Predictive factors for the treatment response of patients with chronic obstructive pulmonary disease by quantitative chest CT scan
Objective To analyze predictive factors for the treatment response in patients with chronic obstructive pulmonary disease(COPD)by quantitative chest computed tomography(CT)scan.Methods The clinical data of 120 COPD patients who were treated in our hospital from August 2018 to February 2021 were retrospectively analyzed.They were followed up for 1 year,and divided into treatment response group(n=24,FEV1≥0.225L)and non-response group(n= 96,FEV1<0.225L)with the cut-off value of the increase in the forced expiratory volume in one second(FEV1)of 0.225L.Clinical data were subjected to the univariate logistic regression analysis,and those with significantly differences were introduced to the multivariate logistic regression analysis to identify predictive factors for the treatment response of COPD.Results Univariate logistic regression analysis showed significant differences in the emphysema index(EI),air-trapping indices(ATI),airway wall thickness normalized to an airway lumen of 10-mm inner perimeter(Pi10),percentage wall area(WA%),and airway wall thickness(T)between the treatment response group and the non-response group(P<0.05).There were no significant differences in the sex,age,body mass index(BMI),the Global Initiative for Chronic Obstructive Lung Disease(GOLD)stage,and pulmonary function on admission between groups(P>0.05).The results of multivariate logistic regression analysis showed that Pi10 was a predictive factor for the treatment response of COPD patients(OR=2.321,P<0.05).The receiver operating characteristic(ROC)curve showed that Pi10 had an extremely high clinical value in predicting the treatment response of COPD patients,with the area under the curve of 0.701(95% CI:0.610-0.781,Youden index= 0.354,cut-off value=4.65mm,sensitivity=85.40%,specificity=50.00%).Conclusion The quantitative chest CT scan parameter Pi10 can help predict the treatment response of COPD patients.