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  3. Patterns of multimorbidity associated with 30-day readmission: a multinational study.
 

Patterns of multimorbidity associated with 30-day readmission: a multinational study.

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BORIS DOI
10.7892/boris.131409
Date of Publication
June 13, 2019
Publication Type
Article
Division/Institute

Clinical Trials Unit ...

Universitätsklinik fü...

Institut für Sozial- ...

Contributor
Aubert, Carole Elodieorcid-logo
Universitätsklinik für Allgemeine Innere Medizin
Berner Institut für Hausarztmedizin (BIHAM)
Schnipper, Jeffrey L
Fankhauser, Niklausorcid-logo
Institut für Sozial- und Präventivmedizin (ISPM)
Clinical Trials Unit Bern (CTU)
Marques-Vidal, Pedro
Stirnemann, Jérôme
Auerbach, Andrew D
Zimlichman, Eyal
Kripalani, Sunil
Vasilevskis, Eduard E
Robinson, Edmondo
Metlay, Joshua
Fletcher, Grant S
Limacher, Andreasorcid-logo
Clinical Trials Unit Bern (CTU)
Institut für Sozial- und Präventivmedizin (ISPM)
Donzé, Jacques
Universitätsklinik für Allgemeine Innere Medizin
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
BMC public health
ISSN or ISBN (if monograph)
1471-2458
Publisher
BioMed Central
Language
English
Publisher DOI
10.1186/s12889-019-7066-9
PubMed ID
31196053
Uncontrolled Keywords

Diseases combinations...

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/180850
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