Use of several immunological markers to model the probability of active tuberculosis.

Authors :: Petruccioli E
Navarra A
Petrone L
Vanini V
Cuzzi G
Gualano G
Palmieri F
Girardi E
Goletti D
Source :: Diagnostic microbiology and infectious disease [Diagn Microbiol Infect Dis] 2016 Oct; Vol. 86 (2), pp. 169-71. Date of Electronic Publication: 2016 Jun 14.
Publication Year :: 2016
Abstract: Blood-based biomarkers tests are attractive alternative for diagnosing tuberculosis to assays depending on mycobacteria detection. Given several immunological markers we used logistic regression to model the probability of active tuberculosis in a cohort of patients with active or latent tuberculosis, showing an increased accuracy in distinguishing active from latent tuberculosis.<br /> (Copyright © 2016 Elsevier Inc. All rights reserved.)

Subjects :: CD4-Positive T-Lymphocytes chemistry
Humans
Interferon-gamma analysis
Sensitivity and Specificity
Tumor Necrosis Factor Receptor Superfamily, Member 7 analysis
Tumor Necrosis Factor-alpha analysis
Biomarkers analysis
Flow Cytometry methods
Mycobacterium immunology
Tuberculosis diagnosis

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