Cell population data in identifying active tuberculosis and community-acquired pneumonia

Area of Science:

• Hematology
• Clinical diagnostics
• Infectious disease research

Background:

• Hematology analyzers provide cell population data (CPD) using technologies like VCS.
• Distinguishing active tuberculosis (TB) from community-acquired pneumonia (CAP) is crucial for effective treatment.
• Morphological changes in CPD parameters may offer diagnostic insights.

Purpose of the Study:

• To evaluate the diagnostic efficacy of CPD parameters in differentiating active TB from CAP.
• To assess the performance of individual and combined CPD parameters using ROC curve analysis.

Main Methods:

• A cohort study included 88 active TB patients, 78 CAP patients, and 89 healthy controls.
• CPD was measured using the UniCel DxH800 hematology analyzer.
• Statistical analysis involved one-way ANOVA and ROC curve analysis.

Main Results:

• Neutrophil mean conductivity (NMC), monocyte mean volume (MMV), and monocyte mean conductivity (MMC) were significantly different between active TB and CAP groups.
• Individual CPD parameters showed varying diagnostic potential, with NMC, MMV, and MMC demonstrating high AUC values (0.951, 0.877, 0.98, respectively).
• The combined analysis of NMC, MMV, and MMC achieved an AUC of 0.99, with 98.5% sensitivity and 91.1% specificity.

Conclusions:

• Combined analysis of NMC, MMV, and MMC demonstrates high diagnostic accuracy for active TB versus CAP.
• These CPD parameters can serve as valuable biomarkers to aid in the clinical diagnosis of active tuberculosis.
• The findings suggest that hematology-based morphological analysis offers a promising approach for differentiating respiratory infections.