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Combining Circulating MicroRNA and NT-proBNP to Detect and Categorize Heart Failure Subtypes

Authors :
Michelle Chan
Raymond Wong
Adrian F. Low
Heng-Phon Too
Yei Tsung Chen
Jessica Y.X. Ng
Jenny P.C. Chong
Dominic C.Y. Phua
Poh Shuan D. Yeo
Gerry Devlin
Richard W. Troughton
Arthur Mark Richards
Chengcheng Liu
Carolyn S.P. Lam
Hean Yee Ong
Fazlur Jaufeerally
Jia Yuen Lim
Siew Pang Chan
Vicky A. Cameron
Lieng H. Ling
Tze Pin Ng
Kui Toh G. Leong
Ping Chai
Lee Lee Wong
David Sim
Oi Wah Liew
Ruiyang Zou
Lihan Zhou
Robert N. Doughty
M. Lund
Source :
Journal of the American College of Cardiology. 73:1300-1313
Publication Year :
2019
Publisher :
Elsevier BV, 2019.

Abstract

Background Clinicians need improved tools to better identify nonacute heart failure with preserved ejection fraction (HFpEF). Objectives The purpose of this study was to derive and validate circulating microRNA signatures for nonacute heart failure (HF). Methods Discovery and validation cohorts (N = 1,710), comprised 903 HF and 807 non-HF patients from Singapore and New Zealand (NZ). MicroRNA biomarker panel discovery in a Singapore cohort (n = 546) was independently validated in a second Singapore cohort (Validation 1; n = 448) and a NZ cohort (Validation 2; n = 716). Results In discovery, an 8-microRNA panel identified HF with an area under the curve (AUC) 0.96, specificity 0.88, and accuracy 0.89. Corresponding metrics were 0.88, 0.66, and 0.77 in Validation 1, and 0.87, 0.58, and 0.74 in Validation 2. Combining microRNA panels with N-terminal pro–B-type natriuretic peptide (NT-proBNP) clearly improved specificity and accuracy from AUC 0.96, specificity 0.91, and accuracy 0.90 for NT-proBNP alone to corresponding metrics of 0.99, 0.99, and 0.93 in the discovery and 0.97, 0.96, and 0.93 in Validation 1. The 8-microRNA discovery panel distinguished HFpEF from HF with reduced ejection fraction with AUC 0.81, specificity 0.66, and accuracy 0.72. Corresponding metrics were 0.65, 0.41, and 0.56 in Validation 1 and 0.65, 0.41, and 0.62 in Validation 2. For phenotype categorization, combined markers achieved AUC 0.87, specificity 0.75, and accuracy 0.77 in the discovery with corresponding metrics of 0.74, 0.59, and 0.67 in Validation 1 and 0.72, 0.52, and 0.68 in Validation 2, as compared with NT-proBNP alone of AUC 0.71, specificity 0.46, and accuracy 0.62 in the discovery; with corresponding metrics of 0.72, 0.44, and 0.57 in Validation 1 and 0.69, 0.48, and 0.66 in Validation 2. Accordingly, false negative (FN) (81% Singapore and all NZ FN cases were HFpEF) as classified by a guideline-endorsed NT-proBNP ruleout threshold, were correctly reclassified by the 8-microRNA panel in the majority (72% and 88% of FN in Singapore and NZ, respectively) of cases. Conclusions Multi-microRNA panels in combination with NT-proBNP are highly discriminatory and improved specificity and accuracy in identifying nonacute HF. These findings suggest potential utility in the identification of nonacute HF, where clinical assessment, imaging, and NT-proBNP may not be definitive, especially in HFpEF.

Details

ISSN :
07351097
Volume :
73
Database :
OpenAIRE
Journal :
Journal of the American College of Cardiology
Accession number :
edsair.doi.dedup.....a4df8560fbb3790a73cdaf201bd44288
Full Text :
https://doi.org/10.1016/j.jacc.2018.11.060