2026-04-17T15:03:11Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/169882024-06-18T12:37:19Zcom_2072_452955com_2072_2054col_2072_453068

00925njm 22002777a 4500 dc Violán Fors, Concepción author Roso Llorach, Albert author Foguet Boreu, Quintí author Guisado Clavero, Marina author Pons Vigués, Mariona author Pujol Ribera, Enriqueta author Valderas, Jose M. author 2018-07-03 The purpose of this study was to ascertain multimorbidity patterns using a non-hierarchical cluster analysis in adult primary patients with multimorbidity attended in primary care centers in Catalonia. Methods Cross-sectional study using electronic health records from 523,656 patients, aged 45–64 years in 274 primary health care teams in 2010 in Catalonia, Spain. Data were provided by the Information System for the Development of Research in Primary Care (SIDIAP), a population database. Diagnoses were extracted using 241 blocks of diseases (International Classification of Diseases, version 10). Multimorbidity patterns were identified using two steps: 1) multiple correspondence analysis and 2) k-means clustering. Analysis was stratified by sex. Results The 408,994 patients who met multimorbidity criteria were included in the analysis (mean age, 54.2 years [Standard deviation, SD: 5.8], 53.3% women). Six multimorbidity patterns were obtained for each sex; the three most prevalent included 68% of the women and 66% of the men, respectively. The top cluster included coincident diseases in both men and women: Metabolic disorders, Hypertensive diseases, Mental and behavioural disorders due to psychoactive substance use, Other dorsopathies, and Other soft tissue disorders. Conclusion Non-hierarchical cluster analysis identified multimorbidity patterns consistent with clinical practice, identifying phenotypic subgroups of patients The project has been funded by the Instituto de Salud Carlos III of the Ministry of Economy and Competitiveness (Spain) through the Network for Prevention and Health Promotion in Primary Health Care (redIAPP, RD12/0005), by a grant for research projects on health from ISCiii (PI12/00427) and co-financed with European Union ERDF funds). Jose M. Valderas was supported by the National Institute for Health Research Clinician Scientist Award NIHR/CS/010/024 http://hdl.handle.net/10256/16988 Epidemiologia Epidemiology Malalts crònics Chronically ill Persones grans -- Malalties Older people -- Diseases Anàlisi de conglomerats Cluster analysis Multimorbidity patterns with K-means nonhierarchical cluster analysis