基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案

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基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案

陈瑶, 宋香清

文章导航 > 药学实践与服务 > 2017 > 35(4): 341-345

陈瑶, 宋香清. 基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案[J]. 药学实践与服务, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

引用本文:

陈瑶, 宋香清. 基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案[J]. 药学实践与服务, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

Citation:

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案

doi: 10.3969/j.issn.1006-0111.2017.04.013

陈瑶¹,
宋香清²

1.
湖南省娄底市中心医院药剂科, 湖南娄底 417000
2.
湖南省肿瘤医院药学部, 湖南长沙 410013

Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model

CHEN Yao¹,
SONG Xiangqing²

1.
Department of Pharmacy, Loudi Central Hospital, Loudi 417000, China
2.
Department of Pharmacy, Hunan Cancer Hospital, Changsha 410013, China

摘要: 目的考察T>MIC简易数学模型对二室模型的适用性，简化T>MIC计算过程，并据此探讨美罗培南给药方案。方法以美罗培南的推荐剂量和静脉输注时间分别为0.5 h与3 h设计6种临床常用方案（0.5 g/次 q8 h 0.5 h、0.5 g/次 q8 h 3 h、1.0 g/次 q8 h 0.5 h、1.0 g/次q8 h 3 h、2.0 g/次q8 h 0.5 h、2.0 g/次q8 h 3 h），各方案分别与美罗培南对临床常见致病菌的4种MIC敏感性折点（0.5、1、2、4 μg/ml）组合形成不同的T>MIC，每种方案的T>MIC又可根据简易模型和二室模型计算，结果形成不同方案下的T>MIC对子，T>MIC差异采用配对样本t检验，考察简易数学模型的拓展适用性。并根据简易模型计算T>MIC%，以其达到40%~100%探讨美罗培南对不同细菌感染的给药方案。 结果与结论 简易模型可替代二室模型计算T>MIC，根据该模型从理论上可方便快捷地对美罗培南给药方案进行初判和模拟优化。
- T>MIC /
- 碳青霉烯 /
- 美罗培南 /
- 一室模型 /
- 二室模型
Abstract: Objective To simplify the calculation of T>MIC and evaluate meropenem regimens based on the simple mathematical model of T>MIC reported in literature for two-compartment model. Methods Six meropenem regimens were designed according to the recommended dose with the infusion duration of 0.5 h and 3 h. Four different MIC susceptibility breakpoint of meropenem against clinical microbiologic flora were used to formulate different T>MIC.Each T>MIC was calculated by both the simple and two-compartment model of T>MIC.Meropenem regimens were evaluated for different bacterial infections based on the simple model of T>MIC with 40%~100% of the T>MIC% as the target. The t-test suggested no significant difference between the pairs of T>MIC calculated by the two models. Results and Conclusion Simple model of T>MIC can replace the two-compartment model.Meropenem regimens can be optimized based on this simple model of T>MIC conveniently and quickly.
- times above MIC(T>MIC) /
- carbapenem /
- meropenem /
- one-compartment model /
- two-compartment model

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基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案

doi: 10.3969/j.issn.1006-0111.2017.04.013

陈瑶¹,
宋香清²

1. 湖南省娄底市中心医院药剂科, 湖南娄底 417000

2. 湖南省肿瘤医院药学部, 湖南长沙 410013

收稿日期: 2016-09-17
修回日期: 2017-01-16

关键词:

摘要: 目的考察T>MIC简易数学模型对二室模型的适用性，简化T>MIC计算过程，并据此探讨美罗培南给药方案。方法以美罗培南的推荐剂量和静脉输注时间分别为0.5 h与3 h设计6种临床常用方案（0.5 g/次 q8 h 0.5 h、0.5 g/次 q8 h 3 h、1.0 g/次 q8 h 0.5 h、1.0 g/次q8 h 3 h、2.0 g/次q8 h 0.5 h、2.0 g/次q8 h 3 h），各方案分别与美罗培南对临床常见致病菌的4种MIC敏感性折点（0.5、1、2、4 μg/ml）组合形成不同的T>MIC，每种方案的T>MIC又可根据简易模型和二室模型计算，结果形成不同方案下的T>MIC对子，T>MIC差异采用配对样本t检验，考察简易数学模型的拓展适用性。并根据简易模型计算T>MIC%，以其达到40%~100%探讨美罗培南对不同细菌感染的给药方案。 结果与结论 简易模型可替代二室模型计算T>MIC，根据该模型从理论上可方便快捷地对美罗培南给药方案进行初判和模拟优化。

English Abstract

陈瑶, 宋香清. 基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案[J]. 药学实践与服务, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

引用本文:

陈瑶, 宋香清. 基于T>MIC简易数学模型对二室模型的拓展适用性探讨美罗培南给药方案[J]. 药学实践与服务, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

Citation:

CHEN Yao, SONG Xiangqing. Meropenem regimens based on the simple mathematical model of T>MIC for two-compartment model[J]. Journal of Pharmaceutical Practice and Service, 2017, 35(4): 341-345. doi: 10.3969/j.issn.1006-0111.2017.04.013

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