首页|胰十二指肠切除术后胰瘘风险预测模型的建立:基于2016新版胰瘘定义及分级系统

胰十二指肠切除术后胰瘘风险预测模型的建立:基于2016新版胰瘘定义及分级系统

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目的 比较分析2005版、2016版胰瘘定义及分级标准导致的胰十二指肠切除术(PD)术后胰瘘危险因素的差异,根据2016版胰瘘标准建立胰瘘风险预测模型.方法 回顾性分析天津市第三中心医院2016年1月—2022年5月收治的303例行PD患者的临床资料,根据新、旧版胰瘘标准统计术后胰瘘患者,计量资料组间比较采用成组t检验或非参数检验Mann-Whitney U检验;计数资料组间比较采用χ2检验.单因素及多因素Logistic回归分析筛选两版标准对PD患者术后胰瘘的危险因素的区别,基于2016新版标准建立术后胰瘘的风险预测模型,受试者工作特征曲线分析该模型预测术后胰瘘发生的准确性并验证该模型.结果 2005版胰瘘标准:单因素分析显示主胰管直径(χ2=31.641,P<0.001)、主胰管指数(χ2=52.777,P<0.001)、门静脉侵犯(χ2=6.259,P=0.012)、腹腔内脂肪厚度(χ2=7.665,P=0.006)、术前胆道引流(χ2=5.999,P=0.014)、胰腺癌(χ2=5.544,P=0.019)、切缘胰腺厚度(t=2.055,P=0.032)、胰腺CT值(t=-3.224,P=0.002)、术前血淀粉酶水平(Z=-2.099,P=0.036)与术后胰瘘的发生相关,Logistic回归分析显示主胰管指数[OR(95%CI)=0.000(0.000~0.011)]、胰腺癌[OR(95%CI)=4.843(1.285~18.254)]、胰腺CT值[OR(95%CI)=0.869(0.806~0.937)]为独立危险因素(P值均<0.05);而基于2016版胰瘘标准:单因素分析显示主胰管直径(χ2=5.391,P=0.020)、主胰管指数(χ2=11.394,P=0.001)、腹腔内脂肪厚度(χ2=8.899,P=0.003)、胰腺切缘厚度(t=2.665,P=0.009)、胰腺CT值(t=-2.835,P=0.004)与术后胰瘘的发生相关,Logistic回归分析显示主胰管指数[OR(95%CI)=0.001(0.000~0.050)]、胰腺CT值[OR(95%CI)=0.943(0.894~0.994)]为独立危险因素(P值均<0.05).据此建立PD术后胰瘘风险预测模型,受试者工作特征曲线分析表明该模型预测PD术后胰瘘的曲线下面积在建模组与验证组分别为0.788(95%CI:0.707~0.870)和0.804(95%CI:0.675~0.932).结论 主胰管指数、胰腺CT值与PD术后胰瘘的发生密切相关,基于2016新版胰瘘标准建立的胰瘘风险预测模型具有较好的预测性能.
Establishment of a risk prediction model for pancreatic fistula after pancreaticoduodenectomy:A study based on the 2016 edition of the definition and classification system of pancreatic fistula
Objective To investigate the differences in the risk factors for postoperative pancreatic fistula(POPF)after pancreaticoduodenectomy(PD)between the 2005 and 2016 editions of the definition and classification standards for pancreatic fistula,and to establish a risk prediction model for pancreatic fistula based on the 2016 edition.Methods A retrospective analysis was performed for the clinical data of 303 patients who were admitted to Tianjin Third Central Hospital and underwent PD from January 2016 to May 2022,and the patients with POPF were identified based on the new and old editions.The independent-samples t test or the non-parametric Mann-Whitney U test was used for comparison of continuous data between groups,and the chi-square test was used for comparison of categorical data between groups.The univariate and multivariate logistic regression analyses were used to investigate the differences in the risk factors for pancreatic fistula after PD between the two editions;a risk prediction model was established for POPF based on the 2016 edition,and the receiver operating characteristic curve was used to invesitgate the accuracy of this model in predicting POPF and perform model validation.Results According to the 2005 edition,the univariate analysis showed that the diameter of the main pancreatic duct(χ2=31.641,P<0.001),main pancreatic duct index(χ2= 52.777,P<0.001),portal vein invasion(χ2=6.259,P=0.012),intra-abdominal fat thickness(χ2=7.665,P=0.006),preoperative biliary drainage(χ2=5.999,P=0.014),pancreatic cancer(χ2=5.544,P=0.019),marginal pancreatic thickness(t=2.055,P= 0.032),pancreatic CT value(t=-3.224,P=0.002),and preoperative blood amylase level(Z=-2.099,P=0.036)were closely associated with POPF,and the multivariate logistic regression analysis showed that main pancreatic duct index(odds ratio[OR]= 0.000,95%confidence interval[CI]:0.000—0.011,P<0.05),pancreatic cancer(OR=4.843,95%CI:1.285—18.254,P<0.05),and pancreatic CT value(OR=0.869,95%CI:0.806—0.937,P<0.05)were independent risk factors;based on the 2016 edition,the univariate analysis showed the diameter of the main pancreatic duct(χ2=5.391,P=0.020),main pancreatic duct index(χ2=11.394,P=0.001),intra-abdominal fat thickness(χ2=8.899,P=0.003),marginal pancreatic thickness(t=2.665,P=0.009),pancreatic CT value(t=-2.835,P=0.004)were closely associated with POPF,and the multivariate logistic regression analysis showed that main pancreatic duct index(OR=0.001,95%CI:0.000—0.050,P<0.05)and pancreatic CT value(OR=0.943,95%CI:0.894—0.994,P<0.05)were independent risk factors.A risk prediction model was established for POPF after PD,and the ROC curve analysis showed that this model had an area under the ROC curve of 0.788(95%CI:0.707—0.870)in the modeling group and 0.804(95%CI:0.675—0.932)in the validation group.Conclusion Main pancreatic duct index and pancreatic CT value are closely associated with POPF after PD,and the risk prediction model for pancreatic fistula based on the 2016 edition has a good prediction accuracy.

PancreaticoduodenectomyPancreatic FistulaPancreatic DuctsForecasting

余俊、任超逸、崔巍、时静祥

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天津市第三中心医院肝胆外科,天津 300170

天津市第三中心医院天津市重症疾病体外生命支持重点实验室,天津 300170

天津市第三中心医院天津市人工细胞工程技术研究中心,天津 300170

胰十二指肠切除术 胰腺瘘 胰腺管 预测

天津市卫生健康科技项目

TJWJ2023MS016

2024

临床肝胆病杂志
吉林大学

临床肝胆病杂志

CSTPCD北大核心
影响因子:1.428
ISSN:1001-5256
年,卷(期):2024.40(4)
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