Cited by 65COVID-19 Clinical Research StudiesSepsis Diagnosis and TreatmentSARS-CoV-2 and COVID-19 Research

Sex differences in inflammatory markers in patients hospitalized with COVID-19 infection: Insights from the MGH COVID-19 patient registry

Open access
Lau, Emily S., McNeill, Jenna N., Paniagua, Samantha M., Liu, Elizabeth E., Wang, Jessica K., Bassett, Ingrid V., Selvaggi, Caitlin A., Lubitz, Steven A. +2 more·2021·PLOS ONE

Abstract

Background: Men are at higher risk for serious complications related to COVID-19 infection than women. More robust immune activation in women has been proposed to contribute to decreased disease severity, although systemic inflammation has been associated with worse outcomes in COVID-19 infection. Whether systemic inflammation contributes to sex differences in COVID-19 infection is not known. Study design and methods: We examined sex differences in inflammatory markers among 453 men (mean age 61) and 328 women (mean age 62) hospitalized with COVID-19 infection at the Massachusetts General Hospital from March 8 to April 27, 2020. Multivariable linear regression models were used to examine the association of sex with initial and peak inflammatory markers. Exploratory analyses examined the association of sex and inflammatory markers with 28-day clinical outcomes using multivariable logistic regression. Results: Initial and peak CRP were higher in men compared with women after adjustment for baseline differences (initial CRP: ß 0.29, SE 0.07, p = 0.0001; peak CRP: ß 0.31, SE 0.07, p<0.0001) with similar findings for IL-6, PCT, and ferritin (p<0.05 for all). Men had greater than 1.5-greater odds of dying compared with women (OR 1.71, 95% CI 1.04–2.80, p = 0.03). Sex modified the association of peak CRP with both death and ICU admission, with stronger associations observed in men compared with women (death: OR 9.19, 95% CI 4.29–19.7, p <0.0001 in men vs OR 2.81, 95% CI 1.52–5.18, p = 0.009 in women, P interaction = 0.02). Conclusions: In a sample of 781 men and women hospitalized with COVID-19 infection, men exhibited more robust inflammatory activation as evidenced by higher initial and peak inflammatory markers, as well as worse clinical outcomes. Better understanding of sex differences in immune responses to COVID-19 infection may shed light on the pathophysiology of COVID-19 infection.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0250774

Cites

18 of 18 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Proinflammatory cytokines and cardiac biomarkers are elevated in men with COVID-19 compared with women, including ferritin, CRP, IL-6, IL-8, and IL-18.

    “Proinflammatory cytokines and cardiac biomarkers have been reported to be elevated in men with COVID-19 compared with women including ferritin, CRP (C-reactive protein), IL-6, IL-8, and IL-18. 13,121-123”

    From COVID-19, Myocarditis and Pericarditis (2023) · cites this paper as [123]

    The Results report higher CRP, ferritin, and IL-6 in men hospitalized with COVID-19, and the Discussion reports prior findings of higher IL-18 in men. The paper does not report higher IL-8 or cardiac biomarkers in men; its findings are limited to hospitalized patients. Page numbers are unavailable in our copy. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Men have more neutrophils and monocytes, whereas women have more T cells, similar to autoimmune myocarditis.

    “And men have more neutrophils and monocytes, whereas women have more T cells, 13,121-123 similar to autoimmune myocarditis. 124,125”

    From COVID-19, Myocarditis and Pericarditis (2023) · cites this paper as [123]

    The Results report sex differences in inflammatory markers, not neutrophil, monocyte, or T-cell counts. The Discussion mentions a prior study finding lower overall lymphocyte counts in men, but that does not establish the claimed T-cell difference. Searches for the named cell types found no passage addressing the claim. (LLM, conf=0.75)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Channappanavar R, Fett C, Mack M, Ten Eyck PP, Meyerholz DK, Perlman S. Sex-Based Differences in Susceptibility to Severe Acute Respiratory Syndrome Coronavirus Infection. Journal of immunology (Baltimore, Md: 1950). 2017; 198(10):4046-53. https://doi.org/10.4049/jimmunol.1601896 PMID: 28373583 · DOI
  2. Wener MH, Daum PR, McQuillan GM. The influence of age, sex, and race on the upper reference limit of serum C-reactive protein concentration. The Journal of rheumatology. 2000; 27(10):2351-9. PMID: 11036829
  3. Madsen TE, Bourjeily G, Hasnain M, Jenkins M, Morrison MF, Sandberg K, et al. Article Commentary: Sex-and Gender-Based Medicine: The Need for Precise Terminology. Gender and the Genome. 2017; 1(3):122-8.
  4. Dudley JP, Lee NT. Disparities in Age-specific Morbidity and Mortality From SARS-CoV-2 in China and the Republic of Korea. Clinical infectious diseases: an official publication of the Infectious Diseases Society of America. 2020; 71(15):863-5.
  5. Haitao T, Vermunt JV, Abeykoon J, Ghamrawi R, Gunaratne M, Jayachandran M, et al. COVID-19 and Sex Differences: Mechanisms and Biomarkers. Mayo Clinic Proceedings. 2020; 95(10):2189-203. https://doi.org/10.1016/j.mayocp.2020.07.024 PMID: 33012349 · DOI

Cited by

Sorted by citations

Authors
Lau, E. S., McNeill, J. N., Paniagua, S. M., Liu, E. E., Wang, J. K., Bassett, I. V., Selvaggi, C. A., Lubitz, S. A., Foulkes, A. S., & Ho, J. E.
Affiliations
Massachusetts General Hospital (US)
Corresponding author
Ho, Jennifer E.
Venue
PLOS ONE
Published
2021-04-28
Volume
16
Issue
4
Pages
e0250774
ISSN
1932-6203 (ISSN-L)
OpenAlex
W3159952420
Cited by
65
References
18
Citations by year
2026: 1 · 2025: 6 · 2024: 11 · 2023: 18 · 2022: 20 · 2021: 9
FWCI
4.59
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • MGH Division of Clinical Research
  • Weissman Family MGH Research Scholar Award
  • NIH (5T32HL094301-07, K24 AI141036, AI058736-16S1, AI141036, 1R01HL139731, R01 GM127862, R01 HL134893, R01 HL140224, K24 HL153669)
  • American Heart Association (18SFRN34250007)
Topics
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Epidemiology › Sepsis Diagnosis and Treatment
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
Keywords
COVID-19 pandemic, sex differences, inflammatory markers, C-reactive protein, interleukin-6, procalcitonin, ferritin, systemic inflammation, mortality, intensive care unit admission, hospitalized patients, immune response
MeSH terms
COVID-19, SARS-CoV-2, Adult, Aged, Female, Hospitalization, Humans, Inflammation, Male, Massachusetts, Middle Aged, Registries, Severity of Illness Index, Sex Factors, Biomarkers

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review