Carr Susan J, Bavanandan Sunita, Fentum Barbara, Ng Leong
Department of Nephrology, University Hospital of Leicester, Leicester General Hospital, Gwendolen Road, Leicester LE5 4PW, UK.
Clin Sci (Lond). 2005 Jul;109(1):75-82. doi: 10.1042/CS20040351.
In the present study, we investigated the potential of N-BNP (N-terminal B-type natriuretic peptide) as a prognostic marker for risk of CV (cardiovascular) events, overall mortality and progression to ESRD (end-stage renal disease) in a cohort of 83 pre-dialysis CKD (chronic kidney disease) patients without clinical evidence of heart failure. During the study, ten patients reached the combined end point of overall mortality and/or CV event. Univariate factors associated with the combined end point were plasma N-BNP (P < 0.0005), creatinine (P < 0.002), systolic blood pressure (P < 0.009) and age (P < 0.015). N-BNP levels were higher in patients with CV events (P < 0.0005). Cox model regression analysis yielded log10 N-BNP (hazard ratio, 9.608; P < 0.007) and pre-existing CV disease (hazard ratio, 4.571; P < 0.029) as independent predictors of overall mortality or CV events. Kaplan-Meier analysis curves for the subgroup with supramedian creatinine levels (225 micromol/l) showed significant separation of the curves stratified for plasma N-BNP levels above and below the group median (291 pmol/l) for all end points. Receiver-operator-characteristic curves for N-BNP (355 pmol/l cut-off) demonstrated a specificity of 65.8% at a sensitivity of 100% for predicting CV events/overall mortality. The measurement of plasma N-BNP may aid in the risk stratification of pre-dialysis CKD patients. The high sensitivity and negative predictive value (100%) may enable the selection of patients who could safely be excluded from further investigations, resulting in better focusing of resources.
在本研究中,我们调查了N末端B型利钠肽(N-BNP)作为83例无心力衰竭临床证据的透析前慢性肾脏病(CKD)患者发生心血管(CV)事件、全因死亡率及进展至终末期肾病(ESRD)风险的预后标志物的潜力。研究期间,10例患者达到了全因死亡率和/或CV事件的联合终点。与联合终点相关的单因素包括血浆N-BNP(P<0.0005)、肌酐(P<0.002)、收缩压(P<0.009)和年龄(P<0.015)。发生CV事件的患者N-BNP水平更高(P<0.0005)。Cox模型回归分析得出,log10 N-BNP(风险比,9.608;P<0.007)和既往存在的CV疾病(风险比,4.571;P<0.029)是全因死亡率或CV事件的独立预测因素。肌酐水平高于中位数(225微摩尔/升)亚组的Kaplan-Meier分析曲线显示,所有终点的曲线根据血浆N-BNP水平高于或低于组中位数(291皮摩尔/升)进行分层时存在显著分离。N-BNP(截断值为355皮摩尔/升)的受试者工作特征曲线显示,预测CV事件/全因死亡率时,敏感性为100%时特异性为65.8%。血浆N-BNP的检测可能有助于透析前CKD患者的风险分层。高敏感性和阴性预测值(100%)可能有助于选择可安全排除进一步检查的患者,从而更好地集中资源。