C反应蛋白和红细胞分布宽度联合早期诊断慢性阻塞性肺疾病的价值

发布时间：2018-05-26 00:45

本文选题：肺疾病 + 慢性阻塞性　；参考：《实用医学杂志》2016年23期

【摘要】：目的:探讨C-反应蛋白(CRP)和红细胞分布宽度(RDW)对慢性阻塞性肺疾病(COPD)的联合诊断价值,为COPD的早期诊断发掘新的标志物和诊断模式。方法:采集COPD(139例)和健康体检者(139例)的静脉血,检测CRP和RDW值,用单因素方差(one-way ANOVA)比较COPD和健康体检者两组间CRP和RDW值的变化;随后用SPSS 19.0软件绘制CRP和RDW分别诊断COPD的受试者工作曲线(ROC曲线),计算诊断价值;然后用Logistics回归预测CRP和RDW诊断COPD的概率,最后绘制CRP和RDW联合诊断COPD的ROC曲线,计算曲线下面积(AUC)。结果:CRP单独诊断COPD的AUC为0.713,RDW单独诊断COPD的AUC为0.875,CRP和RDW联合诊断COPD的AUC为0.957,最大约登指数为0.81,敏感度和特异度分别为88%和93%。结论:CRP和RDW分别对COPD具有一定的诊断价值,二者联合可作为COPD早期诊断的新指标。
[Abstract]:Objective: to explore the combined diagnostic value of C-reactive protein (CRP) and erythrocyte distribution width (RDW) for chronic obstructive pulmonary disease (COPD) in order to explore new markers and diagnostic models for early diagnosis of COPD. Methods: the venous blood samples were collected from patients with COPD(139 (n = 139) and healthy controls (n = 139). The values of CRP and RDW were measured, and the changes of CRP and RDW between COPD and healthy controls were compared by one-way ANOVA (univariate variance). SPSS 19.0 software was used to draw the operating curve of CRP and RDW for the diagnosis of COPD and to calculate the diagnostic value, and then the Logistics regression was used to predict the probability of CRP and RDW to diagnose COPD, and finally the ROC curve of CRP and RDW to diagnose COPD was drawn. The area under the curve is calculated. Results the AUC of COPD alone was 0.713 RDW, the AUC of COPD alone was 0.875CRP, the AUC of RDW was 0.957, the maximum Jordan index was 0.81, the sensitivity and specificity were 88% and 933%, respectively. Conclusion: the ratio CRP and RDW are valuable in the diagnosis of COPD, and the combination of them can be used as a new index for the early diagnosis of COPD.
【作者单位】：成都中医药大学附属医院检验科;
【基金】：四川省医学会科研课题(编号:S15023) 中华医学会教育课题(编号:2016B-FF095)
【分类号】：R563.9;R446.1

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