Joint use of population pharmacokinetics and machine learning for prediction of valproic acid plasma concentration in elderly epileptic patients.

Journal: European journal of pharmaceutical sciences : official journal of the European Federation for Pharmaceutical Sciences
PMID:

Abstract

BACKGROUND: Valproic acid (VPA) is a commonly used broad-spectrum antiepileptic drug. For elderly epileptic patients, VPA plasma concentrations have a considerable variation. We aim to establish a prediction model via a combination of machine learning and population pharmacokinetics (PPK) for VPA plasma concentration.

Authors

  • Pan Ma
    College of Chemistry and Chemical Engineering, Central South University, Changsha, 410083, P. R. China.
  • Shenglan Shang
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Yifan Huang
    Department of Orthopedics, People's Hospital of Zhengzhou University, Henan Provincial People's Hospital, Zhengzhou, Henan, China.
  • Ruixiang Liu
    School of Intelligent Medicine, China Medical University, Shenyang, China.
  • Hongfan Yu
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China; Chongqing Key Laboratory of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China.
  • Fan Zhou
  • Mengchen Yu
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Qin Xiao
    Clinical Medical College, Yangzhou University, Yangzhou 225009, China.
  • Ying Zhang
    Department of Nephrology, Nanchong Central Hospital Affiliated to North Sichuan Medical College, Nanchong, China.
  • Qianxue Ding
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China.
  • Yuxian Nie
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China.
  • Zhibiao Wang
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China.
  • Yongchuan Chen
    School of Art, Sun Yat-Sen University, No. 135 West Xingang Road, Guangzhou 510275, China.
  • Airong Yu
    Department of Clinical Pharmacy, General Hospital of Central Theater Command, No. 627 Wuluo Street, Wuhan City, Hubei Province 430070, China. Electronic address: yarfwy@163.com.
  • Qiuling Shi
    State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing 400016, China; School of Public Health, Chongqing Medical University, Chongqing 400016, China. Electronic address: qshi@cqmu.edu.cn.