Biomarkers for characterization of heart failure - Distinction of heart failure with preserved and reduced ejection fraction

被引:46
作者
Sinning, Christoph [1 ]
Kempf, Tibor [1 ]
Schwarzl, Michael [1 ,3 ]
Lanfermann, Simon [1 ]
Ojeda, Francisco [1 ]
Schnabel, Renate B. [1 ,3 ]
Zengin, Elvin [1 ]
Wild, Philipp S. [4 ,5 ,6 ]
Lackner, Karl-J. [7 ]
Munzel, Thomas [4 ,5 ]
Blankenberg, Stefan [1 ,3 ]
Wollert, Kai C. [2 ]
Zeller, Tanja [1 ,3 ]
Westermann, Dirk [1 ,3 ]
机构
[1] Univ Heart Ctr Hamburg, Dept Gen & Intervent Cardiol, Martinistr 52, D-202246 Hamburg, Germany
[2] Hannover Med Sch, Dept Cardiol & Angiol, Div Mol & Translat Cardiol, Hannover, Germany
[3] German Ctr Cardiovasc Res DZHK, Partner Site Hamburg Kiel Lubeck, Hamburg, Germany
[4] German Ctr Cardiovasc Res DZHK, Partner Site Rhine Main, Hamburg, Germany
[5] Johannes Gutenberg Univ Mainz, Univ Med Ctr, Dept Med 2, Mainz, Germany
[6] Univ Med Ctr Mainz, Ctr Thrombosis & Hemostasis, Mainz, Germany
[7] Johannes Gutenberg Univ Mainz, Univ Med Ctr, Inst Chem & Lab Med, Mainz, Germany
基金
欧盟地平线“2020”;
关键词
Heart failure; Heart failure with reduced and preserved ejection fraction; Growth-differentiation factor-15; Soluble source of tumorigenicity 2; C-reactive protein; DIFFERENTIATION FACTOR 15; NATRIURETIC PEPTIDE; PROGNOSIS; SURVIVAL; MARKERS; GDF-15; COHORT; HEALTH; ST2;
D O I
10.1016/j.ijcard.2016.11.110
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background: Heart failure (HF) incidence is rising worldwide and HF with preserved ejection fraction (HFpEF) represents nearly half of all cases. Treatment options are still limited in HFpEF in comparison to HF with reduced ejection fraction (HFrEF). Methods: We analyzed biomarkers in the general population to characterize HFpEF and HFrEF and defined a biomarker index to differentiate HFpEF from HFrEF. Growth differentiation factor-15 (GDF-15), soluble source of tumorigenicity 2 (sST2), C-reactive protein (CRP) and NT-proBNP were measured in 5000 individuals of the population-based Gutenberg Health Study (GHS). The median follow-up time for all-cause mortality was 7.3 years with 213 events. Results: Identification of subjectswith HF was improved by GDF-15 (p < 0.001) in addition to NT-proBNP with an odds ratio (OR) of 1.4 (95% confidence interval [CI]: 1.1-1.7). Discrimination of subjectswith and without HF was slightly higher for GDF-15 (area under the ROC curve [AUC]: 0.79 [95% CI: 0.75-0.83]) compared to NT-proBNP (AUC: 0.77 [95% CI: 0.72-0.82]). For subjects with HF, differentiating HFpEF from HFrEF was feasible with the index ((CRP+ GDF-15+ sST2)/NT-proBNP) with an OR of 3.7 (95% CI: 1.9-8.5) (p < 0.001). The best biomarkers predicting all-cause mortality were NT-proBNP and GDF-15 with a hazard ratio (HR) of 1.9 (95% CI: 1.6-2.2) and 1.7 (95% CI: 1.6-1.9) (both p < 0.001), respectively. Conclusion: GDF-15 was useful to detect prevalent HF in addition to NT-proBNP and was elevated in HFrEF and HFpEF, whereas NT-proBNP was higher in HFrEF than in HFpEF. All biomarkers were useful to predict mortality in the general population. The index of ((CRP + GDF-15s + sST2)/NT-proBNP) was able to discriminate HFpEF from HFrEF. (C) 2016 Elsevier Ireland Ltd. All rights reserved.
引用
收藏
页码:272 / 277
页数:6
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