Evidence map›Paper›PMID 35738646›Full record

ArticleBMJ open2022

Changes in laboratory value improvement and mortality rates over the course of the pandemic: an international retrospective cohort study of hospitalised patients infected with SARS-CoV-2.

Chuan Hong, Harrison G Zhang, Sehi L'Yi, Griffin Weber, Paul Avillach, Bryce W Q Tan, Alba Gutiérrez-Sacristán, Clara-Lea Bonzel, Nathan P Palmer, Alberto Malovini and 52 more

Abstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

62 authors.

Chuan Hong *Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0001-7056-9559
Harrison G Zhang *Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Sehi L'Yi *Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Griffin WeberDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.ORCID 0000-0002-2597-881X
Paul AvillachDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Bryce W Q TanDepartment of Medicine, National University Hospital, Singapore.
Alba Gutiérrez-SacristánDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Clara-Lea BonzelDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Nathan P PalmerDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Alberto MaloviniLaboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy.
Valentina TibolloLaboratory of Informatics and Systems Engineering for Clinical Research, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy.
Yuan LuoDepartment of Preventive Medicine, Northwestern University, Evanston, Illinois, USA.
Meghan R HutchDepartment of Preventive Medicine, Northwestern University, Evanston, Illinois, USA.
Molei LiuDepartment of Biostatistics, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA.
Florence BourgeoisDepartment of Pediatrics, Harvard Medical School, Boston, Massachusetts, USA.
Riccardo BellazziDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Luca ChiovatoUnit of Internal Medicine and Endocrinology, Istituti Clinici Scientifici Maugeri SpA SB IRCCS, Pavia, Lombardia, Italy.
Fernando J Sanz VidorretaDepartment of Medicine, David Geffen School of Medicine, Los Angeles, California, USA.ORCID 0000-0001-7165-0949
Trang T LeDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Xuan WangDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
William YuanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Antoine NeurazDepartment of Biomedical Informatics, Hopital Universitaire Necker-Enfants Malades, Paris, Île-de-France, France.
Vincent BenoitIT department, Innovation & Data, APHP Greater Paris University Hospital, Paris, France.
Bertrand MoalIAM unit, Bordeaux University Hospital, Bordeaux, France.
Michele MorrisDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
David A HanauerDepartment of Learning Health Sciences, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Sarah MaidlowMICHR Informatics, University of Michigan, Ann Arbor, Michigan, USA.
Kavishwar WagholikarDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Shawn MurphyNeurology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Hossein EstiriDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Adeline MakoudjouInstitute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany.
Patric TippmannInstitute of Medical Biometry and Statistics, Medical Center-University of Freiburg, Freiburg, Baden-Württemberg, Germany.ORCID 0000-0001-6521-8607
Jeffery KlannDepartment of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA.
Robert W FollettDepartment of Medicine, David Geffen School of Medicine, Los Angeles, California, USA.
Nils GehlenborgDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Gilbert S OmennComputational Medicine & Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Zongqi XiaDepartment of Neurology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Arianna DagliatiDepartment of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy.
Shyam VisweswaranDepartment of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Kansas, USA.
Lav P PatelDepartment of Internal Medicine, Division of Medical Informatics, University of Kansas Medical Center, Kansas City, Kansas, USA.ORCID 0000-0002-8626-137X
Danielle L MoweryDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Emily R SchriverData Analytics Center, University of Pennsylvania Health System, Philadelphia, Pennsylvania, USA.
Malarkodi Jebathilagam SamayamuthuBiomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0003-0061-8196
Ramakanth KavuluruInstitute for Biomedical Informatics, University of Kentucky, Lexington, Kentucky, USA.
Sara Lozano-ZahoneroInstitute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany.
Daniela ZöllerInstitute of Medical Biometry and Statistics, University of Freiburg Faculty of Medicine, Freiburg, Baden-Württemberg, Germany.
Amelia L M TanDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Byorn W L TanDepartment of Medicine, National University Hospital, Singapore.
Kee Yuan NgiamDepartment of Surgery, National University Hospital, Singapore.ORCID 0000-0001-5676-2520
John H HolmesDepartment of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Petra SchubertMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.ORCID 0000-0002-6135-0173
Kelly ChoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Yuk-Lam HoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, Massachusetts, USA.
Brett K Beaulieu-JonesBiomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Miguel Pedrera-JiménezHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain.
Noelia García-BarrioHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain.
Pablo Serrano-BalazoteHealth Informatics, Hospital Universitario 12 de Octubre, Madrid, Comunidad de Madrid, Spain.
Isaac KohaneDepartment of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
Consortium for Clinical Characterization of COVID-19 by EHR (4CE)
Andrew South *Department of Pediatrics, Section of Nephrology, Wake Forest University, Winston Salem, North Carolina, USA.ORCID 0000-0002-3204-4142
Gabriel A Brat *Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA.
T Cai *Department of Biomedical Informatics, Harvard Medical School, Boston, Massachusetts, USA tcai@hsph.harvard.edu.

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
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
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI AMY J SCHULZ · 2011 to 2026
$21.3M
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
NCATS NIH HHS UL1 TR000005NCATS NIH HHS UL1 TR001420NCATS 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 HL148910NHLBI NIH HHS R01 HL151643NICHD NIH HHS T32 HD040128NIEHS NIH HHS P30 ES017885NINDS NIH HHS R01 NS098023NINDS NIH HHS R01 NS124882NLM NIH HHS R01 LM012095NLM NIH HHS R01 LM013337NLM NIH HHS R01 LM013345NLM NIH HHS T15 LM007092
6 · The paper itself

Abstract

objectiveTo assess changes in international mortality rates and laboratory recovery rates during hospitalisation for patients hospitalised with SARS-CoV-2 between the first wave (1 March to 30 June 2020) and the second wave (1 July 2020 to 31 January 2021) of the COVID-19 pandemic. DESIGN, SETTING AND

participantsThis is a retrospective cohort study of 83 178 hospitalised patients admitted between 7 days before or 14 days after PCR-confirmed SARS-CoV-2 infection within the Consortium for Clinical Characterization of COVID-19 by Electronic Health Record, an international multihealthcare system collaborative of 288 hospitals in the USA and Europe. The laboratory recovery rates and mortality rates over time were compared between the two waves of the pandemic. PRIMARY AND SECONDARY OUTCOME MEASURES: The primary outcome was all-cause mortality rate within 28 days after hospitalisation stratified by predicted low, medium and high mortality risk at baseline. The secondary outcome was the average rate of change in laboratory values during the first week of hospitalisation.

resultsBaseline Charlson Comorbidity Index and laboratory values at admission were not significantly different between the first and second waves. The improvement in laboratory values over time was faster in the second wave compared with the first. The average C reactive protein rate of change was -4.72 mg/dL vs -4.14 mg/dL per day (p=0.05). The mortality rates within each risk category significantly decreased over time, with the most substantial decrease in the high-risk group (42.3% in March-April 2020 vs 30.8% in November 2020 to January 2021, p<0.001) and a moderate decrease in the intermediate-risk group (21.5% in March-April 2020 vs 14.3% in November 2020 to January 2021, p<0.001).

conclusionsAdmission profiles of patients hospitalised with SARS-CoV-2 infection did not differ greatly between the first and second waves of the pandemic, but there were notable differences in laboratory improvement rates during hospitalisation. Mortality risks among patients with similar risk profiles decreased over the course of the pandemic. The improvement in laboratory values and mortality risk was consistent across multiple countries.

Indexed as

COVID-19PandemicsHospitalizationHumansRetrospective StudiesSARS-CoV-2COVID-19EpidemiologyPublic health

Identifiers

PMID35738646
PMCPMC9226470

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.