Predictive value of chest high-resolution CT combined with MMEF/FVC and FeNO level in patients at risk of COPD
冯海军 1贺航咏 1练越阳 1郭晓娟 1杨媛华 1Liu Yuewu2
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作者信息
1. 首都医科大学附属北京朝阳医院,北京市呼吸疾病研究所呼吸与危重症医学科,北京 100020
2. Department of Respiratory and Critical Care Medicine,Beijing Institute of Respiratory Medicine and Beijing Chao-Yang Hospital,Capital Medical University,Beijing 100020,China
Objective To explore the predictive value of small airway wall thickness and emphysema volume in chest CT combined with MMEF/FVC and FeNO level in early identification of patients at risk of COPD.Method A total of 320 patients from the department of respiratory and critical care medicine of Beijing Chaoyang Hospital from January 2018 to December 2022 were included in the study,and then divided into control group(n=118),COPD risk group(n=102)and stable COPD group(n=100).The small airway wall thickness,emphysema volume in chest high-resolution CT,MMEF/FVC,and FeNO were compared between the three groups.Result MMEF/FVC,FeNO,the percentage of whole lung CT values below-950HU and mean airway wall thickness of COPD risk group were significantly higher than that in the control group.There were significant differences in MMEF/FVC,FeNO,small airway wall thickness and percentage of whole lung CT values below-950HU between the three groups(P<0.001).In the control group,COPD risk group and stable COPD group,small airway wall thickness,the percentage of whole lung CT values below-950HU,and FeNO showed an increasing trend,and MMEF/FVC showed a trend of decreasing.FeNO had a good diagnostic efficacy in identifying patients at risk of COPD(AUC=0.657,95%CI 0.583-0.731),and airway wall thickness and the percentage of whole lung CT values below-950HU were also capable of predicting patients at risk of COPD.Conclusion For patients at risk of COPD,the application of pulmonary function indicators such as MMEF/FVC and FeNO,combine with the percentage of whole lung CT value below-950HU and airway wall thickness in chest high-resolution CT,may be a useful method to improve the early clinical recognition.