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Prognostic Value of Serial Measurements of Soluble Suppression of Tumorigenicity 2 and Galectin-3 in Ambulatory Patients With Chronic Heart Failure

  • Wayne L. Miller
  • , Amy K. Saenger
  • , Diane E. Grill
  • , Joshua P. Slusser
  • , Antoni Bayes-Genis
  • , Allan S. Jaffe

Research output: Contribution to journalArticlepeer-review

Abstract

Background B-Type natriuretic peptides (BNP) and cardiac troponin T (cTnT) predict cardiovascular events in heart failure (HF) patients, but additional refinement in risk stratification may be possible by targeting pathways leading to fibrosis. We aimed to assess the value of serial measurements of soluble suppression of tumorigenicity 2 (sST2) and galectin-3 to identify risk for adverse pathophysiologic processes. Methods New York Heart Association (NYHA) functional class III–IV HF patients (n = 180; LVEF ≤40%) were prospectively evaluated with biomarkers collected every 3 months over 2 years and analyzed regarding a primary end point of death/cardiac transplantation and a secondary end point of HF-related hospitalization or death/transplantation. Results Time-dependent univariate analyses demonstrated that elevations of sST2 (≥49.3 ng/mL male, ≥33.5 ng/mL female) and galectin-3 (≥22.1 ng/mL) were predictive of the primary and secondary end points. In multivariate models adjusted for BNP, cTnT, and clinical variables, sST2 but not galectin-3 remained an independent predictor (hazard ratio 3.22, 95% confidence interval 1.76–5.89; P <.001). With serial measurements, only sST2 demonstrated incremental value in reclassifying patients to higher risk. Conclusions Serial monitoring of sST2 (indicating myocardial fibrosis and remodeling) and cTnT (reflecting myocardial injury) identifies highest-risk HF outpatients and may be valuable to guide patient tailored therapy during follow-up evaluations. Serial galectin-3 monitoring in ambulatory HF patients may not be of benefit.

Original languageEnglish (US)
Pages (from-to)249-255
Number of pages7
JournalJournal of cardiac failure
Volume22
Issue number4
DOIs
StatePublished - Jan 1 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Serial biomarkers
  • chronic heart failure
  • galectin-3
  • sST2

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