Evidence map›Paper›PMID 32530972›Full record

ArticlePloS one2020

Outcomes of HIV-positive patients with non-tuberculous mycobacteria positive culture who received anti-tuberculous treatment in Botswana: Implications of using diagnostic algorithms without non-tuberculous mycobacteria.

Tefera Agizew, Rosanna Boyd, Unami Mathebula, Anikie Mathoma, Joyce Basotli, Christipher Serumola, Sherri Pals, Alyssa Finlay, Phenyo Lekone, Goabaone Rankgoane-Pono and 3 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Tefera AgizewU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.ORCID 0000-0003-1848-7307
Rosanna BoydU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Unami MathebulaU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Anikie MathomaU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Joyce BasotliU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Christipher SerumolaU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Sherri PalsDivision of Global HIV/AIDS and Tuberculosis, CDC, Atlanta, Georgia, United States of America.
Alyssa FinlayU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Phenyo LekoneU.S. Centers for Disease Control and Prevention (CDC), Gaborone, Botswana.
Goabaone Rankgoane-PonoMinistry of Health and Wellness, National Tuberculosis Control Programme, Gaborone, Botswana.
Thato TlhakaneloDepartment of Family Medicine and Public Health, Faculty of Medicine, University of Botswana, Gaborone, Botswana.
Violet ChihotaSchool of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.
Andrew F AuldDivision of Global HIV/AIDS and Tuberculosis, CDC, Atlanta, Georgia, United States of America.

Funding

PEPFAR
6 · The paper itself

Abstract

backgroundPatients with non-tuberculous mycobacteria (NTM) or Mycobacterium tuberculosis (MTB) pulmonary disease may have similar clinical presentation. The potential for misdiagnosis and inappropriate treatment exists in settings with limited testing capacity for Xpert® MTB/RIF (Xpert), phenotypic culture and NTM speciation. We describe treatment outcomes among people living with HIV (PLHIV) who received anti-tuberculosis treatment and were found to have NTM or MTB positive sputum cultures.

methodsPLHIV attending one of the 22 participating HIV clinics, who screened positive for ≥1 tuberculosis (TB) symptoms (cough, fever, night sweats, or weight loss) were asked to submit sputa for culture and speciation from August 2012 to November 2014. The national intensified TB case finding algorithms were followed: initially symptomatic patients were evaluated by testing sputum samples using a smear (smear-based TB diagnostic algorithm) and, after GeneXpert instruments were installed, by testing with Xpert (Xpert-based TB diagnostic algorithm). Within the study period, TB diagnostic algorithms used for MTB did not include screening, diagnosis, and management of NTM. Despite MTB negative culture, some symptomatic patients, including those with NTM positive culture, received empirical anti-TB treatment at the discretion of treating clinicians. Per the World Health Organization treatment outcomes classification: died, treatment failure or loss-to-follow-up were classified as unfavorable (unsuccessful) outcome; cured and treatment completed were classified as favorable (successful) outcome. Empiric treatment was defined as initiating treatment without or before receiving a test result indicating MTB. We compare treatment outcomes and characteristics among patients with NTM or MTB positive culture who received anti-TB treatment.

resultsAmong 314 PLHIV, who were found co-infected with TB, 146 cases had microbiological evidence; and for 131/146 MTB positive cultures were reported. One-hundred fifty-two of the 314 were clinically diagnosed with TB and treated empirically. Among those empirically treated for TB, 36/152 had culture results positive for NTM, and another 43/152 had culture results positive for MTB, reported after patients received empirical anti-TB treatment. Overall, MTB positive culture results were reported for 174 (131 plus 43) patients. Treatment outcomes were available for 32/36 NTM and 139/174 MTB; unfavorable outcomes were 12.5% and 8.7% for NTM and MTB, respectively, p = 0.514, respectively. For 34/36 tested NTM patients, all Xpert results indicated 'no MTB'. Among patients who initially received empiric anti-TB treatment and ultimately were found to have MTB positive culture, the unfavorable outcome was 11.8% (4/34), compared to 12.5% (4/32) of patients with NTM positive culture, Fisher's exact test p = 1.00.

conclusionsWhile the higher unfavorable outcome was non statistically significant, the impact of inappropriate treatment among NTM patients should not be overlooked. Our findings suggest that Xpert has the potential to rapidly rule-out NTM and avoid sub-optimal treatment; further research is needed to evaluate such potential.

Indexed as

AlgorithmsAdultAntitubercular AgentsBotswanaFemaleHIV InfectionsHumansMaleNontuberculous MycobacteriaRisk FactorsSpecies SpecificityTreatment OutcomeTuberculosisAntitubercular Agents

Identifiers

PMID32530972
PMCPMC7292360

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.