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Medium matters: modeling the impact of solid medium performance on tuberculosis trial sample size requirements
M G Johnson1, J E Stout1, D A Benator2
1Division of Infectious Diseases and International Health, Duke University Medical Center, Durham, North Carolina, USA.
Optimizing solid medium culture conversion tests can significantly reduce the required sample size for tuberculosis clinical trials. Improving test sensitivity and lowering contamination rates enhance trial efficiency.
Area of Science:
- Clinical microbiology
- Infectious disease research
- Biostatistics
Background:
- Two-month solid medium culture conversion is a standard endpoint in phase 2 anti-tuberculosis treatment trials.
- Current methods are suboptimal, potentially impacting trial efficiency and sample size requirements.
Purpose of the Study:
- To model how solid medium performance characteristics affect sample size in tuberculosis clinical trials.
- To quantify the impact of sensitivity and contamination rates on required participants for a two-arm study.
Main Methods:
- A simulation model was used to assess sample size.
- The model incorporated varying levels of solid medium sensitivity and contamination rates.
- Target culture conversion rates were set at 85% for the control arm and 95% for the experimental arm.
Main Results:
- Reducing contamination from 30% to 1% and increasing sensitivity from 60% to 95% decreased sample size per arm from 239 to 138.
- Higher sensitivity and lower contamination rates directly correlate with reduced sample size needs.
Conclusions:
- Optimizing solid medium performance is crucial for tuberculosis clinical trials.
- Improvements can lead to substantial reductions in sample size, increasing overall trial efficiency and potentially reducing costs.
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