Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management

Autor: Rannissa Puspita Jayanti, Nguyen Phuoc Long, Nguyen Ky Phat, Yong-Soon Cho, Jae-Gook Shin
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Pharmaceutics, Vol 14, Iss 5, p 990 (2022)
Druh dokumentu: article
ISSN: 1999-4923
DOI: 10.3390/pharmaceutics14050990
Popis: Standard tuberculosis (TB) management has failed to control the growing number of drug-resistant TB cases worldwide. Therefore, innovative approaches are required to eradicate TB. Model-informed precision dosing and therapeutic drug monitoring (TDM) have become promising tools for adjusting anti-TB drug doses corresponding with individual pharmacokinetic profiles. These are crucial to improving the treatment outcome of the patients, particularly for those with complex comorbidity and a high risk of treatment failure. Despite the actual benefits of TDM at the bedside, conventional TDM encounters several hurdles related to laborious, time-consuming, and costly processes. Herein, we review the current practice of TDM and discuss the main obstacles that impede it from successful clinical implementation. Moreover, we propose a semi-automated TDM approach to further enhance precision medicine for TB management.
Databáze: Directory of Open Access Journals