摘要
目的:探究稳定期COPD患者吸入装置使用不依从的危险因素,构建其风险预测模型。方法:回顾研究40例稳定期COPD患者的临床资料,根据吸入装置使用依从情况将患者分为吸入装置使用不依从组即观察组(20例);吸入装置使用依从组即对照组(20例)。采用多变量Logistic回归模型分析,筛选吸入装置使用不依从危险因素,并建立风险预测模型。结果:通过多变量Logistic回归模型分析得到,稳定期COPD患者的教育程度、焦虑、抑郁对吸入装置使用不依从性有显著影响(P<0.05);而性别、年龄、吸烟状况和使用设备情况不影响吸入装置使用不依从性(P>0.05)。Logistic回归分析筛选吸入装置使用不依从危险因素最终共筛选出3个危险因素,分别为受教育程度、焦虑、抑郁。模型预测准确性AUC值为0.681(95%CI0.540-0.822)(P<0.05)。结论:对稳定期COPD患者进行长期吸入装置的教育,并改善COPD患者的焦虑抑郁状况,可作为提高吸入装置的使用依从性的有效方法。
Objective:To explore the risk factors of non-compliance with inhalation devices in patients with stable COPD and construct its risk prediction model.Methods:the clinical data of 40 patients with stable COPD were reviewed.According to the compliance with the use of inhalation device,the patients were divided into the non-compliance group,the observation group(n=20);The inhalation device was used in the compliance group,the control group(n=20).Multivariate logistic regression model was used to screen the risk factors of non-compliance in the use of inhalation devices,and a risk prediction model was established.Results:the analysis of multivariate logistic regression model showed that the education level,anxiety and depression of patients with stable COPD had a significant effect on the non-compliance of inhalation device use(P<0.05);Gender,age,smoking status and use of equipment did not affect the non-compliance of inhalation device(P>0.05).Logistic regression analysis was used to screen the risk factors of non-compliance in the use of inhalation devices(Table 2).Finally,a total of three risk factors were screened,namely education,anxiety and depression.The AUC value of the prediction accuracy of the model was 0.681(95%CI 0.540-0.822,P<0.05).Conclusion:long term inhalation device education for patients with stable COPD and improving the anxiety and depression of patients with COPD can be used as an effective method to improve the use compliance of inhalation device.
作者
温燕妮
林海英
夏红波
WEN Yan-ni;LIN Hai-ying;XIA Hong-bo(The Fourth People’s Hospital of Nanhai District,Foshan,Foshan 528000,Guangdong)
出处
《安徽医专学报》
2022年第1期134-136,共3页
Journal of Anhui Medical College