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上尿路草酸钙结石湿热证诊断模型的开发与验证

周映霖 胡磊 周建甫 王崇奕 甘澍 王树声 向松涛

中国中西医结合外科杂志2025,Vol.31Issue(6):822-827,6.
中国中西医结合外科杂志2025,Vol.31Issue(6):822-827,6.DOI:10.3969/j.issn.1007-6948.2025.06.003

上尿路草酸钙结石湿热证诊断模型的开发与验证

Development and validation of a diagnostic model for damp-heat syndrome in upper urinary tract calcium oxalate stones

周映霖 1胡磊 1周建甫 2王崇奕 1甘澍 2王树声 2向松涛3

作者信息

  • 1. 广州中医药大学第二临床医学院(广州 510405)
  • 2. 广州中医药大学第二附属医院泌尿外科(广州 510370)
  • 3. 广州中医药大学第一附属医院泌尿外科(广州 510405)
  • 折叠

摘要

Abstract

Objective To develop a machine learning model based on LASSO-Logistic regression to improve the diagnostic accuracy of damp-heat syndrome in patients with upper urinary tract calcium oxalate stones.Methods Clinical data from 343 patients with upper urinary tract calcium oxalate stones were retrospectively collected,and patients were divided into damp-heat syndrome group(n=267)and non-damp-heat syndrome group(n=76)according to traditional Chinese medicine diagnostic criteria.The LASSO-Logistic regression method was used to select key diagnostic features and construct a diagnostic model.The model was internally validated through 1000 bootstrap resamplings and evaluated using the Hosmer-Lemeshow test,receiver operating characteristics curve(ROC curve),and decision curve analysis.Results The LASSO-Logistic regression method identified four features with significant diagnostic value for damp-heat syndrome,including age,recurrence number,serum creatinine,and triglyceride levels.The model demonstrated high discriminative ability(AUC=0.918)and good sensitivity(74.5%)and specificity(92.1%).Conclusion The diagnostic model developed using LASSO-Logistic regression effectively diagnoses damp-heat syndrome in patients with upper urinary tract calcium oxalate stones,providing a novel and reliable diagnostic tool for clinical use.Future research will explore the application and validation of this model in a broader sample and multiple centers.

关键词

上尿路草酸钙结石/湿热证/LASSO-Logistic回归/机器学习/诊断模型

Key words

Upper urinary tract calcium oxalate stones/damp-heat syndrome/LASSO-Logistic regression/machine learning/diagnostic model

分类

医药卫生

引用本文复制引用

周映霖,胡磊,周建甫,王崇奕,甘澍,王树声,向松涛..上尿路草酸钙结石湿热证诊断模型的开发与验证[J].中国中西医结合外科杂志,2025,31(6):822-827,6.

基金项目

广州地区中西医协同临床重大创新技术建设项目(穗卫函[2023]2318号) (穗卫函[2023]2318号)

广东省中医药局面上项目(20221170) (20221170)

中国中西医结合外科杂志

1007-6948

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