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Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial

Chen, Ray Y; Via, Laura E; Dodd, Lori E; Walzl, Gerhard; Malherbe, Stephanus T; Loxton, André G; Dawson, Rodney; Wilkinson, Robert J; Thienemann, Friedrich; Tameris, Michele; Diacon, Andreas H; Liu, Xin; et al (2017). Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial. Gates Open Research:1:9.

Abstract

Background: By the early 1980s, tuberculosis treatment was shortened from 24 to 6 months, maintaining relapse rates of 1-2%. Subsequent trials attempting shorter durations have failed, with 4-month arms consistently having relapse rates of 15-20%. One trial shortened treatment only among those without baseline cavity on chest x-ray and whose month 2 sputum culture converted to negative. The 4-month arm relapse rate decreased to 7% but was still significantly worse than the 6-month arm (1.6%, P<0.01). We hypothesize that PET/CT characteristics at baseline, PET/CT changes at one month, and markers of residual bacterial load will identify patients with tuberculosis who can be cured with 4 months (16 weeks) of standard treatment. Methods: This is a prospective, multicenter, randomized, phase 2b, noninferiority clinical trial of pulmonary tuberculosis participants. Those eligible start standard of care treatment. PET/CT scans are done at weeks 0, 4, and 16 or 24. Participants who do not meet early treatment completion criteria (baseline radiologic severity, radiologic response at one month, and GeneXpert-detectable bacilli at four months) are placed in Arm A (24 weeks of standard therapy). Those who meet the early treatment completion criteria are randomized at week 16 to continue treatment to week 24 (Arm B) or complete treatment at week 16 (Arm C). The primary endpoint compares the treatment success rate at 18 months between Arms B and C. Discussion: Multiple biomarkers have been assessed to predict TB treatment outcomes. This study uses PET/CT scans and GeneXpert (Xpert) cycle threshold to risk stratify participants. PET/CT scans are not applicable to global public health but could be used in clinical trials to stratify participants and possibly become a surrogate endpoint. If the Predict TB trial is successful, other immunological biomarkers or transcriptional signatures that correlate with treatment outcome may be identified.

Additional indexing

Item Type:Journal Article, not_refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic and Policlinic for Internal Medicine
Dewey Decimal Classification:610 Medicine & health
Scopus Subject Areas:Health Sciences > Health Policy
Health Sciences > Public Health, Environmental and Occupational Health
Health Sciences > Medicine (miscellaneous)
Life Sciences > Biochemistry, Genetics and Molecular Biology (miscellaneous)
Life Sciences > Immunology and Microbiology (miscellaneous)
Language:English
Date:2017
Deposited On:12 Jul 2018 10:16
Last Modified:24 Nov 2024 04:32
Publisher:Bill and Melinda Gates Foundation
ISSN:2572-4754
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.12688/gatesopenres.12750.1
PubMed ID:29528048
Project Information:
  • Funder: H2020
  • Grant ID: 696425
  • Project Title: EPICHECK - Detection of Various Cancer Types for Screening and Diagnosis through Blood Samples with Epigenetic Biomarkers Panels
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