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. 2021 Jan 13;16(1):e0245556.
doi: 10.1371/journal.pone.0245556. eCollection 2021.

Sex differences in susceptibility, severity, and outcomes of coronavirus disease 2019: Cross-sectional analysis from a diverse US metropolitan area

Affiliations

Sex differences in susceptibility, severity, and outcomes of coronavirus disease 2019: Cross-sectional analysis from a diverse US metropolitan area

Farhaan S Vahidy et al. PLoS One. .

Abstract

Introduction: Sex is increasingly recognized as an important factor in the epidemiology and outcome of many diseases. This also appears to hold for coronavirus disease 2019 (COVID-19). Evidence from China and Europe has suggested that mortality from COVID-19 infection is higher in men than women, but evidence from US populations is lacking. Utilizing data from a large healthcare provider, we determined if males, as compared to females have a higher likelihood of SARS-CoV-2 susceptibility, and if among the hospitalized COVID-19 patients, male sex is independently associated with COVID-19 severity and poor in-hospital outcomes.

Methods and findings: Using the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines, we conducted a cross-sectional analysis of data from a COVID-19 Surveillance and Outcomes Registry (CURATOR). Data were extracted from Electronic Medical Records (EMR). A total of 96,473 individuals tested for SARS-CoV-2 RNA in nasopharyngeal swab specimens via Polymerized Chain Reaction (PCR) tests were included. For hospital-based analyses, all patients admitted during the same time-period were included. Of the 96,473 patients tested, 14,992 (15.6%) tested positive, of whom 4,785 (31.9%) were hospitalized and 452 (9.5%) died. Among all patients tested, men were significantly older. The overall SARS-CoV-2 positivity among all tested individuals was 15.5%, and was higher in males as compared to females 17.0% vs. 14.6% [OR 1.20]. This sex difference held after adjusting for age, race, ethnicity, marital status, insurance type, median income, BMI, smoking and 17 comorbidities included in Charlson Comorbidity Index (CCI) [aOR 1.39]. A higher proportion of males (vs. females) experienced pulmonary (ARDS, hypoxic respiratory failure) and extra-pulmonary (acute renal injury) complications during their hospital course. After adjustment, length of stay (LOS), need for mechanical ventilation, and in-hospital mortality were significantly higher in males as compared to females.

Conclusions: In this analysis of a large US cohort, males were more likely to test positive for COVID-19. In hospitalized patients, males were more likely to have complications, require ICU admission and mechanical ventilation, and had higher mortality than females, independent of age. Sex disparities in COVID-19 vulnerability are present, and emphasize the importance of examining sex-disaggregated data to improve our understanding of the biological processes involved to potentially tailor treatment and risk stratify patients.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Predicted probabilities of SARS-CoV-2 positivity (Y-axis) by age (X-axis) among males and females.
Predicted probably of SARS-CoV-2 infection for males (red line) and females (blue line) for age spectrum (20–90 years). Probability demonstrated on a scale of 0–1.
Fig 2
Fig 2. Frequency and proportion of hospital outcomes among COVID-19 patients, by sex.
OR: Odds Ratio, aOR: Adjusted Odds Ratio, CI: 95% Confidence Interval, Respective ORs and 95% (CI) represent odds of ICU admission and death for males (vs. females) among hospitalized COVID-19 patients.
Fig 3
Fig 3. Predicted probabilities of COVID-19 mortality (Y-axis) by age (X-axis) among males and females.
Predicted probably of SARS-CoV-2 infection for males (red line) and females (blue line) for age spectrum (20–90 years). Probability demonstrated on a scale of 0–1.

References

    1. Boehmer TK, DeVies J, Caruso E, van Santen KL, Tang S, Black CL, et al. Changing Age Distribution of the COVID-19 Pandemic—United States, May–August 2020. MMWR Morb Mortal Wkly Rep 2020;69:1404–9. 10.15585/mmwr.mm6939e1 - DOI - PMC - PubMed
    1. Razzaghi H, Wang Y, Lu H, Marshall KE, Dowling NF, Paz-Bailey G, et al. Estimated County-Level Prevalence of Selected Underlying Medical Conditions Associated with Increased Risk for Severe COVID-19 Illness—United States, 2018. MMWR Morb Mortal Wkly Rep 2020;69:945–50. 10.15585/mmwr.mm6929a1 - DOI - PMC - PubMed
    1. Vahidy FS, Nicolas JC, Meeks JR, Khan O, Pan A, Jones SL, et al. Racial and ethnic disparities in SARS-CoV-2 pandemic: analysis of a COVID-19 observational registry for a diverse US metropolitan population. BMJ Open 2020;10:e039849 10.1136/bmjopen-2020-039849 - DOI - PMC - PubMed
    1. Jin J-M, Bai P, He W, Wu F, Liu X-F, Han D-M, et al. Gender Differences in Patients With COVID-19: Focus on Severity and Mortality. Front Public Health 2020;8:152 10.3389/fpubh.2020.00152 - DOI - PMC - PubMed
    1. Meng Y, Wu P, Lu W, Liu K, Ma K, Huang L, et al. Sex-specific clinical characteristics and prognosis of coronavirus disease-19 infection in Wuhan, China: A retrospective study of 168 severe patients. PLoS Pathog 2020;16:e1008520 10.1371/journal.ppat.1008520 - DOI - PMC - PubMed