Evidence map›Paper›PMID 41666130›Full record

ArticlePLOS global public health2026

QT prolongation risk factors and a monitoring strategy in rifampicin-resistant tuberculosis: Findings from the STREAM Stage 2 trial.

Gareth Hughes, Elena Frangou, Henry Bern, Meera Gurumurthy, Bazarragchaa Tsogt, Chen-Yuan Chiang, Andrew J Nunn, Sarah K Meredith, Ruth L Goodall, STREAM Trial Collaboration

Abstract read
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Article in PLOS global public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Gareth HughesMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.ORCID https://orcid.org/0009-0009-1802-5381
Elena FrangouMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.ORCID https://orcid.org/0000-0002-5978-292X
Henry BernMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.
Meera GurumurthyVital Strategies Health Systems, Asia Pacific, Singapore, Singapore.
Bazarragchaa TsogtMongolian Tuberculosis Coalition, Ulaanbaatar, Mongolia.
Chen-Yuan ChiangDepartment of Internal Medicine, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.ORCID https://orcid.org/0000-0002-9291-2490
Andrew J NunnMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.ORCID https://orcid.org/0000-0002-9158-4595
Sarah K MeredithMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.
Ruth L GoodallMRC Clinical Trials Unit at UCL, Institute of Clinical Trials and Methodology, London, United Kingdom.
STREAM Trial Collaboration

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Treatment of rifampicin-resistant tuberculosis (RR-TB) involves drugs that can prolong the QT interval. There is limited data on risk factors and the level of cardiac monitoring required. We analysed STREAM Stage 2 data to address these issues. A post-hoc analysis was undertaken of data from participants allocated to 3 regimens: 9-month control (n = 202), 9-month oral (n = 211) and 6-month (n = 143). Risk factors for development of a QT or QTcF (corrected QT interval [Fredericia's formula]) interval ≥500ms were assessed. The diagnostic accuracy of a monitoring strategy for QT/QTcF prolongation was tested. QT/QTcF ≥ 500ms occurred on all regimens: 9-month control (n = 14 (6.9%)), 9-month oral (n = 8 (3.8%)) and 6-month (n = 6 (4.2%)). The participating country with the highest number of QT/QTcF interval ≥500ms events was Mongolia (18 events [64%]). A higher baseline QTcF was significantly associated with development of QT/QTcF ≥ 500ms (OR 1.05; 95% CI 1.03 to 1.07, p < 0.001). There was a suggested association between moxifloxacin (compared to levofloxacin, OR 2.49; 95% CI 0.92 to 6.71, p = 0.07) and a higher baseline TSH (OR 3.52; 95% CI 0.84 to 14.73, p = 0.08) and increased odds of QT/QTcF ≥ 500ms. The monitoring strategy performed well in the control (sensitivity 100%; specificity 62%; positive predictive value (PPV) 13% and negative predictive value (NPV) 100%) and oral (sensitivity 100%, specificity 59%, PPV 6% and NPV 100%) regimen groups. Baseline QTcF and geographical region were associated with increased odds of QT/QTcF prolongation. The monitoring strategy performed well in the identification of participants at higher risk of QT/QTcF prolongation.

Identifiers

PMID41666130
PMCPMC12890085

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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.