Prothionamide Dose Optimization Using Population Pharmacokinetics for Multidrug-Resistant Tuberculosis Patients.


Journal

Antimicrobial agents and chemotherapy
ISSN: 1098-6596
Titre abrégé: Antimicrob Agents Chemother
Pays: United States
ID NLM: 0315061

Informations de publication

Date de publication:
20 09 2022
Historique:
pubmed: 9 8 2022
medline: 24 9 2022
entrez: 8 8 2022
Statut: ppublish

Résumé

Prothionamide, a second-line drug for multidrug-resistant tuberculosis (MDR-TB), has been in use for a few decades. However, its pharmacokinetic (PK) profile remains unclear. This study aimed to develop a population PK model for prothionamide and then apply the model to determine the optimal dosing regimen for MDR-TB patients. Multiple plasma samples were collected from 27 MDR-TB patients who had been treated with prothionamide at 2 different study hospitals. Prothionamide was administered according to the weight-band dose regimen (500 mg/day for weight <50 kg and 750 mg/day for weight >50 kg) recommended by the World Health Organization. The population PK model was developed using nonlinear mixed-effects modeling. The probability of target attainment, based on systemic exposure and MIC, was used as a response target. Fixed-dose regimens (500 or 750 mg/day) were simulated to compare the efficacies of various dosing regimens. PK profiles adequately described the two-compartment model with first-order elimination and the transit absorption compartment model with allometric scaling on clearance. All dosing regimens had effectiveness >90% for MIC values <0.4 μg/mL in 1.0-log kill target. However, a fixed dose of 750 mg/day was the only regimen that achieved the target resistance suppression of ≥90% for MIC values of <0.2 μg/mL. In conclusion, fixed-dose prothionamide (750 mg/day), regardless of weight-band, was appropriate for adult MDR-TB patients with weights of 40 to 67 kg.

Identifiants

pubmed: 35938799
doi: 10.1128/aac.01893-21
pmc: PMC9487524
doi:

Substances chimiques

Antitubercular Agents 0
Prothionamide 76YOO33643

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0189321

Subventions

Organisme : NIGMS NIH HHS
ID : T32 GM007175
Pays : United States

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Auteurs

Hwi-Yeol Yun (HY)

Department of Pharmacy, College of Pharmacy, Chungnam National Universitygrid.254230.2, Daejeon, Republic of Korea.

Min Jung Chang (MJ)

Department of Pharmacy and Yonsei Institute of Pharmaceutical Sciences, Yonsei University, Incheon, Republic of Korea.
Department of Pharmaceutical Medicine and Regulatory Science, Yonsei University, Incheon, Republic of Korea.
Graduate Program of Industrial Pharmaceutical Science, Yonsei University, Incheon, Republic of Korea.

Heeyoon Jung (H)

Department of Bio-AI Convergence, Chungnam National University, Daejeon, Republic of Korea.

Vincent Chang (V)

Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.

Qianwen Wang (Q)

Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.

Natasha Strydom (N)

Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.

Young-Ran Yoon (YR)

Department of Molecular Medicine, School of Medicine, Kyungpook National University, Daegu, Republic of Korea.
Department of Clinical Pharmacology, Kyungpook National University Hospital, Daegu, Republic of Korea.

Radojka M Savic (RM)

Department of Bioengineering and Therapeutic Sciences, University of California San Francisco, San Francisco, California, USA.

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