北京中医药大学学报2024，Vol.47Issue(5)：729-740,12.DOI:10.3969/j.issn.1006-2157.2024.05.018
支气管哮喘疗效预测模型构建的研究
Construction of a therapeutic effect prediction model for bronchial asthma
摘要
Abstract
Objective We aimed to investigate the feasibility and method of constructing a traditional Chinese medicine(TCM)curative effect prediction model based on the data of Kechuanting acupoint plastering therapy in the treatment of bronchial asthma(asthma).Methods Data from the Chronic Disease Management Research Platform of 303 patients with asthma who were treated with Kechuanting acupoint plastering therapy for 6 weeks in the Department of Acupuncture and Rehabilitation of Jiangsu Hospital of Traditional Chinese Medicine from June to August 2018 to 2021 were selected.We used Phyton 3.10 for statistical analysis.After data preprocessing,the influencing factors were used to build models by Logistic regression,support vector machine,K-means clustering algorithm,Bayes algorithm,random forest method and Light gradient boosting machine(LightGBM)respectively,with the improvement of asthma control test score(ACT),forced expiratory volume in one second(FEV1)and exhaled nitric oxide(FeNO)as the outcome indicators.Then,the models were compared and analyzed.Subsequently,the superior model was used to establish the efficacy prediction model and verify its stability to obtain the accuracy rate and eliminate the relatively important factors.Results The accuracy rate of the Kechuanting acupoint plastering therapy curative effect prediction model established by the LightGBM model was more than 70%.Five important factors were selected,including allergic history,tabacco and alcohol abuse,plastering duration,ACT before treatment,and FeNO before treatment.According to the classification analysis and the relationship between the important factors and the outcome indicators,Kechuanting acupoint plastering therapy significantly improved the ACT of patients with no history of allergy,no tabacco and alcohol abuse,and poor ACT:5-15 points(P<0.05).Furthermore,Kechuanting acupoint plastering therapy improved FeNO more significantly in patients with more than 3 years of treatment than those with no more than 3 years(P<0.05).However,Kechuanting acupoint plastering therapy only improved FeNO in a few patients with poor asthma control levels(P<0.05)and severe airway inflammation(FeNO>50×10-9)(P>0.05).Conclusion Acupoint plastering application has a significant effect on improving the control level of asthma,but its effect on improving airway inflammation is limited.It is feasible to use data from the chronic disease management research platform to construct the prediction model.After optimization and testing,the predictive model established based on the data of this study may provide an effective evaluation tool for targeted clinical treatment.关键词
支气管哮喘/咳喘停/穴位贴敷/疗效预测/轻度梯度提升机算法模型Key words
bronchial asthma/Kechuanting/plaster applied to point/efficacy predication/LightGBM model分类
医药卫生引用本文复制引用
黄麒东,李民玺,李逸龙,邵婉琪,赵舒梅,龚晓燕,赵林度,刘兰英..支气管哮喘疗效预测模型构建的研究[J].北京中医药大学学报,2024,47(5):729-740,12.基金项目
国家自然科学基金项目(No.82274632) （No.82274632）
江苏省中医药管理局科技发展项目(No.2018YFC1705401-1) （No.2018YFC1705401-1）
南京市科技发展项目(No.202205050) （No.202205050）
江苏省研究生科研创新计划项目(No.XZR2020007) National Natural Science Foundation of China(No.82274632) （No.XZR2020007）
