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Multimorbidity Patterns and Unplanned Hospitalisation in a Cohort of Older Adults.

ABSTRACT: The presence of multiple chronic conditions (i.e., multimorbidity) increases the risk of hospitalisation in older adults. We aimed to examine the association between different multimorbidity patterns and unplanned hospitalisations over 5 years. To that end, 2,250 community-dwelling individuals aged 60 years and older from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) were studied. Participants were grouped into six multimorbidity patterns using a fuzzy c-means cluster analysis. The associations between patterns and outcomes were tested using Cox models and negative binomial models. After 5 years, 937 (41.6%) participants experienced at least one unplanned hospitalisation. Compared to participants in the unspecific multimorbidity pattern, those in the cardiovascular diseases, anaemia and dementia pattern, the psychiatric disorders pattern and the metabolic and sleep disorders pattern presented with a higher hazard of first unplanned hospitalisation (hazard ratio range: 1.49-2.05; p < 0.05 for all), number of unplanned hospitalisations (incidence rate ratio (IRR) range: 1.89-2.44; p < 0.05 for all), in-hospital days (IRR range: 1.91-3.61; p < 0.05 for all), and 30-day unplanned readmissions (IRR range: 2.94-3.65; p < 0.05 for all). Different multimorbidity patterns displayed a differential association with unplanned hospital care utilisation. These findings call for a careful primary care follow-up of older adults with complex multimorbidity patterns.

SUBMITTER: Akugizibwe R

PROVIDER: S-EPMC7764652 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature

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Multimorbidity Patterns and Unplanned Hospitalisation in a Cohort of Older Adults.

Akugizibwe Roselyne R Calderón-Larrañaga Amaia A Roso-Llorach Albert A Onder Graziano G Marengoni Alessandra A Zucchelli Alberto A Rizzuto Debora D Vetrano Davide L DL

Journal of clinical medicine 20201210 12

The presence of multiple chronic conditions (i.e., multimorbidity) increases the risk of hospitalisation in older adults. We aimed to examine the association between different multimorbidity patterns and unplanned hospitalisations over 5 years. To that end, 2,250 community-dwelling individuals aged 60 years and older from the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K) were studied. Participants were grouped into six multimorbidity patterns using a fuzzy c-means cluster anal ...[more]

PMID: 33321977

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Project description:ObjectiveThe aim of this study was to assess the impact of the burden and patterns of multimorbidity on disability domains.DesignIn a cross-sectional study of 425 older adults from the Boston Rehabilitative Impairment Study of the Elderly, participants self-reported 13 chronic conditions and underwent assessment of body function (leg strength, velocity, and power, trunk extensor endurance, leg range of motion, foot sensation), activities (400-m walk test, Short Physical Performance Battery, Late Life Function and Disability Instrument function scores) and participation (Late Life Function and Disability Instrument participation scores). The association between multimorbidity patterns (identified by latent class analysis) and disablement measures, as well as multimorbidity burden (captured by a multimorbidity score) and disablement measures, was tested.ResultsLatent class analysis identified three classes-low multimorbidity, high multimorbidity, and predominantly musculoskeletal conditions. Class membership (multimorbidity pattern) was not associated with disablement measures, but multimorbidity score was associated with poor performance in all domains. A 1-point higher multimorbidity score was associated with lower scores in body functions (by 0.06 SD unit), activities (0.07-0.10 SD units), as well as participation (0.07-0.09 units).ConclusionMultimorbidity counts may be an excellent tool for risk stratification and identification of persons in need of rehabilitation.To claim cme creditsComplete the self-assessment activity and evaluation online at http://www.physiatry.org/JournalCME CME OBJECTIVES: Upon completion of this article, the reader should be able to (1) describe and distinguish the effect of multimorbidity burden and multimorbidity patterns on three disability domains in older adults; (2) identify and discuss possible reasons why high multimorbidity burden may result in a restriction among social participation in older adults; and (3) detect disability risk among older patients during clinical assessment by using a simple count of common chronic conditions.LevelAdvanced ACCREDITATION: The Association of Academic Physiatrists is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.The Association of Academic Physiatrists designates this Journal-based CME activity for a maximum of 1.0 AMA PRA Category 1 Credit(s)™. Physicians should only claim credit commensurate with the extent of their participation in the activity.

Dataset Information

Multimorbidity Patterns and Unplanned Hospitalisation in a Cohort of Older Adults.

Publications

Multimorbidity Patterns and Unplanned Hospitalisation in a Cohort of Older Adults.

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