ArticleFrontiers in cellular and infection microbiology2025
A new strategy improving TB diagnosis: stratified urine LAM test based on lymphocyte counts.
Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Trends in epidemiological characteristics of pulmonary tuberculosis among children and youth in Chinese mainland from 2019 to 2024: analysis of national surveillance data.BMC public health · 2025Article
- Value of urinary lipoarabinomannan levels for tuberculosis diagnosis and monitoring of therapy.Frontiers in microbiology · 2025Article
- A novel non-invasive diagnostic approach based on urine and blood: a cross-sectional study combining lipoarabinomannan antigen and interferon-gamma release assay for active tuberculosis.Frontiers in immunology · 2025Article
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Authors and funding
5 authors.
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Abstract
Background: Traditional lipoarabinomannan tests have limited sensitivity in HIV-negative individuals. Our aims were to compare chemiluminescence-based LAM (AIMLAM) and other diagnostic modalities in HIV-negative patients and to explore whether lymphocyte counts impact the sensitivity and costs of AIMLAM. Methods: This is a prospective, cross-sectional, diagnostic accuracy study. Participants underwent testing with sputum acid-fast bacilli, sputum culture, GeneXpert, and AIMLAM. Their diagnostic efficiency and cost-effectiveness alone or under different lymphocyte count categories was evaluated. Results: Using MRS as a reference, the sensitivities of different diagnostic methods were as follows: sputum smear 27.43%, sputum culture 45.13%, GeneXpert 74.34%, and AIMLAM 71.68%. Patients with lymphocyte counts <0.8 × 10 Conclusion: AIMLAM showed promising diagnostic performance in HIV-negative patients. Stratifying patients using lymphocyte cell counting lifted the sensitivity and lowered the cost of LAM, offering a novel diagnostic strategy for tuberculosis in resource-limited settings.
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