New Tools Support Developing Better TB Drugs

I. Gardner & O. Hatley

Tuberculosis (TB)—caused by infection with the mycobacterium Mycobacterium tuberculosis—is one of the top 10 leading causes of death worldwide with a total of 1.8 million people dying from the disease in 2015. TB is also the leading cause of death in HIV-infected individuals. TB usually attacks the lungs but can infect any part of the […]

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Topics: PBPK Modeling & Simulation

A Clearer Crystal Ball: A Meta-regression Model Predicts TB Relapse

David Hermann

What would you guess is the world’s most neglected disease? I bet that you wouldn’t pick tuberculosis (TB)— a disease that causes an estimated 9 million new cases and 1.3 million deaths annually. This infectious disease is caused by the bacterium Mycobacterium tuberculosis. TB usually attacks the lungs, but can attack any part of the body.

Patients infected with TB are typically treated with a standard six-month course of multiple antimicrobial drugs. It is quite difficult to get patients to adhere to this long course of treatment. Often, patients will fail to complete the entire drug course. This increases the likelihood of relapse and antibiotic resistance developing. Thus, there is an urgent need for shorter treatment regimens that minimize the risk of relapse. In this blog post, I’ll discuss how meta-regression modeling of relapse can inform TB clinical trial design.

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Topics: Uncategorized
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