Evidence map›Paper›PMID 34533459›Full record

ArticleJournal of medical Internet research2021

International Changes in COVID-19 Clinical Trajectories Across 315 Hospitals and 6 Countries: Retrospective Cohort Study.

Griffin M Weber, Harrison G Zhang, Sehi L'Yi, Clara-Lea Bonzel, Chuan Hong, Paul Avillach, Alba Gutiérrez-Sacristán, Nathan P Palmer, Amelia Li Min Tan, Xuan Wang and 60 more

Erratum issuedAbstract read
In one paragraph

Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Article
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  7. Post-COVID-19 syndrome: Cardiovascular manifestations.International journal of cardiology · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Research data warehouse best practices: catalyzing national data sharing through informatics innovation.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  14. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

70 authors.

Griffin M Weber *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-2597-881X
Harrison G Zhang *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-6679-1464
Sehi L'Yi *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-7720-2848
Clara-Lea BonzelDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-5238-1413
Chuan HongDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0001-7056-9559
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-0235-7543
Alba Gutiérrez-SacristánDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-1245-198X
Nathan P PalmerDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-4361-207X
Amelia Li Min TanDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-0623-6623
Xuan WangDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-0011-5663
William YuanDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-2682-0416
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-0327-8297
Anna AlloniBIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy.ORCID 0000-0003-4708-4822
Danilo F AmendolaClinical Research Unit, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.ORCID 0000-0002-7812-5079
Antonio BellasiDivision of Nephrology, Department of Medicine, Ente Ospedaliero Cantonale, Lugano, Switzerland.ORCID 0000-0001-7830-1645
Riccardo BellazziDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID 0000-0002-6974-9808
Michele BeraghiInformation Technology Department, Azienda Socio-Sanitaria Territoriale di Pavia, Pavia, Italy.ORCID 0000-0003-2709-058X
Mauro BucaloBIOMERIS (BIOMedical Research Informatics Solutions), Pavia, Italy.ORCID 0000-0002-0407-6120
Luca ChiovatoUnit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy.ORCID 0000-0001-7457-7353
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States.ORCID 0000-0003-1727-7076
Arianna DagliatiDepartment of Electrical Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.ORCID 0000-0002-5041-0409
Hossein EstiriDepartment of Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-0204-8978
Robert W FollettDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0003-1618-2817
Noelia García BarrioHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.ORCID 0000-0002-2789-8426
David A HanauerDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, MI, United States.ORCID 0000-0001-6931-3791
Darren W HendersonDepartment of Biomedical Informatics, University of Kentucky, Lexington, KY, United States.ORCID 0000-0001-6198-1912
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States.ORCID 0000-0003-3305-3830
John H HolmesDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID 0000-0003-2167-3602
Meghan R HutchDepartment of Preventive Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0001-8130-9429
Ramakanth KavuluruInstitute for Biomedical Informatics, University of Kentucky, Lexington, KY, United States.ORCID 0000-0003-1238-9378
Katie KirchoffMedical University of South Carolina, Charleston, SC, United States.ORCID 0000-0002-9552-7176
Jeffrey G KlannDepartment of Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0003-2043-1601
Ashok K KrishnamurthyDepartment of Computer Science, Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.ORCID 0000-0002-3215-7622
Trang T LeDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID 0000-0003-3737-6565
Molei LiuDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States.ORCID 0000-0003-1890-4449
Ne Hooi Will LohDepartment of Anaesthesia, National University Health System, Singapore, Singapore.ORCID 0000-0002-4114-1286
Sara Lozano-ZahoneroInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-9467-0018
Yuan LuoDepartment of Preventive Medicine, Northwestern University, Chicago, IL, United States.ORCID 0000-0003-0195-7456
Sarah MaidlowMichigan Institute for Clinical & Health Research Informatics, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0003-4421-6834
Adeline MakoudjouInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0002-2496-7086
Alberto MaloviniLaboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy.ORCID 0000-0003-2857-5773
Marcelo Roberto MartinsClinical Hospital of Botucatu Medical School, São Paulo State University, Botucatu, Brazil.ORCID 0000-0001-8013-9632
Bertrand MoalInformatique et archivistique médicales unit, Bordeaux University Hospital, Bordeaux, France.ORCID 0000-0001-9197-721X
Michele MorrisDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-3255-5727
Danielle L MoweryDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, United States.ORCID 0000-0003-3802-4457
Shawn N MurphyDepartment of Neurology, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-1905-8806
Antoine NeurazDepartment of Biomedical Informatics, Hôpital Necker-Enfants Malade, Assistance Publique Hôpitaux de Paris, University of Paris, Paris, France.ORCID 0000-0001-7142-6728
Kee Yuan NgiamDepartment of Biomedical Informatics, Institute for Digital Medicine, National University Health System, Singapore, Singapore.ORCID 0000-0001-5676-2520
Marina P OkoshiInternal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.ORCID 0000-0001-7728-4505
Gilbert S OmennDepartment of Computational Medicine & Bioinformatics, Internal Medicine, Human Genetics, and Public Health, University of Michigan, Ann Arbor, MI, United States.ORCID 0000-0002-8976-6074
Lav P PatelDivision of Medical Informatics, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, KS, United States.ORCID 0000-0002-8626-137X
Miguel Pedrera JiménezHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.ORCID 0000-0003-0187-3826
Robson A PrudenteInternal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.ORCID 0000-0003-1175-1435
Malarkodi Jebathilagam SamayamuthuDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-0061-8196
Fernando J Sanz VidorretaDepartment of Medicine, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.ORCID 0000-0001-7165-0949
Emily R SchriverData Analytics Center, University of Pennsylvania Health System, Philadelphia, PA, United States.ORCID 0000-0003-4522-1029
Petra SchubertMassachusetts Veterans Epidemiology Research and Information Center, Veterans Affairs Boston Healthcare System, Boston, MA, United States.ORCID 0000-0002-6135-0173
Pablo Serrano BalazoteHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Spain.ORCID 0000-0003-2958-6319
Byorn Wl TanDepartment of Medicine, National University Health System, Singapore, Singapore.ORCID 0000-0002-1658-259X
Suzana E TanniInternal Medicine Department, Botucatu Medical School, São Paulo State University, Botucatu, Brazil.ORCID 0000-0002-2587-2759
Valentina TibolloLaboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Italy.ORCID 0000-0003-2687-3822
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0002-2079-8684
Kavishwar B WagholikarDepartment of Medicine, Massachusetts General Hospital, Boston, MA, United States.ORCID 0000-0002-6219-861X
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, PA, United States.ORCID 0000-0003-1500-2589
Daniela ZöllerInstitute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.ORCID 0000-0001-9929-7403
Consortium For Clinical Characterization Of COVID-19 By EHR (4CE)see Authors' Contributions, .
Isaac S KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-2192-5160
Tianxi Cai *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0002-5379-2502
Andrew M South *Section of Nephrology, Department of Pediatrics, Brenner Children's Hospital, Wake Forest School of Medicine, Winston Salem, NC, United States.ORCID 0000-0002-3204-4142
Gabriel A Brat *Department of Biomedical Informatics, Harvard Medical School, Boston, MA, United States.ORCID 0000-0003-3928-5931

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
Northwestern University Clinical and Translational Science Institute (NUCATS)UL1TR001422 · NCATS · NORTHWESTERN UNIVERSITY AT CHICAGO · PI D'AQUILA, RICHARD · 2015 to 2023
$56.8M
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
South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
Kentucky Center for Clinical and Translational ScienceUL1TR001998 · NCATS · UNIVERSITY OF KENTUCKY · PI HARTMANN, KATHERINE E, KERN, PHILIP A · 2016 to 2025
$34.2M
RESEARCH TRAINING-MEDICAL INFORMATICS 90T15LM007092 · NLM · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI Nils Gehlenborg · 1992 to 2026
$32.8M
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
British Heart Foundation FS/19/52/34563NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR001420NCATS NIH HHS UL1 TR001422NCATS NIH HHS UL1 TR001450NCATS NIH HHS UL1 TR001857NCATS NIH HHS UL1 TR001878NCATS NIH HHS UL1 TR001881NCATS NIH HHS UL1 TR001998NCATS NIH HHS UL1 TR002240NCATS NIH HHS UL1 TR002366NCATS NIH HHS UL1 TR002541NCI NIH HHS U24 CA210967NHGRI NIH HHS R01 HG009174NHGRI NIH HHS U01 HG008685NHLBI NIH HHS K23 HL148394NHLBI NIH HHS L40 HL148910NICHD NIH HHS T32 HD040128NIEHS NIH HHS P30 ES017885NINDS NIH HHS R01 NS098023NLM NIH HHS R01 LM012095NLM NIH HHS R01 LM013345NLM NIH HHS T15 LM007092NLM NIH HHS T32 LM012203
6 · The paper itself

Abstract

backgroundMany 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.

objectiveIn 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.

methodsUsing 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.

resultsData 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.

conclusionsPatients 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.

Indexed as

COVID-19PandemicsAdultAgedFemaleHospitalizationHospitalsHumansMaleMiddle AgedRetrospective StudiesSARS-CoV-2COVID-19electronic health recordsfederated studylaboratory trajectorymeta-analysisretrospective cohort studySARS-CoV-2severe COVID-19

Identifiers

PMID34533459
PMCPMC8510151

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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.