Hypotheses: Rifapentine (given as water-dispersible monolayer and/or fixed dose combination with isoniazid) dosing in HIV-infected and uninfected children ≤ 12 years of age with latent TB infection (LTBI) or with exposure to Mycobacterium tuberculosis (M. tuberculosis) will require higher mg/kg rifapentine dosing than adults to achieve adult- exposures which are correlated with efficacy in trials of TB prevention. Investigators further hypothesize that rifapentine will be safe and well-tolerated in HIV-infected and uninfected children who require treatment for LTBI.
Design: Tuberculosis Trials Consortium Study 35 (TBTC S35) is a Phase I/II, open-label, single arm, exposure-controlled dose finding study using an adaptive design. S35 will evaluate the pharmacokinetics (PK), safety and tolerability of rifapentine given in a new fixed dose combination once-weekly, in combination with isoniazid for 12 weeks, in HIV-infected and HIV-uninfected children aged 0-12 years in whom LTBI treatment is indicated. The study utilizes a modified age de-escalation approach given the extensive PK and safety data already available in children older than 2 years of age. The protocol allows for parallel enrolment of children into cohorts 1 and 2, simultaneously, using a predetermined modeled initial dose for each cohort, separately. Similarly, cohorts 3 and 4 will be enrolled in parallel, using modeled doses for each cohort, based on data from cohorts 1 and 2 and historical data from TBTC trials. Sample Size: Approximately 72 participants will be required to ensure a minimum number of 60 evaluable participants. Participants will be enrolled in 4 age cohorts: Cohort 1: ≥ 4 to ≤ 12 years Cohort 2: ≥ 24 months to \< 4 years Cohort 3: ≥ 12 to \< 24 months Cohort 4: 0 to \<12 months There will be a minimum of 12 participants each in cohorts 1 and 2, and 18 participants each in cohorts 3 and 4, to allow for 36 participants in the age group below 2 years, given the importance of developmental pharmacology in this youngest age group (Table 1) and the lack of historical data in this age group. Cohorts 3 and 4 will be enrolled once week 1 PK and safety data is available in cohorts 1 and 2. Up to 18 HIV-infected children overall will be enrolled, with a target of 12 HIV-infected children overall. It is expected that most HIV-infected children will be \> 3 years of age given current international recommendations regarding the use of efavirenz in children in international settings, where the study will be conducted. However, it is expected that integrase inhibitors (e.g. raltegravir) would become more routinely available during the study period, allowing younger HIV-infected children to also be enrolled on study. Population: HIV-infected and uninfected children aged 0-12 years who could benefit from chemotherapy for LTBI to prevent the development of active tuberculosis, who have documented close recent exposure to a bacteriologically positive drug sensitive adult pulmonary TB source case, or who have proof of M. tuberculosis infection. HIV-infected children will be established on anti-retroviral therapy for at least 12 weeks prior to enrolment. Sites: TBTC Site 33, Desmond Tutu TB Centre, Department of Paediatrics and Child Health, Stellenbosch University, South Africa TBTC Site 34, Baragwaneth, Perinatal HIV Research Unit (PHRU), Wits Health Consortium, Soweto, Johannesburg, South Africa Study Duration: Child participants will be on study for a total of 24 weeks, including a 12-week rifapentine and isoniazid dosing period, with an additional follow-up period of 12 weeks. The overall study accrual period will be approximately 18 months and the total study duration will be approximately 36 months. Description of Agent or Intervention: Participants will receive 12 once-weekly doses of water-dispersible rifapentine and isoniazid; the initial rifapentine dose in each age cohort will be determined based on historical population models and will be adjusted as data become available in paediatric cohorts in this study. Cohorts 1 and 2 will open up with a pre-selected modeled dose. Dose selection for cohorts 3 and 4 will be modeled from data emerging from cohorts 1 and 2 and historical data. Doses in cohorts will be adjusted as required based on interim PK and safety analyses. Isoniazid will be given at doses of up to 25 mg/kg, once weekly, in combination with pyridoxine (Vitamin B6) 25 mg/kg.
Rifapentine. Initial dose will be 25mg/kg. Based on interim analysis, this may be adjusted throughout the study to achieve target exposures. The standalone water-dispersible rifapentine tablet may be used to adjust the rifapentine doses, if needed.
Isoniazid. 25mg/kg
Desmond Tutu TB Center, University of Stellenbosch
Stellenbosch, South Africa
Rifapentine exposure among participants by median area under the curve (AUC)
Target AUC is no more than 25% lower than, and no more than 75% higher than, the target AUC of 522 mcg\*h/L. Data to be used for dose adjustments throughout the study and to create dosing algorithm for pediatric subgroups.
Time frame: 12 weeks
Number of participants with Grade 3 or 4 adverse events
Cumulative number will be reported
Time frame: 24 weeks
Proportion of participants with Grade 3 or 4 adverse events
Cumulative proportion will be reported
Time frame: 24 weeks
Number of participants who discontinue study drug due to an adverse event
Cumulative number will be reported
Time frame: 12 weeks
Proportion of participants who discontinue study drug due to an adverse event
Cumulative proportion will be reported
Time frame: 12 weeks
Estimation of rifapentine absorption rate constant (ka) from plasma drug levels
Absorption rate constant will be estimated from plasma rifapentine blood levels, using population pharmacokinetic modeling methods. Models will be controlled for between-subject variability terms such as age and weight.
Time frame: 12 weeks
Estimation of rifapentine volume of distribution (Vd) from plasma drug levels
Volume of distribution will be estimated from plasma rifapentine blood levels, using population pharmacokinetic modeling methods. Models will be controlled for between-subject variability terms such as age and weight.
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Study Type
INTERVENTIONAL
Allocation
NA
Purpose
PREVENTION
Masking
NONE
Enrollment
62
Time frame: 12 weeks
Estimation of rifapentine oral clearance (Cl/F) from plasma drug levels
Oral clearance will be estimated from plasma rifapentine blood levels, using population pharmacokinetic modeling methods. Models will be controlled for between-subject variability terms such as age and weight.
Time frame: 12 weeks
Post-hoc Bayesian prediction of rifapentine and metabolite peak concentration (Cmax)
Peak concentration will be predicted from plasma rifapentine and metabolite blood levels, using population pharmacokinetic modeling methods.
Time frame: 12 weeks
Post-hoc Bayesian prediction of rifapentine and metabolite time to peak concentration (Tmax)
Time to peak concentration will be predicted from plasma rifapentine and metabolite blood levels, using population pharmacokinetic modeling methods.
Time frame: 12 weeks
Post-hoc Bayesian prediction of rifapentine and metabolite area-under-the-curve (AUC0-24)
Area-under-the-curve will be predicted from plasma rifapentine and metabolite blood levels, using population pharmacokinetic modeling methods.
Time frame: 12 weeks
Post-hoc Bayesian prediction of rifapentine and metabolite half life (t 1/2)
Half life will be predicted from plasma rifapentine and metabolite blood levels, using population pharmacokinetic modeling methods.
Time frame: 12 weeks
Palatability scores
Using a standard validated Wong-Baker Faces tool which is a tool developed to help children communicate pain. For this outcome, the scale has been adapted to communicate like and dislike, and in-depth interviews
Time frame: 12 weeks
Acceptability scores
Using a standard validated Wong-Baker Faces tool which is a tool developed to help children communicate pain. For this outcome, the scale has been adapted to communicate like and dislike, and in-depth interviews
Time frame: 12 weeks
Incidence of tuberculosis
frequency of incident tuberculosis will be reported
Time frame: 24 weeks
Estimation of isoniazid absorption rate constant (ka) from plasma drug levels
Absorption rate constant will be estimated from plasma isoniazid blood levels, using population pharmacokinetic modeling methods. Models will be controlled for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Estimation of isoniazid volume of distribution (Vd) from plasma drug levels
Volume of distribution will be estimated from plasma isoniazid blood levels, using population pharmacokinetic modeling methods. Models will be controlled for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Estimation of isoniazid oral clearance (Cl/F) from plasma drug levels
Oral clearance will be estimated from plasma isoniazid blood levels, using population pharmacokinetic modeling methods. Models will be controlled for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Post-hoc Bayesian prediction of isoniazid peak concentration (Cmax)
Peak concentration will be predicted from plasma isoniazid blood levels, using population pharmacokinetic modeling methods, and accounting for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Post-hoc Bayesian prediction of isoniazid time to peak concentration (Tmax)
Time to peak concentration will be predicted from plasma isoniazid blood levels, using population pharmacokinetic modeling methods, and accounting for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Post-hoc Bayesian prediction of isoniazid area-under-the-curve (AUC0-24)
Area-under-the-curve will be predicted from plasma isoniazid blood levels, using population pharmacokinetic modeling methods, and accounting for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks
Post-hoc Bayesian prediction of isoniazid half life (t 1/2)
Half life will be predicted from plasma isoniazid blood levels, using population pharmacokinetic modeling methods, and accounting for N-acetyltransferase 2 (NAT2) metabolizer genotype
Time frame: 12 weeks