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Dataset Information

Incremental Value of a Metabolic Risk Score for Heart Failure Mortality: A Population-Based Study.


ABSTRACT:

Background

Heart failure is heterogeneous syndrome with persistently high mortality. Nuclear magnetic resonance spectroscopy enables high-throughput metabolomics, suitable for precision phenotyping. We aimed to use targeted metabolomics to derive a metabolic risk score (MRS) that improved mortality risk stratification in heart failure.

Methods

Nuclear magnetic resonance was used to measure 21 metabolites (lipoprotein subspecies, branched-chain amino acids, alanine, GlycA (glycoprotein acetylation), ketone bodies, glucose, and citrate) in plasma collected from a heart failure community cohort. The MRS was derived using least absolute shrinkage and selection operator penalized Cox regression and temporal validation. The association between the MRS and mortality and whether ris

SUBMITTER: Joo J 

PROVIDER: S-EPMC11021175 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature