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Establishment of risk prediction model of postoperative pancreatic fistula after pancreatoduodenectomy: 2016 edition of definition and grading system of pancreatic fistula: a single center experience with 223 cases

机译:术后胰瘘风险预测模型的建立:2016年胰腺瘘定义和分级系统:223例单一中心经验

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摘要

To establish a risk prediction model for pancreatic fistula according to the pancreatic fistula standards of the 2016 edition. Clinical data from 223 patients with PD admitted to Tianjin Third Central Hospital from January 2016 to December 2020 were retrospectively analyzed. Patients were divided into modeling (January 2016 to December 2018) and validation (January 2019 to December 2020) sets according to the time of admission. The risk factors for postoperative pancreatic fistula (POPF) were screened by univariate and multivariate logistic regression analyses, and a risk prediction model for POPF was established in the modeling set. This score was tested in the validation set. Logistic regression analysis showed that the main pancreatic duct index and CT value were independent risk factors according to the 2016 pancreatic fistula grading standard, based on which a risk prediction model for POPF was established. Receiver operating characteristic curve analysis showed that the area under the curve was 0.775 in the modeling set and 0.848 in the validation set. The main pancreatic duct index and CT value of the pancreas are closely related to the occurrence of pancreatic fistula after PD, and the established risk prediction model for pancreatic fistula has good prediction accuracy.
机译:根据2016年版的胰瘘标准建立胰腺风险预测模型。回顾性分析了来自2016年1月至2020年12月的天津第三中央医院223名PD患者的临床资料。患者分为建模(2016年1月至2018年12月)和验证(2019年1月至12月20日)根据入学时间设定。通过单变量和多变量逻辑回归分析筛选术后胰腺瘘(POPF)的危险因素,并在建模集中建立了POPF的风险预测模型。在验证集中测试了此分数。逻辑回归分析表明,主要胰管指数和CT值是根据2016年胰瘘等级标准的独立危险因素,基于其建立了POPF的风险预测模型。接收器操作特征曲线分析表明,曲线下的面积为0.775,在验证集中为0.848。胰腺的主要胰腺导管指数和CT值与PD后的胰瘘发生密切相关,并且胰瘘的已建立的风险预测模型具有良好的预测精度。

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