Tuning and external validation of an adult congenital heart disease risk prediction model.

ABSTRACT:

Aims

Adequate risk prediction can optimize the clinical management in adult congenital heart disease (ACHD). We aimed to update and subsequently validate a previously developed ACHD risk prediction model.

Methods and results

A prediction model was developed in a prospective cohort study including 602 moderately or severely complex ACHD patients, enrolled as outpatients at a tertiary centre in the Netherlands (2011-2013). Multivariable Cox regression was used to develop a model for predicting the 1-year risks of death, heart failure (HF), or arrhythmia (primary endpoint). The Boston ACHD Biobank study, a prospectively enrolled cohort (n = 749) of outpatients who visited a referral centre in Boston (2012-2017), was used for external validation. The primary endpoint occurred in

SUBMITTER: Geenen LW 

PROVIDER: S-EPMC8728026 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature