A Study of the Diagnostic Value of Tuberculosis-specific IL-2 Release Assay in Tuberculosis Infection
Objective This study aims to investigate the role of interleukin-2(IL-2)in the diagnosis of active tuberculosis(ATB)infection,as well as its clinical value for monitoring treatment effects,based on the results of tuberculosis-specific IL-2 release assay.Methods A total of 599 cases of tuberculosis infection were retrospectively analyzed.Among them,128 cases were diagnosed as active tuberculosis infection and 471 cases were excluded from active tuberculosis infection.(1)The study employed the receiver operating characteristic(ROC)curve to evaluate the ability of PBMCs to continuously release IL-2 after losing antigen stimulation;(2)The receiver operating characteristic(ROC)curve was drawn to evaluate the diagnostic value of IL-2(T-N)in active tuberculosis infection;(3)The positive rate of IL-2 was compared between the two groups;(4)The compliance of IL-2(T-N)negative and positive transformation duration with the disease course was observed.Results The area under the ROC curve of IL-2(N)was 0.460,and 95％CI 0.402-0.516;The area under the ROC curve of IL-2(T-N)was 0.788,and 95％CI 0.745-0.832;The positive rate of IL-2(T-N)in active tuberculosis infection group was significantly higher than that in the non-active tuberculosis infection group(x2=110.858,P＜0.001).The average duration of IL-2 negative and positive transformation was 3.1 months,and the interval was 0.5-7 months.Conclusion IL-2 secretion by PBMCs without antigen stimulation is low and not valuable for the diagnosis of ATB;IL-2(T-N)stimulated by Mycobacterium tuberculosis specific antigen demonstrates certain accuracy in the diagnosis of ATB;The duration of IL-2(T-N)negative and positive transformation is short,suggesting its value in monitoring the therapeutic effect,with a recommended monitoring interval of 3 months.
Interleukin-2(IL-2)Active tuberculosis infection(ATB)IGRAsTuberculosis-specif ic IL-2 release assayMonitoring of treatment effectiveness
NETL
NSTL
万方数据
维普
