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首页|期刊导航|中国临床医学|基于LASSO-Firth logistic回归构建列线图模型预测住院成人心血管疾病患者的便秘风险

基于LASSO-Firth logistic回归构建列线图模型预测住院成人心血管疾病患者的便秘风险

褚晓妍 林颖 卢珍珍 周芷欣 董忻悦

中国临床医学2026,Vol.33Issue(4):599-606,8.
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中国临床医学2026,Vol.33Issue(4):599-606,8.DOI:10.12025/j.issn.1008-6358.2026.20260678

基于LASSO-Firth logistic回归构建列线图模型预测住院成人心血管疾病患者的便秘风险

A nomogram model based on LASSO-Firth logistic regression to predict constipation risk in hospitalized adult patients with cardiovascular disease

褚晓妍 1林颖 2卢珍珍 3周芷欣 3董忻悦1

作者信息

  • 1. 复旦大学附属中山医院心内科,上海 200032
  • 2. 复旦大学附属中山医院心内科,上海 200032||复旦大学附属中山医院护理部,上海 200032
  • 3. 复旦大学附属中山医院生物统计室,上海 200032
  • 折叠

摘要

Abstract

Objective To construct a nomogram model for prediction of constipation risk in adult patients with cardiovascular disease(CVD).Methods A total of 780 adult patients with CVD admitted to Zhongshan Hospital,Fudan University from June 15,2025 to August 15,2025 were prospectively enrolled and randomly divided into a training set and a validation set at a 7∶3 ratio.Risk factors for constipation were identified using the least absolute shrinkage and selection operator(LASSO)and Firth logistic regressions,and a nomogram model was subsequently constructed in the training set.Receiver operating characteristic(ROC)curve and the area under the curve(AUC)were used to evaluate the discrimination ability of the model.Calibration curve and decision curve analysis(DCA)were used to assess calibration and clinical applicability.The value of model was evaluated in the validation set.Results Among 780 adult patients with CVD,391 patients(50.1%)developed constipation.Eleven variables were selected by LASSO regression and Firth logistic regression,and a nomogram model was constructed.The ROC curve showed that the AUCs of the model to predict constipation in adult patients with CVD in training and validation sets were 0.881 and 0.883,respectively.Calibration curves and DCA demonstrated good calibration and predictive performance of the model in training and validation sets.Conclusions The nomogram model based on LASSO-Firth logistic regression demonstrates good predictive performance and may serve as a useful tool for identifying adult patients with CVD at high risk of constipation.

关键词

心血管疾病/便秘/成人/列线图/LASSO回归

Key words

cardiovascular disease/constipation/adult/nomogram/LASSO regression

分类

医药卫生

引用本文复制引用

褚晓妍,林颖,卢珍珍,周芷欣,董忻悦..基于LASSO-Firth logistic回归构建列线图模型预测住院成人心血管疾病患者的便秘风险[J].中国临床医学,2026,33(4):599-606,8.

基金项目

复旦大学-复星护理科研基金(FNF202415),复旦大学附属中山医院护理部循证实践项目(HLXZ202401),复旦大学附属中山医院管理科学基金(2024ZSGL15、2025ZSGL23).Supported by Fudan University-Fosun Nursing Research Fund Project(FNF202415),the Evidence-Based Practice Project of the Nursing Department at Zhongshan Hospital,Fudan University(HLXZ202401),and Management Science Fund of Zhongshan Hospital,Fudan University(2024ZSGL15,2025ZSGL23). (FNF202415)

中国临床医学

1008-6358

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