Five-year trajectories of multimorbidity patterns in an elderly Mediterranean population using Hidden Markov Models.

ABSTRACT: This study aimed to analyse the trajectories and mortality of multimorbidity patterns in patients aged 65 to 99 years in Catalonia (Spain). Five year (2012-2016) data of 916,619 participants from a primary care, population-based electronic health record database (Information System for Research in Primary Care, SIDIAP) were included in this retrospective cohort study. Individual longitudinal trajectories were modelled with a Hidden Markov Model across multimorbidity patterns. We computed the mortality hazard using Cox regression models to estimate survival in multimorbidity patterns. Ten multimorbidity patterns were originally identified and two more states (death and drop-outs) were subsequently added. At baseline, the most frequent cluster was the Non-Specific Pattern (42%), and the leas

SUBMITTER: Violan C 

PROVIDER: S-EPMC7547668 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature