Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis
The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care. Cross-sectional study. 251 primary care centres in Catalonia, Spain. Individuals older than 64 years registered with participating practices. Multimorbidity, defined as...
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Published in: | PloS one Vol. 10; no. 11; p. e0141155 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United States
Public Library of Science
02-11-2015
Public Library of Science (PLoS) |
Subjects: | |
Online Access: | Get full text |
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Summary: | The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care.
Cross-sectional study.
251 primary care centres in Catalonia, Spain.
Individuals older than 64 years registered with participating practices.
Multimorbidity, defined as the coexistence of 2 or more ICD-10 disease categories in the electronic health record. Using hierarchical cluster analysis, multimorbidity clusters were identified by sex and age group (65-79 and ≥80 years).
322,328 patients with multimorbidity were included in the analysis (mean age, 75.4 years [Standard deviation, SD: 7.4], 57.4% women; mean of 7.9 diagnoses [SD: 3.9]). For both men and women, the first cluster in both age groups included the same two diagnoses: Hypertensive diseases and Metabolic disorders. The second cluster contained three diagnoses of the musculoskeletal system in the 65- to 79-year-old group, and five diseases coincided in the ≥80 age group: varicose veins of the lower limbs, senile cataract, dorsalgia, functional intestinal disorders and shoulder lesions. The greatest overlap (54.5%) between the three most common diagnoses was observed in women aged 65-79 years.
This cluster analysis of elderly primary care patients with multimorbidity, revealed a single cluster of circulatory-metabolic diseases that were the most prevalent in both age groups and sex, and a cluster of second-most prevalent diagnoses that included musculoskeletal diseases. Clusters unknown to date have been identified. The clusters identified should be considered when developing clinical guidance for this population. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Conceived and designed the experiments: QFB CV JMV MPV EPR. Performed the experiments: QFB CV JMV MPV EPR. Analyzed the data: TRB ARL YCG. Contributed reagents/materials/analysis tools: QFB CV JMV MPV EPR YCG. Wrote the paper: QFB CV TRB JMV MPV EPR YCG. Competing Interests: The authors have declared that no competing interests exist. |
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0141155 |