Pharmacometrics to Advance Novel Regimens for Drug-resistant Tuberculosis-PandrTB Tuberculosis
NCT ID: NCT03827811
Last Updated: 2022-11-04
Study Results
Results pending
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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Recruitment Status
UNKNOWN
Total Enrollment
625 participants
Study Classification
OBSERVATIONAL
Study Start Date
2020-01-30
Study Completion Date
2023-04-30
Brief Summary
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PandrTB is a study of the pharmacokinetics(PK) and pharmacodynamics(PD) of bedaquiline, delamanid, clofazimine, linezolid, moxifloxacin, levofloxacin and pyrazinamide used in novel combinations to treat multidrug-resistant tuberculosis(MDR-TB).
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Detailed Description
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PandrTB is an observational study nested in the endTB (a randomized study that will evaluate five 9-month, injectable-sparing regimens) and endTB-Q (and RCT evaluating a 4 drug oral regimen given for 6 or 9 months) trials. These trials are providing evidence to support the transformation of MDR-TB treatment. As part of PandrTB: the plasma concentrations of the experimental arm drugs (the new and repurposed drugs bedaquiline, delamanid, clofazimine and linezolid, as well as levofloxacin, moxifloxacin and pyrazinamide) will be measured; MICs will be determined in baseline isolates; and MGIT cultures, additional to those in the endTB study, will be performed at weeks 6 and 10. Nonlinear mixed-effects models will describe the population PK of the drugs and a pharmacodynamic (PD) model of treatment response of Mycobacterium tuberculosis(Mtb) load over time. Recursive partitioning methods will evaluate baseline MICs and PK measures as drivers of treatment response (as described by the parameters of the PD model of initial treatment response of Mtb load over time, and the endTB trial endpoints: time to culture conversion, longer-term outcomes, and acquisition of phenotypic resistance). Thus the key drugs and plasma drug exposure thresholds for activity will be defined, and exposure-dependent synergy or antagonism identified. The risks of toxicities (as assessed in the endTB study) will be estimated, by plasma drug exposure and important comorbidity (including HIV infection). In this way, the PK-efficacy and PK-toxicity analyses will allow definition of target plasma drug exposures. Simulations will predict optimal doses. To advance the understanding of drug penetration, we will develop approaches to measure free drug plasma concentrations. Drug-drug interactions will be described. Thus PandrTB will inform how best to use these new and repurposed drugs in combination, to create the most effective and least toxic regimens while minimizing the development of further drug resistance.
Conditions
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Multi-drug Resistant Tuberculosis
Study Design
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Observational Model Type
COHORT
Study Time Perspective
PROSPECTIVE
Study Groups
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PandrTB cohort
endTB and endTB-Q study participants on experimental regimen
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
All patients enrolled to the experimental arms of the endTB study and provide their written informed consent to participate in the PandrTB study.
Exclusion Criteria
\-
Minimum Eligible Age
15 Years
Maximum Eligible Age
99 Years
Eligible Sex
ALL
Accepts Healthy Volunteers
No
Sponsors
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Partners in Health
OTHER
Sponsor Role
collaborator
Epicentre
OTHER
Sponsor Role
collaborator
Medecins Sans Frontieres, Netherlands
OTHER
Sponsor Role
collaborator
Institute of Tropical Medicine, Belgium
OTHER
Sponsor Role
collaborator
Interactive Research and Development
OTHER
Sponsor Role
collaborator
University of Cape Town
OTHER
Sponsor Role
lead
Responsible Party
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Helen Margaret McIlleron
Professor
Responsibility Role
PRINCIPAL_INVESTIGATOR
Principal Investigators
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Helen McIlleron, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Cape Town
Locations
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National Scientific Center of Phthisiopulmonology
Almaty, , Kazakhstan
Site Status
RECRUITING
Partners in Health Lesotho House 233 Corner Lancers and Caldwell Roads
Maseru, , Lesotho
Site Status
COMPLETED
Indus Hospital
Karachi, , Pakistan
Site Status
RECRUITING
Peru-1
Lima, , Peru
Site Status
RECRUITING
Peru_2
Lima, , Peru
Site Status
RECRUITING
Khayelitsha Town 2 Clinic
Cape Town, Western Cape, South Africa
Site Status
TERMINATED
Hanoi Lung Hospital
Hanoi, , Vietnam
Site Status
RECRUITING
Countries
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Kazakhstan
Lesotho
Pakistan
Peru
South Africa
Vietnam
Central Contacts
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Facility Contacts
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References
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Gumbo T, Chigutsa E, Pasipanodya J, Visser M, van Helden PD, Sirgel FA, McIlleron H. The pyrazinamide susceptibility breakpoint above which combination therapy fails. J Antimicrob Chemother. 2014 Sep;69(9):2420-5. doi: 10.1093/jac/dku136. Epub 2014 May 12.
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Pasipanodya JG, McIlleron H, Burger A, Wash PA, Smith P, Gumbo T. Serum drug concentrations predictive of pulmonary tuberculosis outcomes. J Infect Dis. 2013 Nov 1;208(9):1464-73. doi: 10.1093/infdis/jit352. Epub 2013 Jul 29.
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Chigutsa E, Pasipanodya JG, Visser ME, van Helden PD, Smith PJ, Sirgel FA, Gumbo T, McIlleron H. Impact of nonlinear interactions of pharmacokinetics and MICs on sputum bacillary kill rates as a marker of sterilizing effect in tuberculosis. Antimicrob Agents Chemother. 2015 Jan;59(1):38-45. doi: 10.1128/AAC.03931-14. Epub 2014 Oct 13.
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Chirehwa MT, Rustomjee R, Mthiyane T, Onyebujoh P, Smith P, McIlleron H, Denti P. Model-Based Evaluation of Higher Doses of Rifampin Using a Semimechanistic Model Incorporating Autoinduction and Saturation of Hepatic Extraction. Antimicrob Agents Chemother. 2015 Nov 9;60(1):487-94. doi: 10.1128/AAC.01830-15. Print 2016 Jan.
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McIlleron H, Rustomjee R, Vahedi M, Mthiyane T, Denti P, Connolly C, Rida W, Pym A, Smith PJ, Onyebujoh PC. Reduced antituberculosis drug concentrations in HIV-infected patients who are men or have low weight: implications for international dosing guidelines. Antimicrob Agents Chemother. 2012 Jun;56(6):3232-8. doi: 10.1128/AAC.05526-11. Epub 2012 Mar 12.
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Chigutsa E, Visser ME, Swart EC, Denti P, Pushpakom S, Egan D, Holford NH, Smith PJ, Maartens G, Owen A, McIlleron H. The SLCO1B1 rs4149032 polymorphism is highly prevalent in South Africans and is associated with reduced rifampin concentrations: dosing implications. Antimicrob Agents Chemother. 2011 Sep;55(9):4122-7. doi: 10.1128/AAC.01833-10. Epub 2011 Jun 27.
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Savic RM, Ruslami R, Hibma JE, Hesseling A, Ramachandran G, Ganiem AR, Swaminathan S, McIlleron H, Gupta A, Thakur K, van Crevel R, Aarnoutse R, Dooley KE. Pediatric tuberculous meningitis: Model-based approach to determining optimal doses of the anti-tuberculosis drugs rifampin and levofloxacin for children. Clin Pharmacol Ther. 2015 Dec;98(6):622-9. doi: 10.1002/cpt.202. Epub 2015 Oct 22.
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Shenje J, Ifeoma Adimora-Nweke F, Ross IL, Ntsekhe M, Wiesner L, Deffur A, McIlleron HM, Pasipanodya J, Gumbo T, Mayosi BM. Poor Penetration of Antibiotics Into Pericardium in Pericardial Tuberculosis. EBioMedicine. 2015 Sep 16;2(11):1640-9. doi: 10.1016/j.ebiom.2015.09.025. eCollection 2015 Nov.
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Svensson EM, Dooley KE, Karlsson MO. Impact of lopinavir-ritonavir or nevirapine on bedaquiline exposures and potential implications for patients with tuberculosis-HIV coinfection. Antimicrob Agents Chemother. 2014 Nov;58(11):6406-12. doi: 10.1128/AAC.03246-14. Epub 2014 Aug 11.
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Svensson EM, Aweeka F, Park JG, Marzan F, Dooley KE, Karlsson MO. Model-based estimates of the effects of efavirenz on bedaquiline pharmacokinetics and suggested dose adjustments for patients coinfected with HIV and tuberculosis. Antimicrob Agents Chemother. 2013 Jun;57(6):2780-7. doi: 10.1128/AAC.00191-13. Epub 2013 Apr 9.
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BACKGROUND
Pandie M, Wiesner L, McIlleron H, Hughes J, Siwendu S, Conradie F, Variava E, Maartens G. Drug-drug interactions between bedaquiline and the antiretrovirals lopinavir/ritonavir and nevirapine in HIV-infected patients with drug-resistant TB. J Antimicrob Chemother. 2016 Apr;71(4):1037-40. doi: 10.1093/jac/dkv447. Epub 2016 Jan 7.
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BACKGROUND
Mallikaarjun S, Wells C, Petersen C, Paccaly A, Shoaf SE, Patil S, Geiter L. Delamanid Coadministered with Antiretroviral Drugs or Antituberculosis Drugs Shows No Clinically Relevant Drug-Drug Interactions in Healthy Subjects. Antimicrob Agents Chemother. 2016 Sep 23;60(10):5976-85. doi: 10.1128/AAC.00509-16. Print 2016 Oct.
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BACKGROUND
Chigutsa E, Patel K, Denti P, Visser M, Maartens G, Kirkpatrick CM, McIlleron H, Karlsson MO. A time-to-event pharmacodynamic model describing treatment response in patients with pulmonary tuberculosis using days to positivity in automated liquid mycobacterial culture. Antimicrob Agents Chemother. 2013 Feb;57(2):789-95. doi: 10.1128/AAC.01876-12. Epub 2012 Nov 26.
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BACKGROUND
Svensson E. A model-based analysis to describe bedaquiline's exposure-response relationship and predict the impact of drug-drug interactions. 9th Int workshop on Clinical Pharmacology of Tuberculosis Drugs 2016, Liverpool October 2016; Abstract O_01.
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Taubel J, Naseem A, Harada T, Wang D, Arezina R, Lorch U, Camm AJ. Levofloxacin can be used effectively as a positive control in thorough QT/QTc studies in healthy volunteers. Br J Clin Pharmacol. 2010 Apr;69(4):391-400. doi: 10.1111/j.1365-2125.2009.03595.x.
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BACKGROUND
Naidoo A, Chirehwa M, McIlleron H, Naidoo K, Essack S, Yende-Zuma N, Kimba-Phongi E, Adamson J, Govender K, Padayatchi N, Denti P. Effect of rifampicin and efavirenz on moxifloxacin concentrations when co-administered in patients with drug-susceptible TB. J Antimicrob Chemother. 2017 May 1;72(5):1441-1449. doi: 10.1093/jac/dkx004.
Reference Type
BACKGROUND
Related Links
Access external resources that provide additional context or updates about the study.
http://www.who.int/tb/publications/global_report/en/
World Health Organization. Global tuberculosis report 2016. Geneva: WHO; 2016
Other Identifiers
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PandrTB
Identifier Type: -
Identifier Source: org_study_id
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