在社区获得的严重肺炎中存在多种耐药性病原体的风险
E Campaña-Duel1,2, M Camprubí-Rimblas1,2, A Areny-Balagueró1,2
1Critical Care Center, Parc Taulí Hospital Universitari, Institut d'Investigació i Innovació Parc Taulí (I3PT-CERCA), Universitat Autònoma de Barcelona, Sabadell, Spain.
识别导致严重社区性肺炎 (SCAP) 的难以治疗的病原体需要更好的工具. 使用预测得分和快速诊断的综合方法可以改善治疗和结果.
科学领域:
- 传染性疾病 传染性疾病
- 肺部病理学 肺部病理学
- 抗微生物耐药性 抗微生物耐药性
背景情况:
- 由于难以治疗的 (DTR) 病原体,严重的社区性肺炎 (SCAP) 带来了治疗挑战,导致选择有限和结果差.
- 现有的SCAP中DTR病原体的预测评分系统在方法和目标病原体方面表现出显著的异质性.
- 目前的模型表明,在减少不适当的抗生素使用或改善患者结果方面,独立有效性有限.
研究的目的:
- 审查和评估用于识别SCAP中的DTR病原体的现有工具.
- 为早期DTR病原体检测,减少广谱抗生素使用和改善临床结果的管理策略的制定提供信息.
主要方法:
- 在SCAP中对DTR病原体进行预测评分系统的系统性审查.
- 评估用于病原体识别和耐药机制的快速诊断方法.
主要成果:
- 预测模型本身在减少不适当的抗生素使用或改善患者结果方面表现出有限的有效性.
- 评分系统显示出相当大的变化,影响了它们的概括性和有效性.
- 快速诊断工具,如多重PCR,为快速发现病原体和耐药性提供了潜力.
结论:
- 集成的算法,包括预测得分和快速诊断,对于管理由DTR病原体引起的SCAP至关重要.
- 当地流行病学数据和抗菌药物管理计划是有效管理策略的重要组成部分.
- 优化诊断和治疗途径可以改善SCAP患者的临床结果.
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