Utilizing NT-proBNP for Eligibility and Enrichment in Trials in HFpEF, HFmrEF, and HFrEF

被引:64
作者
Savarese, Gianluigi [1 ]
Orsini, Nicola [2 ]
Hage, Camilla [1 ]
Vedin, Ola [3 ,4 ]
Cosentino, Francesco [1 ,5 ]
Rosano, Giuseppe M. C. [6 ,7 ]
Dahlstrom, Ulf [8 ,9 ]
Lund, Lars H. [1 ,5 ]
机构
[1] Karolinska Inst, Dept Med, Div Cardiol, Stockholm, Sweden
[2] Karolinska Inst, Dept Publ Hlth Sci, Stockholm, Sweden
[3] Uppsala Univ, Dept Med Sci, Uppsala, Sweden
[4] Uppsala Clin Res Ctr, Uppsala, Sweden
[5] Karolinska Univ Hosp, Heart & Vasc Theme, Stockholm, Sweden
[6] St Georges Univ, Cardiovasc & Cell Sci Res Inst, London, England
[7] Ist Ricovero & Cura Carattere Sci IRCCS San Raffa, Rome, Italy
[8] Linkoping Univ, Dept Cardiol, Linkoping, Sweden
[9] Linkoping Univ, Dept Med & Hlth Sci, Linkoping, Sweden
基金
瑞典研究理事会;
关键词
eligibility; heart failure; N-terminal pro-B-type natriuretic peptide; registry; trials; BRAIN NATRIURETIC PEPTIDE; CONGESTIVE-HEART-FAILURE; PROGNOSTIC IMPACT; MORTALITY; ASSOCIATION; DYSFUNCTION; SURVIVAL; THERAPY; CARVEDILOL; MORBIDITY;
D O I
10.1016/j.jchf.2017.12.014
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
OBJECTIVES The purpose of this study was to assess the association between N-terminal pro-B-type natriuretic peptide (NT-proBNP) and cardiovascular (CV) versus non-CV events and between NT-proBNP and potential treatment effects in heart failure (HF) with preserved, mid-range, and reduced ejection fraction (HFpEF, HFmrEF, and HFrEF, respectively) and clinically relevant subgroups. BACKGROUND Optimizing patient eligibility criteria in HF trials requires biomarkers that enrich for CV but not for non-CV events and select patients most likely to respond to the tested intervention. METHODS In the Swedish HF registry population stratified by EF category, we used Kaplan-Meier curves to estimate unadjusted CV and non-CV risks (mortality or hospitalization); Poisson regressions to calculate crude event rates of CV and non-CV events according to NT-proBNP levels; and Cox regressions to calculate the adjusted hazard ratios for HF therapies according to NT-proBNP <= or > median. RESULTS In a cohort of 15,849 patients (23% HFpEF, 21% HFmrEF, 56% HFrEF), median NT-proBNP was 2,037, 2,192, and 3,141 pg/ml, respectively. With increasing NT-proBNP, CV event rates increased more steeply than non-CV rates (range 20 to 160 and 30 to 100 per 100 patient-years in HFpEF; 20 to 130 and 20 to 100 in HFmrEF; and 20 to 110 and 20 to 50 in HFrEF, respectively). The CV-to-non-CV ratio increased with increasing NT-proBNP in HFpEF and HFrEF, but only in the lower range in HFmrEF. The association between treatments (e.g., angiotensin-converting enzyme-inhibitor, angiotensin II receptor blockers, and beta-blockers) and outcomes was consistent in NT-proBNP <= and > median. CONCLUSIONS In HF trial design in different EF categories, NT-proBNP may be a useful tool for eligibility and enrichment for CV events, but its role in predicting a potential treatment response remains unclear. (c) 2018 by the American College of Cardiology Foundation.
引用
收藏
页码:246 / 256
页数:11
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