatics Solutions)
dc.description.affiliationClinical Research Unit Botucatu Medical School São Paulo State University
dc.description.affiliationDivision of Nephrology Department of Medicine Ente Ospedaliero Cantonale
dc.description.affiliationDepartment of Electrical Computer and Biomedical Engineering University of Pavia
dc.description.affiliationInformation Technology Department Azienda Socio-Sanitaria Territoriale di Pavia
dc.description.affiliationUnit of Internal Medicine and Endocrinology Istituti Clinici Scientifici Maugeri SpA SB IRCCS
dc.description.affiliationMassachusetts Veterans Epidemiology Research and Information Center Veterans Affairs Boston Healthcare System
dc.description.affiliationDepartment of Medicine Massachusetts General Hospital
dc.description.affiliationDepartment of Medicine David Geffen School of Medicine University of California Los Angeles
dc.description.affiliationHealth Informatics Hospital Universitario 12 de Octubre
dc.description.affiliationDepartment of Learning Health Sciences University of Michigan Medical School
dc.description.affiliationDepartment of Biomedical Informatics University of Kentucky
dc.description.affiliationDepartment of Biostatistics Epidemiology and Informatics University of Pennsylvania Perelman School of Medicine
dc.description.affiliationInstitute for Biomedical Informatics University of Pennsylvania Perelman School of Medicine
dc.description.affiliationDepartment of Preventive Medicine Northwestern University
dc.description.affiliationInstitute for Biomedical Informatics University of Kentucky
dc.description.affiliationMedical University of South Carolina
dc.description.affiliationDepartment of Computer Science Renaissance Computing Institute University of North Carolina at Chapel Hill
dc.description.affiliationDepartment of Biostatistics Harvard T.H. Chan School of Public Health
dc.description.affiliationDepartment of Anaesthesia National University Health System
dc.description.affiliationInstitute of Medical Biometry and Statistics Faculty of Medicine and Medical Center University of Freiburg
dc.description.affiliationMichigan Institute for Clinical & Health Research Informatics University of Michigan
dc.description.affiliationLaboratory of Informatics and Systems Engineering for Clinical Research Istituti Clinici Scientifici Maugeri SpA SB IRCCS
dc.description.affiliationClinical Hospital of Botucatu Medical School São Paulo State University
dc.description.affiliationInformatique et Archivistique Médicales Unit Bordeaux University Hospital
dc.description.affiliationDepartment of Biomedical Informatics University of Pittsburgh
dc.description.affiliationDepartment of Neurology Massachusetts General Hospital
dc.description.affiliationDepartment of Biomedical Informatics Hôpital Necker-Enfants Malade Assistance Publique Hôpitaux de Paris University of Paris
dc.description.affiliationDepartment of Biomedical Informatics Institute for Digital Medicine National University Health System
dc.description.affiliationInternal Medicine Department Botucatu Medical School São Paulo State University
dc.description.affiliationDepartment of Computational Medicine & Bioinformatics Internal Medicine Human Genetics and Public Health University of Michigan
dc.description.affiliationDivision of Medical Informatics Department of Internal Medicine University of Kansas Medical Center
dc.description.affiliationData Analytics Center University of Pennsylvania Health System
dc.description.affiliationDepartment of Medicine National University Health System
dc.description.affiliationDepartment of Neurology University of Pittsburgh
dc.description.affiliationSection of Nephrology Department of Pediatrics Brenner Children's Hospital Wake Forest School of Medicine
dc.description.affiliationUnespClinical Research Unit Botucatu Medical School São Paulo State University
dc.description.affiliationUnespClinical Hospital of Botucatu Medical School São Paulo State University
dc.description.affiliationUnespInternal Medicine Department Botucatu Medical School São Paulo State University
dc.description.sponsorshipNational Human Genome Research Institute
dc.description.sponsorshipNational Center for Advancing Translational Sciences
dc.description.sponsorshipNational Heart, Lung, and Blood Institute
dc.description.sponsorshipNational Institutes of Health
dc.description.sponsorshipU.S. National Library of Medicine
dc.description.sponsorshipNational Institute of Neurological Disorders and Stroke
dc.description.sponsorshipCanadian Thoracic Society
dc.description.sponsorshipIdNational Human Genome Research Institute: 3U01HG008685-05S2
dc.description.sponsorshipIdNational Human Genome Research Institute: 5R01HG009174-04
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: 5UL1TR001857-05
dc.description.sponsorshipIdNational Heart, Lung, and Blood Institute: K23HL148394
dc.description.sponsorshipIdNational Heart, Lung, and Blood Institute: L40HL148910
dc.description.sponsorshipIdNational Institutes of Health: P30ES017885
dc.description.sponsorshipIdU.S. National Library of Medicine: R01LM012095
dc.description.sponsorshipIdU.S. National Library of Medicine: R01LM013345
dc.description.sponsorshipIdNational Institute of Neurological Disorders and Stroke: R01NS098023
dc.description.sponsorshipIdU.S. National Library of Medicine: T15LM007092
dc.description.sponsorshipIdNational Institutes of Health: U24CA210967
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR000005
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR001420
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR001450
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR001857
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR001878
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR001881
dc.description.sponsorshipIdCanadian Thoracic Society: UL1TR001998
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR002240
dc.description.sponsorshipIdCanadian Thoracic Society: UL1TR002366
dc.description.sponsorshipIdNational Center for Advancing Translational Sciences: UL1TR002541
dc.identifierhttp://dx.doi.org/10.2196/31400
dc.identifier.citationJournal of Medical Internet Research, v. 23, n. 10, 2021.
dc.identifier.doi10.2196/31400
dc.identifier.issn1438-8871
dc.identifier.scopus2-s2.0-85117168924
dc.identifier.urihttp://hdl.handle.net/11449/229709
dc.language.isoeng
dc.relation.ispartofJournal of Medical Internet Research
dc.sourceScopus
dc.subjectCOVID-19
dc.subjectElectronic health records
dc.subjectFederated study
dc.subjectLaboratory trajectory
dc.subjectMeta-analysis
dc.subjectRetrospective cohort study
dc.subjectSARS-CoV-2
dc.subjectSevere COVID-19
dc.titleInternational changes in COVID-19 clinical trajectories across 315 hospitals and 6 countries: Retrospective cohort studyen
dc.typeArtigo
dspace.entity.typePublication
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Medicina, Botucatupt
unesp.departmentClínica Médica - FMBpt

Arquivos