Machine learning to optimize use of natriuretic peptides in the diagnosis of acute heart failure.

ABSTRACT:

Aims

B-type natriuretic peptide (BNP) and mid-regional pro-atrial natriuretic peptide (MR-proANP) testing are guideline-recommended to aid in the diagnosis of acute heart failure. Nevertheless, the diagnostic performance of these biomarkers is uncertain.

Methods and results

We performed a systematic review and individual patient-level data meta-analysis to evaluate the diagnostic performance of BNP and MR-proANP. We subsequently developed and externally validated a decision-support tool called CoDE-HF that combines natriuretic peptide concentrations with clinical variables using machine learning to report the probability of acute heart failure. Fourteen studies from 12 countries provided individual patient-level data in 8493 patients for BNP and 3899 patients for MR-proANP,

SUBMITTER: Doudesis D 

PROVIDER: S-EPMC12342151 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature