机构地区:[1]昆明医科大学第一附属医院消化内科、云南省消化系统疾病临床医学研究中心,云南昆明650032
出 处:《山东医药》2025年第3期30-35,共6页Shandong Medical Journal
摘 要:目的分析中度重症急性胰腺炎(MSAP)及重症急性胰腺炎(SAP)患者并发胰源性糖尿病(T3cDM)的危险因素,构建预测模型并进行验证。方法选择MSAP/SAP患者411例,AP发作后随访至少3个月,记录是否发生T3cDM。收集T3cDM及非T3cDM患者的一般资料、入院后24 h内首次实验室检查指标、疾病相关评分、并发症情况。将T3cDM与非T3cDM患者之间有统计学差异的指标纳入LASSO和多因素Logistic回归分析,得到MSAP/SAP并发T3cDM的独立危险因素。构建包含独立危险因素的列线图预测模型,采用bootstrap法、受试者工作特征(ROC)曲线、校准曲线及Hosmer-Lemeshow拟合优度检验对该模型进行内部验证,临床决策曲线分析(DCA)评估模型的临床实用性。结果411例患者并发T3cDM 113例、非T3cDM 298例。T3cDM与非T3cDM患者之间差异有统计学意义的指标共31个,LASSO和多因素Logistic回归分析结果显示中性粒细胞百分比升高、甘油三酯升高、总胆固醇升高、胰腺坏死为MSAP/SAP并发T3cDM的独立危险因素(P均<0.05)。上述独立危险因素构建的列线图预测模型经bootstrap法1000次内部验证校准后显示仍具有较高的鉴别能力,ROC曲线分析结果提示具有良好的区分度,模型校准曲线可见校准曲线接近参考曲线,Hosmer-Lemeshow拟合优度检验结果显示具有良好的拟合度,DCA结果显示在较大风险阈值内具有较高净获益、有一定临床实用性。结论中性粒细胞百分比升高、甘油三酯升高、总胆固醇升高、胰腺坏死与MSAP/SAP并发T3cDM有关,上述危险因素构建的列线图预测模型具有良好的区分度、校准度和临床实用性。Objective To analyze the risk factors for the development of type 3c diabetes mellitus(T3cDM)in patients with moderately severe acute pancreatitis(MSAP)and severe acute pancreatitis(SAP),and to construct and validate a predictive model.Methods Totally 411 patients with MSAP/SAP were selected and followed up for at least 3 months after the onset of acute pancreatitis(AP)to record the occurrence of T3cDM.Data were collected on general characteristics,laboratory parameters within 24 hours of admission,disease-related scores,and complications.Indicators with statistically significant differences between T3cDM and non-T3cDM patients were included in LASSO and multivariate Logistic regression analyses to identify independent risk factors for T3cDM in MSAP/SAP patients.A nomogram prediction model incorporating these independent risk factors was constructed and validated internally using bootstrap methods,receiver operating characteristic(ROC)curves,calibration curves,and Hosmer-Lemeshow goodness-of-fit tests.The clinical utility of the model was assessed using decision curve analysis(DCA).Results Among the 411 patients,113 developed T3cDM and 298 did not.Thirty-one indicators showed statistically significant differences between T3cDM and non-T3cDM patients.LASSO and multivariate Logistic regression analyses revealed that elevated neutrophil percentage,elevated triglycerides,elevated total cholesterol,and pancreatic necrosis were independent risk factors for T3cDM in MSAP/SAP patients(all P<0.05).The nomogram prediction model demonstrated high discriminative ability after 1,000 bootstrap internal validations.ROC curve analysis indicated good discrimination,and the calibration curve was close to the reference line.The Hosmer-Lemeshow goodness-of-fit test showed good model fit.DCA revealed high net benefit and clinical utility across a wide range of risk thresholds.Conclusions Elevated neutrophil percentage,elevated triglycerides,elevated total cholesterol,and pancreatic necrosis are associated with the development of T3cD
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