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COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans
The burden of COVID-19 has been noted to be disproportionately greater in minority women, a population that is nevertheless still understudied in COVID-19 research. We conducted an observational study to examine COVID-19-associated mortality and cardiovascular disease outcomes after testing (hencefo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055870/ https://www.ncbi.nlm.nih.gov/pubmed/33875764 http://dx.doi.org/10.1038/s41598-021-88111-z |
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author | Tsai, Shirling Nguyen, Hang Ebrahimi, Ramin Barbosa, Monica R. Ramanan, Bala Heitjan, Daniel F. Hastings, Jeffrey L. Modrall, J. Gregory Jeon-Slaughter, Haekyung |
author_facet | Tsai, Shirling Nguyen, Hang Ebrahimi, Ramin Barbosa, Monica R. Ramanan, Bala Heitjan, Daniel F. Hastings, Jeffrey L. Modrall, J. Gregory Jeon-Slaughter, Haekyung |
author_sort | Tsai, Shirling |
collection | PubMed |
description | The burden of COVID-19 has been noted to be disproportionately greater in minority women, a population that is nevertheless still understudied in COVID-19 research. We conducted an observational study to examine COVID-19-associated mortality and cardiovascular disease outcomes after testing (henceforth index) among a racially diverse adult women veteran population. We assembled a retrospective cohort from a Veterans Affairs (VA) national COVID-19 shared data repository, collected between February and August 2020. A case was defined as a woman veteran who tested positive for SARS-COV-2, and a control as a woman veteran who tested negative. We used Kaplan–Meier curves and the Cox proportional hazards model to examine the distribution of time to death and the effects of baseline predictors on mortality risk. We used generalized linear models to examine 60-day cardiovascular disease outcomes. Covariates studied included age, body mass index (BMI), and active smoking status at index, and pre-existing conditions of diabetes, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), and a history of treatment with antiplatelet or anti-thrombotic drug at any time in the 2 years prior to the index date. Women veterans who tested positive for SARS-CoV-2 had 4 times higher mortality risk than women veterans who tested negative (Hazard Ratio 3.8, 95% Confidence Interval CI 2.92 to 4.89) but had lower risk of cardiovascular events (Odds Ratio OR 0.78, 95% CI 0.66 to 0.92) and developing new heart disease conditions within 60 days (OR 0.67, 95% CI 0.58 to 0.77). Older age, obesity (BMI > 30), and prior CVD and COPD conditions were positively associated with increased mortality in 60 days. Despite a higher infection rate among minority women veterans, there was no significant race difference in mortality, cardiovascular events, or onset of heart disease. SARS-CoV-2 infection increased short-term mortality risk among women veterans similarly across race groups. However, there was no evidence of increased cardiovascular disease incidence in 60 days. A longer follow-up of women veterans who tested positive is warranted. |
format | Online Article Text |
id | pubmed-8055870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80558702021-04-22 COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans Tsai, Shirling Nguyen, Hang Ebrahimi, Ramin Barbosa, Monica R. Ramanan, Bala Heitjan, Daniel F. Hastings, Jeffrey L. Modrall, J. Gregory Jeon-Slaughter, Haekyung Sci Rep Article The burden of COVID-19 has been noted to be disproportionately greater in minority women, a population that is nevertheless still understudied in COVID-19 research. We conducted an observational study to examine COVID-19-associated mortality and cardiovascular disease outcomes after testing (henceforth index) among a racially diverse adult women veteran population. We assembled a retrospective cohort from a Veterans Affairs (VA) national COVID-19 shared data repository, collected between February and August 2020. A case was defined as a woman veteran who tested positive for SARS-COV-2, and a control as a woman veteran who tested negative. We used Kaplan–Meier curves and the Cox proportional hazards model to examine the distribution of time to death and the effects of baseline predictors on mortality risk. We used generalized linear models to examine 60-day cardiovascular disease outcomes. Covariates studied included age, body mass index (BMI), and active smoking status at index, and pre-existing conditions of diabetes, chronic kidney disease (CKD), chronic obstructive pulmonary disease (COPD), and a history of treatment with antiplatelet or anti-thrombotic drug at any time in the 2 years prior to the index date. Women veterans who tested positive for SARS-CoV-2 had 4 times higher mortality risk than women veterans who tested negative (Hazard Ratio 3.8, 95% Confidence Interval CI 2.92 to 4.89) but had lower risk of cardiovascular events (Odds Ratio OR 0.78, 95% CI 0.66 to 0.92) and developing new heart disease conditions within 60 days (OR 0.67, 95% CI 0.58 to 0.77). Older age, obesity (BMI > 30), and prior CVD and COPD conditions were positively associated with increased mortality in 60 days. Despite a higher infection rate among minority women veterans, there was no significant race difference in mortality, cardiovascular events, or onset of heart disease. SARS-CoV-2 infection increased short-term mortality risk among women veterans similarly across race groups. However, there was no evidence of increased cardiovascular disease incidence in 60 days. A longer follow-up of women veterans who tested positive is warranted. Nature Publishing Group UK 2021-04-19 /pmc/articles/PMC8055870/ /pubmed/33875764 http://dx.doi.org/10.1038/s41598-021-88111-z Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Tsai, Shirling Nguyen, Hang Ebrahimi, Ramin Barbosa, Monica R. Ramanan, Bala Heitjan, Daniel F. Hastings, Jeffrey L. Modrall, J. Gregory Jeon-Slaughter, Haekyung COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title | COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title_full | COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title_fullStr | COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title_full_unstemmed | COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title_short | COVID-19 associated mortality and cardiovascular disease outcomes among US women veterans |
title_sort | covid-19 associated mortality and cardiovascular disease outcomes among us women veterans |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8055870/ https://www.ncbi.nlm.nih.gov/pubmed/33875764 http://dx.doi.org/10.1038/s41598-021-88111-z |
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