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坏死性胰腺炎继发感染性胰腺坏死的早期预测

Early prediction of infected pancreatic necrosis secondary to necrotizing pancreatitis.

作者信息

Chen Hong-Ze, Ji Liang, Li Le, Wang Gang, Bai Xue-Wei, Cheng Chun-Dong, Sun Bei

机构信息

Department of Pancreatic and Biliary Surgery, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province, China.

出版信息

Medicine (Baltimore). 2017 Jul;96(30):e7487. doi: 10.1097/MD.0000000000007487.

Abstract

To assess the association between the clinical parameters within 48 hours of admission and the occurrence of infected pancreatic necrosis (IPN) during the late phase of necrotizing pancreatitis (NP).All patients were divided into 2 groups, the IPN and non-IPN groups. The clinical data were retrospectively analyzed. Univariate and multivariate logistic regression analyses were performed to evaluate the relationship between clinical parameters and IPN secondary to NP. The performance of each independent variable was plotted by the receiver-operating characteristic (ROC) curve. Consequently, the cut-off level of each independent variable with its sensitivity and specificity was calculated.A total of 215 patients were enrolled in our study. Among them, 87 (40.5%) patients developed IPNs after a median of 13.5 (9.5-23.0) days from admission. Multivariate analysis indicated that the level of hematocrit (HCT) from 40% to 50% (P=.012, odds ratio (OR) = 2.407), HCT over 50% (P < .009, OR = 6.794), blood urea nitrogen (BUN) (P = .040, OR = 1.894), C-reactive protein (CRP) (P = .043, OR = 1.837), and procalcitonin (PCT) (P = .002, OR = 2.559) were independent risk factors of IPN secondary to NP. The ROC cures revealed that the area under the ROC (AUC) of the maximum level of HCT, BUN, CRP, and PCT within 48 hours of admission was 0.687, 0.620, 0.630, and 0.674 respectively. Furthermore, the combination of these 4 individual parameters contributes to a more preferable AUC of 0.789 with a sensitivity of 67.8% and specificity of 77.3%.The maximum levels of PCT, CRP, HCT, and BUN within 48 hours of admission are independent factors of IPN and their combination might accurately predict the occurrence of IPN secondary to NP.

摘要

评估坏死性胰腺炎(NP)晚期感染性胰腺坏死(IPN)的发生与入院48小时内临床参数之间的关联。所有患者分为两组,即IPN组和非IPN组。对临床资料进行回顾性分析。进行单因素和多因素逻辑回归分析,以评估临床参数与NP继发IPN之间的关系。通过受试者工作特征(ROC)曲线绘制每个自变量的性能。因此,计算每个自变量的截断水平及其敏感性和特异性。

本研究共纳入215例患者。其中,87例(40.5%)患者在入院后中位时间13.5(9.5 - 23.0)天发生IPN。多因素分析表明,血细胞比容(HCT)水平在40%至50%(P = 0.012,比值比(OR)= 2.407)、HCT超过50%(P < 0.009,OR = 6.794)、血尿素氮(BUN)(P = 0.040,OR = 1.894)、C反应蛋白(CRP)(P = 0.043,OR = 1.837)和降钙素原(PCT)(P = 0.002,OR = 2.559)是NP继发IPN的独立危险因素。ROC曲线显示,入院48小时内HCT、BUN、CRP和PCT最高水平对应的ROC曲线下面积(AUC)分别为0.687、0.620、0.630和0.674。此外,这4个个体参数的组合使AUC更优,达到0.789,敏感性为67.8%,特异性为77.3%。

入院48小时内PCT、CRP、HCT和BUN的最高水平是IPN的独立因素,它们的组合可能准确预测NP继发IPN的发生。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e06c/5627815/082d4d531cfe/medi-96-e7487-g001.jpg

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