TY - JOUR
T1 - Tuberculosis screening among ambulatory people living with HIV
T2 - a systematic review and individual participant data meta-analysis
AU - Dhana, Ashar
AU - Hamada, Yohhei
AU - Kengne, Andre P.
AU - Kerkhoff, Andrew D.
AU - Rangaka, Molebogeng X.
AU - Kredo, Tamara
AU - Baddeley, Annabel
AU - Miller, Cecily
AU - Singh, Satvinder
AU - Hanifa, Yasmeen
AU - Grant, Alison D.
AU - Fielding, Katherine
AU - Affolabi, Dissou
AU - Merle, Corinne S.
AU - Wachinou, Ablo Prudence
AU - Yoon, Christina
AU - Cattamanchi, Adithya
AU - Hoffmann, Christopher J.
AU - Martinson, Neil
AU - Mbu, Eyongetah Tabenyang
AU - Sander, Melissa S.
AU - Balcha, Taye T.
AU - Skogmar, Sten
AU - Reeve, Byron W.P.
AU - Theron, Grant
AU - Ndlangalavu, Gcobisa
AU - Modi, Surbhi
AU - Cavanaugh, Joseph
AU - Swindells, Susan
AU - Chaisson, Richard E.
AU - Ahmad Khan, Faiz
AU - Howard, Andrea A.
AU - Wood, Robin
AU - Thit, Swe Swe
AU - Kyi, Mar Mar
AU - Hanson, Josh
AU - Drain, Paul K.
AU - Shapiro, Adrienne E.
AU - Kufa, Tendesayi
AU - Churchyard, Gavin
AU - Nguyen, Duc T.
AU - Graviss, Edward A.
AU - Bjerrum, Stephanie
AU - Johansen, Isik S.
AU - Gersh, Jill K.
AU - Horne, David J.
AU - LaCourse, Sylvia M.
AU - Al-Darraji, Haider Abdulrazzaq Abed
AU - Kamarulzaman, Adeeba
AU - Kempker, Russell R.
AU - Tukvadze, Nestani
AU - Barr, David A.
AU - Meintjes, Graeme
AU - Maartens, Gary
N1 - Funding Information:
This work was supported by WHO. AD received training in research that was supported by the Fogarty International Center of the National Institutes of Health under award number D43 TW010559 and the National Research Foundation (NRF) of South Africa. GT acknowledges funding from the South African Medical Research Council (SAMRC Flagship Project MRC-RFA-IFSP-01-2013), the EDCTP2 programme supported by the EU ( grant SF1401 , OPTIMAL DIAGNOSIS), and the Faculty of Medicine and Health Sciences, Stellenbosch University. GN acknowledges that the work reported herein was made possible through funding by the South African Medical Research Council (SAMRC) through its Division of Research Capacity Development, under the Internship Scholarship Programme, from funding received from the South African National Treasury. The content of this paper is the sole responsibility of the authors and does not necessarily represent the official views of the SAMRC or the funders. GMe and GMa were supported by core funding from the Wellcome Centre for Infectious Diseases Research in Africa (203135/Z/16/Z). GMe was supported by the Wellcome Trust (214321/Z/18/Z) and the South African Research Chairs Initiative of the Department of Science and Technology and NRF of South Africa (grant number 64787). AB, CM, SSi, and CSM work for WHO; the authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy, or views of WHO. The findings and conclusions in this manuscript are those of the author(s) and do not necessarily represent the official position of the CDC.
Funding Information:
This work was supported by WHO. AD received training in research that was supported by the Fogarty International Center of the National Institutes of Health under award number D43 TW010559 and the National Research Foundation (NRF) of South Africa. GT acknowledges funding from the South African Medical Research Council (SAMRC Flagship Project MRC-RFA-IFSP-01-2013), the EDCTP2 programme supported by the EU (grant SF1401, OPTIMAL DIAGNOSIS), and the Faculty of Medicine and Health Sciences, Stellenbosch University. GN acknowledges that the work reported herein was made possible through funding by the South African Medical Research Council (SAMRC) through its Division of Research Capacity Development, under the Internship Scholarship Programme, from funding received from the South African National Treasury. The content of this paper is the sole responsibility of the authors and does not necessarily represent the official views of the SAMRC or the funders. GMe and GMa were supported by core funding from the Wellcome Centre for Infectious Diseases Research in Africa (203135/Z/16/Z). GMe was supported by the Wellcome Trust (214321/Z/18/Z) and the South African Research Chairs Initiative of the Department of Science and Technology and NRF of South Africa (grant number 64787). AB, CM, SSi, and CSM work for WHO; the authors alone are responsible for the views expressed in this publication and they do not necessarily represent the decisions, policy, or views of WHO. The findings and conclusions in this manuscript are those of the author(s) and do not necessarily represent the official position of the CDC.
Publisher Copyright:
© 2022 World Health Organization
PY - 2022/4
Y1 - 2022/4
N2 - Background: The WHO-recommended tuberculosis screening and diagnostic algorithm in ambulatory people living with HIV is a four-symptom screen (known as the WHO-recommended four symptom screen [W4SS]) followed by a WHO-recommended molecular rapid diagnostic test (eg Xpert MTB/RIF [hereafter referred to as Xpert]) if W4SS is positive. To inform updated WHO guidelines, we aimed to assess the diagnostic accuracy of alternative screening tests and strategies for tuberculosis in this population. Methods: In this systematic review and individual participant data meta-analysis, we updated a search of PubMed (MEDLINE), Embase, the Cochrane Library, and conference abstracts for publications from Jan 1, 2011, to March 12, 2018, done in a previous systematic review to include the period up to Aug 2, 2019. We screened the reference lists of identified pieces and contacted experts in the field. We included prospective cross-sectional, observational studies and randomised trials among adult and adolescent (age ≥10 years) ambulatory people living with HIV, irrespective of signs and symptoms of tuberculosis. We extracted study-level data using a standardised data extraction form, and we requested individual participant data from study authors. We aimed to compare the W4SS with alternative screening tests and strategies and the WHO-recommended algorithm (ie, W4SS followed by Xpert) with Xpert for all in terms of diagnostic accuracy (sensitivity and specificity), overall and in key subgroups (eg, by antiretroviral therapy [ART] status). The reference standard was culture. This study is registered with PROSPERO, CRD42020155895. Findings: We identified 25 studies, and obtained data from 22 studies (including 15 666 participants; 4347 [27·7%] of 15 663 participants with data were on ART). W4SS sensitivity was 82% (95% CI 72–89) and specificity was 42% (29–57). C-reactive protein (≥10 mg/L) had similar sensitivity to (77% [61–88]), but higher specificity (74% [61–83]; n=3571) than, W4SS. Cough (lasting ≥2 weeks), haemoglobin (<10 g/dL), body-mass index (<18·5 kg/m2), and lymphadenopathy had high specificities (80–90%) but low sensitivities (29–43%). The WHO-recommended algorithm had a sensitivity of 58% (50–66) and a specificity of 99% (98–100); Xpert for all had a sensitivity of 68% (57–76) and a specificity of 99% (98–99). In the one study that assessed both, the sensitivity of sputum Xpert Ultra was higher than sputum Xpert (73% [62–81] vs 57% [47–67]) and specificities were similar (98% [96–98] vs 99% [98–100]). Among outpatients on ART (4309 [99·1%] of 4347 people on ART), W4SS sensitivity was 53% (35–71) and specificity was 71% (51–85). In this population, a parallel strategy (two tests done at the same time) of W4SS with any chest x-ray abnormality had higher sensitivity (89% [70–97]) and lower specificity (33% [17–54]; n=2670) than W4SS alone; at a tuberculosis prevalence of 5%, this strategy would require 379 more rapid diagnostic tests per 1000 people living with HIV than W4SS but detect 18 more tuberculosis cases. Among outpatients not on ART (11 160 [71·8%] of 15 541 outpatients), W4SS sensitivity was 85% (76–91) and specificity was 37% (25–51). C-reactive protein (≥10 mg/L) alone had a similar sensitivity to (83% [79–86]), but higher specificity (67% [60–73]; n=3187) than, W4SS and a sequential strategy (both test positive) of W4SS then C-reactive protein (≥5 mg/L) had a similar sensitivity to (84% [75–90]), but higher specificity than (64% [57–71]; n=3187), W4SS alone; at 10% tuberculosis prevalence, these strategies would require 272 and 244 fewer rapid diagnostic tests per 1000 people living with HIV than W4SS but miss two and one more tuberculosis cases, respectively. Interpretation: C-reactive protein reduces the need for further rapid diagnostic tests without compromising sensitivity and has been included in the updated WHO tuberculosis screening guidelines. However, C-reactive protein data were scarce for outpatients on ART, necessitating future research regarding the utility of C-reactive protein in this group. Chest x-ray can be useful in outpatients on ART when combined with W4SS. The WHO-recommended algorithm has suboptimal sensitivity; Xpert for all offers slight sensitivity gains and would have major resource implications. Funding: World Health Organization.
AB - Background: The WHO-recommended tuberculosis screening and diagnostic algorithm in ambulatory people living with HIV is a four-symptom screen (known as the WHO-recommended four symptom screen [W4SS]) followed by a WHO-recommended molecular rapid diagnostic test (eg Xpert MTB/RIF [hereafter referred to as Xpert]) if W4SS is positive. To inform updated WHO guidelines, we aimed to assess the diagnostic accuracy of alternative screening tests and strategies for tuberculosis in this population. Methods: In this systematic review and individual participant data meta-analysis, we updated a search of PubMed (MEDLINE), Embase, the Cochrane Library, and conference abstracts for publications from Jan 1, 2011, to March 12, 2018, done in a previous systematic review to include the period up to Aug 2, 2019. We screened the reference lists of identified pieces and contacted experts in the field. We included prospective cross-sectional, observational studies and randomised trials among adult and adolescent (age ≥10 years) ambulatory people living with HIV, irrespective of signs and symptoms of tuberculosis. We extracted study-level data using a standardised data extraction form, and we requested individual participant data from study authors. We aimed to compare the W4SS with alternative screening tests and strategies and the WHO-recommended algorithm (ie, W4SS followed by Xpert) with Xpert for all in terms of diagnostic accuracy (sensitivity and specificity), overall and in key subgroups (eg, by antiretroviral therapy [ART] status). The reference standard was culture. This study is registered with PROSPERO, CRD42020155895. Findings: We identified 25 studies, and obtained data from 22 studies (including 15 666 participants; 4347 [27·7%] of 15 663 participants with data were on ART). W4SS sensitivity was 82% (95% CI 72–89) and specificity was 42% (29–57). C-reactive protein (≥10 mg/L) had similar sensitivity to (77% [61–88]), but higher specificity (74% [61–83]; n=3571) than, W4SS. Cough (lasting ≥2 weeks), haemoglobin (<10 g/dL), body-mass index (<18·5 kg/m2), and lymphadenopathy had high specificities (80–90%) but low sensitivities (29–43%). The WHO-recommended algorithm had a sensitivity of 58% (50–66) and a specificity of 99% (98–100); Xpert for all had a sensitivity of 68% (57–76) and a specificity of 99% (98–99). In the one study that assessed both, the sensitivity of sputum Xpert Ultra was higher than sputum Xpert (73% [62–81] vs 57% [47–67]) and specificities were similar (98% [96–98] vs 99% [98–100]). Among outpatients on ART (4309 [99·1%] of 4347 people on ART), W4SS sensitivity was 53% (35–71) and specificity was 71% (51–85). In this population, a parallel strategy (two tests done at the same time) of W4SS with any chest x-ray abnormality had higher sensitivity (89% [70–97]) and lower specificity (33% [17–54]; n=2670) than W4SS alone; at a tuberculosis prevalence of 5%, this strategy would require 379 more rapid diagnostic tests per 1000 people living with HIV than W4SS but detect 18 more tuberculosis cases. Among outpatients not on ART (11 160 [71·8%] of 15 541 outpatients), W4SS sensitivity was 85% (76–91) and specificity was 37% (25–51). C-reactive protein (≥10 mg/L) alone had a similar sensitivity to (83% [79–86]), but higher specificity (67% [60–73]; n=3187) than, W4SS and a sequential strategy (both test positive) of W4SS then C-reactive protein (≥5 mg/L) had a similar sensitivity to (84% [75–90]), but higher specificity than (64% [57–71]; n=3187), W4SS alone; at 10% tuberculosis prevalence, these strategies would require 272 and 244 fewer rapid diagnostic tests per 1000 people living with HIV than W4SS but miss two and one more tuberculosis cases, respectively. Interpretation: C-reactive protein reduces the need for further rapid diagnostic tests without compromising sensitivity and has been included in the updated WHO tuberculosis screening guidelines. However, C-reactive protein data were scarce for outpatients on ART, necessitating future research regarding the utility of C-reactive protein in this group. Chest x-ray can be useful in outpatients on ART when combined with W4SS. The WHO-recommended algorithm has suboptimal sensitivity; Xpert for all offers slight sensitivity gains and would have major resource implications. Funding: World Health Organization.
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U2 - 10.1016/S1473-3099(21)00387-X
DO - 10.1016/S1473-3099(21)00387-X
M3 - Article
C2 - 34800394
AN - SCOPUS:85120500267
SN - 1473-3099
VL - 22
SP - 507
EP - 518
JO - The Lancet Infectious Diseases
JF - The Lancet Infectious Diseases
IS - 4
ER -