From pharmacokinetics to precision dosing: optimizing continuous infusion regimens of ciprofol for elderly patients.

ABSTRACT:

Objective

To develop and validate a population pharmacokinetic/pharmacodynamic (PK/PD) model for ciprofol in elderly surgical patients, delineating its pharmacokinetic profile and concentration-effect relationship to inform precision dosing.

Methods

Twenty patients (aged ≥65 years) undergoing elective surgery were enrolled. We performed population PK/PD analysis using nonlinear mixed-effects modeling on 386 arterial blood samples and synchronized Bispectral Index (BIS) data. A linear three-compartment model and a sigmoid Emax model described the PK and PD (BIS), respectively. Covariates (age, weight, gender, and laboratory parameters) were tested via stepwise selection. Model performance was evaluated using goodness-of-fit plots, bootstrap (n = 1,000), and prediction-corrected visual predictive checks. Dosing regimens were optimized via Monte Carlo simulation.

Results

A three-compartment model best described the PK. The center volume (V₁) was generally approximated at 2.95 L, but the peripheral volumes (V₂ and V₃) were 45.15 L and 76.79 L, respectively. The clearance (CL) was assessed at 1.01 L min^-1. Body weight and age significantly influenced CL. PD analysis showed rapid effect-site equilibration (K_e0: 1.09 min^-1), with an EC₅₀ of 233.91 ng mL^-1 and a Hill coefficient of 3.00. No covariates significantly affected PD parameters. The model exhibited sufficient fit and strong predictive efficacy. The simulation results confirmed that administering an intravenous loading dose of 0.4 mg kg^-1 over 1 min, followed by an initial continuous infusion at a rate of 0.6 mg kg^-1·h^-1 for 2 h, could stably maintain the patients' BIS values within the target range of 40-60.

Conclusion

A population PK/PD model for ciprofol in elderly patients was successfully established and validated. The model supports optimized, individualized dosing to achieve target anesthesia depth in this population.

SUBMITTER: Zhu J 

PROVIDER: S-EPMC12907304 | biostudies-literature | 2026

REPOSITORIES: biostudies-literature