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Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study

Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic lung disease that has a significant impact on individuals and healthcare systems worldwide. This study aimed to identify factors that predict the length of a hospital stay (LOHS), one-year mortality, and rehospitalization wit...

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Autores principales: Lüthi-Corridori, Giorgia, Boesing, Maria, Ottensarendt, Nicola, Leuppi-Taegtmeyer, Anne Barbara, Schuetz, Philipp, Leuppi, Joerg Daniel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455093/
https://www.ncbi.nlm.nih.gov/pubmed/37629364
http://dx.doi.org/10.3390/jcm12165322
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author Lüthi-Corridori, Giorgia
Boesing, Maria
Ottensarendt, Nicola
Leuppi-Taegtmeyer, Anne Barbara
Schuetz, Philipp
Leuppi, Joerg Daniel
author_facet Lüthi-Corridori, Giorgia
Boesing, Maria
Ottensarendt, Nicola
Leuppi-Taegtmeyer, Anne Barbara
Schuetz, Philipp
Leuppi, Joerg Daniel
author_sort Lüthi-Corridori, Giorgia
collection PubMed
description Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic lung disease that has a significant impact on individuals and healthcare systems worldwide. This study aimed to identify factors that predict the length of a hospital stay (LOHS), one-year mortality, and rehospitalization within 6 months in patients admitted for acute exacerbation of COPD (AECOPD). A retrospective cohort study was conducted using data from 170 patients admitted to a district general hospital in Switzerland between January 2019 and February 2020. Sociodemographic and health-related variables measured at admission were analyzed as potential predictors. Multivariable zero-truncated negative binomial and logistic regression analyses were performed to assess the risk factors for LOHS (primary endpoint), mortality, and rehospitalization. The results show that an indication for oxygen supplementation was the only significant predictor of LOHS. In the logistic regression analysis, older age, COPD severity stages GOLD III and IV, active cancer and arrhythmias were associated with higher mortality, whereas rehabilitation after discharge was associated with lower mortality. There were no significant associations regarding rehospitalization. This study identified routinely available predictors for LOHS and mortality, which may further advance our understanding of AECOPD and thereby improve patient management, discharge planning, and hospital costs. The protective effect of rehabilitation after hospitalization regarding lower mortality warrants further confirmation and may improve the comprehensive management of patients with AECOPD.
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spelling pubmed-104550932023-08-26 Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study Lüthi-Corridori, Giorgia Boesing, Maria Ottensarendt, Nicola Leuppi-Taegtmeyer, Anne Barbara Schuetz, Philipp Leuppi, Joerg Daniel J Clin Med Article Chronic obstructive pulmonary disease (COPD) is a highly prevalent chronic lung disease that has a significant impact on individuals and healthcare systems worldwide. This study aimed to identify factors that predict the length of a hospital stay (LOHS), one-year mortality, and rehospitalization within 6 months in patients admitted for acute exacerbation of COPD (AECOPD). A retrospective cohort study was conducted using data from 170 patients admitted to a district general hospital in Switzerland between January 2019 and February 2020. Sociodemographic and health-related variables measured at admission were analyzed as potential predictors. Multivariable zero-truncated negative binomial and logistic regression analyses were performed to assess the risk factors for LOHS (primary endpoint), mortality, and rehospitalization. The results show that an indication for oxygen supplementation was the only significant predictor of LOHS. In the logistic regression analysis, older age, COPD severity stages GOLD III and IV, active cancer and arrhythmias were associated with higher mortality, whereas rehabilitation after discharge was associated with lower mortality. There were no significant associations regarding rehospitalization. This study identified routinely available predictors for LOHS and mortality, which may further advance our understanding of AECOPD and thereby improve patient management, discharge planning, and hospital costs. The protective effect of rehabilitation after hospitalization regarding lower mortality warrants further confirmation and may improve the comprehensive management of patients with AECOPD. MDPI 2023-08-16 /pmc/articles/PMC10455093/ /pubmed/37629364 http://dx.doi.org/10.3390/jcm12165322 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lüthi-Corridori, Giorgia
Boesing, Maria
Ottensarendt, Nicola
Leuppi-Taegtmeyer, Anne Barbara
Schuetz, Philipp
Leuppi, Joerg Daniel
Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title_full Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title_fullStr Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title_full_unstemmed Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title_short Predictors of Length of Stay, Mortality and Rehospitalization in COPD Patients: A Retrospective Cohort Study
title_sort predictors of length of stay, mortality and rehospitalization in copd patients: a retrospective cohort study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455093/
https://www.ncbi.nlm.nih.gov/pubmed/37629364
http://dx.doi.org/10.3390/jcm12165322
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