Disease trajectories following myocardial infarction: insights from process mining of 145 million hospitalisation episodes.

ABSTRACT:

Background

Knowledge of post-myocardial infarction (MI) disease risk to date is limited-yet the number of survivors of MI has increased dramatically in recent decades. We investigated temporally ordered sequences of all conditions following MI in nationwide electronic health record data through the application of process mining.

Methods

We conducted a national retrospective cohort study of all hospitalisations (145,670,448 episodes; 34,083,204 individuals) admitted to NHS hospitals in England (1st January 2008-31st January 2017, final follow-up 27th March 2017). Through process mining, we identified trajectories of all major disease diagnoses following MI and compared their relative risk (RR) and all-cause mortality hazard ratios (HR) to a risk-set matched non-MI control coh

SUBMITTER: Hayward CJ 

PROVIDER: S-EPMC10520333 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature