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DOI 10.1371/journal.pone.0141155

Медицинская библиотека · PloS one · 2015

Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis.

Foguet-Boreu Quintí, Violán Concepción, Rodriguez-Blanco Teresa, Roso-Llorach Albert, Pons-Vigués Mariona, Pujol-Ribera Enriqueta, Cossio Gil Yolima, Valderas Jose M

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

OBJECTIVE

The purpose of this study was to identify clusters of diagnoses in elderly patients with multimorbidity, attended in primary care.

DESIGN

Cross-sectional study.

SETTING

251 primary care centres in Catalonia, Spain.

PARTICIPANTS

Individuals older than 64 years registered with participating practices.

MAIN OUTCOME MEASURES: 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).

RESULTS

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.

CONCLUSION

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.

Для цитирования: Foguet-Boreu Quintí, Violán Concepción, Rodriguez-Blanco Teresa, Roso-Llorach Albert, Pons-Vigués Mariona, Pujol-Ribera Enriqueta, Cossio Gil Yolima, Valderas Jose M. Multimorbidity Patterns in Elderly Primary Health Care Patients in a South Mediterranean European Region: A Cluster Analysis.. PloS one. 2015. DOI: 10.1371/journal.pone.0141155.

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