| Literature DB >> 33402640 |
Chakrapani Chatla1, Neetu Mishra2, Malathi Jojula3, Rajesham Adepu4, Mallikarjun Puttala5.
Abstract
Sputum smear microscopy (SSM), though regarded as an inexpensive and popular method for detecting tuberculosis (TB), lacks adequate sensitivity, specifically in adult people living with HIV/AIDS (PLHIV). Urine lipoarabinomannan (LAM) is a promising diagnostic tool among PLHIV with CD4 cell count < 200 cells/μl. We attempted to review all the studies undertaken in identifying the utility of urine LAM in diagnosing TB, especially among PLHIV. We searched PubMed, Google Scholar, and MEDLINE databases for studies reporting diagnostic utility of urine LAM status in PLHIV, published in the last 20 years till December 2019. The keywords used for searching were "Tuberculosis," "HIV/AIDS," "Diagnosis," "Screening" "Lipoarabinomannan," and "Urine." Our search resulted in 137 shortlisted citations, of which 67 related manuscripts were identified for detailed study. Based on inclusion and exclusion criteria, 37 studies were reviewed in detail. Average sample size of these studies was 464 (range = 81-2528; SD = 427). Crude average sensitivity of urine LAM in culture-confirmed TB cases was 44.1% (range = 8.3-93) while that of SSM was 38.6% (range = 14-65). However, sensitivity of urine LAM + SSM was 60.4% (range = 38.3-92.7), demonstrating the utility of SSM + urine LAM combination for detecting TB. Specificity was similar between urine LAM and SSM with 92.7% (range = 76-100) and 97.9% (range = 93.9-100), respectively. Majority of the studies demonstrated higher sensitivity of urine LAM in those with lesser the CD4 count, with immunocompromised and with debilitation who cannot produce self-expectorated sputum. We conclude that urine LAM is a potential diagnostic test in the algorithms involving immunocompromised, debilitated patients and specifically in PLHIV whose CD4 count is ≤100 cells/μl.Entities:
Keywords: HIV/AIDS; Tuberculosis; and urine; diagnosis; lipoarabinomannan; screening
Year: 2021 PMID: 33402640 PMCID: PMC8066934 DOI: 10.4103/lungindia.lungindia_574_19
Source DB: PubMed Journal: Lung India ISSN: 0970-2113
Studies in chronological order assessing utility of urine lipoarabinomannan in detecting Mycobacterium tuberculosis
| Year of publication | Lead author | Country | Urine sample type | Tests conducted | LAM assay used | Age group | Patient setting |
|---|---|---|---|---|---|---|---|
| 2005 | Boehme | Tanzania | Fresh urine | SSM (ZN), LJ, LAM-ELISA, CxR | LAM-ELISA by Chemogen | ≥18 years | OP |
| 2009 | Lawn | South Africa | Frozen urine | SSM (Aur), MGIT, LAM-ELISA, CxR | LAM-ELISA by Chemogen | ≥18 years | OP |
| 2009 | Daley | India | Frozen urine | SSM (Aur), LJ, MGIT, LAM-ELISA | LAM-ELISA by Chemogen | ≥18 years | OP |
| 2009 | Mutetwa | Zimbabwe | Frozen urine | SSM (Aur), LJ, LAM-ELISA | LAM-ELISA by Chemogen | ≥18 years | OP |
| 2009 | Shah | South Africa | Frozen urine | SSM (Aur), MGIT, TB-ELISA | Clearview™ TB ELISA | ≥18 years | IP |
| 2010 | Dheda | South Africa | Fresh urine | SSM (Aur), MGIT, TB-ELISA | Clearview™ TB ELISA | ≥18 years | OP |
| 2012 | Lawn | South Africa | Frozen urine | SSM (Aur), MGIT, Xpert, TB LAM | Clearview™ TB ELISA and Determine™ TB LAM | ≥18 years | OP |
| 2012 | Talbot | Tanzania | Both fresh and frozen urine | SSM (ZN), LJ, Blood Culture (Agar and BACTEC), TB ELISA | Clearview™ TB ELISA | ≥18 years | IP |
| 2012 | Peter | South Africa | Frozen urine | SSM (Aur), MGIT, Sputum Xpert, Urine Xpert, TB LAM | Determine™ TB LAM | ≥18 years | IP |
| 2013 | Lawn | South Africa | Frozen urine | SSM (Aur), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2014 | Balcha | Ethiopia | Frozen urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2014 | Nakiyingi | Uganda, South Africa | Fresh urine | SSM (ZN), MGIT, Xpert, TB LAM, CxR | Determine™ TB LAM | ≥18 years | OP+IP |
| 2014 | Drain | South Africa | Fresh urine | SSM (ZN and Aur), MGIT, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2014 | Shah | Uganda | Fresh urine | SSM (ZN), LJ, MGIT, Blood Culture Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP+IP |
| 2015 | Drain | South Africa | Fresh urine | SSM (ZN and Aur), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2015 | Nakiyingi | Uganda | Fresh urine | SSM (ZN and Aur), LJ, MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2015 | d’Elia | South Africa | Fresh urine | SSM (ZN and Aur), LJ, MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2015 | Peter | Tanzania, Zimbabwe and South Africa | Frozen urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2015 | Bjerrum | Ghana | Fresh urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP+IP |
| 2016 | Drain | South Africa | Fresh urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2016 | Peter | Tanzania, Zimbabwe and South Africa | Fresh urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | IP |
| 2016 | Zijenah | Zimbabwe | Fresh urine | SSM (ZN), MGIT, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2016 | Hanifa | South Africa | Frozen urine | SSM (ZN), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2016 | Drain | South Africa | Fresh urine | SSM (ZN), MGIT, TB LAM, CxR | Determine™ TB LAM | ≥18 years | OP |
| 2017 | Huerga | Kenya | Fresh urine | SSM (ZN), LJ, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | OP+IP |
| 2017 | Suwanpimolkul G | Thailand | Frozen urine | SSM (ZN), MGIT, Xpert, TB LAM, CxR | Determine™ TB LAM | ≥18 years | OP |
| 2017 | Lawn | South Africa | Frozen urine | SSM (Aur), MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | IP |
| 2017 | Thit | Myanmar | Fresh urine | SSM (ZN), LJ, Xpert, TB LAM, CxR | Determine™ TB LAM | ≥18 years | OP+IP |
| 2017 | Gina | South Africa | Fresh urine | MGIT, Xpert, TB LAM | Determine™ TB LAM | ≥18 years | IP |
| 2017 | Floridia | Mozambique | Fresh urine | Xpert, TB LAM | Determine™ TB LAM | >15 years | OP |
| 2018 | LaCourse | Kenya | Fresh urine | MGIT, Xpert (Sputum and Stool), TB LAM, CxR, TST | Determine™ TB LAM | children ≤12 years | IP |
| 2018 | Boyles | South Africa | Frozen urine | SSM (Aur), Xpert, MGIT, TB LAM | Determine™ TB LAM | ≥18 years | IP |
| 2019 | Songkhla | Thailand | Fresh urine | SSM (Aur), Xpert, LJ, MGIT, TB LAM | Determine™ TB LAM | ≥18 years | OP |
| 2019 | Huerga | Mozambique | Fresh urine | SSM (Aur), Xpert, LJ, MGIT, TB LAM, CxR | Determine™ TB LAM | ≥15 years | OP |
| 2019 | Broger | Bangladesh, Peru, South Africa and Vietnam | Frozen urine | SSM (Aur and ZN), Culture (LJ and MGIT), TB LAM and ESAT-6 | Determine™ TB LAM and ESAT-6 | ≥18 years | OP |
| 2019 | Mthiyane | South Africa | Fresh urine | SSM (Aur and ZN), Culture (Middle Brook and MGIT), Blood Culture, TB ELISA, CxR | Clearview™ TB ELISA | ≥18 years | IP |
| 2019 | Kerkhoff | South Africa | Frozen urine | SSM (Auramine), MGIT, Xpert, TB LAM, FujiLAM | Determine™ TB LAM and FujiLAM | ≥18 years | OP |
OD at least 0.1 above negative control was considered Positive. OD was read immediately at 450 nm; SSM: Sputum Smear Microscopy; ZN: Ziehl-Neelsen staining; Aur: Auramine staining; MGIT: Liquid Culture; LJ: Solid culture using Lowenstein-Jensen medium; TB: Tuberculosis; Xpert: Xpert MTB/Rif; TST: Tuberculin Skin Test; MGIT: Mycobacteria Growth Indicator Tube; MRS: Microbiological Reference Standard; OP: Outpatient setting; IP: Hospitalized or In-patient setting, LAM-ELISA by Chemogen: LAM-ELISA (Chemogen, So. Portland, Maine, USA); Clearview™ TB ELISA: Clearview™ TB ELISA kit; Determine™ TB LAM: Determine™ TB LAM test (Alere Inc., Waltham, USA); ESAT-6: Recombinant ESAT-6 (Alpha Diagnostics, USA); FujiLAM: Fujifilm SILVAMP TB LAM, LAM: Lipoarabinomannan
Figure 1Flowchart depicting selection process of studies for review
Geographic depiction of studies under review
| Country | Number of publications reviewed |
|---|---|
| Bangladesh, Peru, South Africa and Vietnam (Multi country) | 1 |
| Ethiopia | 1 |
| Ghana | 1 |
| India | 1 |
| Kenya | 2 |
| Mozambique | 2 |
| Myanmar | 1 |
| South Africa | 17 |
| Tanzania | 2 |
| Tanzania, Zimbabwe and South Africa (Multi country) | 2 |
| Thailand | 2 |
| Uganda | 2 |
| Uganda and South Africa (Multi country) | 1 |
| Zimbabwe | 2 |
| Total | 37 |
Figure 2Year.wise distribution of studies under review
Comparison of efficacy of urine lipoarabinomannan versus sputum smear microscopy
| Study | Total sample | LAM +ve/total | 95% CI | ||||
|---|---|---|---|---|---|---|---|
| LAM sensitivity (%) | SSM sensitivity (%) | LAM+ SSM sensitivity (%) | LAM specificity (%) | SSM specificity (%) | |||
| Boehme | 231 | 106/132 LJ+ve | 80.3 | 62.1 | - | 99 | |
| Lawn | 235 | 22/58 culture +ve TB | 38 | 14 | 45 | 100 | 100 |
| Daley | 200 | 27/200 | 17.8 (8.5-32.6) | - | - | 87.7 (81.3-92.3) | - |
| Mutetwa | 397 | 71/161 culture+ve | 44 (36-52) | - | - | 89 (81-94) | - |
| Shah | 499 | 114/193 confirmed TB; 16/89 possible TB | 59 (52, 66) | 42 | - | 96 (91-99) | - |
| Dheda | 440 | 17/141/ culture+ve; 3/127 probable TB | 13 | 65 | - | 95 | - |
| Lawn | 516 | of 85 confirmed TB cases, 23+ve with TB ELISA and 24 +ve with Determine TB-LAM | 28.2 with Determine; 27.1 with TB-LAM | 28.20 | 43.5 with SSM+ Determine TB | 98.6 | 99.8 |
| Talbot | 212 | 45/69 culture +ve | 72 (58-83) | - | - | 88 | - |
| Peter | 242 | 58/116 confirmed TB cases | 60 (39-78) | 56 | 69 | 98 (95-100) | - |
| Lawn | 542 | 23/86 confirmed TB | 26.7 | 29.6 | - | - | - |
| Balcha | 757 | 33/128 confirmed TB | 28.7 | 23.5 | 40 | 92.9 | - |
| Nakiyingi | 997 | 136 grade 2+ve/ 367 culture +ve | 37.1 | 34.9 | 53.7 | 97.6 | - |
| Drain | 342 | 45/342 | 28.3 (17.5-41.4) | 18.3 | 38.3 (26.0-51.8) | - | - |
| Shah | 103 | 50/103 | 49, (39-59) | 30 with ZN; 42 with Aur | 67 (57-76) | 97 | - |
| Drain | 320 | 22/54 culture confirmed TB cases | 41 (28-55) | 15 (7-27) | - | 92 (88-95) | 99 (97-100) |
| Nakiyingi | 418 | 36/96 culture confirmed TB cases | 37.5 (27.8-48.0) | - | - | 93.1 (89.8-95.7) | - |
| d’Elia | 274 | 0/14 confirmed active TB cases | - | - | - | - | - |
| Peter | 583 | 41/181 culture +ve cases | 22.7 (16.6-28.7) | 43.8 (39-89) | - | 93.0 (90.5-95.6) | - |
| Bjerrum | 469 | 24/55 microbiologically confirmed TB cases | 44 (30-58) | 56 | 62 (48-75) | 95 (92-97) | 99 (97-100) |
| Drain | 90 | 24/57 culture +ve | 42.1 (29.1-55.9) | 21.1 (11.4-33.9) | 52.6 (39.0-66.0) | 84.9 (68.1-94.9) | 93.9 (79.8-99.3) |
| Peter | 2528 | 156/342 TB cases | 45·6 (40·4-50·9) | - | - | 88·7 (86·3-90·7) | - |
| Zijenah | 457 | 154/457 of all cases | 61 (49.6-71.6) | 54.9 (43.5-65.9) | 74.4 (63.6-83.4) | 86.1 (82.2-89.5) | 95.7 (93.2-97.5) |
| Hanifa | 424 | 12.5% sensitivity with grade 1+ cut-off; with grade 2+ cut-off=5.4% | 12.5 (4.2-26.8) | - | - | 95.7 (93.0-97.5) | - |
| Drain | 675 | 38/123 culture confirmed TB | 31 (23-39) | - | - | 92 (89-94) | - |
| Huerga | 474 | 102/156 confirmed TB by culture/Xpert; 59/107 culture +ve TB | 65.4 (57.4-72.8) | - | - | 84.0 | - |
| Suwanpimolkul | 109 | 16/43 HIV+ve confirmed TB | 37.2 (23-53.3) | - | - | 85 (62.1-96.8) | - |
| Lawn | 427 | 53/136 confirmed TB cases | 39 (30.7-47.7) | 19.4 (13.2-27.0) | 98.9 (96.9-99.8) | - | |
| Thit | 517 | 43/517 grade≥2+ve; 201/517 grade ≥1+ | 8.30 | - | - | - | - |
| Gina | 123 | 5/41 confirmed TB with grade ≥2+ve; 19/41 grade ≥1+ in confirmed TB | 12 (5-24) RU; 39 (26-54) EMU | - | - | - | - |
| Floridia | 972 | 50/74 Xpert +ve cases | 67.6 | - | - | 98.90 | - |
| LaCourse | 165 | 5/9 confirmed TB cases | 43 (10-82) | - | - | 91 (84-95) | - |
| Boyles | 332 | 60/169 confirmed TB cases | 35.5 | - | - | 93.30 | - |
| Songkhla | 280 | 54/72 culture +ve pts | 75.0 (63.9-83.6) | 61.1; (49.6-71.5 | 86.1 (76.3-92.3) | 76.0 (69.7-81.3) | 98.1 (95.2-99.2) |
| Huerga | 456 | 103/205 lab confirmed TB cases | 50.2 | 35.7 | 92.7 | - | - |
| Broger | 81 | 37/40 (93%) | 93 (80-97) | - | - | 97 (85-100) | - |
| Mthiyane | 187 | 53/156 (34.0%) of all with available results | 55.60 | - | - | - | - |
| Kerkhoff | 1079 | 427/553 (77.2%) microbiologically confirmed TB cases | 61 (55-67) | - | - | 98.2 (95.7-99.6) | - |
CI: Confidence interval, LAM: Urine lipoarabinomannan, SSM: Sputum smear microscopy, LJ: Solid culture using Lowenstein-Jensen medium, TB: Tuberculosis, ZN: Ziehl-Neelsen staining, Aur: Auramine staining, Xpert: Xpert MTB/Rif, RU: Random urine, EMU: Early morning urine, “-“: Data not available
Figure 3Comparison of urine lipoarabinomannan sensitivity against culture-confirmed tuberculosis cases
Urine lipoarabinomannan sensitivity by CD4 count
| Study | 95% CI | |||
|---|---|---|---|---|
| LAM Sensitivity overall (%) | LAM Sensitivity (CD4<50) (%) | LAM Sensitivity (CD4<100) (%) | LAM Sensitivity (CD4<200) (%) | |
| Lawn | 38.0 | 67.0 | 41.0 | - |
| Shah | 59.0 (52-66) | 59.0 (52-66) | 85.0 (73-93) | - |
| Dheda | 13.0 | - | - | 37.0 |
| Lawn | 28.2 | 66.7 | 51.7 | 39.0 |
| Talbot | 72.0 (58-83) | 77.0 | - | 67.0 |
| Nakiyingi | 37.1 | - | 59.2 | - |
| Drain | 28.3 (17.5-41.4) | - | 37.5 (21.1-56.3) | - |
| Nakiyingi | 37.5 (27.8-48.0) | - | 55.2 | - |
| Peter | 22.7 (16.6-28.7) | - | 30.4 (17.1-43.7) | - |
| Peter | 45·6 (40·4-50·9) | 63·7 (55·6-71·1) | 57·7 (51·0-64·2)) | 50·9 (45·0-56·9) |
| Zijenah | 61.0 (49.6-71.6) | 76.6 (62.0-87.7) | 43.8 (19.8-70.1) | - |
| Hanifa | 12.5 (4.2-26.8) | - | 16.7 (4.7-37.4) | 6.3 (0.2-30.2) |
| Drain | 31.0 (23-39) | - | 73.0 (61-83) | - |
| Huerga | 65.4 (57.4-72.8) | - | - | 68.2 (59.4-76.1) |
| Suwanpimolkul | 39.0 (30.7-47.7) | 56.6 | 20.8 | - |
| Songkhla | 75.0 (63.9-83.6) | 90.5 (77.9-96.2) | - | - |
| Huerga | 50.2 | - | 51.9 | 45.1 |
| Drain | 55.6 | - | 70.0 | |
LAM: Urine Lipoarabinomannan, CI: Confidence Interval, SSM: Sputum Smear Microscopy, LJ: Solid culture using Lowenstein-Jensen medium, TB: Tuberculosis, ZN: Ziehl-Neelsen staining, Aur: Auramine staining, Xpert: Xpert MTB/Rif, RU: Random Urine, EMU: Early Morning Urine, -: Data Not Available