Incremental Value of a Metabolic Risk Score for Heart Failure Mortality: A Population-Based Study-Reference-Cited by-同舟云学术

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

Published:2024-04 Issue:2 Volume:17 Page:
ISSN:2574-8300
Container-title:Circulation: Genomic and Precision Medicine
language:en
Short-container-title:Circ: Genomic and Precision Medicine

Author:

Joo Jungnam¹^ORCID,Shearer Joseph J.²^ORCID,Wolska Anna³^ORCID,Remaley Alan T.³^ORCID,Otvos James D.³^ORCID,Connelly Margery A.⁴^ORCID,Sampson Maureen⁵^ORCID,Bielinski Suzette J.⁶^ORCID,Larson Nicholas B.⁷^ORCID,Park Hoyoung⁸^ORCID,Conners Katherine M.²,Turecamo Sarah²,Roger Véronique L.²^ORCID

Affiliation:

1. Office of Biostatistics Research (J.J.), National Heart, Lung, and Blood Institute, Bethesda, MD.

2. Heart Disease Phenomics Laboratory, Epidemiology and Community Health Branch (J.J.S., K.M.C., S.T., V.L.R.), National Heart, Lung, and Blood Institute, Bethesda, MD.

3. Lipoprotein Metabolism Laboratory, Translational Vascular Medicine Branch (A.W., A.T.R., J.D.O.), National Heart, Lung, and Blood Institute, Bethesda, MD.

4. Labcorp, Morrisville, NC (M.A.C.).

5. Department of Laboratory Medicine, Clinical Center, National Institutes of Health, Bethesda, MD (M.S.).

6. Division of Epidemiology, Department of Quantitative Health Sciences (S.J.B.)

7. Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic College of Medicine and Science, Rochester, MN (N.B.L.).

8. Department of Statistics, Sookmyung Women’s University, Seoul, Korea (H.P.).

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 risk stratification was improved over the Meta-Analysis Global Group in Chronic Heart Failure clinical risk score and NT-proBNP (N-terminal pro-B-type natriuretic peptide) levels were assessed. RESULTS: The study included 1382 patients (median age, 78 years, 52% men, 43% reduced ejection fraction) with a 5-year survival rate of 48% (95% CI, 46%–51%). The MRS included 9 metabolites measured. In the validation data set, a 1 standard deviation increase in the MRS was associated with a large increased rate of death (hazard ratio, 2.2 [95% CI, 1.9–2.5]) that remained after adjustment for Meta-Analysis Global Group in Chronic Heart Failure score and NT-proBNP (hazard ratio, 1.6 [95% CI, 1.3–1.9]). These associations did not differ by ejection fraction. The integrated discrimination and net reclassification indices, and Uno’s C statistic, indicated that the addition of the MRS improved discrimination over Meta-Analysis Global Group in Chronic Heart Failure and NT-proBNP. CONCLUSIONS: This MRS developed in a heart failure community cohort was associated with a large excess risk of death and improved risk stratification beyond an established risk score and clinical markers.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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