Wang Dashuai, Ding Xiangchao, Su Yunshu, Yang Peiwen, Du Xinling, Sun Manda, Huang Xiaofan, Yue Zhang, Sun Fuqiang, Xie Fei, Liu Chao
Department of Cardiovascular Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Cardiovascular Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Front Cardiovasc Med. 2022 Jun 28;9:934533. doi: 10.3389/fcvm.2022.934533. eCollection 2022.
Hypoxemia is common in patients undergoing cardiac surgery, however, few studies about severe hypoxemia (SH) after cardiac surgery exist. The objectives of this study were to clarify the incidence, risk factors, and outcomes of SH after cardiac surgery.
Patients undergoing cardiac surgery from 2016 to 2019 in a single center were enrolled and were divided into two groups based on whether postoperative SH developed. Independent risk factors for SH were identified by univariate and multivariate analysis. Model selection statistics were applied to help determine the most parsimonious final model.
Severe hypoxemia developed in 222 of the 5,323 included patients (4.2%), was associated with poorer clinical outcomes. Six independent risk factors for SH after cardiac surgery were identified by multivariate analysis, such as surgical types, white blood cell (WBC) count, body mass index (BMI), serum albumin, cardiopulmonary bypass (CPB) time, and intraoperative transfusion of red blood cells (RBCs). After comprehensively considering the discrimination, calibration, and simplicity, the most appropriate and parsimonious model was finally established using four predictors, such as WBC count, BMI, CPB time, and intraoperative transfusion of RBCs. A nomogram and a web-based risk calculator based on the final model were constructed to facilitate clinical practice. Patients were stratified into three risk groups based on the nomogram and clinical practice.
Severe hypoxemia was common after cardiac surgery and was associated with poorer clinical outcomes. A parsimonious final model with good discrimination, calibration, and clinical utility was constructed, which may be helpful for personalized risk assessment and targeted intervention.
低氧血症在接受心脏手术的患者中很常见,然而,关于心脏手术后严重低氧血症(SH)的研究很少。本研究的目的是阐明心脏手术后SH的发生率、危险因素和结局。
纳入2016年至2019年在单一中心接受心脏手术的患者,并根据术后是否发生SH分为两组。通过单因素和多因素分析确定SH的独立危险因素。应用模型选择统计方法来帮助确定最简约的最终模型。
在纳入的5323例患者中,222例(4.2%)发生了严重低氧血症,与较差的临床结局相关。多因素分析确定了心脏手术后SH的六个独立危险因素,如手术类型、白细胞(WBC)计数、体重指数(BMI)、血清白蛋白、体外循环(CPB)时间和术中输注红细胞(RBC)。在综合考虑区分度、校准度和简约性后,最终使用四个预测因素(如WBC计数、BMI、CPB时间和术中输注RBC)建立了最合适和最简约的模型。构建了基于最终模型的列线图和基于网络的风险计算器,以方便临床实践。根据列线图和临床实践将患者分为三个风险组。
严重低氧血症在心脏手术后很常见,且与较差的临床结局相关。构建了一个具有良好区分度、校准度和临床实用性的简约最终模型,这可能有助于个性化风险评估和针对性干预。