Publications
Product
| 지원과제 | cPMTb |
| 저자명 | Jayanti RP, Long NP, Phat NK, Cho YS, Shin JG |
| 학회정보 | Pharmaceutics. 14(5):990 / 2022.05 |
| 제 목 | Semi-Automated Therapeutic Drug Monitoring as a Pillar toward Personalized Medicine for Tuberculosis Management |
| LINK | www.ncbi.nlm.nih.gov/pubmed/35631576/ |
| 게시일 | 2025-03-28 15:39:34 |
| 년도 | |
| 내용 | 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.
Keywords: clinical decision support system; model-informed precision dosing; personalized medicine; therapeutic drug monitoring; tuberculosis. |
