Open AccessPrediction of Tacrolimus Dose/Weight-Adjusted Trough Concentration in Pediatric Refractory Nephrotic Syndrome: A Machine Learning Approach
Author(s) -
Xiaolan Mo,
Xiujuan Chen,
Xianggui Wang,
Xiaoli Zhong,
Huiying Liang,
Yiran Wei,
Haiyi Deng,
Rong Hu,
Tao Zhang,
Yilu Chen,
Xia Gao,
Min Huang,
Jiali Li
Publication year - 2022
Publication title -
pharmacogenomics and personalized medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.845
H-Index - 28
ISSN - 1178-7066
DOI - 10.2147/pgpm.s339318
Subject(s) - medicine , refractory (planetary science) , cyp3a5 , single nucleotide polymorphism , cohort , trough level , tacrolimus , gastroenterology , genotype , transplantation , genetics , physics , astrobiology , biology , gene
Tacrolimus (TAC) is a first-line immunosuppressant for patients with refractory nephrotic syndrome (NS). However, there is a high inter-patient variability of TAC pharmacokinetics, thus therapeutic drug monitoring (TDM) is required. In this study, we aimed to employ machine learning algorithms to investigate the impact of clinical and genetic variables on the TAC dose/weight-adjusted trough concentration (C 0 /D) in Chinese children with refractory NS, and then develop and validate the TAC C 0 /D prediction models.