Development of a Predictive Model for Potentially Inappropriate Medications in Older Patients with Cardiovascular Disease.

ABSTRACT:

Background

Older patients with cardiovascular disease (CVD) are highly susceptible to adverse drug reactions due to age-related physiological changes and the presence of multiple comorbidities, polypharmacy, and potentially inappropriate medications (PIMs).

Objective

This study aimed to develop a predictive model to identify the use of PIMs in older patients with CVD.

Methods

Data from 2012 to 2021 from the Changhua Christian Hospital Clinical Research Database (CCHRD) and the Kaohsiung Medical University Hospital Research Database (KMUHRD) were analyzed. Participants over the age of 65 years with CVD diagnoses were included. The CCHRD data were randomly divided into a training set (80% of the database) and an internal validation set (20% of the database), while the K

SUBMITTER: Lee CY 

PROVIDER: S-EPMC11322215 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature