The Third Affiliated Hospital of Southern Medical University, 183 Zhongshan Avenue West, Tianhe District, Guangdong Province, Guangzhou City, China.
The First People's Hospital of Foshan, 81 Lingnan Avenue, Chancheng District, Guangdong Province, Foshan City, China.
BMC Anesthesiol. 2022 Dec 7;22(1):379. doi: 10.1186/s12871-022-01925-w.
Acute kidney injury (AKI) is a common and severe complication of cardiac surgery with cardiopulmonary bypass (CPB). This study aimed to establish a model to predict the probability of postoperative AKI in patients undergoing cardiac surgery with CPB.
We conducted a retrospective, multicenter study to analyze 1082 patients undergoing cardiac surgery under CPB. The least absolute shrinkage and selection operator regression model was used to optimize feature selection for the AKI model. Multivariable logistic regression analysis was applied to build a prediction model incorporating the feature selected in the previously mentioned model. Finally, we used multiple methods to evaluate the accuracy and clinical applicability of the model.
Age, gender, hypertension, CPB duration, intraoperative 5% bicarbonate solution and red blood cell transfusion, urine volume were identified as important factors. Then, these risk factors were created into nomogram to predict the incidence of AKI after cardiac surgery under CPB.
We developed a nomogram to predict the incidence of AKI after cardiac surgery. This model can be used as a reference tool for evaluating early medical intervention to prevent postoperative AKI.
急性肾损伤（AKI）是体外循环（CPB）心脏手术后常见且严重的并发症。本研究旨在建立一种模型，以预测行 CPB 心脏手术患者术后 AKI 的概率。
我们进行了一项回顾性、多中心研究，分析了 1082 例行 CPB 心脏手术的患者。使用最小绝对收缩和选择算子回归模型对 AKI 模型进行特征选择优化。应用多变量逻辑回归分析建立一个包含上述模型中选定特征的预测模型。最后，我们使用多种方法评估模型的准确性和临床适用性。
年龄、性别、高血压、CPB 持续时间、术中 5%碳酸氢钠溶液和红细胞输注、尿量被确定为重要因素。然后，这些危险因素被制成列线图，以预测 CPB 心脏手术后 AKI 的发生率。
我们开发了一种预测 CPB 心脏手术后 AKI 发生率的列线图。该模型可作为评估早期医学干预以预防术后 AKI 的参考工具。
