TB Research

Value of urinary lipoarabinomannan levels for tuberculosis diagnosis and monitoring of therapy

Yiqun Xiong, Zhihong Shen, Bo Dong, Ying Wang, Ying Zhu, Hongxia Wei, Dongliang Zhang, Yang Che

Frontiers in Microbiology · 2025-08

Abstract

Background The urinary lipoarabinomannan (LAM) assay has emerged as a promising tool for tuberculosis (TB) diagnosis and treatment monitoring. This study aimed to evaluate the diagnostic and monitoring performance of LAM compared to Acid-fast bacilli (AFB), Mycobacteria Growth Indicator Tube (MGIT), and GeneXpert, and to establish its clinical utility in a stratified TB population. Methods A prospective cohort study included TB patients stratified by AFB/MGIT status into three groups. Diagnostic accuracy was tested against composite reference standard (CRS). Early monitoring performance was assessed via serial LAM measurements during 12-week treatment. ROC/KM/Cox analyses determined optimal thresholds and predictors of LAM conversion. Results Against CRS, LAM demonstrated a sensitivity of 58.75%, which was numerically higher than AFB smear (45.00%, p = 0.082) and comparable to MGIT culture (58.75%, p = 1.00), but numerically lower than GeneXpert (61.25%, p = 0.205). In the early monitoring phase, LAM showed sustained positivity in 11.54–51.72% at week 12, compared to <15% for other methods. The diagnostic-monitoring quadrant analysis revealed LAM’s optimal positioning for monitoring (mean conversion time 4.63–11.49 weeks), compared to 0–8.25 weeks for other methods. A combined model incorporating baseline PreLAM and week 4 change (ΔLAM) showed the highest predictive value for 12 weeks conversion (AUC = 0.871–0.943). Multivariate cox analysis identified ΔLAM as independent predictors in total cohort (HR = 0.013, p = 0.001) and double positive group (HR = 0.020, p = 0.002). Conclusion Urinary LAM serves as a dual-role biomarker, providing moderate diagnostic sensitivity and dynamic monitoring signals reflecting early bacillary response to therapy. The PreLAM+ΔLAM model enables early treatment response assessment for personalized therapy.

MeSH terms

  • Lipoarabinomannan
  • Medicine
  • GeneXpert MTB/RIF
  • Internal medicine
  • Tuberculosis
  • Gastroenterology
  • Prospective cohort study
  • Urinary system
  • Proportional hazards model
  • Population
  • Mycobacterium tuberculosis