Pedrazzini Giovanni Battista, Masson Serge, Latini Roberto, Klersy Catherine, Rossi Maria Grazia, Pasotti Elena, Faletra Francesco Fulvio, Siclari Francesco, Minervini Fabrizio, Moccetti Tiziano, Auricchio Angelo
Division of Cardiology, Cardiocentro Ticino, Lugano, Switzerland.
Am J Cardiol. 2008 Sep 15;102(6):749-54. doi: 10.1016/j.amjcard.2008.04.055. Epub 2008 Jun 26.
The accuracy of the logistic EuroSCORE (logES), a widely used risk prediction algorithm for cardiac surgery including aortic valve surgery, usually overestimates observed perioperative mortality. Elevated brain natriuretic peptide (BNP) in symptomatic patients with aortic stenosis (AS) is associated with a poor short-term outcome after aortic valve replacement. We aimed to compare BNP with the logES for predicting short- and long-term outcome in symptomatic patients with severe AS undergoing aortic valve replacement. We prospectively studied 144 consecutive patients referred for aortic valve replacement (42% women, 73 +/- 9 years, mean aortic gradient 51 +/- 18 mm Hg, and left ventricular ejection fraction 61 +/- 11%) undergoing either isolated aortic valve replacement (58%) or combined to bypass grafting. Both plasma BNP and logES was estimated before surgery. The median BNP plasma level and logES were 157 pg/ml (interquartile range [IQR] 61 to 440) and 6.6% (IQR 4.2 to 12.2), respectively. The perioperative mortality was 6% and the overall mortality by the end of the study was 13%. Patients with logES >10.1% (upper tertile) had a higher risk of dying over time (hazard ratio [HR] 2.86, p = 0.037), as had patients with BNP >312 pg/ml (HR 9.01, p <0.001). Discrimination (based on C statistic) and model performance (based on Akaike information criterion) were better for BNP than for logES. At the bivariable analysis, only BNP was an independent predictor of death (HR 8.2, p = 0.002). Preoperative BNP was even more accurate than logES in predicting outcome. In conclusion, in symptomatic patients with severe AS, high preoperative BNP plasma level and high logES confirm their predicting value for short- and long-term outcome.
逻辑欧洲心脏手术风险评估系统(logES)是一种广泛应用于包括主动脉瓣手术在内的心脏手术的风险预测算法,其准确性通常会高估观察到的围手术期死亡率。有症状的主动脉瓣狭窄(AS)患者脑钠肽(BNP)升高与主动脉瓣置换术后短期预后不良相关。我们旨在比较BNP与logES在预测重度有症状AS患者接受主动脉瓣置换术后短期和长期预后方面的作用。我们前瞻性研究了144例连续接受主动脉瓣置换术的患者(42%为女性,年龄73±9岁,平均主动脉瓣压差51±18mmHg,左心室射血分数61±11%),这些患者接受单纯主动脉瓣置换术(58%)或联合冠状动脉搭桥术。术前测定血浆BNP和logES。BNP血浆水平中位数和logES分别为157pg/ml(四分位数间距[IQR]61至440)和6.6%(IQR4.2至12.2)。围手术期死亡率为6%,研究结束时总死亡率为13%。logES>10.1%(上三分位数)的患者随时间死亡风险更高(风险比[HR]2.86,p=0.037),BNP>312pg/ml的患者也是如此(HR9.01,p<0.001)。BNP在区分能力(基于C统计量)和模型性能(基于赤池信息准则)方面优于logES。在多变量分析中,只有BNP是死亡的独立预测因素(HR8.2,p=0.002)。术前BNP在预测预后方面甚至比logES更准确。总之,在有症状的重度AS患者中,术前高BNP血浆水平和高logES证实了它们对短期和长期预后的预测价值。