Population Pharmacokinetics and Dose Evaluation of Cycloserine among Patients with Multidrug-Resistant Tuberculosis under Standardized Treatment Regimens.

cycloserine dosing evaluation drug concentration thresholds minimum inhibitory concentration multidrug-resistant tuberculosis population pharmacokinetics

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:
17 05 2023
Historique:
medline: 19 5 2023
pubmed: 25 4 2023
entrez: 25 4 2023
Statut: ppublish

Résumé

Although cycloserine is a recommended drug for the treatment of multidrug-resistant tuberculosis (MDR-TB) according to World Health Organization (WHO), few studies have reported on pharmacokinetics (PK) and/or pharmacodynamics (PD) data of cycloserine in patients with standardized MDR-TB treatment. This study aimed to estimate the population PK parameters for cycloserine and to identify clinically relevant PK/PD thresholds, as well as to evaluate the current recommended dosage. Data from a large cohort with full PK curves was used to develop a population PK model. This model was used to estimate drug exposure in patients with MDR-TB from a multicentre prospective study in China. The classification and regression tree was used to identify the clinically relevant PK/PD thresholds. Probability of target attainment was analyzed to evaluate the currently recommended dosing strategy. Cycloserine was best described by a two-compartment disposition model. A percentage of time concentration above MICs (T

Identifiants

pubmed: 37097151
doi: 10.1128/aac.01700-22
pmc: PMC10190270
doi:

Substances chimiques

Cycloserine 95IK5KI84Z
Antitubercular Agents 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0170022

Déclaration de conflit d'intérêts

The authors declare no conflict of interest.

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Auteurs

Yue Zhu (Y)

Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China.

Limei Zhu (L)

Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.

Lina Davies Forsman (L)

Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Department of Medicine, Division of Infectious Diseases, Karolinska Institutet, Solna, Stockholm, Sweden.

Jakob Paues (J)

Department of Biomedical and Clinical Sciences, Linköping, University, Linköping, Sweden.
Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden.

Jim Werngren (J)

Department of Microbiology, Public Health Agency of Sweden, Stockholm, Sweden.

Katarina Niward (K)

Department of Biomedical and Clinical Sciences, Linköping, University, Linköping, Sweden.
Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden.

Thomas Schön (T)

Department of Biomedical and Clinical Sciences, Linköping, University, Linköping, Sweden.
Department of Infectious Diseases, Linköping University Hospital, Linköping, Sweden.
Department of Infectious Diseases, Kalmar County Hospital, Kalmar, Linköping University, Sweden.

Judith Bruchfeld (J)

Department of Infectious Diseases, Karolinska University Hospital, Stockholm, Sweden.
Department of Medicine, Division of Infectious Diseases, Karolinska Institutet, Solna, Stockholm, Sweden.

Haiyan Xiong (H)

Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China.

Jan-Willem Alffenaar (JW)

Faculty of Medicine and Health, School of Pharmacy, University of Sydney, Sydney, Australia.
Westmead Hospital, Sydney, Australia.
Sydney Institute for Infectious Diseases, University of Sydney, Sydney, Australia.

Yi Hu (Y)

Department of Epidemiology, School of Public Health and Key Laboratory of Public Health Safety, Fudan University, Shanghai, China.

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Classifications MeSH