Combining interferon-γ release assays with lymphocyte enumeration for diagnosis of Mycobacterium tuberculosis

Dingfeng Lv1, Yanqing Liu1, Fei Guo1

  • 1Department of Clinical Laboratory Medicine, Ningbo City First Hospital, Ningbo, Zhejiang, China.

Insights

This study explored combining tuberculosis (TB)-interferon gamma release assays (IGRAs) with lymphocyte counts for diagnosing Mycobacterium tuberculosis infection. The combined approach proved effective for early-stage TB detection.

Area of Science:

  • Immunology
  • Infectious Diseases
  • Diagnostic Medicine

Background:

  • Tuberculosis (TB) diagnosis relies on various methods, with interferon-gamma release assays (IGRAs) showing promise.
  • Lymphocyte enumeration is a standard hematological parameter.
  • Investigating synergistic diagnostic approaches for Mycobacterium tuberculosis infection is crucial.

Purpose of the Study:

  • To evaluate the combined diagnostic utility of TB-interferon gamma release assays (IGRAs) and lymphocyte enumeration.
  • To assess the effectiveness of this combined approach for diagnosing Mycobacterium tuberculosis infection, particularly in early stages.

Main Methods:

  • A retrospective study involving 166 TB patients and 377 non-TB patients was conducted.
  • Diagnostic performance was assessed using receiver operating characteristic (ROC) curves and Youden's index.
  • Interferon-gamma (IFN-γ) release levels were measured and correlated with lymphocyte counts.

Main Results:

  • IFN-γ release was significantly higher in TB patients (pulmonary and extra-pulmonary) compared to non-TB individuals.
  • A positive correlation was observed between IFN-γ release and lymphocyte counts/percentages in TB patients.
  • The TB-IGRA demonstrated an area under the ROC curve of 0.884, with optimal cut-off yielding 88.6% sensitivity and 77.5% specificity.

Conclusions:

  • The combination of TB-interferon gamma release assays (IGRAs) with lymphocyte enumeration is an effective strategy.
  • This integrated method aids in the diagnosis of early-stage Mycobacterium tuberculosis infection.
  • Further validation may enhance its clinical application in TB diagnostics.
Abstract