基于随机森林算法的COPD病人功能障碍的影响因素OACSTPCD

Objective:To explore the current status of functional impairment and its influencing factors in patients with COPD,and to provide a reference basis for the prevention and control of COPD.Methods:A total of 214 patients with COPD in three tertiary care hospitals in Tianjin from June 2020 to March 2021 were selected and questionnaires were administered using a general information questionnaire,the modified version of the dyspnoea questionnaire(mMRC),the COPD assessment scale(CAT)and the brief version of the ICF-COPD core set.And the importance of influencing factors was assessed by the random forest algorithm.The significant influencing factors were ranked,screened for multiple covariance,and logistic regression models were applied to explore their influencing factors.Results:COPD patients had a total functional impairment score of(15.13±8.36)and the random forest algorithm showed that the maximum number of features to generate the best forest was six.The top six influencing factors for analysis were CAT score,presence of acute exacerbations in the last year,personal substance use,environment,GOLD classification and presence of comorbidities.The random forest algorithm was used to screen the variables for Logistic regression,and the results showed that the COPD assessment test(OR=11.091),e110"supplies or substances for personal consumption"(OR=5.136),presence of comorbidities(OR=2.480),presence of acute exacerbations in the last year(OR=2.347)were influential factors for functional impairment in COPD patients.Conclusion:More severe disease symptoms,impaired access to or effective use of medication,having comorbidities,a history of acute exacerbations in the last year and a higher GOLD classification were the five factors that had a greater impact on functional impairment in patients with COPD.Clinical caregivers should pay attention to the functional impairment of patients with COPD and target early identification and intervention.