Latent Tuberculosis Clinical Trial
Official title:
Phase I/II Dose Finding and Safety Study of Rifapentine and Isoniazid in HIV-Infected and HIV-Uninfected Children With Latent Tuberculosis Infection
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.
Status | Recruiting |
Enrollment | 72 |
Est. completion date | December 2024 |
Est. primary completion date | July 2024 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 0 Years to 12 Years |
Eligibility | Inclusion Criteria: 1. Aged 0 - 12 years 2. Documented close (household or other close exposure) for at least an average 4 hours a day over the past 6 months to a bacteriologically confirmed adult (18 years or older) source case with pulmonary TB. The adult TB source case should have confirmed drug sensitive (sputum culture confirmed or XPERT MTB/Rif [Cepheid] positive TB and without any evidence of drug resistance, i.e., at least XPERT MTB/Rif rifampicin susceptible or an alternative molecular or phenotypic test indicating rifampicin susceptible M. tb) OR: 3. Evidence of M. tb infection (positive TST = 10 mm in HIV-uninfected and TST = 5 mm in HIV-infected participants or a positive commercial interferon-gamma release assay, as defined by the manufacturer) 4. Confirmed HIV status: HIV status will be confirmed by DNA PCR and Plasma HIV-RNA if the participant is <18 months of age. In participants =18 month of age HIV-ELISA testing will be completed. If any HIV test is positive in a child participant, regardless of age, the test result needs to be confirmed with a second HIV test, using HIV DNA or RNA PCR, from an independent sample. 5. HIV-infected participants should be on an ART regimen for at least 12 weeks prior to enrolment and should be clinically stable before entering the study, regardless of CD 4 count and HIV viral load. While on study, participants must be on an efavirenz- or raltegravir-based ART regimen which should have been given for at least 14 days prior to enrolment. 6. Caregiver (parent or legal guardian) gives written informed consent and assent from the child where applicable 7. Weight > 2.5 kg but < 40 kg Exclusion Criteria: 1. Active TB disease (evidenced by: symptoms suggestive of TB, or suggestive findings on clinical examination, or suggestive chest radiographic findings, or positive mycobacterial culture/molecular TB tests -if culture/molecular testing was clinically indicated and was completed-, or currently on TB treatment for active disease). 2. Any documented drug resistant TB (DR TB) in an identified adult source case, defined as rifampicin resistance on Xpert or any other relevant approved molecular test, or phenotypic evidence of rifampicin resistance. 3. Receipt of a once-daily isoniazid regimen for > 30 days which was given for at least 14 consecutive days in the 30 days prior to enrolment. 4. Hb < 10 mg/dl 5. Weight for age z score below 2 or severe clinical malnutrition 6. Known allergy or hypersensitivity to isoniazid or rifapentine 7. Documented hepatic disorder including > 5 fold elevated upper limit of normal (ULN) ALT and/or bilirubin 8. Lansky play score < 50 9. Documentation of Hepatitis A or B infection 10. Female adolescents who have reached menarche will not be eligible. |
Country | Name | City | State |
---|---|---|---|
South Africa | Desmond Tutu TB Center, University of Stellenbosch | Stellenbosch |
Lead Sponsor | Collaborator |
---|---|
Centers for Disease Control and Prevention | Chris Hani Baragwanath Academic Hospital, Johns Hopkins University, Sanofi, University of Cape Town, University of Stellenbosch, Washington D.C. Veterans Affairs Medical Center |
South Africa,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | 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. | 12 weeks | |
Secondary | Number of participants with Grade 3 or 4 adverse events | Cumulative number will be reported | 24 weeks | |
Secondary | Proportion of participants with Grade 3 or 4 adverse events | Cumulative proportion will be reported | 24 weeks | |
Secondary | Number of participants who discontinue study drug due to an adverse event | Cumulative number will be reported | 12 weeks | |
Secondary | Proportion of participants who discontinue study drug due to an adverse event | Cumulative proportion will be reported | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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. | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | Incidence of tuberculosis | frequency of incident tuberculosis will be reported | 24 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks | |
Secondary | 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 | 12 weeks |
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