TY - JOUR T1 - Association of anti-tuberculosis drug concentrations in hair and treatment outcomes in MDR- and XDR-TB JF - ERJ Open Research JO - erjor DO - 10.1183/23120541.00046-2019 VL - 5 IS - 2 SP - 00046-2019 AU - John Metcalfe AU - Peter Bacchetti AU - Roy Gerona AU - Ali Esmail AU - Keertan Dheda AU - Monica Gandhi Y1 - 2019/04/01 UR - http://openres.ersjournals.com/content/5/2/00046-2019.abstract N2 - Anti-tuberculosis drug concentrations in hair, a non-biohazardous and noninvasively collected biomatrix, predict extensively drug-resistant-TB clinical outcomes in a high-burden setting. http://ow.ly/80xi30o8qSaTherapeutic drug monitoring for drug-resistant tuberculosis (TB) is likely to improve treatment outcomes. While assessments of plasma drug levels can explain pharmacokinetic variability among trial participants, these measures require phlebotomy and a cold chain, and are generally not repeated frequently enough to characterise drug exposure over time. Using a novel multi-analyte assay, we found evidence that higher anti-TB drug concentrations in hair, a non-biohazardous and noninvasively collected biomatrix, predict extensively-drug resistant-TB clinical outcomes in a high-burden setting. ER -