Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in people living with HIV
Open accessAbstract
BACKGROUND: The lateral flow urine lipoarabinomannan (LF-LAM) assay Alere Determine™ TB LAM Ag is recommended by the World Health Organization (WHO) to help detect active tuberculosis in HIV-positive people with severe HIV disease. This review update asks the question, "does new evidence justify the use of LF-LAM in a broader group of people?", and is part of the WHO process for updating guidance on the use of LF-LAM. OBJECTIVES: To assess the accuracy of LF-LAM for the diagnosis of active tuberculosis among HIV-positive adults with signs and symptoms of tuberculosis (symptomatic participants) and among HIV-positive adults irrespective of signs and symptoms of tuberculosis (unselected participants not assessed for tuberculosis signs and symptoms).The proposed role for LF-LAM is as an add on to clinical judgement and with other tests to assist in diagnosing tuberculosis. SEARCH METHODS: We searched the Cochrane Infectious Diseases Group Specialized Register; MEDLINE, Embase, Science Citation Index, Web of Science, Latin American Caribbean Health Sciences Literature, Scopus, the WHO International Clinical Trials Registry Platform, the International Standard Randomized Controlled Trial Number Registry, and ProQuest, without language restriction to 11 May 2018. SELECTION CRITERIA: Randomized trials, cross-sectional, and observational cohort studies that evaluated LF-LAM for active tuberculosis (pulmonary and extrapulmonary) in HIV-positive adults. We included studies that used the manufacturer's recommended threshold for test positivity, either the updated reference card with four bands (grade 1 of 4) or the corresponding prior reference card grade with five bands (grade 2 of 5). The reference standard was culture or nucleic acid amplification test from any body site (microbiological). We considered a higher quality reference standard to be one in which two or more specimen types were evaluated for tuberculosis diagnosis and a lower quality reference standard to be one in which only one specimen type was evaluated. DATA COLLECTION AND ANALYSIS: Two review authors independently extracted data using a standardized form and REDCap electronic data capture tools. We appraised the quality of studies using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) tool and performed meta-analyses to estimate pooled sensitivity and specificity using a bivariate random-effects model and a Bayesian approach. We analyzed studies enrolling strictly symptomatic participants separately from those enrolling unselected participants. We investigated pre-defined sources of heterogeneity including the influence of CD4 count and clinical setting on the accuracy estimates. We assessed the certainty of the evidence using the GRADE approach. MAIN RESULTS: We included 15 unique studies (nine new studies and six studies from the original review that met the inclusion criteria): eight studies among symptomatic adults and seven studies among unselected adults. All studies were conducted in low- or middle-income countries. Risk of bias was high in the patient selection and reference standard domains, mainly because studies excluded participants unable to produce sputum and used a lower quality reference standard.Participants with tuberculosis symptomsLF-LAM pooled sensitivity (95% credible interval (CrI) ) was 42% (31% to 55%) (moderate-certainty evidence) and pooled specificity was 91% (85% to 95%) (very low-certainty evidence), (8 studies, 3449 participants, 37% with tuberculosis).For a population of 1000 people where 300 have microbiologically-confirmed tuberculosis, the utilization of LF-LAM would result in: 189 to be LF-LAM positive: of these, 63 (33%) would not have tuberculosis (false-positives); and 811 to be LF-LAM negative: of these, 174 (21%) would have tuberculosis (false-negatives).By clinical setting, pooled sensitivity was 52% (40% to 64%) among inpatients versus 29% (17% to 47%) among outpatients; and pooled specificity was 87% (78% to 93%) among inpatients versus 96% (91% to 99%) among outpatients. Stratified by CD4 cell count, pooled sensitivity increased, and specificity decreased with lower CD4 cell count.Unselected participants not assessed for signs and symptoms of tuberculosisLF-LAM pooled sensitivity was 35% (22% to 50%), (moderate-certainty evidence) and pooled specificity was 95% (89% to 96%), (low-certainty evidence), (7 studies, 3365 participants, 13% with tuberculosis).For a population of 1000 people where 100 have microbiologically-confirmed tuberculosis, the utilization of LF-LAM would result in: 80 to be LF-LAM positive: of these, 45 (56%) would not have tuberculosis (false-positives); and 920 to be LF-LAM negative: of these, 65 (7%) would have tuberculosis (false-negatives).By clinical setting, pooled sensitivity was 62% (41% to 83%) among inpatients versus 31% (18% to 47%) among outpatients; pooled specificity was 84% (48% to 96%) among inpatients versus 95% (87% to 99%) among outpatients. Stratif
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The accuracy of urinary LAM detection is improved among people living with HIV with advanced immunosuppression.
“The accuracy of urinary LAM detection is improved among people living with HIV with advanced immunosuppression (Bjerrum 2019).”
From Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults (2021) · cites this paper as Bjerrum 2019
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Perspective for Precision Medicine for Tuberculosis
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Self-citationScreening tests for active pulmonary tuberculosis in children
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Self-citationLipoarabinomannan as a Point-of-Care Assay for Diagnosis of Tuberculosis: How Far Are We to Use It?
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Tuberculosis IRIS: Pathogenesis, Presentation, and Management across the Spectrum of Disease
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Self-citationTuberculosis and HIV coinfection: Progress and challenges towards reducing incidence and mortality
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Evolution of Laboratory Diagnosis of Tuberculosis
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Tuberculosis in older adults: challenges and best practices in the Western Pacific Region
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Self-citationTuberculosis diagnostics: overcoming ancient challenges with modern solutions
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Self-citationDiagnosing Pulmonary Tuberculosis by Using Sequence-Specific Purification of Urine Cell-Free DNA
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Self-citationTuberculosis in children with severe acute malnutrition
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Analysis of Tuberculosis Meningitis Pathogenesis, Diagnosis, and Treatment
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Tuberculosis: An Update for the Clinician
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Self-citationDiagnosing Tuberculosis: What Do New Technologies Allow Us to (Not) Do?
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Blazing the trail for innovative tuberculosis diagnostics
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Fujifilm SILVAMP TB-LAM for the Diagnosis of Tuberculosis in Nigerian Adults
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Diagnostic Performance of the Fujifilm SILVAMP TB-LAM in Children with Presumptive Tuberculosis
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Eliminating viscosity bias in lateral flow tests
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Self-citationFinding the missed millions: innovations to bring tuberculosis diagnosis closer to key populations
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Innovative laboratory methods for improved tuberculosis diagnosis and drug-susceptibility testing
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Quantum Dot-Based Nanosensors for In Vitro Detection of Mycobacterium tuberculosis
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Pediatric Tuberculosis: The Impact of “Omics” on Diagnostics Development
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Self-citationExploring the Potential of Exosomes as Biomarkers in Tuberculosis and Other Diseases
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Diagnosing active tuberculosis in primary care
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Self-citationScreening tests for active pulmonary tuberculosis in children
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Bottlenecks and recent advancements in detecting Mycobacterium tuberculosis in patients with HIV
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Development of accurate non-sputum-based diagnostic tests for tuberculosis: an ongoing challenge
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Ultrasensitive Enzyme-Free Detection of Proteins on Magnetic Beads
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Lipoprotein capture ELISA method for the sensitive detection of amphiphilic biomarkers
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Self-citationNovel Assays/Applications for Patients Suspected of Mycobacterial Diseases
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Self-citationStead, D., Wasserman, S. A., Steenkamp, E., Parrish, A., Barr, D. A., & Meintjes, G. (2025) · Clinical Infectious Diseases · doi:10.1093/cid/ciaf080 · Cited by 6 · see citing works
Matoga, M., Bisson, G. P., Gupta, A., Miyahara, S., Sun, X., Fry, C., Manabe, Y. C., Kumwenda, J., Kanyama, C., Nyirenda, M., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab179 · Cited by 6 · see citing works
Xpert MTB/RIF Ultra assay for tuberculosis disease and rifampicin resistance in children
Kay, A. W., Madison, M., Scandrett, K., Ness, T. E., Amuge, P. M., Inbaraj, L. R., Narayanan, M. K. S., Fernández, L. G., Eisenhut, M., Ismail, N. A., et al. (2025) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013359.pub4 · Cited by 5 · see citing works
Self-citationBenchtop NMR urine metabolomics for diagnosing pulmonary tuberculosis
Comella-del-Barrio, P., Rodríguez, I., Bimba, J., Osazuwa, O., Alaran, R., Alonso-Moreno, P., Blasco‐Iturri, Z., Miguel-Coello, A. B., Cuevas, L. E., Ruı́z-Cabello, J., et al. (2025) · Scientific Reports · doi:10.1038/s41598-025-24714-0 · Cited by 5 · see citing works
- Authors
- Bjerrum, S., Schiller, I., Dendukuri, N., Kohli, M., Nathavitharana, R. R., Zwerling, A. A., Denkinger, C. M., Steingart, K. R., & Shah, M.
- Affiliations
- University of Southern Denmark (DK)
- McGill University Health Centre (CA)
- McGill University (CA)
- Beth Israel Deaconess Medical Center (US)
- University of Ottawa (CA)
- FIND (CH)
- Liverpool School of Tropical Medicine (GB)
- Johns Hopkins University (US)
- Corresponding author
- Bjerrum, Stephanie
- ORCID
- Venue
- Cochrane Database of Systematic Reviews
- Publisher
- Wiley
- Published
- 2019-10-21
- Volume
- 2019
- Issue
- 10
- Pages
- CD011420-CD011420
- ISSN
- 1361-6137 (ISSN-L)
- 1465-1858
- PMC
- PMC6802713
- OpenAlex
- W2982248582
- Cited by
- 186
- References
- 141
- Citations by year
- 2026: 15 · 2025: 31 · 2024: 29 · 2023: 22 · 2022: 35 · 2021: 28 · 2020: 24 · 2019: 2
- FWCI
- 3.12
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- cc-by-nc-sa
- Locations
- Cochrane Database of Systematic Reviews (publishedVersion, cc-by-nc-sa)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- LSTM Online Archive (Liverpool School of Tropical Medicine) (acceptedVersion)
- University of Southern Denmark Research Portal (University of Southern Denmark) (submittedVersion, cc-by-nc-sa)
- Funders
- National Institute of Allergy and Infectious Diseases (K23AI132648)
- Topics
- Health Sciences › Medicine › Infectious Diseases › Tuberculosis Research and Epidemiology
- Health Sciences › Medicine › Surgery › Infectious Diseases and Tuberculosis
- Health Sciences › Medicine › Surgery › Diagnosis and treatment of tuberculosis
- Keywords
- lipoarabinomannan, lateral flow assay, active tuberculosis, HIV, tuberculosis diagnosis, diagnostic accuracy, sensitivity and specificity, extrapulmonary tuberculosis, CD4 count
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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