Abstract
Abstract
Background
Ethambutol, a longstanding treatment for tuberculosis (TB), lacks comprehensive pharmacokinetic (PK) data, particularly regarding covariates affecting exposure and their link to treatment outcomes. Using the largest data to date from Study 31/AIDS Clinical Trials Group A5349, we aimed to characterize ethambutol PKs, identify risk factors for lower exposure, quantify relationships between exposure and efficacy and safety outcomes, and explore dosing considerations that optimize risks and benefits.
Methods
We analyzed ethambutol PK data using nonlinear mixed-effect modeling. We evaluated the contribution of ethambutol exposure to efficacy outcomes using parametric time-to-event modeling and safety outcomes using logistic regression.
Results
In 1493 participants with 3077 plasma samples, a one-compartment model with first-order elimination best described ethambutol PKs, with diabetes, higher creatinine clearance, and higher weight linked to increased clearance. Higher ethambutol exposure was modestly associated with grade 3 or higher adverse events and a reduced risk of TB-related unfavorable outcomes. Target exposures for 95% cure were 8.9 µg·h/mL in the 6-month control regimen and 25.6 µg·h/mL in the 4-month rifapentine regimen. Simulations showed that reducing doses in middle (1200 to 1000 mg) and highest (1600 to 1200 mg) weight bands could equalize median exposures, lowering toxicity risk while maintaining efficacy in the control regimen, but might not achieve target exposure in the rifapentine regimen.
Conclusions
The contribution of ethambutol exposure is regimen-dependent, with a higher efficacy target required for the 4-month rifapentine regimen. Dose reductions for patients above 55 kg may mitigate toxicity in standard therapy but risk compromising efficacy in the shorter regimen.