Multimorbidity patterns with K-means nonhierarchical cluster analysis.

ABSTRACT:

Background

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 4

SUBMITTER: Violan C 

PROVIDER: S-EPMC6031109 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature