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

Diagn Microbiol Infect Dis. 2016 Oct;86(2):169-71. doi: 10.1016/j.diagmicrobio.2016.06.007. Epub 2016 Jun 14.

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.

Keywords: Biomarkers; CD27; Diagnosis; Latent infection; Phenotype; Tuberculosis.

Publication types

  • Evaluation Study

MeSH terms

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

Substances

  • Biomarkers
  • Tumor Necrosis Factor Receptor Superfamily, Member 7
  • Tumor Necrosis Factor-alpha
  • Interferon-gamma