肝移植患者他克莫司个体化给药研究

中国临床药理学与治疗学 ›› 2012, Vol. 17 ›› Issue (7): 791-796.

肝移植患者他克莫司个体化给药研究

韦炳华, 叶毅芳, 罗美娟, 洪晓丹, 李碧虹, 容颖慈, 任斌

中山大学附属第一医院,广州 510080,广东

收稿日期:2012-02-08 修回日期:2012-04-14 发布日期:2012-07-17
通讯作者: 任斌,男,硕士,副主任药师,硕士研究生导师,研究方向:临床药学及临床药动学。Tel: 13710362040 E-mail: renbinsys@sina.com
作者简介:韦炳华,女,本科,主管药师,研究方向:临床药动学。Tel: 13660019657 E-mail: 13660019657@163.com

Study on individual administration of tacrolimus in liver transplantation recipients

WEI Bing-hua, YE Yi-fang, LUO Mei-juan, HONG Xiao-dan, LI Bi-hong, RONG Ying-ci, REN Bin

The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, Guangdong, China

Received:2012-02-08 Revised:2012-04-14 Published:2012-07-17

摘要/Abstract

摘要： 目的: 建立人工神经网络用于估算他克莫司血药浓度。 方法: 收集26例肝移植患者口服他克莫司的94份全血浓度数据,采用遗传算法配合动量法优化网络参数,建立人工神经网络。 结果: 人工神经网络平均预测误差(MPE)与平均绝对预测误差(MAE)分别为(-0.11±2.81) ng/mL 和(2.14±1.72) ng/mL,78.6%血药浓度数据绝对预测误差≤3.0 ng/mL。多元线性回归MPE与MAE分别为(0.56±2.70) ng/mL 和(2.15±1.63) ng/mL,9例次(9/14,64.3%)绝对预测误差≤3.0 ng/mL。人工神经网络准确性及精密度优于多元线性回归。 结论: 人工神经网络预测可用于预测他克莫司血药浓度,指导个体化给药。

关键词: 他克莫司, 肝移植, 人工神经网络

Abstract: AIM: To establish a prediction method for tacrolimus concentration in liver transplantation recipients by artificial intelligence. METHODS: 94 tacrolimus concentration samples from 26 Chinese liver transplantation recipients were collected. Artificial neural network (ANN) was established after network parameters were optimized by using momentum method combined with genetic algorithm. Furthermore, the performance of ANN was compared with that of multiple linear regression (MLR). RESULTS: With ANN method,the levels of mean prediction error(MPE) and mean absolute prediction error(MAE) were(-0.11±2.81) ng/mL and(2.14±1.72) ng/mL, respectively. The absolute prediction error of 78.6% of testing data sets was less than 3.0 ng/mL. The levels of MPE and MAE were(0.56±2.70) ng/mL and(2.15±1.63) ng/mL respectively, with MLR method. The absolute prediction error of 64.3% of testing data sets was less than 3.0 ng/mL.Accuracy and precision of ANN was superior to that of MLR. CONCLUSION: ANN is suitable to predict tacrolimus concentration.

Key words: Tacrolimus, Liver transplantation, Artificial neural network

中图分类号:

R969

韦炳华, 叶毅芳, 罗美娟, 洪晓丹, 李碧虹, 容颖慈, 任斌. 肝移植患者他克莫司个体化给药研究[J]. 中国临床药理学与治疗学, 2012, 17(7): 791-796.

WEI Bing-hua, YE Yi-fang, LUO Mei-juan, HONG Xiao-dan, LI Bi-hong, RONG Ying-ci, REN Bin. Study on individual administration of tacrolimus in liver transplantation recipients[J]. Chinese Journal of Clinical Pharmacology and Therapeutics, 2012, 17(7): 791-796.

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