Suppr超能文献

基于群体药代动力学模型的危重症患者利奈唑胺剂量优化:一项两中心前瞻性干预研究。

Dose optimisation of linezolid in critically ill patients based on a population pharmacokinetic model: A two-centre prospective interventional study.

机构信息

Department of Pharmacy, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, No. 26 Daoqian Street, Gusu District, Suzhou, Jiangsu 215002, China.

Department of Pharmacy, The Affiliated Suzhou Science and Technology Town Hospital of Nanjing Medical University, Suzhou, China.

出版信息

Int J Antimicrob Agents. 2023 Aug;62(2):106881. doi: 10.1016/j.ijantimicag.2023.106881. Epub 2023 Jun 8.

Abstract

OBJECTIVES

This study evaluated the intervention effect of clinical pharmacist-mediated optimisation of a linezolid regimen using a population pharmacokinetic (PPK) model.

METHODS

Patients treated with linezolid in two medical centres from January 2020 to June 2021 were retrospectively included in the control group; those treated from July 2021 to June 2022 were prospectively enrolled in the intervention group. Clinical pharmacists optimised the dosage regimen according to a published linezolid PPK model in the intervention group. An interrupted times series approach was used to analyse the data. The incidence of linezolid-induced thrombocytopenia (LIT), target attainment of pharmacokinetic/pharmacodynamic parameters and other adverse drug reactions (ADRs) were compared between the two groups.

RESULTS

In total, 77 and 103 patients were enrolled in the control and intervention groups, respectively. The intervention group had a lower incidence of LIT and other ADRs than the control group (10.7% vs. 23.4%, P = 0.002; 1.0% vs. 7.8%, P = 0.027). The intervention group exhibited a considerably lower trough concentration (C) and area under the concentration-time curve/MIC ratio (AUC/MIC) (P = 0.001 and P < 0.001). C and AUC/MIC rates within the target range were substantially higher in the intervention group (49.6% vs. 20.0%, adjusted P < 0.05; 48.1% vs. 25.6%, adjusted P < 0.05).

CONCLUSION

Interventions by clinical pharmacists reduced the incidence of LIT and other ADRs. Implementation of model-informed precision dosing (MIPD) for linezolid markedly increased the C and AUC/MIC rates within the target range. We recommend MIPD-guided linezolid dose reduction for patients with renal impairment.

摘要

目的

本研究评估了临床药师通过群体药代动力学(PPK)模型优化利奈唑胺方案的干预效果。

方法

回顾性纳入 2020 年 1 月至 2021 年 6 月在两个医学中心接受利奈唑胺治疗的患者为对照组;前瞻性纳入 2021 年 7 月至 2022 年 6 月接受治疗的患者为干预组。在干预组中,临床药师根据已发表的利奈唑胺 PPK 模型优化了剂量方案。采用中断时间序列方法分析数据。比较两组患者利奈唑胺诱导血小板减少症(LIT)、药代动力学/药效学参数目标达标率和其他不良反应(ADR)的发生率。

结果

共纳入 77 例和 103 例患者分别进入对照组和干预组。与对照组相比,干预组 LIT 和其他 ADR 的发生率较低(10.7%比 23.4%,P=0.002;1.0%比 7.8%,P=0.027)。干预组的谷浓度(C)和浓度-时间曲线下面积/最小抑菌浓度比值(AUC/MIC)显著较低(P=0.001 和 P<0.001)。干预组 C 和 AUC/MIC 在目标范围内的比例显著较高(49.6%比 20.0%,调整后 P<0.05;48.1%比 25.6%,调整后 P<0.05)。

结论

临床药师的干预降低了 LIT 和其他 ADR 的发生率。实施利奈唑胺的基于模型的精准给药(MIPD)显著提高了 C 和 AUC/MIC 在目标范围内的比例。我们建议对肾功能损害的患者进行 MIPD 指导的利奈唑胺剂量减少。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验