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[建立预测直肠癌腹会阴联合切除术后会阴伤口并发症危险因素的列线图]

[Establishment of a nomogram predicting risk factors of postoperative perineal wound complications after abdominoperineal resection for rectal cancer].

作者信息

Lu S Q, Chang X F, Yang X D, Yu D C, Huang Q G, Wang F

机构信息

Department of General Surgery, the First Affiliated Hospital of Nanjing Medical University, Nanjing 210029, China Lu Senqi, Yu Decai and Huang Qigen are working in Department of General Surgery, Nanjing Qixia Hospital, Nanjing 210046, China; Chang Xiaofeng is working in Department of Oncology, Nanjing Drum Tower Hospital, Nanjing 210008, China.

出版信息

Zhonghua Wei Chang Wai Ke Za Zhi. 2019 Apr 25;22(4):357-363. doi: 10.3760/cma.j.issn.1671-0274.2019.04.008.

DOI:10.3760/cma.j.issn.1671-0274.2019.04.008
PMID:31054550
Abstract

To investigate the risk factors of perineal incision complications after abdominoperineal resection (APR) for rectal cancer, and to establish a nomogram model to predict the complications of perineal incision. A case-control study was conducted to retrospectively collect the medical records of 213 patients with colorectal cancer who underwent APR at the First Affiliated Hospital of Nanjing Medical University from January 2010 to December 2016. The complications of perineal incision after APR were classified according to the modified Clavien-Dindo classification of surgical complications (Version 2019), and the complications of grade II and above were defined as "clinically significant complications" .Twenty-two factors related to complication of perineal incision, such as gender, age, surgical procedure, surgical approach, perineal repair, placement of drainage tube, skin position of drainage tube, operation time, intraoperative blood loss, preoperative radiotherapy and chemotherapy, intraoperative local perfusion chemotherapy, tumor classification, pathological grade, tumor T stage, tumor TNM stage and so on, were analyzed by chi-square test for univariate risk factor of complication in all variables, and variables with <0.2 in univariate analysis were further included in multivariate analysis. Logistic regression analysis was used to screen out independent risk factors. R software (R 3.3.2) was introduced. The rms software package was used to construct a nomogram prediction model. The C-index was calculated (higher meaning better consistency with actual risk) to evaluate the discriminant degree of the model. The Bootstrap method was used to repeat the sampling for internal verification. A total of 42 patients with colorectal cancer who underwent APR from January 2017 to December 2017 at the First Affiliated Hospital of Nanjing Medical University were externally validated, and the corrected C-index was calculated. The model conformity was determined by comparing the C-index calibration difference between the predicted and actual risks. Of the 213 patients with colorectal cancer, 131 were male and 82 were female, with mean age of (59.6±11.6) years. The incidence of postoperative perineal incision complications was 20.2% (43/213), including 27 cases of Clavien-Dindo II and above complications. Univariate analysis showed that the Eastern Cancer Cooperative Group (ECOG) score, preoperative albumin, skin position of drainage tube, intraoperative blood loss, preoperative radiotherapy and chemotherapy were associated with complications of postoperative perineal incision (All <0.05) . Multivariate analysis showed that preoperative albumin levels ≤38 g/L (OR=105.261, 95% CI: 7.781 to 1423.998, <0.001), perinead drainage (OR=11.493, 95% CI: 1.379 to 95.767, =0.024), intraoperative blood loss >110 ml (OR=6.476, 95% CI: 1.505 to 27.863, =0.012) and preoperative radiotherapy and chemotherapy (OR=7.479, 95% CI: 1.887 to 29.640, =0.004) were postoperative clinically significant independent risk factors for perineal incision complications. The nomogram model was established. Preoperative albumin level <38 g/L was for 100 points, the preoperative chemoradiotherapy was for 52.5 points, the intraoperative blood loss >110 ml was for 28.5 points, and the perineal drainage was for 17.5 points. Adding all the points was the total score, and the complication rate corresponding to the total score was the predicted rate of the model. The model had a C-index of 0.863. After internal verification, the C-index dropped by 0.005. External verification showed a C-index of 0.841. Preoperative nutritional status, skin position of drainage tube, intraoperative blood loss and preoperative radiotherapy and chemotherapy may affect the occurrence of perineal wound complications after APR for rectal cancer. The nomogram model constructed in this study is helpful for predicting the probability of clinically significant complications after APR.

摘要

探讨直肠癌腹会阴联合切除术(APR)后会阴切口并发症的危险因素,并建立列线图模型预测会阴切口并发症。进行病例对照研究,回顾性收集2010年1月至2016年12月在南京医科大学第一附属医院接受APR的213例结直肠癌患者的病历。APR后会阴切口并发症根据改良的Clavien-Dindo手术并发症分类(2019版)进行分类,II级及以上并发症定义为“临床显著并发症”。对22个与会阴切口并发症相关的因素,如性别、年龄、手术方式、手术入路、会阴修补、引流管放置、引流管皮肤位置、手术时间、术中失血、术前放化疗、术中局部灌注化疗、肿瘤分类、病理分级、肿瘤T分期、肿瘤TNM分期等,进行卡方检验分析所有变量中并发症的单因素危险因素,单因素分析中P<0.2的变量进一步纳入多因素分析。采用Logistic回归分析筛选出独立危险因素。引入R软件(R 3.3.2),使用rms软件包构建列线图预测模型。计算C指数(越高表示与实际风险的一致性越好)以评估模型的判别程度。采用Bootstrap法重复抽样进行内部验证。对2017年1月至2017年12月在南京医科大学第一附属医院接受APR的42例结直肠癌患者进行外部验证,并计算校正后的C指数。通过比较预测风险与实际风险之间的C指数校准差异来确定模型的一致性。213例结直肠癌患者中,男性131例,女性82例,平均年龄(59.6±11.6)岁。术后会阴切口并发症发生率为20.2%(43/213),其中Clavien-Dindo II级及以上并发症27例。单因素分析显示,东部肿瘤协作组(ECOG)评分、术前白蛋白、引流管皮肤位置、术中失血、术前放化疗与术后会阴切口并发症相关(均P<0.05)。多因素分析显示,术前白蛋白水平≤38 g/L(OR=105.261,95%CI:7.781至1423.998,P<0.001)、会阴引流(OR=11.493,95%CI:1.379至95.767,P=0.024)、术中失血>110 ml(OR=6.476,95%CI:1.505至27.863,P=0.012)和术前放化疗(OR=7.479,95%CI:1.887至29.640,P=0.004)是术后会阴切口并发症的临床显著独立危险因素。建立了列线图模型。术前白蛋白水平<38 g/L计100分,术前放化疗计52.5分,术中失血>11 ml计28.5分,会阴引流计17.5分。将所有分数相加为总分,总分对应的并发症发生率即为模型的预测发生率。该模型的C指数为0.863。内部验证后,C指数下降0.005。外部验证显示C指数为0.841。术前营养状况、引流管皮肤位置、术中失血和术前放化疗可能影响直肠癌APR后会阴伤口并发症的发生。本研究构建的列线图模型有助于预测APR后临床显著并发症的概率。

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