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地高辛在日本新生儿中的群体药代动力学研究。

Population pharmacokinetic investigation of digoxin in Japanese neonates.

作者信息

Yukawa E, Akiyama K, Suematsu F, Yukawa M, Minemoto M

机构信息

Laboratory of Evidence-based Pharmacotherapy, College of Pharmaceutical Sciences, Daiichi University, Minami-Ku, Fukuoka, Japan.

出版信息

J Clin Pharm Ther. 2007 Aug;32(4):381-6. doi: 10.1111/j.1365-2710.2007.00833.x.

Abstract

OBJECTIVE

To establish the role of patient characteristics in estimating doses of digoxin for neonates using routine therapeutic drug monitoring data.

METHOD

The steady-state blood level data (n = 129) after repetitive oral administration in 71 hospitalized neonates were analysed using Nonlinear Mixed Effects Modelling (nonmem), a computer program designed for analysing drug pharmacokinetics in study populations through pooling of data. Analysis of the pharmacokinetics of digoxin was accomplished using a one-compartment open pharmacokinetic model. The effect of a variety of developmental and demographic factors on digoxin disposition was investigated.

RESULTS

Estimates generated by nonmem indicated that the clearance of digoxin (CL/F; L/h) was influenced by the demographic variables: total body weight (TBW), gestational age (GA) and neonate clearance factor (trough serum concentration of digoxin; Conc). These influences could be modelled by the equation CL/F = 0.0261 x TBW (kg)0.645 x Conc (ng/mL)(-0.724) x GA (weeks)0.8. The interindividual variability in digoxin clearance was modelled with proportional errors. The estimated coefficient of variation was 7.0%, and the residual variability was 13.1%.

CONCLUSION

Clinical application of the model to patient care may permit selection of an appropriate initial maintenance dose, thus enabling the clinician to achieve the desired therapeutic effect. However, the digoxin dosage regimen for the individual patient should be based on a careful appraisal of their clinical need for the drug.

摘要

目的

利用常规治疗药物监测数据确定患者特征在估算新生儿地高辛剂量中的作用。

方法

使用非线性混合效应模型(nonmem)分析71例住院新生儿重复口服给药后的稳态血药浓度数据(n = 129),nonmem是一个通过汇集数据来分析研究人群中药物药代动力学的计算机程序。地高辛的药代动力学分析采用一室开放药代动力学模型。研究了各种发育和人口统计学因素对地高辛处置的影响。

结果

nonmem生成的估计值表明,地高辛清除率(CL/F;L/h)受人口统计学变量影响:总体重(TBW)、胎龄(GA)和新生儿清除因子(地高辛谷浓度;Conc)。这些影响可用方程CL/F = 0.0261×TBW(kg)0.645×Conc(ng/mL)(-0.724)×GA(周)0.8来模拟。地高辛清除率的个体间变异性采用比例误差进行模拟。估计变异系数为7.0%,残余变异性为13.1%。

结论

该模型在患者护理中的临床应用可能有助于选择合适的初始维持剂量,从而使临床医生能够达到预期的治疗效果。然而,个体患者的地高辛给药方案应基于对其临床用药需求的仔细评估。

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