基于Logistic 回归与决策树模型的脑卒中后吞咽障碍患者焦虑抑郁的影响因素分析
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国家自然科学基金( 82202818)


Factors influencing anxiety and depression in post-stroke dysphagia patients based on Logisticregression and decision tree model
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    目的 了解脑卒中后吞咽障碍患者焦虑抑郁的发病率,多角度分析脑卒中后吞咽障碍 患者焦虑抑郁的影响因素。方法 采用便利抽样法对2023 年10 月—2024 年5 月江苏省8 个市14 家 三级甲等医院住院的226 例脑卒中后吞咽障碍患者进行问卷调查,最终回收有效问卷221 份,分别建立 Logistic 回归模型与决策树模型,得到2 种模型结果下的焦虑抑郁影响因素,并进行预测性能比较和受 试者工作特征曲线比较。结果 脑卒中后吞咽障碍患者焦虑抑郁的发病率为61.5%(136/221)。Logistic 回归模型显示进食方式中间歇管饲(OR=0.307, 95%CI:0.110~0.853)、饮水试验结果Ⅳ级(OR=2.645, 95%CI:1.226~5.703)、有D 型人格(OR=4.485, 95%CI:1.732~11.608)和领悟社会支持水平中高支持 状态(OR=0.522,95%CI:0.277~0.984)为焦虑抑郁的影响因素(P < 0.05)。决策树模型显示有无D 型 人格为影响焦虑抑郁的主要因素,其次为进食方式、饮水试验结果、领悟社会支持水平和性格特征 (P<0.05)。2种模型受试者工作特征曲线下面积均>0.7,且预测性能比较差异无统计学意义(P>0.05)。 结论 脑卒中后吞咽障碍患者焦虑抑郁的发病率较高,结合Logistic 回归模型与决策树模型指导临床, 能更好实现对患者焦虑抑郁的早期识别和预防以及晚期针对性干预。

    Abstract:

    Objective To explore the prevalence of anxiety and depression in patients with post-stroke dysphagia and to analyze the factors affecting anxiety and depression in patients with post-stroke dysphagia from multiple perspectives. Methods A questionnaire survey of 226 patients with post-stroke dysphagia in 14 Class Ⅲ Grade A hospitals in 8 cities of Jiangsu Province from October 2023 to May 2024 was conducted using convenience sampling method. A total of 221 valid questionnaires were recovered. Logistic regression model and decision tree model were established respectively to obtain the influencing factors of anxiety and depression under the results of the two models, and the comparison of predictive performance and the comparison of receiver operating characteristic curve were conducted. Results The prevalence of anxiety and depression in patients with post-stroke dysphagia was 61.5%( 136/221). Logistic regression model showed that intermittent tube feeding [OR=0.307, 95%CI( 0.110, 0.853)], water swallow test result gradeⅣ[ OR=2.645, 95%CI( 1.226, 5.703)], type D personality[ OR=4.485, 95%CI( 1.732, 11.608)], and high perceived social support[ OR=0.522, 95%CI (0.277, 0.984)] were the influencing factors of anxiety and depression, and the differences were statistically significant( P< 0.05). Decision tree model showed type D personality was the main factor influencing anxiety and depression, followed by eating style, water swallow test results, perceived social support and personality traits, with a statistically significant difference( P<0.05). The area under the receiver operating characteristic curve was > 0.7 for both models and the difference in predictive performance was not statistically significant (P> 0.05). Conclusions The prevalence rate of anxiety and depression in patients with post-stroke dysphagia is high. Combining Logistic regression model with decision tree model to guide clinical practice enables early identification and prevention of anxiety and depression in patients, and late targeted intervention.

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李梦如,崔焱,毛二莉,刘晶晶,陈申.基于Logistic 回归与决策树模型的脑卒中后吞咽障碍患者焦虑抑郁的影响因素分析[J].神经疾病与精神卫生,2025,25(11):775-
DOI :10.3969/j. issn.1009-6574.2025.11.003.

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  • 在线发布日期: 2025-11-21