Cargando…
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...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
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 |
_version_ | 1783254991678472192 |
---|---|
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. |
format | Online Article Text |
id | pubmed-5542442 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT hanifayasmeen aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT fieldingkatherinel aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT chihotavioletn aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT adonislungiswa aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT charalamboussalome aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT fosternicola aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT karstaedtalan aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT mccarthykerrigan aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT nicolmarkp aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT ndlovunontobekot aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT sinanovicedina aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT sahidfaieza aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT stevenswendy aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT vassallanna aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT churchyardgavinj aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT grantalisond aclinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT hanifayasmeen clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT fieldingkatherinel clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT chihotavioletn clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT adonislungiswa clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT charalamboussalome clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT fosternicola clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT karstaedtalan clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT mccarthykerrigan clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT nicolmarkp clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT ndlovunontobekot clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT sinanovicedina clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT sahidfaieza clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT stevenswendy clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT vassallanna clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT churchyardgavinj clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica AT grantalisond clinicalscoringsystemtoprioritiseinvestigationfortuberculosisamongadultsattendinghivclinicsinsouthafrica |