Patient adherence is very challenging and drug metabolism can vary person to person so objective measurement of drug levels may prove to be important in preventing the emergence of resistance during TB treatment. If adherence could be more accurat
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Current methods of analyzing patients’ adherence to complex drug resistant-tuberculosis (DR-TB) regimens can be inaccurate and resource-intensive. Our method analyzes hair, an easily collected and stored matrix, for concentrations of 11 DR-TB medications. Using LC-MS/MS, we can determine sub-nanogram drug levels that can be utilized to better understand drug adherence.