万古霉素靶控输注药动学模型的外部验证。

IF 4.7 2区 医学 Q1 CHEMISTRY, MEDICINAL
Drug Design, Development and Therapy Pub Date : 2025-03-24 eCollection Date: 2025-01-01 DOI:10.2147/DDDT.S507377
Jung-Min Yi, Kyung Mi Kim, Hak-Jae Lee, Suk-Kyung Hong, Byung-Moon Choi
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引用次数: 0

摘要

目的:靶向控制输注(TCI)可为万古霉素给药提供一种适合患者的方法。本研究旨在从外部评估之前构建的万古霉素药代动力学模型(Choi 模型)的预测性能,该模型专门针对万古霉素的 TCI 给药进行了优化,与现有模型有所不同,并评估在临床实践中通过 TCI 给药万古霉素的可行性。此外,还探索性地比较了 TCI 和间歇输注(标准)万古霉素给药方法的临床效果:临床病人按 1:1 的比例随机分配到 TCI 组或标准组。在 TCI 组,万古霉素采用 Choi 模型给药,初始浓度为 25 毫克/升,然后进行调整以维持治疗水平(20-30 毫克/升)。标准组的负荷剂量为 25 毫克/千克,然后每 12 小时 15 毫克/千克。分析所用的万古霉素浓度来自每位患者在设定时间采集的三份血样以及常规治疗药物监测数据。预测性能使用四个参数进行评估:不准确度、偏差、偏倚和摇摆。研究还调查了万古霉素治疗期间和治疗后 7 天内急性肾损伤(AKI)的发生情况:由于受试者注册困难,研究提前结束(TCI:12 人,标准:13 人)。对 TCI 组的 37 次血清浓度测量结果进行了分析。汇总的偏倚和不准确中位数(95% 置信区间)分别为-2.7(-7.3 至 1.9)和 17.0(13.9 至 20.2)。在这项探索性分析中,各组(TCI:n=0,标准:n=1)的AKI发生率相似,但由于未达到计划样本量,因此在解释这些结果时应谨慎:结论:TCI 系统与 Choi 模型相结合的预测性能适合临床使用。应进一步开展大样本研究,以确定通过 TCI 方法使用万古霉素的临床有效性:本研究已于2019年1月31日在韩国国立卫生研究院临床研究信息服务处(CRIS,http://cris.nih.go.kr)注册,注册号为KCT0003462)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External Validation of a Pharmacokinetic Model Developed for Vancomycin Administration via Target-Controlled Infusion.

Purpose: Target-controlled infusion (TCI) could provide a patient-tailored approach for vancomycin dosing. This study aimed to externally evaluate the predictive performance of a previously constructed pharmacokinetic model of vancomycin (Choi model) specifically optimized for TCI administration of vancomycin differing from the existing model, and to assess the feasibility of administering vancomycin via TCI in clinical practice. Additionally, clinical outcomes were exploratively compared between the TCI and intermittent infusion (standard) methods for vancomycin administration.

Patients and methods: Clinically ill patients were randomly assigned in a 1:1 ratio to either the TCI or standard group. In the TCI group, vancomycin was administered using the Choi model, targeting an initial concentration of 25 mg/L, adjusted to maintain therapeutic levels (20-30 mg/L). The standard group received a loading dose of 25 mg/kg, then 15 mg/kg every 12 hours. Vancomycin concentrations for analysis were obtained from three blood samples per patient at set times, along with routine therapeutic drug monitoring data. Predictive performance was assessed using four parameters: inaccuracy, divergence, bias, and wobble. The occurrence of acute kidney injury (AKI) during and up to 7 days after vancomycin was investigated.

Results: The study was terminated early due to challenges in enrolling subjects (TCI: n=12, standard: n=13). Thirty-seven serum concentration measurements from the TCI group were analyzed. Pooled median bias and inaccuracy (95% confidence interval) were -2.7 (-7.3 to 1.9) and 17.0 (13.9 to 20.2), respectively. AKI incidence was similar between groups (TCI: n=0, standard: n=1) in this exploratory analysis, but caution is warranted in interpreting these outcomes as the planned sample size was not met.

Conclusion: The predictive performance of the TCI system integrated with the Choi model was suitable for clinical use. Further studies with a large cohort should be performed to determine the clinical effectiveness of vancomycin administered via the TCI method.

Trial registration: This study was registered at the Clinical Research Information Service of the Korean National Institute of Health (CRIS, http://cris.nih.go.kr), with registration number KCT0003462, on January 31, 2019).

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来源期刊
Drug Design, Development and Therapy
Drug Design, Development and Therapy CHEMISTRY, MEDICINAL-PHARMACOLOGY & PHARMACY
CiteScore
9.00
自引率
0.00%
发文量
382
审稿时长
>12 weeks
期刊介绍: Drug Design, Development and Therapy is an international, peer-reviewed, open access journal that spans the spectrum of drug design, discovery and development through to clinical applications. The journal is characterized by the rapid reporting of high-quality original research, reviews, expert opinions, commentary and clinical studies in all therapeutic areas. Specific topics covered by the journal include: Drug target identification and validation Phenotypic screening and target deconvolution Biochemical analyses of drug targets and their pathways New methods or relevant applications in molecular/drug design and computer-aided drug discovery* Design, synthesis, and biological evaluation of novel biologically active compounds (including diagnostics or chemical probes) Structural or molecular biological studies elucidating molecular recognition processes Fragment-based drug discovery Pharmaceutical/red biotechnology Isolation, structural characterization, (bio)synthesis, bioengineering and pharmacological evaluation of natural products** Distribution, pharmacokinetics and metabolic transformations of drugs or biologically active compounds in drug development Drug delivery and formulation (design and characterization of dosage forms, release mechanisms and in vivo testing) Preclinical development studies Translational animal models Mechanisms of action and signalling pathways Toxicology Gene therapy, cell therapy and immunotherapy Personalized medicine and pharmacogenomics Clinical drug evaluation Patient safety and sustained use of medicines.
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