儿科体外疗法的药代动力学研究:现状与未来方向

Gideon Stitt, Céline Thibault, Bruce A. Mueller, Jeffrey J. Cies, Jennifer Morris Daniel, Ayse Akcan Arikan, Kevin M. Watt
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引用次数: 0

摘要

体外生命支持(ECLS),包括体外膜肺氧合(ECMO)和持续肾脏替代疗法(CRRT),是挽救重症儿童生命的疗法。尽管如此,这些疗法的死亡率却居高不下,令人沮丧。导致死亡率的原因之一可能是由于潜在疾病、患者-回路相互作用和药物-回路相互作用等综合因素导致的药物处置改变。接受 ECMO 和/或 CRRT 治疗的儿童通常要接受 20 种或更多的药物治疗,而其中大多数药物都缺乏支持最佳剂量的数据。儿科体外和体外疗法峰会(PPETS)汇聚了 ECMO、CRRT 和其他 ECLS 模式领域的国际专家,共同讨论这些疗法的现状、传播创新支持策略、分享临床经验并促进未来合作。在此,我们总结了 PPETS 的结论,并提出了优化该人群药代动力学 (PK) 研究的途径。我们必须优先对特定药物进行深入研究,以改善 ECLS 的用药情况和患者预后。根据用药频率、用药不当可能导致的不良后果以及现有 PK 数据的缺乏,我们编制了一份优先药物清单,供今后研究之用。此外,研究人员还必须重新考虑研究设计,强调通过多中心研究和使用创新 PK 建模技术来集中资源。最后,必须简化已验证 PK 模型与临床实践的整合,以便在床旁提供最佳用药。将重点放在建议的重点药物清单和关键的方法学考虑因素上,将最大限度地扩大未来研究的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pharmacokinetic Research in Pediatric Extracorporeal Therapies: Current State and Future Directions
Extracorporeal life support (ECLS), including extracorporeal membrane oxygenation (ECMO) and continuous renal replacement therapy (CRRT), are life-saving therapies for critically ill children. Despite this, these modalities carry frustratingly high mortality rates. One driver of mortality may be altered drug disposition due to a combination of underlying illness, patient-circuit interactions, and drug-circuit interactions. Children receiving ECMO and/or CRRT routinely receive 20 or more drugs, and data supporting optimal dosing is lacking for most of these medications. The Pediatric Paracorporeal and Extracorporeal Therapies Summit (PPETS) gathered an international group of experts in the fields of ECMO, CRRT, and other ECLS modalities to discuss the current state of these therapies, disseminate innovative support strategies, share clinical experiences, and foster future collaborations. Here, we summarize the conclusions of PPETS and put forward a pathway to optimize pharmacokinetic (PK) research in this population. We must prioritize specific medications for in-depth study to improve drug use in ECLS and patient outcomes. Based on frequency of use, potential for adverse outcomes if dosed inappropriately, and lack of existing PK data, a list of high priority drugs was compiled for future research. Researchers must additionally reconsider study designs, emphasizing pooling of resources through multi-center studies and the use of innovative PK modeling techniques. Finally, the integration of validated PK models into clinical practice must be streamlined to deliver optimal medication use at the bedside. Focusing on the proposed list of highlighted medications and key methodological considerations will maximize the impact of future research.
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