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The investigators hypothesise that high dose RIF (RIF35) will increase pericardial fluid RIF exposure and so enhance mycobacterial clearance, compared to standard of care dosing (RIF10).
This Phase 2b randomized, placebo-controlled, double-blinded trial will evaluate the efficacy and safety of RIF 35mg/kg compared 10mg/kg, added to standard first-line ATT, for the treatment of PCTB.
IMPI-3 - A Randomized Controlled Trial of High vs. Standard Dose Rifampicin for Effusive Tuberculous Pericarditis
Phase 2b Randomized, placebo-controlled, double-blinded clinical trial
The trial will enroll 100 adult participants with pericardial TB from two research sites in South Africa, with no exclusions being made on the basis of sex/gender, racial or ethnic group.
Consenting participants will be stratified by HIV status and PCF GX-Ultra status, then randomized 1:1 to receive either standard of care anti-tuberculosis treatment (ATT) or standard of care plus high dose Rifampicin (RIF), both administered orally for 2 months, followed by a continuation phase of 4 months' RH at standard doses.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Arm 1: Standard of care (RIF10) | No Intervention | Dosing of the daily oral RHZE fixed dose combination (FDC) will be according to WHO weight bands | |
| Arm 2: High-dose RIF (RIF35) | Experimental | Simulations were performed to determine the dose of RIF required to achieve the most equitable drug exposures across the weight range, 30 to 100 kg. Demographic data of a reference cohort of TB patients (n = 1225), with or without HIV-1 coinfection, recruited in clinical trials conducted in West Africa and South Africa were used for the simulations35-38. An additional 12 250 virtual patients were generated using the weight and height distributions of the 1225 patients to increase the number of patients with a weight close to the boundaries of the weight range. Parameter estimates of the population PK model for RIF were used to simulate (100 replicates) RIF exposures22. Four dosing scenarios were evaluated using the weight-band based dosing with 4-drug FDC tablets and extra RIF tablets with each tablet containing 150 mg or 600 mg RIF. The FDC tablets were assumed to have 20% reduced bioavailability based on data from a clinical trial where the same formulation was used39 |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| high dose Rifampicin (RIF) | Drug | Simulations were performed to determine the dose of RIF required to achieve the most equitable drug exposures across the weight range, 30 to 100 kg. Demographic data of a reference cohort of TB patients (n = 1225), with or without HIV-1 coinfection, recruited in clinical trials conducted in West Africa and South Africa were used for the simulations35-38. An additional 12 250 virtual patients were generated using the weight and height distributions of the 1225 patients to increase the number of patients with a weight close to the boundaries of the weight range. Parameter estimates of the population PK model for RIF were used to simulate (100 replicates) RIF exposures22. Four dosing scenarios were evaluated using the weight-band based dosing with 4-drug FDC tablets and extra RIF tablets with each tablet containing 150 mg or 600 mg RIF. The FDC tablets were assumed to have 20% reduced bioavailability based on data from a clinical trial where the same formulation was used |
| Measure | Description | Time Frame |
|---|---|---|
| Drug exposure in PCF and mediates in Mtb load | To determine whether higher dose rifampicin (35mg/kg) increases pericardial fluid (AUC) RIF levels and increases time to positivity of mycobacterial culture at 72 hours compared to standard dose Rifampicin | 72 hours and 52 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| Mortality between study arms | To investigate clinical outcome by mortality (attributable to PCTB and all cause) | week 8 and 52 weeks |
| re-accumulation of pericardial effusion between study arms |
| Measure | Description | Time Frame |
|---|---|---|
| To investigate the safety and tolerability of RIF35 for PCTB by: |
| week 8 and 52 weeks |
| Discontinuation rate |
Inclusion Criteria:
Aged >18 years
Suspected PCTB with confirmed pericardial effusion on echocardiography (i.e., echo free space of ≥1 cm anterior to the right ventricle in diastole)
Consent to study participation including testing for HIV-1 (if HIV status is unknown)
Microbiologically detected Mtb in PCF or diagnosis of probable PCTB. Probable PCTB (in the absence of a positive pericardial fluid culture) will be defined as per Mayosi et al.4:
Participant will undergo pericardiocentesis (as per clinical indication)
Within 5 days of ATT initiation
Exclusion Criteria:
Additional Exclusions for Gadolinium contrasted CMR
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Mpumi U Maxebengula, BCom | Contact | 0727633386 | mpumi.maxebengula@uct.ac.za | |
| Kishal Maxebengula, Dr | Contact | +27732515380 | +27732515380 | kishal.lukhna@uct.ac.za |
| Name | Affiliation | Role |
|---|---|---|
| Mpiko U Ntsekhe, Professor | Department of Cardiology, Groote Schuur Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Nelson Mandela Academic Hospital | Not yet recruiting | Mthatha | Eastern Cape | 5099 | South Africa |
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| ID | Term |
|---|---|
| D010495 | Pericarditis, Tuberculous |
| ID | Term |
|---|---|
| D014381 | Tuberculosis, Cardiovascular |
| D000092225 | Tuberculosis, Extrapulmonary |
| D014376 | Tuberculosis |
| D009164 | Mycobacterium Infections |
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| ID | Term |
|---|---|
| D012293 | Rifampin |
| ID | Term |
|---|---|
| D012294 | Rifamycins |
| D006576 | Heterocyclic Compounds, 4 or More Rings |
| D000072471 | Heterocyclic Compounds, Fused-Ring |
| D006571 | Heterocyclic Compounds |
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Participant identification numbers (PID), assigned at the screening visit, will be used throughout the study. After signing the informed consent document; eligible participants will be stratified by HIV status and then further stratified by GX-Ultra status to ensure equal allocation regardless of HIV status and likely subsequent culture status.
An electronic randomization tool will be used to randomize the subgroups in a 1:1 ratio. The randomization list will be generated and updated by the study coordinator, trial pharmacist, or statistician who will have no direct contact with trial participants or involvement with the assessment for eligibility in the trial.
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Neither participants nor the investigators will be aware of the participant's treatment allocation until the end of the study (double blinding). Blinding will be maintained by manufacture of placebo tablets similar in appearance and packaging to that of the study drug, with centralized dispensing by the study pharmacist. Unmasking procedures are detailed by SOP.
|
To investigate clinical outcome by comparing clinical evidence of constrictive pericarditis between study arms
| 52 weeks |
| TB-IRIS between study arms | To investigate clinical outcome by comparison of the incidence of TB immune reconstitution inflammatory syndrome (TB-IRIS) between study arms | 52 weeks |
| Constrictive pericarditis between the study arms | Comparison of the incidence of constrictive pericarditis between the study arms | 52 weeks |
| CMR evidence | To investigate clinical outcome by evidence on week 52 CMR of:
| 52 weeks |
Comparison of discontinuation rates between study arms Comparison of discontinuation rates between study arms
| 52 weeks |
| Change in Mtb bacterial load | To investigate early change in Mtb bacterial load by measures other than culture TTP (CFU, Xpert ct values, ddPCR, CEQ, Mtb RNA, FujiLAM) in PCF over 72 hours by treatment allocation | 72 hours |
| Relationships between pericardial Mtb-specific T cells with Mtb bacterial load | To determine relationships between pericardial Mtb-specific T cells with Mtb bacterial load, treatment response and outcome in PCTB | 52 weeks |
| Mtb-induced markers of host cell death pathways and Mtb bacterial load in PCTB | To assess whether there is association between Mtb-induced markers of host cell death pathways and Mtb bacterial load in PCTB | 52 weeks |
| Groote Schuur Hospital | Recruiting | Cape Town | Western Cape | 7925 | South Africa |
|
| D000193 | Actinomycetales Infections |
| D016908 | Gram-Positive Bacterial Infections |
| D001424 | Bacterial Infections |
| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
| D053821 | Cardiovascular Infections |
| D002318 | Cardiovascular Diseases |
| D010493 | Pericarditis |
| D006331 | Heart Diseases |
| D047029 | Lactams, Macrocyclic |
| D047028 | Macrocyclic Compounds |
| D011083 | Polycyclic Compounds |