Dataset Information

Men and COVID-19: A Pathophysiologic Review.

ABSTRACT: Coronaviruses are single-stranded ribonucleic acid viruses that can cause illnesses in humans ranging from the common cold to severe respiratory disease and even death.In March 2020, the World Health Organization declared the 2019 novel coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as the first pandemic. Compared to women, most countries with available data report that men with COVID-19 have greater disease severity and higher mortality. Lab and animal data indicate that men respond differently to the SARS-CoV-2 infection, offering possible explanations for the epidemiologic observations. The plausible theories underlying these observations include sex-related differences in angiotensin-converting enzyme 2 receptors, immune function, hormones, habits, and coinfection rates.In this review we examine these factors and explore the rationale as to how each may impact COVID-19. Understanding why men are more likely to experience severe disease can help in developing effective treatments, public health policies, and targeted strategies such as early recognition and aggressive testing in subgroups.

SUBMITTER: Lipsky MS

PROVIDER: S-EPMC7495118 | biostudies-literature | 2020 Sep-Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Men and COVID-19: A Pathophysiologic Review.

Lipsky Martin S MS Hung Man M

American journal of men's health 20200901 5

Coronaviruses are single-stranded ribonucleic acid viruses that can cause illnesses in humans ranging from the common cold to severe respiratory disease and even death.In March 2020, the World Health Organization declared the 2019 novel coronavirus disease (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) as the first pandemic. Compared to women, most countries with available data report that men with COVID-19 have greater disease severity and higher mortality ...[more]

PMID: 32936693

Similar Datasets

Project description:BackgroundCoronavirus disease 2019 (COVID-19) has spread worldwide determining dramatic impacts on healthcare systems. Early identification of high-risk parameters is required in order to provide the best therapeutic approach. Coronary, thoracic aorta and aortic valve calcium can be measured from a non-gated chest computer tomography (CT) and are validated predictors of cardiovascular events and all-cause mortality. However, their prognostic role in acute systemic inflammatory diseases, such as COVID-19, has not been investigated.ObjectivesThe aim was to evaluate the association of coronary artery calcium and total thoracic calcium on in-hospital mortality in COVID-19 patients.Methods1093 consecutive patients from 16 Italian hospitals with a positive swab for COVID-19 and an admission chest CT for pneumonia severity assessment were included. At CT, coronary, aortic valve and thoracic aorta calcium were qualitatively and quantitatively evaluated separately and combined together (total thoracic calcium) by a central Core-lab blinded to patients' outcomes.ResultsNon-survivors compared to survivors had higher coronary artery [Agatston (467.76 ± 570.92 vs 206.80 ± 424.13 mm2, p < 0.001); Volume (487.79 ± 565.34 vs 207.77 ± 406.81, p < 0.001)], aortic valve [Volume (322.45 ± 390.90 vs 98.27 ± 250.74 mm2, p < 0.001; Agatston 337.38 ± 414.97 vs 111.70 ± 282.15, p < 0.001)] and thoracic aorta [Volume (3786.71 ± 4225.57 vs 1487.63 ± 2973.19 mm2, p < 0.001); Agatston (4688.82 ± 5363.72 vs 1834.90 ± 3761.25, p < 0.001)] calcium values. Coronary artery calcium (HR 1.308; 95% CI, 1.046-1.637, p = 0.019) and total thoracic calcium (HR 1.975; 95% CI, 1.200-3.251, p = 0.007) resulted to be independent predictors of in-hospital mortality.ConclusionCoronary, aortic valve and thoracic aortic calcium assessment on admission non-gated CT permits to stratify the COVID-19 patients in-hospital mortality risk.

Dataset Information

Men and COVID-19: A Pathophysiologic Review.

Publications

Men and COVID-19: A Pathophysiologic Review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets