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本文引用的文献

1
MIC-based dose adjustment: facts and fables.基于 MIC 的剂量调整:事实与虚构。
J Antimicrob Chemother. 2018 Mar 1;73(3):564-568. doi: 10.1093/jac/dkx427.
2
The role of infection models and PK/PD modelling for optimising care of critically ill patients with severe infections.感染模型和 PK/PD 模型在优化重症感染危重症患者治疗中的作用。
Intensive Care Med. 2017 Jul;43(7):1021-1032. doi: 10.1007/s00134-017-4780-6. Epub 2017 Apr 13.
3
Comparative Evaluation of the Predictive Performances of Three Different Structural Population Pharmacokinetic Models To Predict Future Voriconazole Concentrations.三种不同结构的群体药代动力学模型预测伏立康唑未来浓度的预测性能比较评估
Antimicrob Agents Chemother. 2016 Oct 21;60(11):6806-6812. doi: 10.1128/AAC.00970-16. Print 2016 Nov.
4
The ADMIN-ICU survey: a survey on antimicrobial dosing and monitoring in ICUs.ADMIN-ICU调查:一项关于重症监护病房抗菌药物给药与监测的调查。
J Antimicrob Chemother. 2015 Sep;70(9):2671-7. doi: 10.1093/jac/dkv165. Epub 2015 Jul 13.
5
Comparison of the accuracy and precision of pharmacokinetic equations to predict free meropenem concentrations in critically ill patients.预测重症患者美罗培南游离浓度的药代动力学方程的准确性和精密度比较。
Antimicrob Agents Chemother. 2015 Mar;59(3):1411-7. doi: 10.1128/AAC.04001-14. Epub 2014 Dec 15.
6
Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions.个体化抗生素剂量给药用于危重症患者:挑战与潜在解决方案。
Lancet Infect Dis. 2014 Jun;14(6):498-509. doi: 10.1016/S1473-3099(14)70036-2. Epub 2014 Apr 24.
7
DALI: defining antibiotic levels in intensive care unit patients: are current β-lactam antibiotic doses sufficient for critically ill patients?DALI 研究:确定重症监护病房患者的抗生素水平:目前的β-内酰胺类抗生素剂量是否足以满足重症患者的需求?
Clin Infect Dis. 2014 Apr;58(8):1072-83. doi: 10.1093/cid/ciu027. Epub 2014 Jan 14.
8
Protein binding of β-lactam antibiotics in critically ill patients: can we successfully predict unbound concentrations?重症患者中β-内酰胺类抗生素的蛋白结合:我们能否成功预测游离浓度?
Antimicrob Agents Chemother. 2013 Dec;57(12):6165-70. doi: 10.1128/AAC.00951-13. Epub 2013 Sep 30.
9
Does Beta-lactam Pharmacokinetic Variability in Critically Ill Patients Justify Therapeutic Drug Monitoring? A Systematic Review.危重症患者β-内酰胺类药代动力学变异性是否需要治疗药物监测?系统评价。
Ann Intensive Care. 2012 Jul 28;2(1):35. doi: 10.1186/2110-5820-2-35.
10
Antibiotics in critically ill patients: a systematic review of the pharmacokinetics of β-lactams.危重症患者中的抗生素:β-内酰胺类药物药代动力学的系统评价。
Crit Care. 2011;15(5):R206. doi: 10.1186/cc10441. Epub 2011 Sep 13.

在危重症患者中使用基于药代动力学/药效学的剂量计算器评估头孢吡肟、美罗培南和哌拉西林他唑巴坦的药效学目标达成情况。

Pharmacodynamic Target Attainment for Cefepime, Meropenem, and Piperacillin-Tazobactam Using a Pharmacokinetic/Pharmacodynamic-Based Dosing Calculator in Critically Ill Patients.

机构信息

University of Maryland School of Pharmacy, Baltimore, Maryland, USA

Center for Anti-Infective Research, Hartford Hospital, Hartford, Connecticut, USA.

出版信息

Antimicrob Agents Chemother. 2018 Aug 27;62(9). doi: 10.1128/AAC.01008-18. Print 2018 Sep.

DOI:10.1128/AAC.01008-18
PMID:29967022
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6125501/
Abstract

This was a prospective study to determine if pharmacokinetic/pharmacodynamic (PK/PD)-based antibiotic dosing software aids in achieving concentration targets in critically ill patients receiving cefepime ( = 10), meropenem ( = 20), or piperacillin-tazobactam ( = 19). Antibiotic calculator doses targeting a >90% probability of target attainment (PTA) differed from package insert doses for 22.4% (11/49) of patients. Target attainment was achieved for 98% of patients (48/49). A PK/PD-based antibiotic dosing calculator provides beta-lactam doses with a high PTA in critically ill patients.

摘要

这是一项前瞻性研究,旨在确定基于药代动力学/药效学(PK/PD)的抗生素剂量计算软件是否有助于达到接受头孢吡肟(= 10)、美罗培南(= 20)或哌拉西林他唑巴坦(= 19)治疗的危重症患者的浓度目标。抗生素计算器剂量的目标是达到 >90%的目标命中率(PTA),与 22.4%(11/49)的患者的用药说明书剂量不同。98%的患者(48/49)达到了目标。基于 PK/PD 的抗生素剂量计算为危重症患者提供了具有高 PTA 的β-内酰胺剂量。