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药代动力学模型指导新生儿重症监护室依诺肝素给药:为前瞻性可行性试验而进行的回顾性队列研究。

Pharmacokinetic model-guided enoxaparin dosing in the Neonatal ICU: Retrospective cohort study to plan for prospective feasibility trial.

机构信息

Pumas-AI, Inc, Dover, Delaware, USA.

Division of Clinical Pharmacology & Toxicology, The Hospital for Sick Children, Toronto, Ontario, Canada.

出版信息

Clin Transl Sci. 2024 Oct;17(10):e70040. doi: 10.1111/cts.70040.

DOI:10.1111/cts.70040
PMID:39351867
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11443318/
Abstract

Traditional milligram per kilogram (mg/kg) dosing of enoxaparin in neonates frequently fails to achieve target anti-Xa levels promptly, necessitating repeated laboratory monitoring and dose adjustments. This study investigated whether a personalized dosing strategy based on predicted individual clearance and volume of distribution could improve outcomes, comparing standard-of-care (SOC) mg/kg dosing to pharmacokinetic (PK) model-informed precision dosing (MIPD). A retrospective analysis was conducted on hospitalized neonates treated with enoxaparin at less than 44 weeks postmenstrual age from 2019 to 2022. Data on demographics, drug dosing, PK model covariates, and clinical outcomes were extracted from electronic health records and analyzed using the Pumas-AI Lyv dosing tool. The primary focus was on comparing the initial SOC dose to the MIPD-recommended dose. The secondary outcome measured was the time required to achieve therapeutic anti-Xa levels. The study included 168 neonates with a median postnatal age of 15 days (range 1-149) and a median dosing weight of 3.1 kg (range: 0.82-5.2). MIPD-recommended initial doses were 20%-60% higher than SOC doses in 32% of the cases and over 60% higher in 11% of cases. Neonates who received SOC doses that were much lower than the MIPD recommendation showed the longest delays in reaching therapeutic anti-Xa levels. The results indicate that PK model-informed of enoxaparin dosing leads to higher initial dosages than SOC in neonates, potentially reducing the time to therapeutic anti-Xa levels. These findings are being utilized to define dosing limits for a prospective trial of MIPD in neonatal intensive care settings.

摘要

传统的新生儿依毫克/每公斤体重(mg/kg)给予依诺肝素,往往无法迅速达到目标抗-Xa 水平,需要反复进行实验室监测和剂量调整。本研究旨在探讨基于预测的个体清除率和分布容积的个体化给药策略是否可以改善结局,将标准治疗(SOC)mg/kg 剂量与基于药代动力学(PK)模型的精准给药(MIPD)进行比较。对 2019 年至 2022 年期间,胎龄不足 44 周的住院新生儿进行了回顾性分析,这些新生儿接受了依诺肝素治疗。从电子病历中提取人口统计学数据、药物剂量、PK 模型协变量和临床结局数据,并使用 Pumas-AI Lyv 给药工具进行分析。主要关注点是比较初始 SOC 剂量与 MIPD 推荐剂量。次要结局是达到治疗性抗-Xa 水平所需的时间。该研究纳入了 168 名新生儿,其平均出生后年龄为 15 天(范围 1-149),平均用药体重为 3.1kg(范围:0.82-5.2)。在 32%的病例中,MIPD 推荐的初始剂量比 SOC 剂量高 20%-60%,在 11%的病例中,初始剂量比 SOC 剂量高 60%以上。接受 SOC 剂量远低于 MIPD 建议剂量的新生儿,达到治疗性抗-Xa 水平的时间最长。结果表明,PK 模型指导的依诺肝素给药导致新生儿的初始剂量高于 SOC,可能缩短达到治疗性抗-Xa 水平的时间。这些发现正在用于定义前瞻性新生儿重症监护室 MIPD 试验的给药限制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/11443318/1ab88dff6780/CTS-17-e70040-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/11443318/1ab88dff6780/CTS-17-e70040-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be48/11443318/1ab88dff6780/CTS-17-e70040-g001.jpg

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本文引用的文献

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CPT Pharmacometrics Syst Pharmacol. 2023 Jan;12(1):110-121. doi: 10.1002/psp4.12881. Epub 2022 Nov 16.
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External qualification of the Web-Accessible Population Pharmacokinetic Service-Hemophilia (WAPPS-Hemo) models for octocog alfa using real patient data.使用真实患者数据对用于奥曲泊帕的网络可及群体药代动力学服务-血友病(WAPPS-Hemo)模型进行外部验证。
Res Pract Thromb Haemost. 2021 Nov 2;5(7):e12599. doi: 10.1002/rth2.12599. eCollection 2021 Oct.
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Outcomes of Catheter-Related Arterial and Venous Thrombosis After Enoxaparin Therapy in Neonates and Infants With Congenital Heart Disease.
先天性心脏病新生儿和婴儿接受依诺肝素治疗后导管相关动静脉血栓形成的结局
Pediatr Crit Care Med. 2021 Dec 1;22(12):1042-1049. doi: 10.1097/PCC.0000000000002831.
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Medication Use in the Neonatal Intensive Care Unit and Changes from 2010 to 2018.新生儿重症监护病房的药物使用情况及 2010 年至 2018 年的变化。
J Pediatr. 2022 Jan;240:66-71.e4. doi: 10.1016/j.jpeds.2021.08.075. Epub 2021 Sep 2.
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Understanding the Role of Pharmacometrics-Based Clinical Decision Support Systems in Pediatric Patient Management: A Case Study Using Lyv Software.理解基于药代动力学的临床决策支持系统在儿科患者管理中的作用:以 Lyv 软件为例的案例研究。
J Clin Pharmacol. 2021 Jun;61 Suppl 1:S125-S132. doi: 10.1002/jcph.1892.
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J Clin Pharmacol. 2021 Jun;61 Suppl 1(Suppl 1):S152-S160. doi: 10.1002/jcph.1827.
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