伴随性疾病模式和对疾病控制的影响:来自中国上海的医疗记录的网络分析
Yifei Shen1, Wenqi Tian2, Na Li1
1Shanghai Health Development Research Center (Shanghai Medical Information Center), Shanghai, China.
Frontiers in public health
|March 25, 2025
概括
上海 上海 上海 上海 上海
科学领域:
- 老年学与公共卫生
- 医学中的网络分析.
- 慢性疾病流行病学 慢性疾病流行病学
背景情况:
- 上海面临着越来越多的人口老龄化,慢性病和并发病的流行率增加.
- 了解并发症模式对于有效预防和管理老年人疾病至关重要.
- 这项研究解决了对城市老龄化人口中复杂疾病关系的深入分析的需求.
研究的目的:
- 调查和说明上海老年人疾病网络和并发症模式.
- 在衰老和慢性疾病的背景下识别关键疾病及其相互关系.
- 为针对性医疗干预和疾病管理策略提供见解.
主要方法:
- 一个大数据集 (3,779,756个医疗记录) 的横截面分析.
- 使用IsingFit和Fast-greedy算法应用网络分析和社区分类.
- 数据收集包括疾病代码和医疗记录中的患病率.
主要成果:
- 高血压,缺血性心脏病和2型糖尿病的发病率很高.
- 在主要疾病和众多并发症之间发现了显著的关联.
- 脂质代谢障碍,胃炎,脂肪肝和心力衰竭在疾病网络中具有很高的中心作用.
结论:
- 常见的并发病模式包括缺血性心脏病,胃炎,高血压,糖尿病和脂质代谢障碍.
- 观察到伴随性疾病模式的性别特异性差异,男性易患心血管/睡眠问题,女性易患甲状腺/炎症问题.
- 医疗保健提供者应根据已识别的并发症模式监测生命体征和心理健康,以防止疾病的进展.
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