模拟侵入性阿斯伯吉洛斯风险,用于预防策略的应用
Jo-Anne H Young1, David R Andes2, Monica I Ardura3
1Department of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.
Open forum infectious diseases
|March 14, 2024
概括
了解侵入性阿斯伯吉洛症 (IA) 的风险至关重要. 一个视觉模型有助于识别受益于阿斯伯菌预防的患者群体,特别是随着他们的病情和风险随着时间的推移而演变.
科学领域:
- 医学真菌学 医学真菌学
- 传染病 流行病学 流行病学
- 临床决策支持 临床决策支持
背景情况:
- 侵入性阿斯伯吉洛症 (IA) 的流行病学是动态的和不断变化的.
- 识别Aspergillus预防风险患者群体对于有效治疗至关重要.
- 目前的模型可能无法完全捕捉患者风险概况的时间变化.
研究的目的:
- 为了可视化建模患者群体及其相关的侵入性阿斯伯吉洛症风险期.
- 帮助确定最有可能受益于初级或二级Aspergillus预防的患者群体.
- 在不断变化的传染病指南中支持临床决策.
主要方法:
- 利用Sankey图形方法可视化患者队列中的IA风险.
- 呈现了一个静态图,说明了时间风险分层.
- 建议对互动,基于互联网的版本进行潜在的改进.
主要成果:
- 桑基方法提供了一种动态方法,用于了解不同患者群体的IA风险.
- 视觉模型可以突出特定的患者流程及其相关风险.
- 该图表的目的是将其纳入临床实践指南.
结论:
- 一个时间视觉模型,如Sankey方法,可以增强对侵入性阿斯伯吉洛症风险的理解.
- 这种模式可以指导选择适当的阿斯伯菌预防策略.
- 拟议的可视化将是即将发布的阿斯珀吉洛症临床实践指南的一部分.
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