基于CT定量评估的肺气肿危险因素的Logistic回归分析

The Logistic regression analysis of risk factors for emphysema based CT quantitative assessment

目的 探讨低剂量CT筛查人群中肺气肿的发生率,并对相关危险因素进行回归分析。方法 对1175例参与低剂量CT筛查并完成问卷调查的志愿者进行肺气肿CT定量分析,统计肺气肿的检出率。整理问卷资料,并将问卷中各项因素进行非条件Logistic回归分析。结果 1 175例志愿者中,共检出肺气肿97例,检出率为8.26%,其中男71例,检出率9.90%,女26例,检出率5.68%。多因素Logistic回归分析结果表明,吸烟、二手烟暴露及慢性支气管炎病史为肺气肿发生的主要危险因素。结论 吸烟、二手烟暴露及慢性支气管炎病史为肺气肿发生的主要危险因素。对重点人群采取有效检测及干预措施,可以降低肺气肿的发病率及危害程度。

Objective To explore the positive rate of emphysema in groups under Low-dose CT screening, then take the regression analysis on related risk factors for emphysema. Methods A total of 1 175 volunteers involved in low-dose CT screening and completing the questionnaire were collected and taken the CT quantitative assessment for emphysema, then the positive rate of emphysema was calculated. Questionnaire data were collected and non-conditional Logistic regression was used to analyze the factors in the questionnaire. Results Ninety-seven cases of emphysema had been detected in 1 175 volunteers, and the positive rate was 8.26%. The positive rate for the males and the females was 9.90% （71/717） and 5.68% （26/458）, respectively. Three risk factors （smoking, second-hand smoking, history of chronic bronchitis） were screened out by Logistic regression. Conclusions According to the results of the regression analysis, smoking, second-hand smoking and history of chronic bronchitis are main risk factors for emphysema. Some effective measures could be made against emphysema in high risk population. In that way the morbidity and perniciousness of emphysema could be reduced.