Department of Cardiac Surgery, S.Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
Department of Cardiac Surgery, S.Orsola-Malpighi Hospital, University of Bologna, Bologna, Italy.
J Thorac Cardiovasc Surg. 2015 Jul;150(1):127-33.e1. doi: 10.1016/j.jtcvs.2015.04.008. Epub 2015 Apr 9.
The development of acute kidney injury (AKI) in cardiac surgery is associated with increased morbidity and mortality. The aim of the study was to assess the incidence and risk factors for AKI after thoracic aorta surgery, using antegrade selective cerebral perfusion (ASCP) and moderate hypothermia.
We reviewed 641 patients undergoing thoracic aortic surgery, using ASCP and moderate hypothermia, from November 1996 to December 2012. Patient preoperative, intraoperative, and postoperative variables were evaluated for association with AKI with logistic regression analysis. Models including all variables and models, after the sequential removal of postoperative, and both postoperative and intraoperative variables, were assessed using receiver operating characteristic analysis.
The mean age of the patients was 62.9 years, and 194 patients (30%) were women. The overall incidence of AKI was 19.0%. In-hospital mortality was significantly higher in the AKI group (33.6% vs 6.7%; P < .001). Logistic regression analysis identified 8 predictors of AKI: 4 of them were preoperative (priority, diabetes, preoperative glomerular filtration rate, and weight); 2 intraoperative (mitral valve and aortic valve replacement); and 2 postoperative (overall neurologic complication and reoperation for bleeding). Model-discrimination performance improved from an area under the curve (AUC) of 0.737, for the model including only preoperative variables, to an AUC of 0.798 for the model including all variables (P = .012).
The incidence of AKI after thoracic aorta surgery is fairly common, and its occurrence strongly affects outcomes. Preoperative renal status and preoperative conditions are the main influences on AKI development. Predictive models can be improved by adding intraoperative and postoperative variables.
心脏手术中急性肾损伤(AKI)的发展与发病率和死亡率的增加有关。本研究的目的是评估使用顺行选择性脑灌注(ASCP)和中度低温的情况下,胸主动脉手术后 AKI 的发生率和危险因素。
我们回顾了 1996 年 11 月至 2012 年 12 月期间接受 ASCP 和中度低温的 641 例胸主动脉手术患者。使用逻辑回归分析评估患者术前、术中、术后变量与 AKI 的关系。使用受试者工作特征分析评估包括所有变量的模型以及逐步去除术后和同时去除术后和术中变量的模型。
患者的平均年龄为 62.9 岁,194 例(30%)为女性。AKI 的总发生率为 19.0%。AKI 组的院内死亡率显著更高(33.6%比 6.7%;P<.001)。逻辑回归分析确定了 8 个 AKI 的预测因素:其中 4 个是术前因素(优先权、糖尿病、术前肾小球滤过率和体重);2 个术中因素(二尖瓣和主动脉瓣置换);2 个术后因素(总神经并发症和出血再手术)。仅包括术前变量的模型的曲线下面积(AUC)从 0.737 提高到包括所有变量的模型的 AUC 为 0.798(P=.012)。
胸主动脉手术后 AKI 的发生率相当常见,其发生强烈影响结局。术前肾功能和术前状况是 AKI 发展的主要影响因素。通过添加术中及术后变量,预测模型可以得到改善。