Population Pharmacokinetics and Dose Evaluation of Cycloserine among Patients with Multidrug-Resistant Tuberculosis under Standardized Treatment Regimens.
Yue ZhuLimei ZhuLina Davies ForsmanJakob PauesJim WerngrenKatarina NiwardThomas SchönJudith BruchfeldHaiyan XiongJan Willem C AlffenaarYi HuPublished in: Antimicrobial agents and chemotherapy (2023)
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 >MIC ) of 30% and a ratio of area under drug concentration-time curve (AUC 0-24h ) over MIC of 36 were the valid predictors for 6-month sputum culture conversion and final treatment outcome. Simulations showed that with WHO-recommended doses (500 mg and 750 mg for patients weighing <45 kg and ≥45 kg), the probability of target attainment exceeded 90% at MIC ≤16 mg/L in MGIT for both T >MIC of 30% and AUC 0-24h /MIC of 36. New clinically relevant PK/PD thresholds for cycloserine were identified in patients with standardized MDR-TB treatment. WHO-recommended doses were considered adequate for the MGIT MIC distribution in our cohort of Chinese patients with MDR-TB.
Keyphrases
- multidrug resistant
- mycobacterium tuberculosis
- drug resistant
- acinetobacter baumannii
- randomized controlled trial
- emergency department
- combination therapy
- study protocol
- clinical trial
- pseudomonas aeruginosa
- end stage renal disease
- molecular dynamics
- replacement therapy
- antiretroviral therapy
- peritoneal dialysis
- deep learning
- case control
- cross sectional