Heart Failure Unit, Hospital Universitari Germans Trias i Pujol, Badalona, Spain.
Mayo Clin Proc. 2013 Mar;88(3):234-43. doi: 10.1016/j.mayocp.2012.09.016. Epub 2013 Feb 4.
To assess an innovative multimarker strategy for risk stratification of death in a real-life ambulatory heart failure (HF) cohort.
The study included 876 consecutive outpatients (median age, 70.3 years; left ventricular ejection fraction, 34%) between May 22, 2006, and July 7, 2010, prospectively followed up in a structured HF unit. A combination of biomarkers reflecting myocardial stretch (N-terminal pro-B-type natriuretic peptide [NT-proBNP]), myocyte injury (high-sensitivity cardiac troponin T [hs-cTnT]), and ventricular fibrosis and remodeling (high-sensitivity ST2 [hs-ST2]) were added to an assessment based on established mortality risk factors (age, sex, left ventricular ejection fraction, New York Heart Association functional class, diabetes mellitus, estimated glomerular filtration rate, ischemic etiology, sodium level, hemoglobin level, and pharmacologic treatment).
During median follow-up of 41.4 months, 311 patients died. The combined addition of hs-cTnT and hs-ST2 to the model yielded good measurements of performance (C statistic, 0.789; Bayesian information criterion, 3611; integrated discrimination improvement, 4.1 [95% CI, 2.5-5.6]; and net reclassification index, 13.9% [95% CI, 6.2-21.6]). Reclassification did not significantly benefit after NT-proBNP addition into the full model; some indices even worsened with all 3 biomarkers. Separate addition of NT-proBNP provided prognostic discrimination only in the subgroup of patients with either hs-cTnT or hs-ST2 levels below the cutoff points (hazard ratio, 2.97; 95% CI, 2.24-9.39; P<.001).
A multimarker strategy seems useful for stratifying risk in chronic HF. However, NT-proBNP in addition to the new-generation biomarkers hs-cTnT and hs-ST2 had a limited effect on risk stratification.
评估一种创新的多标志物策略,用于对真实生活中的门诊心力衰竭(HF)患者队列的死亡风险进行分层。
这项研究纳入了 2006 年 5 月 22 日至 2010 年 7 月 7 日期间前瞻性随访的 876 例连续门诊心力衰竭患者(中位数年龄 70.3 岁;左心室射血分数 34%),这些患者在一个结构化的 HF 单元中接受治疗。将反映心肌拉伸的生物标志物(N 末端 pro-B 型利钠肽[NT-proBNP])、心肌损伤的生物标志物(高敏心肌肌钙蛋白 T[hs-cTnT])和心室纤维化及重塑的生物标志物(高敏 ST2[hs-ST2])组合,加入到基于已确立的死亡率危险因素(年龄、性别、左心室射血分数、纽约心脏协会功能分级、糖尿病、估算肾小球滤过率、缺血性病因、钠水平、血红蛋白水平和药物治疗)的评估中。
在中位数为 41.4 个月的随访期间,有 311 例患者死亡。hs-cTnT 和 hs-ST2 的联合加入使模型的性能得到了很好的评估(C 统计量为 0.789;贝叶斯信息准则为 3611;综合鉴别改善为 4.1[95%置信区间,2.5-5.6];净重新分类指数为 13.9%[95%置信区间,6.2-21.6])。在加入完整模型后,NT-proBNP 的添加并没有显著改善再分类;一些指标甚至在加入所有 3 种生物标志物后恶化。NT-proBNP 的单独添加仅在 hs-cTnT 或 hs-ST2 水平低于临界值的患者亚组中提供了预后的鉴别能力(危险比为 2.97;95%置信区间,2.24-9.39;P<.001)。
多标志物策略似乎可用于对慢性 HF 患者进行风险分层。然而,除了新一代的生物标志物 hs-cTnT 和 hs-ST2 外,NT-proBNP 对风险分层的作用有限。