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A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa

BACKGROUND: The World Health Organization (WHO) recommendation for regular tuberculosis (TB) screening of HIV-positive individuals with Xpert MTB/RIF as the first diagnostic test has major resource implications. OBJECTIVE: To develop a diagnostic prediction model for TB, for symptomatic adults atten...

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Autores principales: Hanifa, Yasmeen, Fielding, Katherine L., Chihota, Violet N., Adonis, Lungiswa, Charalambous, Salome, Foster, Nicola, Karstaedt, Alan, McCarthy, Kerrigan, Nicol, Mark P., Ndlovu, Nontobeko T., Sinanovic, Edina, Sahid, Faieza, Stevens, Wendy, Vassall, Anna, Churchyard, Gavin J., Grant, Alison D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542442/
https://www.ncbi.nlm.nih.gov/pubmed/28771504
http://dx.doi.org/10.1371/journal.pone.0181519
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author Hanifa, Yasmeen
Fielding, Katherine L.
Chihota, Violet N.
Adonis, Lungiswa
Charalambous, Salome
Foster, Nicola
Karstaedt, Alan
McCarthy, Kerrigan
Nicol, Mark P.
Ndlovu, Nontobeko T.
Sinanovic, Edina
Sahid, Faieza
Stevens, Wendy
Vassall, Anna
Churchyard, Gavin J.
Grant, Alison D.
author_facet Hanifa, Yasmeen
Fielding, Katherine L.
Chihota, Violet N.
Adonis, Lungiswa
Charalambous, Salome
Foster, Nicola
Karstaedt, Alan
McCarthy, Kerrigan
Nicol, Mark P.
Ndlovu, Nontobeko T.
Sinanovic, Edina
Sahid, Faieza
Stevens, Wendy
Vassall, Anna
Churchyard, Gavin J.
Grant, Alison D.
author_sort Hanifa, Yasmeen
collection PubMed
description BACKGROUND: The World Health Organization (WHO) recommendation for regular tuberculosis (TB) screening of HIV-positive individuals with Xpert MTB/RIF as the first diagnostic test has major resource implications. OBJECTIVE: To develop a diagnostic prediction model for TB, for symptomatic adults attending for routine HIV care, to prioritise TB investigation. DESIGN: Cohort study exploring a TB testing algorithm. SETTING: HIV clinics, South Africa. PARTICIPANTS: Representative sample of adult HIV clinic attendees; data from participants reporting ≥1 symptom on the WHO screening tool were split 50:50 to derive, then internally validate, a prediction model. OUTCOME: TB, defined as “confirmed” if Xpert MTB/RIF, line probe assay or M. tuberculosis culture were positive; and “clinical” if TB treatment started without microbiological confirmation, within six months of enrolment. RESULTS: Overall, 79/2602 (3.0%) participants on ART fulfilled TB case definitions, compared to 65/906 (7.2%) pre-ART. Among 1133/3508 (32.3%) participants screening positive on the WHO tool, 1048 met inclusion criteria for this analysis: 52/515 (10.1%) in the derivation and 58/533 (10.9%) in the validation dataset had TB. Our final model comprised ART status (on ART > 3 months vs. pre-ART or ART < 3 months); body mass index (continuous); CD4 (continuous); number of WHO symptoms (1 vs. >1 symptom). We converted this to a clinical score, using clinically-relevant CD4 and BMI categories. A cut-off score of ≥3 identified those with TB with sensitivity and specificity of 91.8% and 34.3% respectively. If investigation was prioritised for individuals with score of ≥3, 68% (717/1048) symptomatic individuals would be tested, among whom the prevalence of TB would be 14.1% (101/717); 32% (331/1048) of tests would be avoided, but 3% (9/331) with TB would be missed amongst those not tested. CONCLUSION: Our clinical score may help prioritise TB investigation among symptomatic individuals.
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spelling pubmed-55424422017-08-12 A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa Hanifa, Yasmeen Fielding, Katherine L. Chihota, Violet N. Adonis, Lungiswa Charalambous, Salome Foster, Nicola Karstaedt, Alan McCarthy, Kerrigan Nicol, Mark P. Ndlovu, Nontobeko T. Sinanovic, Edina Sahid, Faieza Stevens, Wendy Vassall, Anna Churchyard, Gavin J. Grant, Alison D. PLoS One Research Article BACKGROUND: The World Health Organization (WHO) recommendation for regular tuberculosis (TB) screening of HIV-positive individuals with Xpert MTB/RIF as the first diagnostic test has major resource implications. OBJECTIVE: To develop a diagnostic prediction model for TB, for symptomatic adults attending for routine HIV care, to prioritise TB investigation. DESIGN: Cohort study exploring a TB testing algorithm. SETTING: HIV clinics, South Africa. PARTICIPANTS: Representative sample of adult HIV clinic attendees; data from participants reporting ≥1 symptom on the WHO screening tool were split 50:50 to derive, then internally validate, a prediction model. OUTCOME: TB, defined as “confirmed” if Xpert MTB/RIF, line probe assay or M. tuberculosis culture were positive; and “clinical” if TB treatment started without microbiological confirmation, within six months of enrolment. RESULTS: Overall, 79/2602 (3.0%) participants on ART fulfilled TB case definitions, compared to 65/906 (7.2%) pre-ART. Among 1133/3508 (32.3%) participants screening positive on the WHO tool, 1048 met inclusion criteria for this analysis: 52/515 (10.1%) in the derivation and 58/533 (10.9%) in the validation dataset had TB. Our final model comprised ART status (on ART > 3 months vs. pre-ART or ART < 3 months); body mass index (continuous); CD4 (continuous); number of WHO symptoms (1 vs. >1 symptom). We converted this to a clinical score, using clinically-relevant CD4 and BMI categories. A cut-off score of ≥3 identified those with TB with sensitivity and specificity of 91.8% and 34.3% respectively. If investigation was prioritised for individuals with score of ≥3, 68% (717/1048) symptomatic individuals would be tested, among whom the prevalence of TB would be 14.1% (101/717); 32% (331/1048) of tests would be avoided, but 3% (9/331) with TB would be missed amongst those not tested. CONCLUSION: Our clinical score may help prioritise TB investigation among symptomatic individuals. Public Library of Science 2017-08-03 /pmc/articles/PMC5542442/ /pubmed/28771504 http://dx.doi.org/10.1371/journal.pone.0181519 Text en © 2017 Hanifa et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hanifa, Yasmeen
Fielding, Katherine L.
Chihota, Violet N.
Adonis, Lungiswa
Charalambous, Salome
Foster, Nicola
Karstaedt, Alan
McCarthy, Kerrigan
Nicol, Mark P.
Ndlovu, Nontobeko T.
Sinanovic, Edina
Sahid, Faieza
Stevens, Wendy
Vassall, Anna
Churchyard, Gavin J.
Grant, Alison D.
A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title_full A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title_fullStr A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title_full_unstemmed A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title_short A clinical scoring system to prioritise investigation for tuberculosis among adults attending HIV clinics in South Africa
title_sort clinical scoring system to prioritise investigation for tuberculosis among adults attending hiv clinics in south africa
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5542442/
https://www.ncbi.nlm.nih.gov/pubmed/28771504
http://dx.doi.org/10.1371/journal.pone.0181519
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