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Patterns of multimorbidity associated with 30-day readmission: a multinational study
BACKGROUND: Multimorbidity is associated with higher healthcare utilization; however, data exploring its association with readmission are scarce. We aimed to investigate which most important patterns of multimorbidity are associated with 30-day readmission. METHODS: We used a multinational retrospec...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567629/ https://www.ncbi.nlm.nih.gov/pubmed/31196053 http://dx.doi.org/10.1186/s12889-019-7066-9 |
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author | Aubert, Carole E. Schnipper, Jeffrey L. Fankhauser, Niklaus Marques-Vidal, Pedro Stirnemann, Jérôme Auerbach, Andrew D. Zimlichman, Eyal Kripalani, Sunil Vasilevskis, Eduard E. Robinson, Edmondo Metlay, Joshua Fletcher, Grant S. Limacher, Andreas Donzé, Jacques |
author_facet | Aubert, Carole E. Schnipper, Jeffrey L. Fankhauser, Niklaus Marques-Vidal, Pedro Stirnemann, Jérôme Auerbach, Andrew D. Zimlichman, Eyal Kripalani, Sunil Vasilevskis, Eduard E. Robinson, Edmondo Metlay, Joshua Fletcher, Grant S. Limacher, Andreas Donzé, Jacques |
author_sort | Aubert, Carole E. |
collection | PubMed |
description | BACKGROUND: Multimorbidity is associated with higher healthcare utilization; however, data exploring its association with readmission are scarce. We aimed to investigate which most important patterns of multimorbidity are associated with 30-day readmission. METHODS: We used a multinational retrospective cohort of 126,828 medical inpatients with multimorbidity defined as ≥2 chronic diseases. The primary and secondary outcomes were 30-day potentially avoidable readmission (PAR) and 30-day all-cause readmission (ACR), respectively. Only chronic diseases were included in the analyses. We presented the OR for readmission according to the number of diseases or body systems involved, and the combinations of diseases categories with the highest OR for readmission. RESULTS: Multimorbidity severity, assessed as number of chronic diseases or body systems involved, was strongly associated with PAR, and to a lesser extend with ACR. The strength of association steadily and linearly increased with each additional disease or body system involved. Patients with four body systems involved or nine diseases already had a more than doubled odds for PAR (OR 2.35, 95%CI 2.15–2.57, and OR 2.25, 95%CI 2.05–2.48, respectively). The combinations of diseases categories that were most strongly associated with PAR and ACR were chronic kidney disease with liver disease or chronic ulcer of skin, and hematological malignancy with esophageal disorders or mood disorders, respectively. CONCLUSIONS: Readmission was associated with the number of chronic diseases or body systems involved and with specific combinations of diseases categories. The number of body systems involved may be a particularly interesting measure of the risk for readmission in multimorbid patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7066-9) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6567629 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65676292019-06-27 Patterns of multimorbidity associated with 30-day readmission: a multinational study Aubert, Carole E. Schnipper, Jeffrey L. Fankhauser, Niklaus Marques-Vidal, Pedro Stirnemann, Jérôme Auerbach, Andrew D. Zimlichman, Eyal Kripalani, Sunil Vasilevskis, Eduard E. Robinson, Edmondo Metlay, Joshua Fletcher, Grant S. Limacher, Andreas Donzé, Jacques BMC Public Health Research Article BACKGROUND: Multimorbidity is associated with higher healthcare utilization; however, data exploring its association with readmission are scarce. We aimed to investigate which most important patterns of multimorbidity are associated with 30-day readmission. METHODS: We used a multinational retrospective cohort of 126,828 medical inpatients with multimorbidity defined as ≥2 chronic diseases. The primary and secondary outcomes were 30-day potentially avoidable readmission (PAR) and 30-day all-cause readmission (ACR), respectively. Only chronic diseases were included in the analyses. We presented the OR for readmission according to the number of diseases or body systems involved, and the combinations of diseases categories with the highest OR for readmission. RESULTS: Multimorbidity severity, assessed as number of chronic diseases or body systems involved, was strongly associated with PAR, and to a lesser extend with ACR. The strength of association steadily and linearly increased with each additional disease or body system involved. Patients with four body systems involved or nine diseases already had a more than doubled odds for PAR (OR 2.35, 95%CI 2.15–2.57, and OR 2.25, 95%CI 2.05–2.48, respectively). The combinations of diseases categories that were most strongly associated with PAR and ACR were chronic kidney disease with liver disease or chronic ulcer of skin, and hematological malignancy with esophageal disorders or mood disorders, respectively. CONCLUSIONS: Readmission was associated with the number of chronic diseases or body systems involved and with specific combinations of diseases categories. The number of body systems involved may be a particularly interesting measure of the risk for readmission in multimorbid patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-7066-9) contains supplementary material, which is available to authorized users. BioMed Central 2019-06-13 /pmc/articles/PMC6567629/ /pubmed/31196053 http://dx.doi.org/10.1186/s12889-019-7066-9 Text en © The Author(s). 2019 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 Aubert, Carole E. Schnipper, Jeffrey L. Fankhauser, Niklaus Marques-Vidal, Pedro Stirnemann, Jérôme Auerbach, Andrew D. Zimlichman, Eyal Kripalani, Sunil Vasilevskis, Eduard E. Robinson, Edmondo Metlay, Joshua Fletcher, Grant S. Limacher, Andreas Donzé, Jacques Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title | Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title_full | Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title_fullStr | Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title_full_unstemmed | Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title_short | Patterns of multimorbidity associated with 30-day readmission: a multinational study |
title_sort | patterns of multimorbidity associated with 30-day readmission: a multinational study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6567629/ https://www.ncbi.nlm.nih.gov/pubmed/31196053 http://dx.doi.org/10.1186/s12889-019-7066-9 |
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