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对猪饮用含盐酸四环素的水后血浆浓度建模的重要因素评估。

Evaluation of factors important in modeling plasma concentrations of tetracycline hydrochloride administered in water in swine.

作者信息

Mason Sharon E, Almond Glen W, Riviere Jim E, Baynes Ronald E

机构信息

Department of Comparative Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27606, USA.

出版信息

Am J Vet Res. 2012 Oct;73(10):1641-9. doi: 10.2460/ajvr.73.10.1641.

Abstract

OBJECTIVE

To model the plasma tetracycline concentrations in swine (Sus scrofa domestica) treated with medication administered in water and determine the factors that contribute to the most accurate predictions of measured plasma drug concentrations.

SAMPLE

Plasma tetracycline concentrations measured in blood samples from 3 populations of swine.

PROCEDURES

Data from previous studies provided plasma tetracycline concentrations that were measured in blood samples collected from 1 swine population at 0, 4, 8, 12, 24, 32, 48, 56, 72, 80, 96, and 104 hours and from 2 swine populations at 0, 12, 24, 48, and 72 hours hours during administration of tetracycline hydrochloride dissolved in water. A 1-compartment pharmacostatistical model was used to analyze 5 potential covariate schemes and determine factors most important in predicting the plasma concentrations of tetracycline in swine.

RESULTS

2 models most accurately predicted the tetracycline plasma concentrations in the 3 populations of swine. Factors of importance were body weight or age of pig, ambient temperature, concentration of tetracycline in water, and water use per unit of time.

CONCLUSIONS AND CLINICAL RELEVANCE

The factors found to be of importance, combined with knowledge of the individual pharmacokinetic and chemical properties of medications currently approved for administration in water, may be useful in more prudent administration of approved medications administered to swine. Factors found to be important in pharmacostatistical models may allow prediction of plasma concentrations of tetracycline or other commonly used medications administered in water. The ability to predict in vivo concentrations of medication in a population of food animals can be combined with bacterial minimum inhibitory concentrations to decrease the risk of developing antimicrobial resistance.

摘要

目的

模拟经饮水给药治疗的猪(家猪)血浆四环素浓度,并确定有助于最准确预测实测血浆药物浓度的因素。

样本

从3组猪的血液样本中测得的血浆四环素浓度。

程序

以往研究的数据提供了从1组猪在0、4、8、12、24、32、48、56、72、80、96和104小时以及从2组猪在服用溶于水的盐酸四环素期间的0、12、24、48和72小时采集的血液样本中测得的血浆四环素浓度。使用单室药代统计模型分析5种潜在协变量方案,并确定预测猪血浆四环素浓度最重要的因素。

结果

2种模型最准确地预测了3组猪的四环素血浆浓度。重要因素包括猪的体重或年龄、环境温度、水中四环素浓度以及单位时间的饮水量。

结论与临床意义

发现的重要因素,结合目前批准用于饮水给药的药物的个体药代动力学和化学性质知识,可能有助于更谨慎地给猪使用批准的药物。药代统计模型中发现的重要因素可能有助于预测四环素或其他常用饮水给药药物的血浆浓度。预测食用动物群体体内药物浓度的能力可与细菌最低抑菌浓度相结合,以降低产生抗菌药物耐药性的风险。

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