通过数据驱动的方法打击抗生素耐药性,以优化抗生素的使用和改善患者的结果:混合方法研究协议
Jonathan Mayito1, Conrad Tumwine1, Ronald Galiwango1,2
1Infectious Diseases Institute, College of Health Sciences, Makerere University, Kampala, Uganda.
JMIR research protocols
|November 8, 2024
概括
本研究建立了乌干达抗菌素耐药性 (AMR) 和抗菌素使用 (AMU) 数据库. 该计划旨在追踪耐药性趋势,预测患者的结果,并估计AMR的经济负担.
科学领域:
- 全球卫生安全全球卫生安全
- 传染病流行病学 传染病流行病学
- 卫生经济学 卫生经济学
背景情况:
- 抗菌素耐药性 (AMR) 构成了重大的全球威胁,预计到2050年,每年将导致1000万死亡.
- 资源有限的环境往往缺乏关键的AMR监测数据,包括临床结果和经济影响.
- 这项研究解决了数据缺口,重点关注乌干达,这是一个资源有限的关键地区.
研究的目的:
- 开发一个动态的数据仓库对抗微生物使用和消费 (AMUC) 和AMR,以告知政策和干预措施.
- 通过9家区域转诊医院的数据,分析5年来AMR和AMU的趋势.
- 创建一个机器学习模型来预测耐药性感染的临床结果,并估计乌干达AMR的经济负担.
主要方法:
- 使用FLAIR原则和基于角色的访问控制来构建一个强大的AMR和AMU数据仓库.
- 应用机器学习算法来预测AMR相关的临床结果.
- 疾病成本分析以确定与AMR相关的经济负担.
主要成果:
- 数据仓库的开发已经完成,正在进行测试.
- 历史监测数据 (2020-2023) 的数据整理工作已经完成.
- 已收集了599名患者的回顾性AMR记录,包括临床结果和经济数据.
结论:
- 数据仓库将加强对研究和政策的集成AMR和AMU数据的访问.
- 预测模型和经济数据将支持改善AMR干预措施的临床管理和资源配置.
关键词:
抗菌药物反症 (AMR) 是一种在AMR数据库中使用AMR数据.抗生素抗生素是一种抗生素.抗微生物药物是一种抗菌药物.抗微生物耐药性 抗微生物耐药性抗微生物药物的使用.人工智能的人工智能是人工智能.数据驱动的数据驱动.耐药性 耐药性 耐药性 耐药性耐药性感染 耐药性感染经济 经济 经济 经济 经济机器学习是机器学习.混合方法的混合方法.患者的结果患者的结果.监控数据 监控数据 监控数据更多相关视频
10:50Design and Use of a Low Cost, Automated Morbidostat for Adaptive Evolution of Bacteria Under Antibiotic Drug Selection
Published on: September 27, 2016
9.7K
11:17Multiplex Therapeutic Drug Monitoring by Isotope-dilution HPLC-MS/MS of Antibiotics in Critical Illnesses
Published on: August 30, 2018
12.8K
相关概念视频
Antibiotic Selection
52.3K
Overview
52.3K
Combined Effects of Drugs: Synergism
3.7K
Synergism is a useful mechanism where combining two or more drugs is more effective than each constituent used alone. Such combinations are also called supra-additive interactions. The drugs collectively enhance the final therapeutic effect by acting on different targets. Another advantage is that the low dose of each constituent drug is sufficient to achieve the desired effect. This helps reduce the duration of therapy and lower the adverse effects of these drugs.
Such synergistic combinations...
Such synergistic combinations...
3.7K
Development of Antibiotic Resistance
Antibiotic resistance is a major public health concern that arises when bacteria evolve mechanisms to withstand the effects of antibiotic treatments. This resistance can be intrinsic, acquired through genetic mutations, or transferred between bacteria via horizontal gene transfer. The development of antibiotic resistance poses significant challenges in treating bacterial infections and necessitates ongoing research to develop new therapeutic strategies.Intrinsic resistance occurs when bacterial...
Antimicrobial Effectiveness
2
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
2
Structure-Activity Relationships and Drug Design
597
Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...
597
Analysis of Population Pharmacokinetic Data
235
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...
235
