An artificial neural network prediction model for plasma concentrations of mycophenolic acid in renal transplantation recipients
- Author:
Yi-Fang YE
1
Author Information
- Publication Type:Journal Article
- Keywords: Artificial neural netword; Mycophenolic acid; Pharmacokinetics; Renal transplantation
- From: Chinese Pharmaceutical Journal 2013;48(14):1200-1203
- CountryChina
- Language:Chinese
- Abstract: OBJECTIVE: To establish an artificial neural network (ANN) for predicting mycophenolic acid (MPA) pharmacokinetics in renal transplantation recipients by limited sampling strategy. METHODS: Sixty-four Chinese renal transplantation recipients receiving mycophenolate mofetil (MMF) were investigated. Eleven serum samples were drawn on different days after transplantation. MPA plasma concentration was determined by HPLC and ANN was established after the network parameters were optimized by using momentum method combined with genetic algorithm. RESULTS: When using MPA plasma concentrations at 0, 0.5 and 2 h after MMF administration to predict MPA concentration, the mean prediction error and mean absolute prediction error were (0.39±1.24) and (0.90±0.94) μg·mL-1, respectively. There was no significant difference between the pharmacokinetic parameters obtained from the predicted MPA concentrations vs those obtained from the measured MPA concentrations. CONCLUSON: ANN can be used to predict MPA pharmacokinetics by limited sampling strategy.
