Prediction of cardiac events using fully automated GLS and BNP titers in patients with known or suspected heart failure.

ABSTRACT:

Background

Although global longitudinal strain (GLS) measurements provide useful predictive information, measurement variability is still a major concern. We sought to determine whether fully automated GLS measurements could predict future cardiac events in patients with known or suspected heart failure (HF).

Methods

GLS was measured using fully automated 2D speckle tracking analysis software (AutoStrain, TomTec) in 3,150 subjects who had undergone clinically indicated brain natriuretic peptide (BNP) assays and echocardiographic examinations. Among 1,514 patients in the derivation cohort, optimal cut-off values of BNP and GLS for cardiac death (CD) and major adverse cardiovascular events (MACEs) were determined using survival classification and regression tree (CART) analysi

SUBMITTER: Otani K 

PROVIDER: S-EPMC7295200 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature