预测心力衰竭和植入心脏转复除颤器患者心血管事件死亡率的生物标志物

N. N. Ilov, O. V. Petrova, D. K. Tverdokhlebova, I. R. Karimov, A. A. Nechepurenko, S. A. Boytsov
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引用次数: 0

摘要

的目标。研究血液生物标志物在预测心脏转复除颤器(ICD)植入后一年内射血分数降低(HFrEF)心力衰竭患者心血管事件死亡中的作用。材料和方法。本单中心观察研究纳入384例HFrEF患者(男性占84%,NYHA III级- 74%,NYHA IV级- 7%),在ICD植入后进行1年的前瞻性观察。研究了一组原始的现代生物标志物(血电解质、c反应蛋白、肌酐、可溶性生长刺激表达基因2 (sST2)、n端前脑利钠肽(NT-proBNP)、半乳糖凝集素-3),以评估HF的发病机制。根据血肌酐浓度,采用慢性肾脏病流行病学合作(CKD-EPI)公式估算肾小球滤过率(GFR)。结果。在为期一年的观察中,35名患者(11%)记录了主要终点。单因素logistic回归显示3个生物标志物具有最大的预测潜力(p< 0.01),与研究终点的发生有关。将钾离子浓度、NT-proBNP、GFR (CKD-EPI)纳入多因素预测模型,诊断效率为68%(敏感性60%,特异性71%)。结果表明,心血管死亡风险增加2.64 (OR= 2.64;95% ci: 1,28-5,46;p=0,007), GFR为60 ml/min/1,73 m2时增加3,32 (OR=3,32;95% ci: 1,26-8,73;p= 0.012), NT-proBNP >2000 pg/ml。结论。血液生物标志物的研究在预测心衰不良结局方面是有前景的,也是有需求的。根据获得的数据,因子“GFR <60 ml/min/1,73 m2”和“NT-proBNP >2000 pg/ml”可能与1年死亡率预测有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biomarkers in predicting mortality from cardiovascular events in patients with heart failure and an implanted cardioverter-defibrillator
Aim . To study the role of blood biomarkers in predicting death from cardiovascular events in patients with heart failure with reduced ejection fraction (HFrEF) within one year after cardioverter defibrillator (ICD) implantation. Material and methods. This one-center observation study included 384 HFrEF patients (men, 84%, NYHA class III – 74%, NYHA class IV – 7%), who underwent prospective observation for 1 year after ICD implantation. The study of the original panel of modern biomarkers (blood electrolytes, C-reactive protein, creatinine, soluble growth stimulation expressed gene 2 (sST2), N-terminal pro-brain natriuretic peptide (NT-proBNP), galectin-3), allowing to evaluate HF pathogenesis was conducted. Based on the blood creatinine concentration, the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula was used to estimate the glomerular filtration rate (GFR). Results. In a one-year observation, the primary endpoint was recorded in 35 patients (11%). Single-factor logistic regression showed 3 biomarkers with the greatest predictive potential (p<0,01), related to the occurrence of the investigated endpoint. The concentration of potassium and NT-proBNP, the GFR (CKD-EPI) was included in the multi-factor predictive model with diagnostic efficiency of 68% (sensitivity of 60%, specificity 71%). It was shown that the cardiovascular death risk increased by 2,64 (OR=2,64; 95% CI: 1,28-5,46; p=0,007) at GFR <60 ml/min/1,73 m2 and increased by 3,32 (OR=3,32; 95% CI: 1,26-8,73; p=0,012) at NT-proBNP >2000 pg/ml. Conclusion. The study of blood biomarkers is promising and in demand for the prediction of adverse outcomes of HF. According to the data obtained, the factors «GFR <60 ml/min/1,73 m2» and «NT-proBNP >2000 pg/ml» may be relevant for one-year mortality prediction.
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