Evaluating the value of detecting cytokines for diagnosis of tuberculous pleural effusion by liquid array technology
10.3760/cma.j.issn.1009-9158.2015.08.014
- VernacularTitle:液相芯片技术检测多种细胞因子对结核性胸腔积液诊断价值的评估
- Author:
Jiaqing LIU
;
Li ZHANG
;
Shuang FENG
;
Lixia ZHANG
;
Haibai SUN
;
Gang LIU
;
Hongxia XIAO
;
Min WU
;
Yanqing DU
;
Shuye LIU
- Publication Type:Journal Article
- Keywords:
Tuberculosis,pleural;
Pleural effusion;
Cytokines;
Interferon-gamma;
Chemokine CXCL10;
Interleukins
- From:
Chinese Journal of Laboratory Medicine
2015;(8):562-566
- CountryChina
- Language:Chinese
-
Abstract:
Objective To establish a diagnostic model of multiple cytokines for differential diagnosis of tuberculous pleural effusion , and compare its diagnostic accuracy with tuberculosis infected T cells detection ( T-SPOT.TB ) in order to evaluate its diagnostic performance.Methods Case-control study.Totally 147 patients with pleural fluid in Tianjin Haihe Hospital were enrolled and categorized as tuberculous pleural effusion group ( n=95 ) and malignant pleural effusion group ( n=52 ) from December 2011 to June 2013.Pleural effusion cytokines including interferon-γ( IFN-γ) , C-X-C motif chemokine 10 (CXCL-10), tumor necrosis factor-α(TNF-α), vascular endothelial growth factor (VEGF), IL-2, IL-16, IL-17, IL-27 and IL-33 were tested by liquid chip technology and analyzed by Binary Logistic regression and receiver operating characteristic curve (ROC), and the pleural effusion was also detected by tuberculosis infected T cells detection ( T-SPOT.TB) as a control.Results The comparison of the AUC of cytokines is:CXCL-10>IL-27>IFN-γ>IL-33 >IL-17>IL-16>TNF-α>VEGF>IL-2; After that, CXCL-10, IFN-γ, IL-27 and IL-33 were included the Binary Logistic regression model.The regression equation is P=1/1+e-( -16.851+0.390 ×IFN-γ+0.006 ×IL-27+0.020 ×IL-33).The AUC, sensitivity and specificity of the diagnostic model were 99.5%, 96.84%, and 98.08%, respectively.Both AUC and sensitivity of the diagnostic model were superior to those of any single index.Compared with T-SPOT.TB (0.995 ±0.003), the AUC of the diagnostic model (0.921 ±0.023) was significantly greater ( Z=3.235, P <0.01), but no significant difference was found when it comes to diagnostic results consistency (χ2 =0.062 5, P>0.05).The Kappa of the two methods was 0.795, which meant fine agreement of the evaluations of the two raters.Conclusion The application of liquid array technology of high sensitivity and repeatability with high throughput provided a novel insight and method in the clinical diagnosis , treatment and prevention for tuberculous pleural effusion scientifically and accurately.
