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Review
. 2019 Oct 21;10(10):CD011420.
doi: 10.1002/14651858.CD011420.pub3.

Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in people living with HIV

Affiliations
Review

Lateral flow urine lipoarabinomannan assay for detecting active tuberculosis in people living with HIV

Stephanie Bjerrum et al. Cochrane Database Syst Rev. .

Abstract

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. Stratified by CD4 cell count, pooled sensitivity increased, and specificity decreased with lower CD4 cell count.

Authors' conclusions: We found that LF-LAM has a sensitivity of 42% to diagnose tuberculosis in HIV-positive individuals with tuberculosis symptoms and 35% in HIV-positive individuals not assessed for tuberculosis symptoms, consistent with findings reported previously. Regardless of how people are enrolled, sensitivity is higher in inpatients and those with lower CD4 cell, but a concomitant lower specificity. As a simple point-of-care test that does not depend upon sputum evaluation, LF-LAM may assist with the diagnosis of tuberculosis, particularly when a sputum specimen cannot be produced.

PubMed Disclaimer

Conflict of interest statement

Development of the systematic review was, in part, made possible with financial support from the United States Agency for International Development (USAID) administered by the World Health Organization (WHO) Global Tuberculosis Programme, Switzerland. KRS, MS, ND, and SB received funding to carry out the review from USAID.

KRS has also received financial support for the preparation of systematic reviews and educational materials, consultancy fees from FIND (for the preparation of systematic reviews), honoraria, and travel support to attend WHO guideline meetings.

RN is a board member of TB Proof and has participated on an advisory board for Insmed, but these are not thought to represent a conflict of interest.

CMD is employed by FIND, a Swiss non‐profit organization and WHO Collaborating Centre for Diagnosis. FIND provided funding for an initial assessment of data available for the review.

The review authors have no financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the review apart from those disclosed.

Figures

1
1
Study flow diagram
2
2
Studies with symptomatic participants ‐ Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study.
3
3
Studies with unselected participants ‐ Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study.
4
4
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among symptomatic participants. The individual studies are ordered by decreasing sensitivity. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
5
5
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among symptomatic participants, by health care setting. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. The individual studies are ordered by decreasing sensitivity. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
6
6
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies with symptomatic participants, stratified by CD4 (CD4 > 200 and CD4 ≤ 200; CD4 > 100 and CD4 ≤ 100). The individual studies are ordered by decreasing sensitivity. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
7
7
Plot by CD4 of diagnostic accuracy in adults with signs and symptoms of tuberculosis. (A) Sensitivity by CD4 strata; (B) Specificity by CD4 strata. The circle represents the pooled estimates (median), with bars representing 95% credible intervals.
8
8
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among unselected participants not assessed for signs and symptoms of tuberculosis. The individual studies are ordered by decreasing sensitivity. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
9
9
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among unselected participants, by health care setting. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. The individual studies are ordered by decreasing sensitivity. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
10
10
(A) AlereTM TB LAM Ag test. To the sample pad (white pad marked by the arrow symbols) 60 µL of urine is applied and visualized bands are read 25 minutes later. (B) Updated Reference Scale Card accompanying test strips to ‘grade' the test result and Alere positivity. Copyright © [2019] [Abbott Inc]: reproduced with permission.
11
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Reference card grading of Alere Determine™ TB LAM. Comparison of the current reference card (top) with the prior reference card (bottom). Copyright © [2019] [Abbott Inc]: reproduced with permission.
12
12
Summary plot of LF‐LAM sensitivity and specificity for tuberculosis detection in symptomatic participants. The blue circles represent individual study estimates for sensitivity and specificity for the studies among symptomatic participants. The size of the circle is proportional to the sample size of the study. The filled black circle is the pooled estimate for sensitivity and specificity. The solid red line marks the 95% credible region around the summary estimate, the dashed red line marks the 95% prediction region.
13
13
Summary plot of LF‐LAM sensitivity and specificity for tuberculosis detection in unselected participants. The blue circles represent individual study estimates for sensitivity and specificity for the studies among unselected participants. The size of the circle is proportional to the sample size of the study. The filled black circle is the pooled estimate for sensitivity and specificity. The solid red line marks the 95% credible region around the summary estimate, the dashed red line marks the 95% prediction region.
14
14
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among unselected participants, by CD4 strata (CD4 > 200 and CD4 ≤ 200) and health setting. The individual studies are ordered by decreasing sensitivity. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line).
15
15
Forest plots of LF‐LAM sensitivity and specificity for tuberculosis against a microbiological reference standard for studies among unselected participants, by CD4 strata (CD4 > 100 and CD4 ≤ 100) and health setting. TP = True Positive; FP = False Positive; FN = False Negative; TN = True Negative. Between brackets are the 95% confidence interval (CI) of sensitivity and specificity. The figure shows the estimated sensitivity and specificity of the study (blue square) and its 95% CI (black horizontal line)
1
1. Test
Symptomatic adults, all settings.
2
2. Test
Symptomatic adults, inpatients.
3
3. Test
Symptomatic adults, outpatients.
4
4. Test
Symptomatic adults, CD4 > 200, all settings.
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5. Test
Symptomatic adults, CD4 ≤ 200, all settings.
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6. Test
Symptomatic adults, CD4 ≤ 200, inpatients.
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7. Test
Symptomatic adults, CD4 ≤ 200, outpatients.
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8. Test
Symptomatic adults, CD4 > 100, all settings.
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9. Test
Symptomatic adults, CD4 ≤ 100, all settings.
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10. Test
Symptomatic adults, CD4 ≤ 100, inpatients.
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11. Test
Symptomatic adults, CD4 ≤ 100, outpatients.
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12. Test
Symptomatic adults, CD4 101‐200, all settings.
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13. Test
Symptomatic adults, CD4 101‐200, inpatients.
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14. Test
Symptomatic adults, CD4 101‐200, outpatients.
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17. Test
Unselected adults, all settings.
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18. Test
Unselected adults, inpatients.
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19. Test
Unselected adults, outpatients.
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20. Test
Unselected adults, CD4 > 200, all settings.
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21. Test
Unselected adults, CD4 ≤ 200, all settings.
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22. Test
Unselected adults, CD4 ≤ 200, inpatients.
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23. Test
Unselected adults, CD4 ≤ 200, outpatients.
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24. Test
Unselected adults, CD4 > 100, all settings.
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25. Test
Unselected adults, CD4 ≤ 100, all settings.
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26. Test
Unselected adults, CD4 ≤ 100, inpatients.
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27. Test
Unselected adults, CD4 ≤ 100, outpatients.
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28. Test
Unselected adults, CD4 101‐200, all settings.
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29. Test
Unselected adults, CD4 101‐200, inpatients.
30
30. Test
Unselected adults, CD4 101‐200, outpatients.

Update of

  • doi: 10.1002/14651858.CD011420.pub2

References

References to studies included in this review

Bjerrum 2015 {published and unpublished data}
    1. Bjerrum S, Kenu E, Lartey M, Newman MJ, Addo KK, Andersen AB, et al. Diagnostic accuracy of the rapid urine lipoarabinomannan test for pulmonary tuberculosis among HIV‐infected adults in Ghana‐ findings from the DETECT HIV‐TB study. BMC Infectious Diseases 2015;15:407. - PMC - PubMed
Drain 2015a {published data only}
    1. Drain PK, Losina E, Coleman SM, Giddy J, Ross D, Katz JN, et al. Value of urine lipoarabinomannan grade and second test for optimising clinic‐based screening for HIV‐associated pulmonary tuberculosis. Journal of Acquired Immune Deficiency Syndromes 2015;68(3):274‐80. - PMC - PubMed
Drain 2016 {published data only}
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Floridia 2017 {published data only}
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Hanifa 2016 {published data only}
    1. Hanifa Y, Fielding K L, Chihota V N, Adonis L, Charalambous S, Karstaedt A, et al. Diagnostic accuracy of lateral flow urine LAM assay for TB screening of adults with advanced immunosuppression attending routine HIV care in South Africa. PLOS One 2016;11(6):e0156866. [DOI: 10.1371/journal.pone.0156866] - DOI - PMC - PubMed
Huerga 2017 {published data only}
    1. Huerga H, Ferlazzo G, Bevilacqua P, Kirubi B, Ardizzoni E, Wanjala S, et al. Incremental yield of including Determine‐TB LAM assay in diagnostic algorithms for hospitalized and ambulatory HIV‐positive patients in Kenya. PLOS One 2017;12(1):e0170976. [DOI: 10.1371/journal.pone.0170976] - DOI - PMC - PubMed
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Lawn 2017 {published data only}
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Peter 2015 {published data only}
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References to studies excluded from this review

Agha 2013 {published data only}
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Andrews 2014 {unpublished data only}
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Balcha 2014 {published data only}
    1. Balcha TT, Winqvist N, Sturegård E, Skogmar S, Reepalu A, Jemal ZH, et al. Detection of lipoarabinomannan in urine for identification of active tuberculosis among HIV‐positive adults in Ethiopian health centres. Tropical Medicine & International Health 2014;19(6):734‐42. - PubMed
Bisson 2016 {published data only}
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Blanc 2018 {published data only}
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Boehme 2005 {published data only}
    1. Boehme C, Molokova E, Minja F, Geis S, Loscher T, Maboko L, et al. Detection of mycobacterial lipoarabinomannan with an antigen‐capture ELISA in unprocessed urine of Tanzanian patients with suspected tuberculosis. Transactions of the Royal Society of Tropical Medicine and Hygiene 2005;99(12):893‐900. - PubMed
Boyles 2012 {published data only}
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Broughton 2017 {published data only}
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Conesa‐Botella 2007 {published data only}
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Cox 2015 {published data only}
    1. Cox JA, Lukande RL, Kalungi S, Marck E, Vijver K, Kambugu A, et al. Is Urinary Lipoarabinomannan the result of renal tuberculosis? assessment of the renal histology in an autopsy cohort of Ugandan HIV‐infected adults. PLOS One 2015;10(4):e0123323. [DOI: 10.1371/journal.pone.0123323] - DOI - PMC - PubMed
d'Elia 2015 {published data only}
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Daley 2009 {published data only}
    1. Daley P, Michael JS, Hmar P, Latha A, Chordia P, Mathai D, et al. Blinded evaluation of commercial urinary lipoarabinomannan for active tuberculosis: a pilot study. International Journal of Tuberculosis and Lung Disease 2009;13(8):989‐95. - PMC - PubMed
Deng 2011 {published data only}
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Dheda 2009 {published data only}
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Dheda 2010 {published data only}
    1. Dheda K, Davids V, Lenders L, Roberts T, Meldau R, Ling D, et al. Clinical utility of a commercial LAM‐ELISA assay for TB diagnosis in HIV‐infected patients using urine and sputum samples. PLOS One 2010;5(3):e9848. - PMC - PubMed
Drain 2014a {published data only}
    1. Drain PK, Losina E, Coleman SM, Giddy J, Ross D, Katz JN, et al. Diagnostic accuracy of a point‐of‐care urine test for tuberculosis screening among newly‐diagnosed HIV‐infected adults: a prospective, clinic‐based study. BMC Infectious Diseases 2014;14:110. - PMC - PubMed
Drain 2014b {unpublished data only}
    1. Drain P, Grobler A, Gounder L, Sahid F, Wilson D, Bassett I, et al. Rapid urine lipoarabinomannan testing after two months of tuberculosis treatment independently predicts mortality in a resource‐limited setting. 44th World Conference on Lung Health of the International Union Against Tuberculosis and Lung Disease. Paris, 2013; Vol. 17 (Suppl 2):S264.
Drain 2015b {published data only}
    1. Drain PK, Gounder L, Grobler A, Sahid F, Bassett IV, Moosa MY. Urine lipoarabinomannan to monitor antituberculosis therapy response and predict mortality in an HIV‐endemic region: A prospective cohort study. BMJ Open 2015;5(4):e006833. [DOI: ] - PMC - PubMed
Drain 2016a {published data only}
    1. Drain PK, Losina E, Coleman SM, Giddy J, Ross D, Katz JN, et al. Rapid urine lipoarabinomannan assay as a clinic‐based screening test for active tuberculosis at HIV diagnosis. BMC Pulmonary Medicine 2016;16(1):147. [DOI: 10.1186/s12890-016-0316-z] - DOI - PMC - PubMed
Drain 2017 {published data only}
    1. Drain PK, Losina E, Coleman SM, Giddy J, Ross D, Katz JN, et al. Clinic‐based urinary lipoarabinomannan as a biomarker of clinical disease severity and mortality among antiretroviral therapy‐naive human immunodeficiency virus‐infected adults in South Africa. Open Forum Infectious Diseases 2017;4(3):ofx167. [DOI: 10.1093/ofid/ofx167] - DOI - PMC - PubMed
Elsawy 2012 {published data only}
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Gina 2017 {published data only}
    1. Gina P, Randall PJ, Muchinga TE, Pooran A, Meldau R, Peter JG, et al. Early morning urine collection to improve urinary lateral flow LAM assay sensitivity in hospitalised patients with HIV‐TB co‐infection. BMC Infectious Diseases 2017;17(1):339. [DOI: 10.1186/s12879-017-2313-0] - DOI - PMC - PubMed
Gounder 2011 {published data only}
    1. Gounder CR, Kufa T, Wada NI, Mngomezulu V, Charalambous S, Hanifa Y, et al. Diagnostic accuracy of a urine lipoarabinomannan enzyme‐linked immunosorbent assay for screening ambulatory HIV‐infected persons for tuberculosis. Journal of Acquired Immune Deficiency Syndromes 2011;58(2):219‐23. - PMC - PubMed
Grant 2016 {published data only}
    1. Grant A, Charalambous S, Tlali M, Johnson S, Dorman S, Hoffmann C, et al. Empirical TB treatment in advanced HIV disease: Results of the TB fast track trial. Topics in Antiviral Medicine. 2016; Vol. 24, issue E‐1:61‐62.
Gupta‐Wright 2016a {published data only}
    1. Gupta‐Wright A, Peters JA, Flach C, Lawn SD. Detection of lipoarabinomannan (LAM) in urine is an independent predictor of mortality risk in patients receiving treatment for HIV‐associated tuberculosis in sub‐Saharan Africa: a systematic review and meta‐analysis. BMC Medicine 2016;14:53. [DOI: 10.1186/s12916-016-0603-9] - DOI - PMC - PubMed
Gupta‐Wright 2016b {published data only}
    1. Gupta‐Wright A, Fielding Kl, Oosterhout JJ, Wilson DK, Corbett El, Flach C, et al. Rapid urine‐based screening for tuberculosis to reduce AIDS‐related mortality in hospitalized patients in Africa (the STAMP trial): study protocol for a randomised controlled trial. BMC Infectious Diseases 2016;16(1):501. [DOI: 10.1186/s12879-016-1837-z] - DOI - PMC - PubMed
Gupta‐Wright 2018b {published data only}
    1. Gupta‐Wright A, Corbett EL, Oosterhout JJ, Wilson DK, Grint, D, Alufandika‐Moyo M, et al. Urine‐based screening for tuberculosis: A randomized trial in HIV‐positive inpatients. Topics in Antiviral Medicine. 2018; Vol. 26, issue Supplement 1:18s‐19s.
Hamasur 2001 {published data only}
    1. Hamasur B, Bruchfeld J, Haile M, Pawlowski A, Bjorvatn B, Källenius G, et al. Rapid diagnosis of tuberculosis by detection of mycobacterial lipoarabinomannan in urine. Journal of Microbiological Methods 2001;45(1):41‐52. - PubMed
Hanifa 2015 {published data only}
    1. Hanifa Y, Telisinghe L, Fielding KL, Malden Jl, Churchyard GJ, Grant AD, et al. The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. PLOS One 2015;10(5):e0127956. [DOI: 10.1371/journal.pone.0127956] - DOI - PMC - PubMed
Iskandar 2017 {published data only}
    1. Iskandar A, Nursiloningrum E, Arthamin MZ, Olivianto E, Chandrakusuma MS. The diagnostic value of urine lipoarabinomannan (LAM) antigen in childhood tuberculosis. Journal of Clinical and Diagnostic Research 2017;11(3):Ec32‐35. [DOI: 10.7860/jcdr/2017/20909.9542] - DOI - PMC - PubMed
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Kerkhoff 2014b {published data only}
    1. Kerkhoff AD, Wood R, Vogt M, Lawn SD. Prognostic value of a quantitative analysis of lipoarabinomannan in urine from patients with HIV‐associated tuberculosis. PLOS One 2014;9(7):e103285. - PMC - PubMed
Kerkhoff 2017 {published data only}
    1. Kerkhoff AD, Barr DA, Schutz C, Burton R, Nicol MP, Lawn SD, et al. Disseminated tuberculosis among hospitalised HIV patients in South Africa: a common condition that can be rapidly diagnosed using urine‐based assays. Scientific Reports 2017;7(1):10931. [DOI: 10.1038/s41598-017-09895-7] - DOI - PMC - PubMed
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Koulchin 2007 {published data only}
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Kroidi 2014 {published data only}
    1. Kroidl I, Clowes P, Mwakyelu J, Maboko L, Kiangi A, Rachow A, et al. Reasons for false‐positive lipoarabinomannan ELISA results in a Tanzanian population. Scandinavian Journal of Infectious Diseases 2014;46(2):144‐8. - PubMed
Kroidl 2015 {published data only}
    1. Kroidl I, Clowes P, Reither K, Mtafya B, Rojas‐Ponce G, Ntinginya EN, et al. Performance of urine lipoarabinomannan assays for paediatric tuberculosis in Tanzania. European Respiratory Journal 2015;46(3):761‐70. [DOI: 10.1183/09031936.00003315] - DOI - PubMed
LaCourse 2018a {published data only}
    1. Lacourse SM, Pavlinac PB, Cranmer LM, Njuguna IN, Mugo C, Gatimu J, et al. Stool Xpert MTB/RIF and urine lipoarabinomannan for the diagnosis of tuberculosis in hospitalized HIV‐infected children. AIDS 2018;32(1):69‐78. [DOI: 10.1097/QAD.0000000000001662] - DOI - PMC - PubMed
LaCourse 2018b {published data only}
    1. LaCourse SM, Cranmer LM, Njuguna IN, Gatimu J, Stern J, Maleche‐Obimbo E, et al. Urine TB lipoarabinomannan (LAM) predicts mortality in hospitalized HIV‐infected children. Clinical Infectious Diseases 2018;66(11):1798‐801. [DOI: 10.1093/cid/ciy011] - DOI - PMC - PubMed
Lawn 2009a {published data only}
    1. Lawn SD, Edwards DJ, Kranzer K, Vogt M, Bekker LG, Wood R. Urine lipoarabinomannan assay for tuberculosis screening before antiretroviral therapy diagnostic yield and association with immune reconstitution disease. AIDS 2009;23(14):1875‐80. - PubMed
Lawn 2012a {published data only}
    1. Lawn SD, Kerkhoff AD, Vogt M, Wood R. Diagnostic accuracy of a low‐cost, urine antigen, point‐of‐care screening assay for HIV‐associated pulmonary tuberculosis before antiretroviral therapy: a descriptive study. Lancet Infectious Diseases 2012;12(3):201‐9. - PMC - PubMed
Lawn 2012b {published data only}
    1. Lawn SD, Kerkhoff AD, Vogt M, Wood R. Clinical significance of lipoarabinomannan detection in urine using a low‐cost point‐of‐care diagnostic assay for HIV‐associated tuberculosis. AIDS 2012;26(13):1635‐43. - PubMed
Lawn 2013a {published data only}
    1. Lawn SD, Kerkhoff AD, Vogt M, Wood R. HIV‐associated tuberculosis: relationship between disease severity and the sensitivity of new sputum‐based and urine‐based diagnostic assays. BMC Medicine 2013;11:231. - PMC - PubMed
Lawn 2014 {unpublished data only}
    1. Lawn SD, Kerkhoff A, Burton R, Schutz C, Wyk G, Vogt M, et al. Massive diagnostic yield of HIV‐associated tuberculosis using rapid urine assays in South Africa. Conference on Retroviruses and Opportunistic Infections (CROI). Boston (MA), 2014.
Leopold 2017 {published data only}
    1. Leopold B, Samuel N, Aimable D, Joannes C. New diagnostic tests for tuberculosis: Performance of LAM and Xpert MTB/RIF in urine of hospitalized patients on intensive phase of TB treatment, and its association with TB dissemination and HIV status. Preliminary results from an observational cohort study in Kigali, Rwanda. Tropical Medicine and International Health. 2017; Vol. 22, issue Supplement 1:35. [DOI: ]
Love 2016 {published data only}
    1. Love S, Mubanga E, Munkondya S, Atadzhanov M, Kosloff B, Ayles H, et al. Optimizing CSF diagnostics of tuberculous meningitis in Zambia. Neurology. 2016; Vol. 86, issue 16 SUPPL. 1.
Manabe 2014 {published data only}
    1. Manabe YC, Nonyane BA, Nakiyingi L, Mbabazi O, Lubega G, Shah M, et al. Point‐of‐care lateral flow assays for tuberculosis and cryptococcal antigenuria predict death in HIV infected adults in Uganda. PLOS One 2014;9(7):e101459. - PMC - PubMed
Mathabire 2017 {published data only}
    1. Mathabire SC, Cossa L, Mpunga J, Manhica I, Quiles IA, Molfino L, et al. Feasibility of using Determine‐TB LAM test in HIV‐infected adults in programmatic conditions. Journal of the International Aids Society. 2017; Vol. 20:18.
Mukundan 2012 {published data only}
    1. Mukundan H, Kumar S, Price DN, Ray SM, Lee YJ, Min S, et al. Rapid detection of Mycobacterium tuberculosis biomarkers in a sandwich immunoassay format using a waveguide‐based optical biosensor. Tuberculosis 2012;92(5):407‐16. - PMC - PubMed
Musarurwa 2018 {published data only}
    1. Musarurwa C, Zijenah LS, Mhandire DZ, Bandason T, Mhandire K, Chipiti MM, et al. Higher serum 25‐hydroxyvitamin D concentrations are associated with active pulmonary tuberculosis in hospitalised HIV infected patients in a low income tropical setting: a cross sectional study. BMC Pulmonary Medicine 2018;18(1):67. [DOI: 10.1186/s12890-018-0640-6] - DOI - PMC - PubMed
Mutetwa 2009 {published data only}
    1. Mutetwa R, Boehme C, Dimairo M, Bandason T, Munyati SS, Mangwanya D, et al. Diagnostic accuracy of commercial urinary lipoarabinomannan detection in African tuberculosis suspects and patients. International Journal of Tuberculosis and Lung Disease 2009;13(10):1253‐9. - PMC - PubMed
Nakiyingi 2015 {published data only}
    1. Nakiyingi L, Ssengooba W, Nakanjako D, Armstrong D, Holshouser M, Kirenga BJ, et al. Predictors and outcomes of mycobacteremia among HIV‐infected smear‐ negative presumptive tuberculosis patients in Uganda. BMC Infectious Diseases 2015;15:62. [DOI: 10.1186/s12879-015-0812-4] - DOI - PMC - PubMed
Nakiyingi 2015a {published data only}
    1. Nakiyingi L, Nonyane BA, Ssengooba W, Kirenga BJ, Nakanjako D, Lubega G, et al. Predictors for MTB culture‐positivity among HIV‐infected smear‐negative presumptive tuberculosis patients in Uganda: Application of new tuberculosis diagnostic technology. PLOS One 2015;10(7):e0133756. [DOI: 10.1371/journal.pone.0133756] - DOI - PMC - PubMed
Nicol 2014 {published data only}
    1. Nicol MP, Allen V, Workman L, Isaacs W, Munro J, Pienaar S, et al. Urine lipoarabinomannan testing for diagnosis of pulmonary tuberculosis in children: a prospective study. Lancet Global Health 2014;2(5):e278–84. - PMC - PubMed
Patel 2009 {published data only}
    1. Patel VB, Bhigjee AI, Paruk HF, Singh R, Meldau R, Connolly C, et al. Utility of a novel lipoarabinomannan assay for the diagnosis of tuberculous meningitis in a resource‐poor high‐HIV prevalence setting. Cerebrospinal Fluid Research 2009;6:13. - PMC - PubMed
Patel 2010 {published data only}
    1. Patel VB, Singh R, Connolly C, Kasprowicz V, Zumla A, Ndungu T, et al. Comparison of a clinical prediction rule and a LAM antigen‐detection assay for the rapid diagnosis of TBM in a high HIV prevalence setting. PLOS One 2010;5(12):e15664. - PMC - PubMed
Peter 2011 {published data only}
    1. Peter JG, Haripesad A, Mottay L, Kraus S, Meldau R, Dheda K. The clinical utility of urine lipoarabinomannan and the novel point‐of‐care lateral flow strip test (Determine TB) for the diagnosis of tuberculosis in hospitalised patients with HIV‐related advanced immunosuppression. American Journal of Respiratory and Critical Care Medicine Conference: American Thoracic Society International Conference, ATS 2011;183:A5313.
Peter 2012b {published data only}
    1. Peter JG, Cashmore TJ, Meldau R, Theron G, Zyl‐Smit R, Dheda K. Diagnostic accuracy of induced sputum LAM ELISA for tuberculosis diagnosis in sputum‐scarce patients. International Journal of Tuberculosis and Lung Disease 2012;16(8):1108‐12. - PMC - PubMed
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Peter 2013 {published data only}
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    1. Reddy KP, Gupta‐Wright A, Fielding K, Costantini S, Zheng A, Corbett EL, et al. Cost‐effectiveness of urine TB screening for hospitalized people with HIV in Africa. Topics in Antiviral Medicine. 2018; Vol. 26, issue Supplement 1:518s.
Reid 2015 {unpublished data only}
    1. Reid S, Kancheya N, Kapata N, Kruuner A, Henostroza G, Harris J. Detection of lipoarabinomannan in urine for the diagnosis of tuberculosis in ART clinic enrollees in Lusaka, Zambia. www.cidrz.org/past‐studies/ (accessed 4 September 2015).
Reither 2009 {published data only}
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Sabur 2017 {published data only}
    1. Sabur NF, Esmail A, Brar MS, Dheda K. Diagnosing tuberculosis in hospitalized HIV‐infected individuals who cannot produce sputum: is urine lipoarabinomannan testing the answer?. BMC Infectious Diseases 2017;17(1):803. [DOI: 10.1186/s12879-017-2914-7] - DOI - PMC - PubMed
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Shah 2009 {published data only}
    1. Shah M, Variava E, Holmes CB, Coppin A, Golub JE, McCallum J, et al. Diagnostic accuracy of a urine lipoarabinomannan test for tuberculosis in hospitalised patients in a high HIV prevalence setting. Journal of Acquired Immune Deficiency Syndromes 2009;52(2):145‐51. - PMC - PubMed
Shah 2010 {published data only}
    1. Shah M, Martinson NA, Chaisson RE, Martin DJ, Variava E, Dorman SE. Quantitative analysis of a urine‐based assay for detection of lipoarabinomannan in patients with tuberculosis. Journal of Clinical Microbiology 2010;48(8):2972‐4. - PMC - PubMed
Shah 2013 {published data only}
    1. Shah M, Dowdy D, Joloba M, Ssengooba W, Manabe YC, Ellner J, et al. Cost‐effectiveness of novel algorithms for rapid diagnosis of tuberculosis in HIV‐infected individuals in Uganda. AIDS 2013;27(18):2883‐92. - PMC - PubMed
Shah 2014 {published data only}
    1. Shah M, Ssengooba W, Armstrong D, Nakiyingi L, Holshouser M, Ellner JJ, et al. Comparative performance of urinary lipoarabinomannan assays and Xpert MTB/RIF in HIV‐infected individuals. AIDS 2014;28(9):1307‐14. - PMC - PubMed
Singh 2011 {published data only}
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Suwanpimolkul 2017 {published data only}
    1. Suwanpimolkul G, Kawkitinarong K, Manosuthi W, Sophonphan J, Gatechompol S, Ohata PJ, et al. Utility of urine lipoarabinomannan (LAM) in diagnosing tuberculosis and predicting mortality with and without HIV: prospective TB cohort from the Thailand big city TB research network. International Journal of Infectious Diseases 2017;59:96‐102. [DOI: 10.1016/j.ijid.2017.04.017] - DOI - PubMed
Tessema 2001 {published data only}
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Tessema 2002a {published data only}
    1. Tessema TA, Bjune G, Assefa G, Svenson S, Hamasur B, Bjorvatn B. Clinical and radiological features in relation to urinary excretion of lipoarabinomannan in Ethiopian tuberculosis patients. Scandinavian Journal of Infectious Diseases 2002;34(3):167‐71. - PubMed
Tessema 2002b {published data only}
    1. Tessema TA, Bjune G, Hamasur B, Svenson S, Syre H, Bjorvatn B. Circulating antibodies to lipoarabinomannan in relation to sputum microscopy, clinical features and urinary anti‐lipoarabinomannan detection in pulmonary tuberculosis. Scandinavian Journal of Infectious Diseases 2002;34(2):97‐103. - PubMed
Tlali 2014 {unpublished data only}
    1. Tlali M, Fielding K, Charalambous S, Karat A, Hoffmann C, Johnson S, et al. Sensitivity of the TB Determine LAM test compared to sputum culture gold standard TB in ambulant HIV positive participants enrolled in the TB fast track study in South Africa. 4th South African TB Conference. Durban, 2014.
Van Rie 2013 {unpublished data only}
    1. Rie A, Jong E, Mkhwanazi M, Sanne I. Diagnosing TB in those hardest to diagnose: urine lipoarabinomannan for suspects of disseminated and extrapulmonary TB. Conference on Retroviruses and Opportunistic Infections (CROI). Atlanta (GA), 2013:443.
Wood 2012 {published data only}
    1. Wood R, Racow K, Bekker LG, Middelkoop K, Vogt M, Kreiswirth BN, et al. Lipoarabinomannan in urine during tuberculosis treatment: association with host and pathogen factors and mycobacteriuria. BMC Infectious Diseases 2012;12:47. - PMC - PubMed
Zijenah 2016 {published data only}
    1. Zijenah LS, Kadzirange G, Bandason T, Chipiti MM, Gwambiwa B, Makoga F, et al. Comparative performance characteristics of the urine lipoarabinomannan strip test and sputum smear microscopy in hospitalized HIV‐infected patients with suspected tuberculosis in Harare, Zimbabwe. BMC Infectious Diseases 2016; Vol. 16:20. [10.1186/s12879‐016‐1339‐z] - PMC - PubMed

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