Natural language processing of electronic medical records identifies cardioprotective agents for anthracycline induced cardiotoxicity.

ABSTRACT: In this retrospective observational study, we aimed to investigate the potential of natural language processing (NLP) for drug repositioning by analyzing the preventive effects of cardioprotective drugs against anthracycline-induced cardiotoxicity (AIC) using electronic medical records. We evaluated the effects of angiotensin II receptor blockers/angiotensin-converting enzyme inhibitors (ARB/ACEIs), beta-blockers (BBs), statins, and calcium channel blockers (CCBs) on AIC using signals extracted from clinical texts via NLP. The study included 2935 patients prescribed anthracyclines at a single hospital, with concomitant prescriptions of ARB/ACEIs, BBs, statins, and CCBs. Upon propensity score matching, groups with and without these medications were compared, and expressions suggestive of ca

SUBMITTER: Kawazoe Y 

PROVIDER: S-EPMC11850854 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature