使用超图来量化疾病群的重要性,通过医疗保健资源利用:一个回顾性队列研究
James Rafferty1, Alexandra Lee1, Ronan A Lyons1
1Population Data Science, Swansea University Medical School, Swansea University, Swansea, United Kingdom.
PloS one
|December 15, 2023
概括
越来越多的多重疾病 (多种长期疾病) 影响健康结果. 这项研究使用了超图来识别关键疾病集群,发现糖尿病和高血压的同时发生显著影响了医疗保健资源的使用.
科学领域:
- 公共卫生 公共卫生
- 流行病学 流行病学
- 医疗保健服务研究 医疗服务研究
背景情况:
- 全球范围内观察到多重疾病 (多种长期疾病) 的增长率.
- 患有多病症的人面临着更差的健康结果和更高的医疗需求.
- 了解疾病分组及其对医疗保健利用的影响至关重要,但尚未得到充分研究.
研究的目的:
- 基于患病率和医疗保健资源使用 (HRU) 的多病症集群建模.
- 为了确定关键的同时发生的疾病集和它们在英国大人口队列中的意义.
- 为了证明超图的实用性,分析复杂的疾病关系.
主要方法:
- 利用超图来建模疾病之间基于同时发生和HRU之间的关系.
- 分析了英国威尔士20岁以上的2,178,938名个人 (2000-2017年) 的大量队列.
- 确定了包括高血压,糖尿病,抑郁症和COPD在内的流行疾病.
主要成果:
- 以流行率为重点的疾病集通常涉及较少的疾病,而以HRU为重点的集包括更多的疾病.
- 当考虑患病率和HRU时,糖尿病和高血压的结合成为最重要的疾病组.
- 高血压在最重要的疾病组中经常被发现,突出显示了它的关键作用.
结论:
- 超图模型提供了一种灵活的方法来识别基于同时发生和HRU的重大疾病集群.
- 内分泌和心血管疾病的同时发生,特别是高血压和糖尿病,是关键的发现.
- 整合流行率和HRU数据为医疗服务规划和提供提供提供了宝贵的见解.
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