Prognostic Value of Biomarkers in Heart Failure Application of Novel Methods in the Community

被引:42
作者
Dunlay, Shannon M. [2 ]
Gerber, Yariv [1 ,3 ]
Weston, Susan A. [1 ]
Killian, Jill M. [1 ]
Redfield, Margaret M. [2 ]
Roger, Veronique L. [1 ,2 ]
机构
[1] Mayo Clin, Dept Hlth Sci Res, Rochester, MN 55905 USA
[2] Mayo Clin, Div Cardiovasc Dis, Rochester, MN 55905 USA
[3] Tel Aviv Univ, Sackler Sch Med, Sch Publ Hlth, Dept Epidemiol & Prevent Med, IL-69978 Tel Aviv, Israel
关键词
epidemiology; heart failure; prognosis; inflammation; community; C-REACTIVE PROTEIN; NATRIURETIC PEPTIDE; CARDIAC TROPONIN; PREDICTIVE ABILITY; ROC CURVE; MORTALITY; SURVIVAL; TRENDS; DEATH; RECLASSIFICATION;
D O I
10.1161/CIRCHEARTFAILURE.109.849299
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background-Mortality among patients with heart failure is high. Though individual biomarkers have been investigated to determine their value in mortality risk prediction, the role of a multimarker strategy requires further evaluation. Methods and Results-Olmsted County residents presenting with heart failure from July 2004 to September 2007 were recruited to undergo biomarker measurement. We investigated whether addition of C-reactive protein, B-type natriuretic peptide, and troponin T to a model including established risk indicators improved 1-year mortality risk prediction using the c statistic, integrated discrimination improvement, and net reclassification improvement. Among 593 participants, the mean age was 76.4 years, and 48% were men. After 1 year of follow-up, 122 (20.6%) participants had died. Patients with C-reactive protein (<11.8 mg/L), B-type natriuretic peptide (<350 pg/mL), and troponin T (<= 0.01 ng/mL) less than the median had low 1-year mortality (3.3%), whereas those with 2 or 3 biomarkers greater than the median had markedly increased mortality (30.8% and 35.5%, respectively). The addition of 2 or more biomarkers to the model offered greater improvement in 1-year mortality risk prediction than use of a single biomarker. The combination of C-reactive protein and B-type natriuretic peptide resulted in an increase in the c statistic from 0.757 to 0.810 (P<0.001), an integrated discrimination improvement gain of 7.1% (P<0.001), and a net reclassification improvement of 22.1% (P<0.001). Use of all 3 biomarkers offered no incremental gain (integrated discrimination improvement gain 0.7% versus C-reactive protein+B-type natriuretic peptide, P=0.065). Conclusions-Biomarkers improved 1-year mortality risk prediction beyond established indicators. The use of a 2-biomarker combination was superior to a single biomarker in risk prediction, though addition of a third biomarker conferred no added benefit. (Circ Heart Fail. 2009;2:393-400.)
引用
收藏
页码:393 / 400
页数:8
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