
Computer Model Predictions Support New Multidrug-resistant TB Treatment Regimen
An alternative antibiotic treatment regimen for multidrug-resistant tuberculosis (TB) endorsed by WHO shows promising effects in a new study using computer modeling.
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In the new study, the researchers developed a computer model to predict the epidemiological impact of the new MDR-TB regimen, simulating the use of the short-course regimen in a Southeast Asia setting. The team also investigated how the success of the new drug protocol could be affected by certain conditions, including lasting effectiveness, the emergence of additional drug resistance, as well as how the savings in cost could be applied to increase access to treatment. The computer simulation predicted that over the course of 8 years, the new regimen would cause a 23% reduction in the incidence of MDR-TB overall, higher than the 14% reduction brought on by conventional treatment. When the model was set so that the regimen affected only the effectiveness of the treatment, incidence of TB fell by 14%. Incidence fell by 11% when the regimen only affected treatment availability.
The study’s findings depended on the assumption that 10% or less of potential patients would be excluded from treatment due to additional drug resistance, and that with the new regimen more patients with MDR-TB would be treated. “Several important factors are still uncertain, but if we can keep the number of excluded patients down to around 10 percent, if treatment of the other 90 percent of patients is as successful as preliminary studies suggest and if cost savings from the shorter regimen allow more patients to be treated, then this regimen is likely to have a really big impact,” said Dr. Kendall.
WHO's recommendation for the short-course MDR-TB treatment came after preliminary studies conducted in Southeast Asia as well as in Western and Central Africa, areas hit hard by these drug-resistant infections, showed positive results. However, researchers have yet to conduct large-scale clinical trials proving the regimen’s safety and efficacy. “Our computer tool can help guide certain decisions about the short regimen,” said Dr. Kendall, “but scientists and health care workers still need to be really vigilant about gathering more data on how it’s working and for whom it is working best as we begin to use it more widely.”
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