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心脏手术患者术后疼痛治疗中氢吗啡酮的群体药代动力学建模。

Population pharmacokinetic modeling of hydromorphone in cardiac surgery patients during postoperative pain therapy.

机构信息

From the Department of Anesthesiology, University of Erlangen-Nuremberg, Erlangen, Germany.

出版信息

Anesthesiology. 2014 Feb;120(2):378-91. doi: 10.1097/ALN.0b013e3182a76d05.

Abstract

BACKGROUND

Hydromorphone is a µ-selective opioid agonist used in postoperative pain therapy. This study aimed to evaluate the pharmacokinetics of hydromorphone in cardiac surgery patients during postoperative analgesia with target-controlled infusion and patient-controlled analgesia.

METHODS

In this study, 50 adult patients were enrolled to receive intravenous hydromorphone during postoperative pain therapy. Arterial plasma samples were collected for measurements of drug concentration. Population pharmacokinetic parameters were estimated using nonlinear mixed-effects modeling. Results were validated and simulations were carried out to evaluate results.

RESULTS

Data from 49 patients (age range, 40-81 yr) were analyzed. The pharmacokinetics of hydromorphone were best described by a three-compartment model. Age was incorporated as a significant covariate for elimination clearance and central volume of distribution. Scaling all parameters with body weight improved the model significantly. The final estimates of the model parameters for the typical adult patient (67 yr old, weighing 70 kg) undergoing cardiac surgery were as follows: CL1 = 1.01 l/min, V1 = 3.35 l, CL2 = 1.47 l/min, V2 = 13.9 l, CL3 = 1.41 l/min, and V3 = 145 l. The elimination clearance decreased by 43% between the age of 40 and 80 yr, and simulations demonstrated that context-sensitive half-time increased from 26 to 84 min in 40- and 80-yr-old subjects, respectively.

CONCLUSIONS

The final pharmacokinetic model gave a robust representation of hydromorphone pharmacokinetics. Inclusion of age and body weight to the model demonstrated a significant influence of these covariates on hydromorphone pharmacokinetics. The application of this patient-derived population model in individualized pain therapy should improve the dosing of hydromorphone in patients undergoing cardiac surgery.

摘要

背景

氢吗啡酮是一种μ-阿片受体激动剂,用于术后疼痛治疗。本研究旨在评估心脏手术患者术后接受靶控输注和患者自控镇痛时氢吗啡酮的药代动力学。

方法

本研究纳入 50 例接受静脉注射氢吗啡酮用于术后镇痛的成年患者。采集动脉血浆样本以测量药物浓度。采用非线性混合效应模型估算群体药代动力学参数。结果进行验证,并进行模拟以评估结果。

结果

分析了 49 例患者(年龄 40-81 岁)的数据。氢吗啡酮的药代动力学最好用三房室模型来描述。年龄被纳入消除清除率和中央分布容积的显著协变量。所有参数与体重相乘显著改善了模型。接受心脏手术的典型成年患者(67 岁,体重 70kg)的模型参数最终估计值如下:CL1=1.01l/min,V1=3.35l,CL2=1.47l/min,V2=13.9l,CL3=1.41l/min,V3=145l。40-80 岁之间,消除清除率下降了 43%,模拟表明 40-80 岁患者的上下文敏感半衰期分别从 26 分钟增加到 84 分钟。

结论

最终药代动力学模型对氢吗啡酮药代动力学的描述具有很强的代表性。将年龄和体重纳入模型表明这些协变量对氢吗啡酮药代动力学有显著影响。在个体化疼痛治疗中应用该患者衍生的群体模型应能改善心脏手术患者氢吗啡酮的剂量。

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