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首页|期刊导航|山东医药|中度重症/重症急性胰腺炎患者并发胰源性糖尿病的危险因素分析及预测模型构建

中度重症/重症急性胰腺炎患者并发胰源性糖尿病的危险因素分析及预测模型构建

周雪梅 杨佳妮 张海蓉

山东医药2025,Vol.65Issue(3):30-35,6.
山东医药2025,Vol.65Issue(3):30-35,6.DOI:10.3969/j.issn.1002-266X.2025.03.007

中度重症/重症急性胰腺炎患者并发胰源性糖尿病的危险因素分析及预测模型构建

Analysis of risk factors for pancreatogenic diabetes mellitus in patients with moderately severe and severe acute pancreatitis and construction of a predictive model

周雪梅 1杨佳妮 1张海蓉1

作者信息

  • 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
  • 折叠

摘要

Abstract

Objective To analyze the risk factors for the development of type 3c diabetes mellitus(T3cDM)in pa-tients with moderately severe acute pancreatitis(MSAP)and severe acute pancreatitis(SAP),and to construct and vali-date 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 char-acteristics,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 Lo-gistic 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,receiv-er operating characteristic(ROC)curves,calibration curves,and Hosmer-Lemeshow goodness-of-fit tests.The clinical util-ity 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 tri-glycerides,elevated total cholesterol,and pancreatic necrosis were independent risk factors for T3cDM in MSAP/SAP pa-tients(all P<0.05).The nomogram prediction model demonstrated high discriminative ability after 1,000 bootstrap inter-nal 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 to-tal cholesterol,and pancreatic necrosis are associated with the development of T3cDM in MSAP/SAP patients.The nomo-gram prediction model constructed based on these risk factors exhibits good discrimination,calibration,and clinical utility.

关键词

中度重症急性胰腺炎/重症急性胰腺炎/胰源性糖尿病/危险因素/列线图

Key words

moderately severe acute pancreatitis/severe acute pancreatitis/type 3c diabetes mellitus/risk fac-tors/nomogram

分类

医药卫生

引用本文复制引用

周雪梅,杨佳妮,张海蓉..中度重症/重症急性胰腺炎患者并发胰源性糖尿病的危险因素分析及预测模型构建[J].山东医药,2025,65(3):30-35,6.

山东医药

1002-266X

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