应用ROC曲线评价不同抗原检测麻风病特异性抗体的价值

发布时间：2018-11-21 17:32

【摘要】：目的应用ROC曲线评价不同抗原采用ELISA检测麻风病特异性抗体的价值。方法筛选经金标准确认的61例麻风病和42例对照标本,应用ELISA法检测,比较不同的麻风特异性抗原的检测效率。结果 LID-1,NDO-BSA,NDO-LID三种抗原检测多菌型麻风(MB)患者抗体阳性率分别为92.11%,89.47%,92.11%;检测少菌型麻风(PB)患者抗体阳性率分别为52.17%,60.87%,47.83%。将病例组根据不同的型别分为MB和PB,MB,PB三个组,通过ROC曲线计算ROC曲线下面积,当病例组包括MB和PB时,NDO-LID抗原AUROC面积最大,等于0.86;当病例组只包括MB时,也是NDO-LID抗原AUROC面积最大,等于0.95,当病例组为PB时,NDO-BSA抗原AUROC面积最大,等于0.74。提示ELISA方法对MB检测效率高于PB,三种抗原中检测MB患者,NDO-LID最优,对PB患者NDO-BSA稍优于其他抗原。结论 ROC曲线是评价不同抗原检测麻风病特异性抗体效率的有效方法。
[Abstract]:Objective to evaluate the value of different antigens in detecting leprosy specific antibodies by ELISA using ROC curve. Methods 61 cases of leprosy confirmed by gold standard and 42 cases of control were selected and detected by ELISA to compare the detection efficiency of different leprosy specific antigens. Results the positive rates of antibodies in (MB) patients with LID-1,NDO-BSA,NDO-LID were 92.119.47 and 92.117.Results the positive rates of antibodies in (MB) patients were 92.117.Results the positive rates of LID-1,NDO-BSA,NDO-LID were 92.117.Results the positive rates of antibodies were 92.117.Results The positive rates of antibodies in (PB) patients with leprosy were 52.17 and 60.87 and 47.83 respectively. The patients were divided into three groups according to different types: MB and PB,MB,PB. The area under the ROC curve was calculated by ROC curve. When the case group included MB and PB, the AUROC area of NDO-LID antigen was the largest, equal to 0.86; When only MB was included in the case group, the area of NDO-LID antigen AUROC was the largest, equal to 0.95.When the case group was PB, the area of NDO-BSA antigen AUROC was the largest, equal to 0.74. The results suggest that ELISA is more effective than PB, in the detection of MB in MB patients, NDO-LID is the best, and NDO-BSA in PB is a little better than other antigens. Conclusion ROC curve is an effective method to evaluate the efficiency of different antigens in detecting leprosy specific antibodies.
【作者单位】：首都医科大学附属北京友谊医院北京热带医学研究所;热带病防治研究北京市重点实验室;
【分类号】：R755

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