Related Experiment Video
Updated: Dec 13, 2025

Sex Stratified Neuronal Cultures to Study Ischemic Cell Death Pathways
Published on: December 9, 2013
Sex Differences in Case Fatality Rate of COVID-19: Insights From a Multinational Registry
Mohamad Alkhouli1, Aravinda Nanjundappa2, Frank Annie3
1Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN.
Insights
Men with coronavirus disease 2019 (COVID-19) experienced significantly higher mortality rates compared to women. This increased risk in males persisted even after accounting for comorbidities, highlighting a sex-based disparity in COVID-19 outcomes.
Area of Science:
- Epidemiology
- Infectious Diseases
- Sex Differences in Health
Background:
- Male sex has been anecdotally linked to increased mortality from coronavirus disease 2019 (COVID-19).
- Understanding the relationship between sex and COVID-19 outcomes is crucial for public health strategies.
Purpose of the Study:
- To investigate the association between male sex and COVID-19 mortality.
- To determine if this association is dependent on patient age.
Main Methods:
- A multinational database (COVID-19 Research Network via TriNetX) was queried for patients with confirmed COVID-19 infection.
- All-cause mortality was the primary endpoint, analyzed before and after propensity score matching (PSM).
- Kaplan-Meier survival analysis was employed to compare survival probabilities between sexes.
Main Results:
- A total of 14,712 patients were analyzed; men had higher all-cause mortality rates than women both before (8.8% vs 4.3%) and after PSM (8.13% vs 4.60%).
- Kaplan-Meier analysis revealed significantly lower cumulative survival probability in men (73-74%) compared to women (86%).
- The higher mortality in men was not fully explained by their greater prevalence of comorbidities like hypertension and diabetes.
Conclusions:
- Men with COVID-19 infection exhibit significantly higher mortality rates compared to women.
- The observed sex disparity in COVID-19 mortality is not solely attributable to differences in comorbidity prevalence.
Objectives:
To confirm whether a relationship exists between male sex and coronavirus disease 2019 (COVID-19) mortality and whether this relationship is age dependent.
Patients And Methods:
We queried the COVID-19 Research Network, a multinational database using the TriNetX network, to identify patients with confirmed COVID-19 infection. The main end point of the study was all-cause mortality.
Results:
A total of 14,712 patients were included, of whom 6387 (43%) were men. Men were older (mean age, 55.0±17.7 years vs 51.1±17.9 years; P<.001) and had a higher prevalence of hypertension, diabetes, coronary disease, obstructive pulmonary disease, nicotine dependence, and heart failure but a lower prevalence of obesity. Before propensity score matching (PSM), all-cause mortality rate was 8.8% in men and 4.3% in women (odds ratio, 2.15; 95% CI, 1.87 to 2.46; P<.001) at a median follow-up duration of 34 and 32 days, respectively. In the Kaplan-Meier survival analysis, the cumulative probability of survival was significantly lower in men than in women (73% vs 86%; log-rank, P<.001). After PSM, all-cause mortality remained significantly higher in men than in women (8.13% vs 4.60%; odds ratio, 1.81; 95% CI, 1.55 to 2.11; P<.001). In the Kaplan-Meier survival analysis, the cumulative probability of survival remained significantly lower in men than in women (74% vs 86%; log-rank, P<.001). The cumulative probability of survival remained significantly lower in propensity score-matched men than in women after excluding patients younger than 50 years and those who were taking angiotensin-converting enzyme inhibitor or angiotensin receptor blocker medications on admission.
Conclusion:
Among patients with COVID-19 infection, men had a significantly higher mortality than did women, and this difference was not completely explained by the higher prevalence of comorbidities in men.
Related Concept Videos
Bias in Epidemiological Studies
Relative Risk
Comparing the Survival Analysis of Two or More Groups
Prevalence and Incidence
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Hazard Ratio
For example, in a clinical trial...
Confounding in Epidemiological Studies

