优化用于治疗骨和关节感染的抗微生物疗法的药理动力学和药理动力学考虑:基于证据的算法方法
Milo Gatti1,2, Sara Tedeschi1,3, Eleonora Zamparini3
1Department of Medical and Surgical Sciences, Alma Mater Studiorum, University of Bologna, Bologna, Italy.
对骨关节感染 (BJIs) 开发基于证据的算法至关重要. 这些算法根据临床情景和药理动力学/药理动力学 (PK/PD) 特性指导最佳的抗微生物治疗,以获得更好的患者结果.
科学领域:
- 传染性疾病 传染性疾病
- 整形外科 整形外科 整形外科
- 药理学 药理学是指药理学的学科.
背景情况:
- 骨关节感染 (BJIs) 带来了严重的发病率和死亡率挑战.
- 针对各种BJI临床场景的最佳抗菌策略仍然是一个未得到满足的需求.
- 目前的治疗选择往往缺乏基于临床背景和药物特性的具体指导.
研究的目的:
- 开发基于证据的算法,用于经验和向的抗生素治疗BJIs.
- 提供多学科专家意见,以指导临床决策.
- 为了解决在BJIs中对量身定制的抗微生物治疗的未满足需求.
主要方法:
- 一个多学科的专家团队进行了代评估,以创建治疗算法.
- 在PubMed-MEDLINE (至2023年4月) 进行了全面的文献搜索,为治疗选择提供了信息.
- 算法围绕四个不同的临床场景进行了结构化:脊椎骨质炎,假肢关节感染,感染性非联合/慢性骨质炎和传染性关节炎,考虑了手术需求,病原体识别和PK/PD特性.
主要成果:
- 基于对抗生素特征的全面分析,制定了治疗算法.
- 考虑的关键抗生素特征包括活性谱,PK/PD特性,骨透和抗生物膜活性.
- 这些算法将临床背景与抗生素药理学相结合,以优化治疗选择.
结论:
- 开发的算法为管理BJI提供了一个结构化的方法.
- 这些基于证据的指导方针旨在改善骨和关节感染患者的临床结果.
- 结合PK/PD特征和临床情景,提高了抗菌药物治疗选择的精度.
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