Sex and Gender Differences in Testing, Hospital Admission, Clinical Presentation, and Drivers of Severe Outcomes From COVID-19.

BMI COVID-19 CRP inflammation

Journal

Open forum infectious diseases
ISSN: 2328-8957
Titre abrégé: Open Forum Infect Dis
Pays: United States
ID NLM: 101637045

Informations de publication

Date de publication:
Sep 2021
Historique:
received: 24 05 2021
accepted: 30 08 2021
entrez: 29 9 2021
pubmed: 30 9 2021
medline: 30 9 2021
Statut: epublish

Résumé

Males experience increased severity of illness and mortality from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compared with females, but the mechanisms of male susceptibility are unclear. We performed a retrospective cohort analysis of SARS-CoV-2 testing and admission data at 5 hospitals in the Maryland/Washington DC area. Using age-stratified logistic regression models, we quantified the impact of male sex on the risk of the composite outcome of severe disease or death (World Health Organization score 5-8) and tested the impact of demographics, comorbidities, health behaviors, and laboratory inflammatory markers on the sex effect. Among 213 175 SARS-CoV-2 tests, despite similar positivity rates, males in age strata between 18 and 74 years were more frequently hospitalized. For the 2626 hospitalized individuals, clinical inflammatory markers (interleukin-6, C-reactive protein, ferritin, absolute lymphocyte count, and neutrophil:lymphocyte ratio) were more favorable for females than males ( Higher inflammatory laboratory test values were associated with increased risk of severe coronavirus disease 2019 for males. A sex-specific inflammatory response to SARS-CoV-2 infection may underlie the sex differences in outcomes.

Sections du résumé

BACKGROUND BACKGROUND
Males experience increased severity of illness and mortality from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) compared with females, but the mechanisms of male susceptibility are unclear.
METHODS METHODS
We performed a retrospective cohort analysis of SARS-CoV-2 testing and admission data at 5 hospitals in the Maryland/Washington DC area. Using age-stratified logistic regression models, we quantified the impact of male sex on the risk of the composite outcome of severe disease or death (World Health Organization score 5-8) and tested the impact of demographics, comorbidities, health behaviors, and laboratory inflammatory markers on the sex effect.
RESULTS RESULTS
Among 213 175 SARS-CoV-2 tests, despite similar positivity rates, males in age strata between 18 and 74 years were more frequently hospitalized. For the 2626 hospitalized individuals, clinical inflammatory markers (interleukin-6, C-reactive protein, ferritin, absolute lymphocyte count, and neutrophil:lymphocyte ratio) were more favorable for females than males (
CONCLUSIONS CONCLUSIONS
Higher inflammatory laboratory test values were associated with increased risk of severe coronavirus disease 2019 for males. A sex-specific inflammatory response to SARS-CoV-2 infection may underlie the sex differences in outcomes.

Identifiants

pubmed: 34584899
doi: 10.1093/ofid/ofab448
pii: ofab448
pmc: PMC8465334
doi:

Types de publication

Journal Article

Langues

eng

Pagination

ofab448

Subventions

Organisme : NCI NIH HHS
ID : U54 CA260492
Pays : United States
Organisme : NIA NIH HHS
ID : T32 AG000247
Pays : United States
Organisme : NIAID NIH HHS
ID : K08 AI116344
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI154541
Pays : United States
Organisme : NCEZID CDC HHS
ID : U01 CK000589
Pays : United States

Commentaires et corrections

Type : UpdateOf

Informations de copyright

© The Author(s) 2021. Published by Oxford University Press on behalf of Infectious Diseases Society of America.

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Auteurs

Eileen P Scully (EP)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Grant Schumock (G)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Martina Fu (M)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Guido Massaccesi (G)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

John Muschelli (J)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Joshua Betz (J)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Eili Y Klein (EY)

Department of Emergency Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Natalie E West (NE)

Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Matthew Robinson (M)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Brian T Garibaldi (BT)

Division of Pulmonary and Critical Care Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Karen Bandeen-Roche (K)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Scott Zeger (S)

Department of Biostatistics, The Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Sabra L Klein (SL)

W. Harry Feinstone Department of Molecular Microbiology and Immunology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Department of Biochemistry and Molecular Biology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Amita Gupta (A)

Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.

Classifications MeSH