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Clin Pharmacol Ther. 2021 Apr;109(4):952-957. doi: 10.1002/cpt.2179. Epub 2021 Mar 3.
2
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J Am Geriatr Soc. 2016 Oct;64(10):1996-2002. doi: 10.1111/jgs.14288. Epub 2016 Aug 22.
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[Antimicrobial agents and renal elimination: towards individual dosage adjustment?].[抗菌药物与肾脏排泄:走向个体化剂量调整?]
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A Guide to Understanding Antimicrobial Drug Dosing in Critically Ill Patients on Renal Replacement Therapy.《危重症合并肾脏替代治疗患者抗菌药物剂量调整指南》
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Impact of Serum Cystatin C-Based Glomerular Filtration Rate Estimates on Drug Dose Selection in Hospitalized Patients.基于血清胱抑素 C 的肾小球滤过率估计对住院患者药物剂量选择的影响。
Pharmacotherapy. 2018 Oct;38(10):1068-1073. doi: 10.1002/phar.2175. Epub 2018 Sep 12.

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Kidney function as a key driver of the pharmacokinetic response to high-dose L-carnitine in septic shock.肾功能是高剂量左旋肉碱在脓毒性休克患者中引起药代动力学反应的关键驱动因素。
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Removing race and body surface area indexation for estimated kidney function based drug dosing: Aminoglycosides as justification of these principles.基于药物剂量估算的肾功能时去除种族和体表面积指数:氨基糖苷类药物是这些原则的佐证。
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Comparison of Race-Based and Non-Race-Based Equations for Kidney Function Estimation in Critically Ill Thai Patients for Vancomycin Dosing.基于种族和非种族方程在泰国危重症患者中用于万古霉素剂量估算的肾功能评估比较。
J Clin Pharmacol. 2022 Oct;62(10):1215-1226. doi: 10.1002/jcph.2070. Epub 2022 Jun 1.

本文引用的文献

1
Race, science and (im)precision medicine.种族、科学与(不)精准医学。
Nat Med. 2020 Nov;26(11):1675-1676. doi: 10.1038/s41591-020-1115-x.
2
Cystatin C is ready for clinical use.胱抑素 C 已准备好用于临床。
Curr Opin Nephrol Hypertens. 2020 Nov;29(6):591-598. doi: 10.1097/MNH.0000000000000638.
3
Hidden in Plain Sight - Reconsidering the Use of Race Correction in Clinical Algorithms.隐匿于众目睽睽之下——重新审视临床算法中种族校正的应用
N Engl J Med. 2020 Aug 27;383(9):874-882. doi: 10.1056/NEJMms2004740. Epub 2020 Jun 17.
4
Population Pharmacokinetic Study of Ceftriaxone in Elderly Patients, Using Cystatin C-Based Estimates of Renal Function To Account for Frailty.基于胱抑素 C 估计的肾功能评估老年患者头孢曲松的群体药动学研究:考虑虚弱因素。
Antimicrob Agents Chemother. 2020 Sep 21;64(10). doi: 10.1128/AAC.00874-20.
5
Nomenclature for kidney function and disease: Executive summary and glossary from a Kidney Disease: Improving Global Outcomes (KDIGO) Consensus Conference.肾脏功能与疾病命名法:来自改善全球肾脏病预后组织(KDIGO)共识会议的执行摘要及术语表
Kidney Res Clin Pract. 2020 Jun 30;39(2):151-161. doi: 10.23876/j.krcp.20.393.
6
Kidney Disease, Race, and GFR Estimation.肾脏病、种族与肾小球滤过率估计。
Clin J Am Soc Nephrol. 2020 Aug 7;15(8):1203-1212. doi: 10.2215/CJN.12791019. Epub 2020 May 11.
7
Cystatin C: A Primer for Pharmacists.胱抑素C:药剂师入门指南。
Pharmacy (Basel). 2020 Mar 9;8(1):35. doi: 10.3390/pharmacy8010035.
8
Estimation of Glomerular Filtration Rate With vs Without Including Patient Race.不考虑与考虑患者种族的肾小球滤过率估计。
JAMA Intern Med. 2020 May 1;180(5):793-795. doi: 10.1001/jamainternmed.2020.0045.
9
Reconsidering the Consequences of Using Race to Estimate Kidney Function.重新审视使用种族来估算肾功能的后果。
JAMA. 2019 Jul 9;322(2):113-114. doi: 10.1001/jama.2019.5774.
10
Considerations for Dose Selection and Clinical Pharmacokinetics/Pharmacodynamics for the Development of Antibacterial Agents.抗菌药物开发的剂量选择和临床药代动力学/药效学考虑因素。
Antimicrob Agents Chemother. 2019 Apr 25;63(5). doi: 10.1128/AAC.02309-18. Print 2019 May.

特殊人群的抗菌药物剂量和新的临床方法学:肾功能。

Antimicrobial Dosing in Specific Populations and Novel Clinical Methodologies: Kidney Function.

机构信息

Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, Michigan, USA.

出版信息

Clin Pharmacol Ther. 2021 Apr;109(4):952-957. doi: 10.1002/cpt.2179. Epub 2021 Mar 3.

DOI:10.1002/cpt.2179
PMID:33523498
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8851208/
Abstract

Kidney function is a common parameter used to define antimicrobial drug dosage and frequency of administration. Several methods exist to measure kidney function but for pragmatic reasons rely on estimated kidney function equations based on the endogenous biomarker serum creatinine and common clinical variables. Current regulatory guidance on the design of studies in patients with abnormal kidney function in the United States also recommend consideration of estimated kidney function for this reason. Over the past few decades, alternate endogenous biomarkers, administration of exogenous biomarkers for noninvasive measurement, use of probe substrates to characterize individual kidney drug clearance pathways, modifications to conventional equations to account for time-varying clearance, and improved clinical trial modeling and simulation to factor in these uncertainties have occurred. Furthermore, major changes to kidney replacement therapy delivery in the outpatient, inpatient, and at-home setting are occurring. Antimicrobial drug dose adjustment in this diverse population is complex and in a state of flux due to technical innovations. Over-reliance on kidney function estimates to guide drug dosing in patients with infectious diseases can bias underdosing especially among the acutely ill. A holistic approach to drug dose adjustment in patients with abnormal kidney function is necessary to optimize clinical outcomes.

摘要

肾功能是定义抗菌药物剂量和给药频率的常用参数。有几种方法可以测量肾功能,但出于实际原因,这些方法依赖于基于内源性生物标志物血清肌酐和常见临床变量的估算肾功能方程。美国关于异常肾功能患者研究设计的现行监管指南也出于这个原因建议考虑估算的肾功能。在过去几十年中,出现了替代内源性生物标志物、用于非侵入性测量的外源性生物标志物的给药、使用探针底物来描述个体肾脏药物清除途径、修改常规方程以考虑随时间变化的清除率,以及改进临床试验建模和模拟以考虑这些不确定性。此外,门诊、住院和家庭环境中肾脏替代治疗的主要变化正在发生。由于技术创新,在这个多样化的人群中调整抗菌药物剂量非常复杂,并且处于不断变化的状态。过度依赖肾功能估计值来指导传染病患者的药物剂量可能会导致剂量不足,尤其是在急性疾病患者中。需要采取整体方法来调整肾功能异常患者的药物剂量,以优化临床结果。