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Amino acid-based metabolic profile provides functional assessment and prognostic value for heart failure outpatients

  • Chang Gung Memorial Hospital
  • Chang Gung University
  • National Yang Ming Chiao Tung University

Research output: Contribution to journalJournal Article peer-review

10 Scopus citations

Abstract

Functional capacity is a crucial parameter correlated with outcomes. The currently used New York Heart Association functional classification (NYHA Fc) system has substantial limitations, leading to inaccurate classification. This study investigated whether amino acid-based assessment on metabolic status provides an objective way to assess functional capacity and prognosis in heart failure (HF) outpatients. Plasma concentrations of histidine, ornithine, and phenylalanine (HOP) were measured on 890 HF outpatients to assess metabolic status by calculating the HOP score. Cardiopulmonary exercise testing (CPET) was performed in 387 patients to measure metabolic equivalents (MET) in order to define the functional class based on MET (MET Fc). Patients were followed for composite events (death/HF-related rehospitalization) up to one year. We found only 47% concordance between the MET Fc and NYHA Fc. HOP scores worked better than NYHA Fc for discriminating patients with MET Fc II and III from those with MET Fc I, with the optimal cutoff value set at 8.8. HOPscores ≥ 8 8 were associated with risk factors for composite events in different kinds of HF populations and were a powerful predictor of composite events in univariate analysis. In multivariable analysis, HOPscores ≥ 8 8 remained a powerful event predictor, independent of other risk factors. Kaplan- Meier curves revealed that HOP scores of ≥ 8.8 stratified patients at higher risk of composite events in a variety of HF populations. In conclusion, amino acid-based assessment of metabolic status correlates with functional capacity in HF outpatients and provides prognostic value for a variety of HF populations.

Original languageEnglish
Article number8632726
JournalDisease Markers
Volume2019
DOIs
StatePublished - 2019

Bibliographical note

Publisher Copyright:
Copyright © 2019 Chao-Hung Wang et al.

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