Yin Xin, Wang Jingwen, Xu Zhibo, Qian Fuyong, Liu Songbin, Cai Yuxi, Jiang Zhaoshun, Zhang Xixue, Gu Weidong
Department of Anesthesiology, Huadong Hospital Affiliated to Fudan University, No 221, West Yan'an Road, Shanghai, 200040, China.
Department of Oncology, Huadong Hospital Affiliated to Fudan University, Shanghai, China.
Perioper Med (Lond). 2023 May 23;12(1):18. doi: 10.1186/s13741-023-00309-z.
The present study aims to evaluate the predictive ability of estimated maximum oxygen consumption (e[Formula: see text]O) and 6-min walk distance (6MWD) for postoperative pulmonary complications (PPCs) in adult surgical patients undergoing major upper abdominal surgery.
This study was conducted by collecting data prospectively from a single center. The two predictive variables in the study were defined as 6MWD and e[Formula: see text]O. Patients scheduled for elective major upper abdominal surgery from March 2019 to May 2021 were included. The 6MWD was measured for all patients before surgery. e[Formula: see text]O was calculated using the regression model of Burr, which uses 6MWD, age, gender, weight, and resting heart rate (HR) to predict aerobic fitness. The patients were categorized into PPC and non-PPC group. The sensitivity, specificity, and optimum cutoff values for 6MWD and e[Formula: see text]O were calculated to predict PPCs. The area under the receiver operating characteristic curve (AUC) of 6MWD or e[Formula: see text]O was constructed and compared using the Z test. The primary outcome measure was the AUC of 6MWD and e[Formula: see text]O in predicting PPCs. In addition, the net reclassification index (NRI) was calculated to assess ability of e[Formula: see text]O compared with 6MWT in predicting PPCs.
A total of 308 patients were included 71/308 developed PPCs. Patients unable to complete the 6-min walk test (6MWT) due to contraindications or restrictions, or those taking beta-blockers, were excluded. The optimum cutoff point for 6MWD in predicting PPCs was 372.5 m with a sensitivity of 63.4% and specificity of 79.3%. The optimum cutoff point for e[Formula: see text]O was 30.8 ml/kg/min with a sensitivity of 91.6% and specificity of 79.3%. The AUC for 6MWD in predicting PPCs was 0.758 (95% confidence interval (CI): 0.694-0.822), and the AUC for e[Formula: see text]O was 0.912 (95%CI: 0.875-0.949). A significantly increased AUC was observed in e[Formula: see text]O compared to 6MWD in predicting PPCs (P < 0.001, Z = 4.713). And compared with 6MWT, the NRI of e[Formula: see text]O was 0.272 (95%CI: 0.130, 0.406).
The results suggested that e[Formula: see text]O calculated from the 6MWT is a better predictor of PPCs than 6MWD in patients undergoing upper abdominal surgery and can be used as a tool to screen patients at risk of PPCs.
本研究旨在评估估计最大摄氧量(e[公式:见正文]O)和6分钟步行距离(6MWD)对接受上腹部大手术的成年外科患者术后肺部并发症(PPCs)的预测能力。
本研究通过前瞻性收集单中心数据进行。研究中的两个预测变量定义为6MWD和e[公式:见正文]O。纳入2019年3月至2021年5月计划进行择期上腹部大手术的患者。所有患者术前均测量6MWD。e[公式:见正文]O使用Burr回归模型计算,该模型利用6MWD、年龄、性别、体重和静息心率(HR)来预测有氧适能。患者被分为PPC组和非PPC组。计算6MWD和e[公式:见正文]O预测PPCs的敏感性、特异性和最佳截断值。构建并使用Z检验比较6MWD或e[公式:见正文]O的受试者工作特征曲线(AUC)下面积。主要结局指标是6MWD和e[公式:见正文]O预测PPCs的AUC。此外,计算净重新分类指数(NRI)以评估e[公式:见正文]O与6MWT相比预测PPCs的能力。
共纳入308例患者,71/308例发生PPCs。因禁忌证或限制无法完成6分钟步行试验(6MWT)的患者,或服用β受体阻滞剂的患者被排除。6MWD预测PPCs的最佳截断点为372.5 m,敏感性为63.4%,特异性为79.3%。e[公式:见正文]O的最佳截断点为30.8 ml/kg/min,敏感性为91.6%,特异性为79.3%。6MWD预测PPCs的AUC为0.758(95%置信区间(CI):0.694 - 0.822),e[公式:见正文]O的AUC为0.912(95%CI:0.875 - 0.949)。在预测PPCs方面,与6MWD相比,e[公式:见正文]O的AUC显著增加(P < 0.001,Z = 4.713)。与6MWT相比,e[公式:见正文]O的NRI为0.272(95%CI:0.130,0.406)。
结果表明,对于接受上腹部手术的患者,由6MWT计算得出的e[公式:见正文]O比6MWD是更好的PPCs预测指标,可作为筛查有PPCs风险患者的工具。