Informatics tools to implement late cardiovascular risk prediction modeling for population management of high-risk childhood cancer survivors.

ABSTRACT:

Background

Clinical informatics tools to integrate data from multiple sources have the potential to catalyze population health management of childhood cancer survivors at high risk for late heart failure through the implementation of previously validated risk calculators.

Methods

The Oklahoma cohort (n = 365) harnessed data elements from Passport for Care (PFC), and the Duke cohort (n = 274) employed informatics methods to automatically extract chemotherapy exposures from electronic health record (EHR) data for survivors 18 years old and younger at diagnosis. The Childhood Cancer Survivor Study (CCSS) late cardiovascular risk calculator was implemented, and risk groups for heart failure were compared to the Children's Oncology Group (COG) and the International Guidelines Har

SUBMITTER: Noyd DH 

PROVIDER: S-EPMC11110462 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature