炎症性肠病患者焦虑相关因素及预测模型构建的研究  

A Survey of Anxiety Related Factors in Patients with Inflammatory Bowel Disease and the Development of a Nomogram Prediction Model

作　　者：郑丽萍[1] 文武[1] 蹇贻[1] Zheng Liping;Wen Wu;Jian Yi(Chengdu Second People's Hospital,Chengdu 610017,China)

机构地区：[1]成都市第二人民医院,成都610017

出　　处：《成都医学院学报》2024年第6期1048-1051,共4页Journal of Chengdu Medical College

摘　　要：目的调查炎症性肠病患者焦虑状态的相关因素,并建立列线图预测模型,为此类患者焦虑筛查及尽早干预提供参考。方法选取2019年1月至2023年12月成都市第二人民医院接诊的炎症性肠病患者共172例,收集可能影响炎症性肠病患者焦虑状态的影响因素,根据是否存在焦虑状态将患者分为焦虑组与非焦虑组,比较两组患者基本资料与疾病相关指标,用LASSO回归筛选出炎症性肠病患者焦虑状态潜在影响因素后行多因素分析,以此建立预测模型,并以列线图形式直观显示焦虑风险。结果本研究纳入的172例炎症性肠病患者中,有79例(45.9%)存在焦虑状态。LASSO回归基础上行多因素分析,最终筛选出家庭月收入、压力状态、社会支持、复发次数及是否处于活动期5个因素为炎症性肠病患者焦虑相关因素。ROC曲线下面积(AUC)为0.763,95%CI为0.691~0.835。临床有效性分析结果显示,当预测概率阈值为0.15~0.77时,使用本研究模型预测炎症性肠病患者焦虑状态的净获益最高。结论本研究建立的模型可用于预测炎症性肠病患者焦虑状态,为此类患者焦虑筛查及尽早干预提供参考。Objective To investigate the anxiety related factors in patients with inflammatory bowel disease(IBD),and to develop a nomogram prediction model for anxiety in IBD patients,so as to provide a reference for anxiety screening and early intervention in IBD patients.Methods A total of 172 patients with IBD in Chengdu Second People's Hospital from January 2019 to December 2023 were selected for the study.The factors that might affect the anxiety state in IBD patients were collected.The patients were divided into the anxiety group and non-anxiety group according to the presence or absence of anxiety.The basic data and disease-related indicators were compared between the two groups.Multivariate analysis was performed on the potential influencing factors of anxiety in IBD patients screened by LASSO regression.A prediction model was constructed to visualize the anxiety risk in the form of nomogram.Results Of the 172 patients with IBD included in this study,79(45.9%)reported anxiety.LASSO regression and multivariate analysis showed that 5 factors,namely,monthly family income,stress status,social support,number of relapses,and disease activity were related to anxiety in IBD patients.The area under the ROC curve(AUC)of the prediction model was 0.763,with a 95%CI of 0.691-0.835.Clinical validity analysis showed that the net benefit of the model for the prediction of anxiety in IBD patients was the highest when the predictive probability threshold was 0.15-0.77.Conclusion The model developed in this study can be used to predict anxiety status in patients with IBD,providing a reference for anxiety screening and early intervention in IBD patients.

关 键 词：炎症性肠病 焦虑状态 多因素分析 列线图模型 

分 类 号：R574[医药卫生—消化系统]