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A retrospective analysis to identify predictors of COPD-related rehospitalization

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is often associated with recurrent hospitalizations. This study aimed to identify factors related to COPD rehospitalization. METHODS: A national US claims database was used to identify patients, aged ≥40 years, hospitalized for COPD. Their fir...

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Autores principales: Roberts, Melissa H., Clerisme-Beaty, Emmanuelle, Kozma, Chris M., Paris, Andrew, Slaton, Terra, Mapel, Douglas W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851802/
https://www.ncbi.nlm.nih.gov/pubmed/27130455
http://dx.doi.org/10.1186/s12890-016-0231-3
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author Roberts, Melissa H.
Clerisme-Beaty, Emmanuelle
Kozma, Chris M.
Paris, Andrew
Slaton, Terra
Mapel, Douglas W.
author_facet Roberts, Melissa H.
Clerisme-Beaty, Emmanuelle
Kozma, Chris M.
Paris, Andrew
Slaton, Terra
Mapel, Douglas W.
author_sort Roberts, Melissa H.
collection PubMed
description BACKGROUND: Chronic obstructive pulmonary disease (COPD) is often associated with recurrent hospitalizations. This study aimed to identify factors related to COPD rehospitalization. METHODS: A national US claims database was used to identify patients, aged ≥40 years, hospitalized for COPD. Their first COPD-related hospital admission date in 2009 was set as the index date, with post-discharge COPD-related rehospitalization assessed for 180 days post-index date. Data were analyzed for: 1) all eligible patients in whom early COPD-related rehospitalization was evaluated (1–30 days post discharge; all-patient cohort) and 2) a patient subset not rehospitalized early in whom late COPD-related rehospitalization was evaluated (>30 days post discharge to 180 days post-index date; late cohort). Logistic regressions controlling for age and sex assessed potential COPD-related rehospitalization predictors. Variables from the 360-day pre-index period and index hospitalization were evaluated for each cohort, and 30-day post-discharge variables evaluated for the late cohort. RESULTS: Of 3612 patients with an index hospitalization, 4.8 % (174) had an early COPD-related rehospitalization, and of the remaining 3438 patients, 13.7 % (471) had a late COPD-related rehospitalization. Several pre-index variables were predictive of early COPD-related rehospitalization including: pneumonia; comorbidities; COPD-related drug therapies; and prior hospitalizations. In patients not rehospitalized early, the strongest predictor of late COPD-related rehospitalization was pre-index COPD-related hospitalization (OR = 3.64 [P < 0.001]). The strongest index hospitalization factors predictive of late COPD-related rehospitalization were use of steroids (any route: OR = 1.62 [P = 0.007]) and nebulizers (OR = 1.65 [P = 0.007]); neither predicted early COPD-related rehospitalization. Generally, factors predicting COPD-related rehospitalization were similar in both cohorts. CONCLUSIONS: Several pre-index variables were associated with COPD-related rehospitalization. A strong predictor of COPD-related rehospitalization was prior hospitalization during the pre-index period, particularly with a primary COPD diagnosis, whilst other predictive factors related to increased COPD severity; these may be useful indicators for COPD-related rehospitalization risk assessment. Some factors, e.g., recurrent pneumonia and exacerbations, may be modifiable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12890-016-0231-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-48518022016-05-01 A retrospective analysis to identify predictors of COPD-related rehospitalization Roberts, Melissa H. Clerisme-Beaty, Emmanuelle Kozma, Chris M. Paris, Andrew Slaton, Terra Mapel, Douglas W. BMC Pulm Med Research Article BACKGROUND: Chronic obstructive pulmonary disease (COPD) is often associated with recurrent hospitalizations. This study aimed to identify factors related to COPD rehospitalization. METHODS: A national US claims database was used to identify patients, aged ≥40 years, hospitalized for COPD. Their first COPD-related hospital admission date in 2009 was set as the index date, with post-discharge COPD-related rehospitalization assessed for 180 days post-index date. Data were analyzed for: 1) all eligible patients in whom early COPD-related rehospitalization was evaluated (1–30 days post discharge; all-patient cohort) and 2) a patient subset not rehospitalized early in whom late COPD-related rehospitalization was evaluated (>30 days post discharge to 180 days post-index date; late cohort). Logistic regressions controlling for age and sex assessed potential COPD-related rehospitalization predictors. Variables from the 360-day pre-index period and index hospitalization were evaluated for each cohort, and 30-day post-discharge variables evaluated for the late cohort. RESULTS: Of 3612 patients with an index hospitalization, 4.8 % (174) had an early COPD-related rehospitalization, and of the remaining 3438 patients, 13.7 % (471) had a late COPD-related rehospitalization. Several pre-index variables were predictive of early COPD-related rehospitalization including: pneumonia; comorbidities; COPD-related drug therapies; and prior hospitalizations. In patients not rehospitalized early, the strongest predictor of late COPD-related rehospitalization was pre-index COPD-related hospitalization (OR = 3.64 [P < 0.001]). The strongest index hospitalization factors predictive of late COPD-related rehospitalization were use of steroids (any route: OR = 1.62 [P = 0.007]) and nebulizers (OR = 1.65 [P = 0.007]); neither predicted early COPD-related rehospitalization. Generally, factors predicting COPD-related rehospitalization were similar in both cohorts. CONCLUSIONS: Several pre-index variables were associated with COPD-related rehospitalization. A strong predictor of COPD-related rehospitalization was prior hospitalization during the pre-index period, particularly with a primary COPD diagnosis, whilst other predictive factors related to increased COPD severity; these may be useful indicators for COPD-related rehospitalization risk assessment. Some factors, e.g., recurrent pneumonia and exacerbations, may be modifiable. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12890-016-0231-3) contains supplementary material, which is available to authorized users. BioMed Central 2016-04-30 /pmc/articles/PMC4851802/ /pubmed/27130455 http://dx.doi.org/10.1186/s12890-016-0231-3 Text en © Roberts et al. 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Roberts, Melissa H.
Clerisme-Beaty, Emmanuelle
Kozma, Chris M.
Paris, Andrew
Slaton, Terra
Mapel, Douglas W.
A retrospective analysis to identify predictors of COPD-related rehospitalization
title A retrospective analysis to identify predictors of COPD-related rehospitalization
title_full A retrospective analysis to identify predictors of COPD-related rehospitalization
title_fullStr A retrospective analysis to identify predictors of COPD-related rehospitalization
title_full_unstemmed A retrospective analysis to identify predictors of COPD-related rehospitalization
title_short A retrospective analysis to identify predictors of COPD-related rehospitalization
title_sort retrospective analysis to identify predictors of copd-related rehospitalization
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4851802/
https://www.ncbi.nlm.nih.gov/pubmed/27130455
http://dx.doi.org/10.1186/s12890-016-0231-3
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