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胸部定量CT对COPD患者治疗反应预测因素分析

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目的 分析胸部定量CT扫描对慢性阻塞性疾病(COPD)患者治疗反应的预测因素.方法 回顾性分析2018 年 8 月至 2021 年 2 月接受治疗COPD患者 120 例的临床资料,对其随访 1 年,根据肺功能检测结果将其分为有治疗反应组[n=24,第 1 秒用力呼气容积(FEV1)增加≥0.225 L]和非无治疗反应组(n=96,FEV1 增加<0.225 L).对 2 组一般资料进行单因素分析,对其中差异有统计学意义的变量进行多因素Logistic回归分析,从而筛选出预测COPD患者治疗反应的因素.结果 单因素分析结果显示,有治疗反应组和无治疗反应组在EI、ATI、Pi10、WA%、T方面的差异有统计学意义(P<0.05),而 2 组间性别比、年龄、体重指数、GOLD分期、入院肺功能检测的差异无统计学意义(P>0.05).多因素Logistic回归分析结果显示,Pi10 为预测COPD患者治疗反应的因素(OR=2.321,P<0.05).ROC曲线显示,Pi10 在预测COPD患者治疗反应中具有极高的临床价值,ROC曲线显示,Pi10 预测COPD患者治疗反应的曲线下面积为 0.701,95%CI为 0.610~0.781,约登指数为 0.354,最佳截断值为 4.65 mm,灵敏度为 85.40%,特异度为 50.00%.结论 胸部定量CT扫描参数Pi10 能够帮助预测COPD患者治疗反应.
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.

chronic obstructive pulmonary diseasequantitative chest computed tomography(CT)treatment responsepredictors

刘佳萍、张卫国

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101149 北京市,首都医科大学附属北京胸科医院医学影像科

首都医科大学附属北京朝阳医院医学影像科

慢性阻塞性肺疾病 胸部定量CT 治疗反应 预测因素

北京市科技计划课题

z151100002115049

2024

河北医药
河北省医学情报研究所

河北医药

CSTPCD
影响因子:1.075
ISSN:1002-7386
年,卷(期):2024.46(3)
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