Bouassida Mahdi, Beji Hazem, Kallel Yessin, Chtourou Mohamed Fadhel, Belfkih Houda, Trabelsi Bacem, Touinsi Hassen
Department of Surgery, Mohamed Tahar Maamouri, Nabeul, Tunisia.
Tunis El Manar University, Faculty of Medicine of Tunis, Tunisia.
Ann Med Surg (Lond). 2022 Sep 1;81:104548. doi: 10.1016/j.amsu.2022.104548. eCollection 2022 Sep.
The aim of this study was to compare the accuracy of 5-mFI (modified frailty index) to ASA score (American Society of Anesthesiologists score) in predicting postoperative mortality in patients with rectal cancer.
The ability of each parameter to predict postoperative mortality was attested in 2 ways: Area under the curve (AUC) was determined using ROC curves analysis. A comparison of AUC was performed using Delong test and Henley-McNeil test.-Multivariate analysis to determine the weight of each variable in predicting postoperative mortality.
The records of 109 patients undergoing surgical resection, for curative intent, for rectal cancer, were analyzed. Nine patients died during the 30-day postoperative period (8.25%). The optimum cutoff for 5-mFI to predict mortality using the ROC analysis was 1.5. The AUC at the cut-off point was 0.93. The optimum cutoff for ASA score to predict mortality was 1.5 and the AUC at the cut-off point was 0.81. The AUC of 5-mFI was significantly higher than the AUC of ASA score (p < 0.0001 using Delong test and p = 0.0024 using Hanley and McNeil test).On univariate analysis, predictive factors of mortality were: age (p = 0.002), ASA score≥2 (p = 0.0001) and 5-mFI≥2 (p = 0.0001). On multivariate analysis, 5-mFI≥2 was the only factor significantly associated with increased odds of postoperative mortality (OR = 1.73; 95% CI 1.05-2.01).
5-mFI was more accurate than ASA score in predicting postoperative mortality in patients with rectal cancer.
本研究旨在比较5-mFI(改良虚弱指数)与ASA评分(美国麻醉医师协会评分)在预测直肠癌患者术后死亡率方面的准确性。
通过两种方式验证每个参数预测术后死亡率的能力:使用ROC曲线分析确定曲线下面积(AUC)。使用德龙检验和亨利-麦克尼尔检验对AUC进行比较。进行多变量分析以确定每个变量在预测术后死亡率中的权重。
分析了109例因治疗目的接受直肠癌手术切除患者的记录。9例患者在术后30天内死亡(8.25%)。使用ROC分析,5-mFI预测死亡率的最佳截断值为1.5。截断点处的AUC为0.93。ASA评分预测死亡率的最佳截断值为1.5,截断点处的AUC为0.81。5-mFI的AUC显著高于ASA评分的AUC(使用德龙检验p<0.0001,使用汉利和麦克尼尔检验p = 0.0024)。单变量分析显示,死亡率的预测因素为:年龄(p = 0.002)、ASA评分≥2(p = 0.0001)和5-mFI≥2(p = 0.0001)。多变量分析显示,5-mFI≥2是与术后死亡率增加显著相关的唯一因素(OR = 1.73;95%CI 1.05 - 2.01)。
在预测直肠癌患者术后死亡率方面,5-mFI比ASA评分更准确。