An electronic health record based model predicts statin adherence, LDL cholesterol, and cardiovascular disease in the United States Military Health System.

ABSTRACT: HMG-CoA reductase inhibitors (or "statins") are important and commonly used medications to lower cholesterol and prevent cardiovascular disease. Nearly half of patients stop taking statin medications one year after they are prescribed leading to higher cholesterol, increased cardiovascular risk, and costs due to excess hospitalizations. Identifying which patients are at highest risk for not adhering to long-term statin therapy is an important step towards individualizing interventions to improve adherence. Electronic health records (EHR) are an increasingly common source of data that are challenging to analyze but have potential for generating more accurate predictions of disease risk. The aim of this study was to build an EHR based model for statin adherence and link this model to biologi

SUBMITTER: Lucas JE 

PROVIDER: S-EPMC5695792 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature