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急性胰腺炎患者血清微小RNA-142-3p和磷脂酰肌醇3-激酶水平变化及对并发腹腔感染风险预测

Changes of serum microRNA-142-3p and phosphoinositide 3-kinase levels in patients withacute pancreatitis and predictive analysis of the risk of concurrent abdominal infection
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摘要 目的探讨急性胰腺炎(AP)患者血清微小RNA-142-3p(miR-142-3p)和磷脂酰肌醇3-激酶(PI3K)水平变化,并采用列线图分析二者评估并发腹腔感染(IAI)的价值。方法选取2021年7月至2023年12月西电集团医院医学检验科收治的AP患者186例为观察组,并选取同期健康体检者93例为健康对照组。两组研究对象均检测血清miR-142-3p和PI3K水平。应用Logistic回归模型分析AP患者并发IAI的危险因素,绘制列线图分析miR-142-3p、PI3K对AP并发IAI的评估价值并进行决策曲线分析(DCA)。结果观察组患者血清miR-142-3p水平低于健康对照组(t=8.181、P<0.001),PI3K水平高于健康对照组(t=16.605、P<0.001),差异均有统计学意义。并发IAI患者白细胞计数(t=2.265、P=0.026)、C-反应蛋白(t=3.239、P=0.002)、降钙素原(t=2.780、P=0.007)和PI3K水平(t=5.073、P<0.001)显著高于非IAI患者,miR-142-3p(t=3.693、P<0.001)显着低于非IAI患者,差异均有统计学意义。C-反应蛋白(OR=2.831、95%CI:1.563~5.127、P=0.022)、降钙素原(OR=2.845、95%CI:1.472~5.498、P=0.016)和PI3K(OR=3.210、95%CI:1.708~6.032、P<0.001)均为AP并发IAI的独立危险因素,miR-142-3p(OR=0.350、95%CI:0.162~0.757、P<0.001)为AP并发IAI的独立保护因素。列线图预测模型显示,PI3K和miR-142-3p对AP并发IAI具有较高预测价值,一致性指数分别为0.743和0.707;校正曲线分析显示,预测模型预测AP并发IAI风险与实际发生风险吻合度较高,平均绝对误差为0.026,在可接受范围;在阈值0.1~0.5范围内,联合评估AP并发IAI的净受益率优于PI3K、miR-142-3p单独检测。结论AP患者miR-142-3p呈低表达,PI3K呈高表达,二者表达水平是其并发IAI的独立影响因素,可通过检测二者水平评估患者并发IAI的风险。 Objective To investigate the changes of serum microRNA-142-3p(miR-142-3p)and phosphoinositide 3-kinase(PI3K)levels in patients with acute pancreatitis(AP),and to evaluate the value in the assessment of intrabitoneal infection(IAI)by nomogram analysis.Methods Total of 186 patients with AP admitted to the Medical Laboratory Department,Xidian Group Hospital from July 2021 to December 2023 were selected as observation group,and 93 healthy subjects during the same period were selected as control group.Serum miR-142-3p and PI3K levels were detected for research objects in both groups.The risk factors of AP patients complicated with IAI were analyzed by Logistic regression model.The evaluation value of miR-142-3p and PI3K in AP complicated with IAI was analyzed by nomogram,and decision curve analysis(DCA)was performed.Results The serum level of miR-142-3p of patients in observation group was lower than that of control group(t=8.181,P<0.001),and the level of PI3K in observation group was higher than that of control group(t=16.605,P<0.001),both with significant differences.The levels of whiteblood cell count(t=2.265,P=0.026),C-reactive protein(t=3.239,P=0.002),procalcitonin(t=2.780,P=0.007)and PI3K(t=5.073,P<0.001)of patients complicated with IAI were higher than those of non-IAIpatients,and miR-142-3p was lower than that of non-IAI patients(t=3.693,P<0.001),all with significantdifferences.C-reactive protein(OR=2.831,95%CI:1.563-5.127,P=0.022),procalcitonin(OR=2.845,95%CI:1.472-5.498,P=0.016)and PI3K(OR=3.210,95%CI:1.708-6.032,P<0.001)were all independent risk factorsfor AP complicated with IAI and miR-142-3p was an independent protective factor for AP complicated with IAI(OR=0.350,95%CI:0.162-0.757,P<0.001).The results of the nomogram prediction model showed that PI3K andmiR-142-3p had high predictive value for AP complicated with IAI,and the consistency indexes were 0.743 and 0.707,respectively.The calibration curve analysis showed that the prediction model predicted risks of AP complicated withIAI and actual risk of occurrence,and the mean absolute error was 0.026,and it was within the acceptable range.Within the threshold range of 0.1-0.5,the net benefit rate of combined assessment of AP complicated with IAI wassuperior to that of PI3K and miR-142-3p alone.Conclusions AP patients show low expression of miR-142-3p andhigh expression of PI3K,and the expression levels are independent influencing factors for concurrent IAI.Clinically,the risk of AP patients with IAI can be evaluated by detecting the levels of the two indexes.
作者 白香妮 孙巨军 谢鹤 李宏斌 Bai Xiangni;Sun Jujun;Xie He;Li Hongbin(Medical Laboratory Department,Xidian Group Hospital,Xi'an 710077,China)
出处 《中华实验和临床感染病杂志(电子版)》 CAS 2024年第4期222-228,共7页 Chinese Journal of Experimental and Clinical Infectious Diseases(Electronic Edition)
基金 西安市科技计划项目(No.22YXYJ0120)。
关键词 急性胰腺炎 微小RNA-142-3p 磷脂酰肌醇3-激酶 腹腔感染 列线图分析 Acute pancreatitis MicroRNA-142-3p Phosphoinositide 3-kinase Intra-abdominal infection Nomogramanalysis
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