Detection of transthyretin amyloid cardiomyopathy by automated data extraction from electronic health records.

ABSTRACT:

Aims

Transthyretin amyloid cardiomyopathy (ATTR-CM), a progressive and fatal cardiomyopathy, is frequently misdiagnosed or entails diagnostic delays, hindering patients from timely treatment. This study aimed to generate a systematic framework based on data from electronic health records (EHRs) to assess patients with ATTR-CM in a real-world population of heart failure (HF) patients. Predictive factors or combinations of predictive factors related to ATTR-CM in a European population were also assessed.

Methods and results

Retrospective unstructured and semi-structured data from EHRs of patients from OLV Hospital Aalst, Belgium (2012-20), were processed using natural language processing (NLP) to generate an Observational Medical Outcomes Partnership Common Data Model database

SUBMITTER: Moya A 

PROVIDER: S-EPMC10682883 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature