在优化剂量和降低耐药性的背景下对抗生素药理学建模的兴趣:文献计量分析

相关实验视频

Updated: Jun 16, 2025

Isolation and Identification of Waterborne Antibiotic-Resistant Bacteria and Molecular Characterization of their Antibiotic Resistance Genes

Published on: March 3, 2023

6.4K

Arkadiusz Adamiszak^1,2, Alicja Bartkowska-Śniatkowska³, Edmund Grześkowiak¹

¹Department of Clinical Pharmacy and Biopharmacy, Poznan University of Medical Sciences, Poland.

Anaesthesiology intensive therapy

|August 21, 2024

概括

药理动力学 (PK) 建模优化了抗生素治疗以对抗耐药细菌. 这项研究分析了PK建模研究的趋势,确定了关键作者,机构以及治疗药物监测和抗生素剂量等趋势方面.

科学领域:

药理学和制药科学药理学和制药科学
传染性疾病传染性疾病
生物统计学生物统计学

背景情况:

抗生素耐药性增加需要优化治疗策略.
药理动力学 (PK) 建模对于提高抗生素疗效和尽量减少耐药性至关重要.
了解PK建模的研究趋势对于未来的进展至关重要.

研究的目的:

对抗生素治疗中的PK建模研究进行文献计量分析.
识别关键趋势,有影响力的研究人员和该领域的新兴领域.
为抗生素PK建模的未来研究方向提供见解.

主要方法:

从1983年到2023年3月使用Web of Science对968篇文章进行了图书统计分析.
使用了Bibliometrix,VOSviewer和CiteSpace进行数据分析.
构建关键词同时出现的地图和时间表以可视化趋势.

主要成果:

出版物持续增长,年平均增长率为35.56%.
顶级贡献者包括作者J.A. 罗伯茨,J.利普曼和SC沃利斯,以及像昆士兰大学这样的机构.
关键的研究领域包括梅罗,万科米辛,阿米卡辛,治疗药物监测和重症监护病房应用.

结论:

预计将持续增加对抗生素治疗优化PK建模的研究兴趣.
这些发现凸显了PK建模在解决抗生素耐药性的日益重要.
未来的研究应该专注于趋势方面,如治疗药物监测和特定抗生素剂.

关键词:

蒙特卡洛模拟的蒙特卡洛模拟在 PK 建模中,PK 建模是抗生素治疗是一种抗生素治疗.细菌的耐药性细菌的耐药性药学指标药学指标药学指标药学指标文献计量学与文献计量学.

相关概念视频

01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

104

Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...

104

01:20

Pharmacokinetic Models: Overview

627

Pharmacokinetic models utilize mathematical analysis to achieve a detailed quantitative understanding of a drug's life cycle within the body. They are instrumental in simulating a drug's pharmacokinetic parameters, predicting drug concentrations over time, optimizing dosage regimens, linking concentrations with pharmacologic activity, and estimating potential toxicity.
There are three primary types of models: empirical, compartment, and physiological. Empirical models, with minimal...

627

01:12

Analysis of Population Pharmacokinetic Data

241

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...

241

01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...

01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.

01:15

Model Approaches for Pharmacokinetic Data: Physiological Models

Physiological models in pharmacokinetics are instrumental in understanding the distribution and elimination of drugs within the body. These models describe the drug concentration within target organs, influenced by factors such as drug uptake, tissue volume, and blood flow. Drug uptake is governed by the partition coefficient, which signifies the drug concentration ratio in tissue to that in the blood. The blood flow rate to a specific tissue is expressed as Qt, and the rate of change in tissue...