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Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study

BACKGROUND: After a heart failure (HF) hospital discharge, the risk of a cardiovascular (CV) related event is highest in the following 100 days. It is important to identify factors associated with increased risk of readmission. METHOD: This retrospective, population-based study examined HF patients...

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Autores principales: Davidge, Jason, Halling, Anders, Ashfaq, Awais, Etminani, Kobra, Agvall, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971266/
https://www.ncbi.nlm.nih.gov/pubmed/36865412
http://dx.doi.org/10.1016/j.ijcrp.2023.200176
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author Davidge, Jason
Halling, Anders
Ashfaq, Awais
Etminani, Kobra
Agvall, Björn
author_facet Davidge, Jason
Halling, Anders
Ashfaq, Awais
Etminani, Kobra
Agvall, Björn
author_sort Davidge, Jason
collection PubMed
description BACKGROUND: After a heart failure (HF) hospital discharge, the risk of a cardiovascular (CV) related event is highest in the following 100 days. It is important to identify factors associated with increased risk of readmission. METHOD: This retrospective, population-based study examined HF patients in Region Halland (RH), Sweden, hospitalized with a HF diagnosis between 2017 and 2019. Data regarding patient clinical characteristics were retrieved from the Regional healthcare Information Platform from admission until 100 days post-discharge. Primary outcome was readmission due to a CV related event within 100 days. RESULTS: There were 5029 included patients being admitted for HF and discharged and 1966 (39%) were newly diagnosed. Echocardiography was available for 3034 (60%) patients and 1644 (33%) had their first echocardiography while admitted. The distribution of HF-phenotypes was 33% HF with reduced ejection fraction (EF), 29% HF with mildly reduced EF and 38% HF with preserved EF. Within 100 days, 1586 (33%) patients were readmitted, and 614 (12%) died. A Cox regression model showed that advanced age, longer hospital length of stay, renal impairment, high heart rate and elevated NT-proBNP were associated with an increased risk of readmission regardless of HF-phenotype. Women and increased blood pressure are associated with a reduced risk of readmission. CONCLUSIONS: One third had a CV-readmission within 100 days. This study found clinical factors already present at discharge that are associated with increased risk of readmission which should be considered at discharge.
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spelling pubmed-99712662023-03-01 Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study Davidge, Jason Halling, Anders Ashfaq, Awais Etminani, Kobra Agvall, Björn Int J Cardiol Cardiovasc Risk Prev Research Paper BACKGROUND: After a heart failure (HF) hospital discharge, the risk of a cardiovascular (CV) related event is highest in the following 100 days. It is important to identify factors associated with increased risk of readmission. METHOD: This retrospective, population-based study examined HF patients in Region Halland (RH), Sweden, hospitalized with a HF diagnosis between 2017 and 2019. Data regarding patient clinical characteristics were retrieved from the Regional healthcare Information Platform from admission until 100 days post-discharge. Primary outcome was readmission due to a CV related event within 100 days. RESULTS: There were 5029 included patients being admitted for HF and discharged and 1966 (39%) were newly diagnosed. Echocardiography was available for 3034 (60%) patients and 1644 (33%) had their first echocardiography while admitted. The distribution of HF-phenotypes was 33% HF with reduced ejection fraction (EF), 29% HF with mildly reduced EF and 38% HF with preserved EF. Within 100 days, 1586 (33%) patients were readmitted, and 614 (12%) died. A Cox regression model showed that advanced age, longer hospital length of stay, renal impairment, high heart rate and elevated NT-proBNP were associated with an increased risk of readmission regardless of HF-phenotype. Women and increased blood pressure are associated with a reduced risk of readmission. CONCLUSIONS: One third had a CV-readmission within 100 days. This study found clinical factors already present at discharge that are associated with increased risk of readmission which should be considered at discharge. Elsevier 2023-02-10 /pmc/articles/PMC9971266/ /pubmed/36865412 http://dx.doi.org/10.1016/j.ijcrp.2023.200176 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Davidge, Jason
Halling, Anders
Ashfaq, Awais
Etminani, Kobra
Agvall, Björn
Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title_full Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title_fullStr Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title_full_unstemmed Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title_short Clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – An observational study
title_sort clinical characteristics at hospital discharge that predict cardiovascular readmission within 100 days in heart failure patients – an observational study
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9971266/
https://www.ncbi.nlm.nih.gov/pubmed/36865412
http://dx.doi.org/10.1016/j.ijcrp.2023.200176
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