Evidence map›Paper›PMID 36224551›Full record

ArticleBMC infectious diseases2022

Sex differences in determinants of COVID-19 severe outcomes - findings from the National COVID Cohort Collaborative (N3C).

Yilin Yoshida, San Chu, Sarah Fox, Yuanhao Zu, Dragana Lovre, Joshua L Denson, Lucio Miele, Franck Mauvais-Jarvis

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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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

8 authors at 3 institutions in 1 country.

Yilin YoshidaSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, 1430 Tulane Ave. New Orleans, 70112, New Orleans, LA, USA. yyoshida1@tulane.edu.
San ChuPennington Biomedical Research Center, Louisiana State University, Baton Rouge, LA, USA.
Sarah FoxSchool of Science and Engineering, Tulane University, New Orleans, LA, USA.
Yuanhao ZuDepartment of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Dragana LovreSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, 1430 Tulane Ave. New Orleans, 70112, New Orleans, LA, USA.
Joshua L DensonPulmonary and Critical Care, Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, USA.
Lucio MieleDepartment of Genetics, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Franck Mauvais-JarvisSection of Endocrinology and Metabolism, Deming Department of Medicine, Tulane University School of Medicine, 1430 Tulane Ave. New Orleans, 70112, New Orleans, LA, USA.
Tulane University · USLouisiana State University · USLouisiana State University Health Sciences Center New Orleans · US

Funding

Tracking & Evaluation CoreU54GM104940 · NIGMS · LSU PENNINGTON BIOMEDICAL RESEARCH CTR · PI JUDD E SHELLITO · 2012 to 2026
$69.1M
CD2H - The National COVID Cohort Collaborative (N3C) IDeA CTR CollaborationU24TR002306 · NCATS · UNIVERSITY OF COLORADO DENVER · PI CHUTE, CHRISTOPHER G, EICHMANN, DAVID A. · 2017 to 2021
$28.9M
Tulane Building Interdisciplinary Research Careers in Women's Health (BIRCWH)K12HD043451 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI KROUSEL-WOOD, MARIE · 2002 to 2023
$9.9M
NCATS NIH HHS U24 TR002306NICHD NIH HHS K12 HD043451NIGMS NIH HHS U54 GM104940
6 · The paper itself

Abstract

objectiveThe impact of comorbidities and biomarkers on COVID-19 severity vary by sex but have not yet been verified in population-based studies. We examined the association of comorbidities, inflammatory biomarkers, and severe outcomes in men and women hospitalized for COVID-19.

designThis is a retrospective cohort analysis based on the National COVID Cohort Collaborative (N3C). We included 574,391 adult patients admitted for COVID-19 at hospitals or emergency rooms between 01/01/2020 and 12/31/2021.

methodsWe defined comorbidities at or before the first admission for COVID-19 by Charlson Comorbidity Index (CCI) and CCI components. We used the averaged lab values taken within 15 days before or after the admission date to measure biomarkers including c-reactive protein (CRP), ferritin, procalcitonin, N-terminal pro b-type natriuretic peptide (NT proBNP), d-dimer, absolute lymphocyte counts, absolute neutrophil counts, and platelets. Our primary outcome was all-cause mortality; secondary outcomes were invasive mechanical ventilation (IMV) and hospital length of stay (LOS). We used logistic regression adjusted for age, race, ethnicity, visit type, and medications to assess the association of comorbidities, biomarkers, and mortality disaggregating by sex.

resultsModerate to severe liver disease, renal disease, metastatic solid tumor, and myocardial infarction were the top four fatal comorbidities among patients who were hospitalized for COVID-19 (adjusted odds ratio [aOR] > 2). These four comorbid conditions remained the most lethal in both sexes, with a higher magnitude of risk in women than in men (p-interaction < 0.05). Abnormal elevations of CRP, ferritin, procalcitonin, NT proBNP, neutrophil, and platelet counts, and lymphocytopenia were significantly associated with the risk of death, with procalcitonin and NT proBNP as the strongest predictors (aOR > 2). The association between the abnormal biomarkers and death was stronger in women than in men (p-interaction < 0.05).

conclusionThere are sex differences in inpatient mortality associated with comorbidities and biomarkers. The significant impact of these clinical determinants in women with COVID-19 may be underappreciated as previous studies stressed the increased death rate in male patients that is related to comorbidities or inflammation. Our study highlights the importance and the need for sex-disaggregated research to understand the risk factors of poor outcomes and health disparities in COVID-19.

Indexed as

COVID-19AdultBiomarkersC-Reactive ProteinFemaleFerritinsHumansMaleNatriuretic Peptide, BrainProcalcitoninRetrospective StudiesSex CharacteristicsBiomarkersC-Reactive ProteinFerritinsNatriuretic Peptide, BrainProcalcitoninBiomarkersComorbiditiesCOVID-19 severitySex differences

Identifiers

PMID36224551
PMCPMC9555705
OpenAlexW4304701143

What OpenQuestion holds

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LicenceCC BY
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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.