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干血斑与稀疏采样:一种实用方法,用于评估早产儿中咖啡因的药代动力学参数。

Dried blood spots and sparse sampling: a practical approach to estimating pharmacokinetic parameters of caffeine in preterm infants.

机构信息

School of Pharmacy, De Montfort University, Leicester, UK.

出版信息

Br J Clin Pharmacol. 2013 Mar;75(3):805-13. doi: 10.1111/j.1365-2125.2012.04392.x.

Abstract

AIMS

Dried blood spots (DBS) alongside micro-analytical techniques are a potential solution to the challenges of performing pharmacokinetic (PK) studies in children. However, DBS methods have received little formal evaluation in clinical settings relevant to children. The aim of the present study was to determine a PK model for caffeine using a 'DBS/microvolume platform' in preterm infants.

METHODS

DBS samples were collected prospectively from premature babies receiving caffeine for treatment of apnoea of prematurity. A non-linear mixed effects approach was used to develop a population PK model from measured DBS caffeine concentrations. Caffeine PK parameter estimates based on DBS data were then compared with plasma estimates for agreement.

RESULTS

Three hundred and thirty-eight DBS cards for caffeine measurement were collected from 67 preterm infants (birth weight 0.6-2.11 kg). 88% of cards obtained were of acceptable quality and no child had more than 10 DBS samples or more than 0.5 ml of blood taken over the study period. There was good agreement between PK parameters estimated using caffeine concentrations from DBS samples (CL = 7.3 ml h⁻¹  kg⁻¹; V = 593 ml kg⁻¹; t(½) = 57 h) and historical caffeine PK parameter estimates based on plasma samples (CL = 4.9-7.9 ml h⁻¹  kg⁻¹; V = 640-970 ml kg⁻¹; t(½) = 101-144 h). We also found that changes in blood haematocrit may significantly confound estimates of caffeine PK parameters based on DBS data.

CONCLUSIONS

This study demonstrates that DBS methods can be applied to PK studies in a vulnerable population group and are a practical alternative to wet matrix sampling techniques.

摘要

目的

干血斑(DBS)与微量分析技术相结合,是解决儿童进行药代动力学(PK)研究挑战的一种潜在方法。然而,DBS 方法在与儿童相关的临床环境中尚未得到充分评估。本研究旨在使用早产儿的“DBS/微量平台”来确定咖啡因的 PK 模型。

方法

前瞻性地从接受咖啡因治疗早产儿呼吸暂停的早产儿中采集 DBS 样本。使用非线性混合效应方法,从测量的 DBS 咖啡因浓度中建立群体 PK 模型。然后,将基于 DBS 数据的咖啡因 PK 参数估算值与血浆估算值进行比较,以确定一致性。

结果

从 67 名早产儿中采集了 338 张用于测量咖啡因的 DBS 卡(出生体重 0.6-2.11kg)。获得的卡片中有 88%质量可接受,且在研究期间,没有孩子抽取超过 10 张 DBS 样本或超过 0.5ml 的血液。从 DBS 样本中咖啡因浓度估算的 PK 参数(CL=7.3ml·h⁻¹·kg⁻¹;V=593ml·kg⁻¹;t(½)=57h)与基于血浆样本的历史咖啡因 PK 参数估算值(CL=4.9-7.9ml·h⁻¹·kg⁻¹;V=640-970ml·kg⁻¹;t(½)=101-144h)之间具有良好的一致性。我们还发现,血液红细胞压积的变化可能会显著干扰基于 DBS 数据估算的咖啡因 PK 参数。

结论

本研究表明,DBS 方法可应用于脆弱人群的 PK 研究,是替代湿基质采样技术的实用方法。

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