Head-to-head comparison of serial soluble ST2, growth differentiation factor-15, and highly-sensitive troponin T measurements in patients with chronic heart failure
Hanna K Gaggin, Jackie Szymonifka, Anju Bhardwaj, Arianna Belcher, Benedetta De Berardinis, Shweta Motiwala, Thomas J Wang, James L Januzzi Jr, Hanna K Gaggin, Jackie Szymonifka, Anju Bhardwaj, Arianna Belcher, Benedetta De Berardinis, Shweta Motiwala, Thomas J Wang, James L Januzzi Jr
Abstract
Objectives: This analysis aimed to perform a head-to-head comparison of 3 of the promising biomarkers of cardiovascular (CV) outcomes in heart failure (HF)-soluble ST2 (sST2), growth differentiation factor (GDF)-15, and highly-sensitive troponin T (hsTnT)-and to evaluate the role of serial measurement of these biomarkers in patients with chronic HF.
Background: sST2, GDF-15, and hsTnT are strongly associated with CV outcomes in HF.
Methods: This post-hoc analysis used data from a study in which 151 patients with chronic HF due to left ventricular systolic dysfunction were followed up over 10 months. At each visit, N-terminal pro-B-type natriuretic peptide (NT-proBNP), sST2, GDF-15, and hsTnT were measured and any major CV events were recorded.
Results: Baseline values of all 3 novel biomarkers independently predicted total CV events even after adjusting for clinical and biochemical characteristics, including NT-proBNP, with the best model including all 3 biomarkers (p < 0.001). Adding serial measurement to the base model appeared to improve the model's predictive ability (with sST2 showing the most promise), but it is not clear whether this addition is a unique contribution. However, when time-dependent factors were included, only sST2 serial measurement independently added to the risk model (odds ratio: 3.64; 95% confidence interval: 1.37 to 9.67; p = 0.009) and predicted reverse myocardial remodeling (odds ratio: 1.22; 95% confidence interval: 1.04 to 1.43; p = 0.01).
Conclusions: In patients with chronic HF, baseline measurement of novel biomarkers added independent prognostic information to clinical variables and NT-proBNP. Only serial measurement of sST2 appeared to add prognostic information to baseline concentrations and predicted change in left ventricular function. (Use of NT-proBNP Testing to Guide Heart Failure Therapy in the Outpatient Setting (PROTECT)]; NCT00351390).
Keywords: biomarker; heart failure; prognosis.
Copyright © 2014 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.
Source: PubMed