Guo Juan, Hu Yugang, Cao Sheng, Feng Chuangli, Huang Xin, Zhou Qing
Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, Wuhan 430061, China.
J Cardiovasc Dev Dis. 2022 Sep 21;9(10):316. doi: 10.3390/jcdd9100316.
Background: We aimed to demonstrate whether the preoperative transthoracic echocardiography index (TTEI) could improve the predictive value of clinical parameters for cardiac valve surgery-associated acute kidney injury (CVS−AKI). Methods: A total of 213 patients who underwent surgical CVS at Renmin Hospital of Wuhan University were consecutively recruited in this retrospective study. TTE assessments were performed within 7 days before surgery and logistic regression was used to determine TTEI. A nomogram was constructed by integrating TTEI and clinical features, and the net reclassification index (NRI) and integrated discrimination improvement (IDI) were applied to evaluate the improvement in TTEI for CVS−AKI. Results: Among them, 66 patients (30.9%) developed CVS−AKI. The TTEI was calculated as follows: −6.579 + 0.068 × pulmonary artery systolic pressure (mmHg) −0.742 × LVEF (>55%, yes or no) + 0.346 × left ventricle posterior wall thickness (mm). The nomogram based on the TEEI and other clinical factors possessed excellent performance (C-index = 0.880), had great calibration and discrimination, and was clinically useful. Furthermore, NRI (0.07, 95% confidence interval, 95%CI, 0.01−0.12, p = 0.02) and IDI (0.08, 95%CI, 0.01−0.20, p = 0.02) indicated that TTEI could significantly improve the predictive value of clinical features for CVS−AKI. Conclusions: As a simple access and cost-effective parameter, the preoperative TTEI may be a reliable and useful factor for CVS−AKI.
我们旨在证明术前经胸超声心动图指数(TTEI)是否能提高临床参数对心脏瓣膜手术相关急性肾损伤(CVS−AKI)的预测价值。方法:本回顾性研究连续纳入了武汉大学人民医院213例行心脏瓣膜手术的患者。在术前7天内进行经胸超声心动图(TTE)评估,并采用逻辑回归确定TTEI。通过整合TTEI和临床特征构建列线图,并应用净重新分类指数(NRI)和综合鉴别改善指数(IDI)来评估TTEI对CVS−AKI预测价值的改善情况。结果:其中66例患者(30.9%)发生了CVS−AKI。TTEI的计算方法如下:−6.579 + 0.068×肺动脉收缩压(mmHg)−0.742×左心室射血分数(>55%,是或否)+ 0.346×左心室后壁厚度(mm)。基于TTEI和其他临床因素的列线图具有优异的性能(C指数 = 0.880),具有良好的校准和鉴别能力,且具有临床实用性。此外,NRI(0.07,95%置信区间,95%CI,0.01−0.12,p = 0.02)和IDI(0.08,95%CI,0.01−0.20,p = 0.02)表明TTEI可显著提高临床特征对CVS−AKI的预测价值。结论:作为一种简单易获取且经济有效的参数,术前TTEI可能是CVS−AKI的一个可靠且有用的因素。