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Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA
OBJECTIVES: In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020. SETTING: We used the NRD from 2020 to identify hospitalised adults wi...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649490/ https://www.ncbi.nlm.nih.gov/pubmed/37949624 http://dx.doi.org/10.1136/bmjopen-2023-073959 |
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author | Vardar, Ufuk Shaka, Hafeez Kumi, Dennis Gajjar, Rohan Bess, Olva Kanemo, Philip Shaka, Abdultawab Baskaran, Naveen |
author_facet | Vardar, Ufuk Shaka, Hafeez Kumi, Dennis Gajjar, Rohan Bess, Olva Kanemo, Philip Shaka, Abdultawab Baskaran, Naveen |
author_sort | Vardar, Ufuk |
collection | PubMed |
description | OBJECTIVES: In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020. SETTING: We used the NRD from 2020 to identify hospitalised adults with a principal diagnosis of COVID-19 infection. PARTICIPANTS: We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We used a multivariate Cox regression model to identify independent predictors of readmission. PRIMARY AND SECONDARY OUTCOMES MEASURES: Our outcomes were inpatient mortality, 30-day and 90-day cardiovascular readmission rates following COVID-19 infection. RESULTS: During the study period, there were 1 024 492 index hospitalisations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644 903 (62.9%) were included for 30-day readmission analysis, and 418 122 (40.8%) were included for 90-day readmission analysis. Of patients involved in the 30-day analysis, 7140 (1.1%) patients had a readmission within 30 days; of patients involved in the 90-day analysis, 8379 (2.0%) had a readmission within 90 days due to primarily cardiovascular causes. Cox regression analysis revealed that the female sex (aHR 0.89; 95% CI 0.82 to 0.95; p=0.001) was associated with a lower hazard of 30-day cardiovascular readmissions; however, congestive heart failure (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001), arrhythmias (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) and valvular disease (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) had a higher hazard. The most common causes of cardiovascular readmissions were heart failure (34.3%), deep vein thrombosis/pulmonary embolism (22.5%) and atrial fibrillation (9.5%). CONCLUSION: Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with lowering the burden of cardiovascular disease in patients with COVID-19 infection. |
format | Online Article Text |
id | pubmed-10649490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-106494902023-11-10 Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA Vardar, Ufuk Shaka, Hafeez Kumi, Dennis Gajjar, Rohan Bess, Olva Kanemo, Philip Shaka, Abdultawab Baskaran, Naveen BMJ Open Cardiovascular Medicine OBJECTIVES: In this study, we aimed to identify the causes, predictors and gender disparities of 30-day and 90-day cardiovascular readmissions after COVID-19-related hospitalisations using National Readmission Database (NRD) 2020. SETTING: We used the NRD from 2020 to identify hospitalised adults with a principal diagnosis of COVID-19 infection. PARTICIPANTS: We included subjects who were readmitted within 30 days and 90 days after index admission. We excluded subjects with elective and traumatic admissions. We used a multivariate Cox regression model to identify independent predictors of readmission. PRIMARY AND SECONDARY OUTCOMES MEASURES: Our outcomes were inpatient mortality, 30-day and 90-day cardiovascular readmission rates following COVID-19 infection. RESULTS: During the study period, there were 1 024 492 index hospitalisations with a primary diagnosis of COVID-19 infection in the 2020 NRD database, 644 903 (62.9%) were included for 30-day readmission analysis, and 418 122 (40.8%) were included for 90-day readmission analysis. Of patients involved in the 30-day analysis, 7140 (1.1%) patients had a readmission within 30 days; of patients involved in the 90-day analysis, 8379 (2.0%) had a readmission within 90 days due to primarily cardiovascular causes. Cox regression analysis revealed that the female sex (aHR 0.89; 95% CI 0.82 to 0.95; p=0.001) was associated with a lower hazard of 30-day cardiovascular readmissions; however, congestive heart failure (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001), arrhythmias (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) and valvular disease (aHR 2.45; 95% CI 2.2 to 2.72; p<0.001) had a higher hazard. The most common causes of cardiovascular readmissions were heart failure (34.3%), deep vein thrombosis/pulmonary embolism (22.5%) and atrial fibrillation (9.5%). CONCLUSION: Our study demonstrates that male gender, heart failure, arrhythmias and valvular disease carry higher hazards of 30-day and 90-day cardiovascular readmissions. Identifying risk factors and common causes of readmission may assist with lowering the burden of cardiovascular disease in patients with COVID-19 infection. BMJ Publishing Group 2023-11-10 /pmc/articles/PMC10649490/ /pubmed/37949624 http://dx.doi.org/10.1136/bmjopen-2023-073959 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Cardiovascular Medicine Vardar, Ufuk Shaka, Hafeez Kumi, Dennis Gajjar, Rohan Bess, Olva Kanemo, Philip Shaka, Abdultawab Baskaran, Naveen Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title | Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title_full | Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title_fullStr | Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title_full_unstemmed | Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title_short | Gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following COVID-19-related hospitalisations in the USA |
title_sort | gender disparities, causes and predictors of immediate and short-term cardiovascular readmissions following covid-19-related hospitalisations in the usa |
topic | Cardiovascular Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649490/ https://www.ncbi.nlm.nih.gov/pubmed/37949624 http://dx.doi.org/10.1136/bmjopen-2023-073959 |
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