使用网络分析模块化,探索老年入院挪威患者的多病态模式
Mohsen Askar1, Beate Hennie Garcia1, Kristian Svendsen1
1Department of Pharmacy, Faculty of Health Sciences, UiT, The Arctic University of Norway, Norway.
International journal of medical informatics
|April 29, 2025
概括
网络分析揭示了老年住院患者复杂的多病态模式 (MPs). 识别这些疾病集群有助于医疗保健规划,并通过了解疾病相互作用来改善患者的治疗结果.
科学领域:
- 老年学是一门学科.
- 网络科学 网络科学
- 公共卫生 公共卫生
背景情况:
- 了解多病态模式 (MPs) 对于有效的医疗保健规划和资源配置至关重要.
- 识别这些模式可以显著改善患者的治疗结果.
研究的目的:
- 展示网络分析 (NA) 的应用,以探索住院老年挪威患者的多病症模式.
- 识别和解释同时出现的慢性疾病的集群.
主要方法:
- 利用了挪威患者登记 (2017-2019) 的数据,用于65岁以上多种慢性疾病的患者.
- 定义了多病症和使用慢性状况指标精制 (CCIR) 清单识别的慢性疾病.
- 采用相对风险和Phi相关性来评估疾病关联,构建一个多病症网络,用卢凡社区检测进行分析.
主要成果:
- 一个539种慢性疾病的网络揭示了明显的多病态模式,包括心脏病,代谢心血管和呼吸系统疾病.
- 通过使用网络中心性指标,在每个模式内确定了有影响力的条件.
- 开发了交互式网络和日照图,供公众访问,以可视化这些模式.
结论:
- 网络分析和模块化检测有效地识别了老年人的多病态模式.
- 这项研究强调了老年人的慢性疾病的复杂相互作用.
- 纳的方法提供了一个强大的方法来探索这些复杂的疾病关系.
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