一项基于网络的研究揭示了2型糖尿病患者的多病态模式
Zizheng Zhang1,2, Ping He3, Huayan Yao4
1Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
iScience
|October 12, 2023
概括
2型糖尿病患者通常有多种健康问题. 这项研究在中国成年人中绘制了这些相互关联的并发症,揭示了疾病集群和特定年龄的模式,以更好地预防和治疗.
科学领域:
- 内分泌学 在内分泌学.
- 网络医学 网络医学
- 公共卫生 公共卫生
背景情况:
- 2型糖尿病 (T2DM) 患者面临多种并发症的高风险.
- 对于T2DM中这些并发症的复杂相互作用的理解是有限的.
- 电子病历 (EMR) 为研究多病态模式提供了宝贵的资源.
研究的目的:
- 调查T2DM患者中普遍存在的并发症.
- 通过网络分析分析这些共同疾病之间的相互关系.
- 为了确定T2DM中特定于性别和年龄的多发病率模式.
主要方法:
- 利用来自496,408名中国T2DM患者的EMR数据.
- 构建全球和特定年龄/性别的多发病率网络.
- 应用网络指标来评估网络结构并识别中心,根和爆发疾病.
主要成果:
- 在T2DM中确定了相互关联的并发症,经常出现在集群中.
- 揭示了特定于年龄的爆发和特定于性别的核心疾病.
- 在雄性和雌性之间展示了明显的多病症网络结构.
结论:
- T2DM多病症呈现为相互连接的集群和特定年龄的爆发.
- 及时检测和干预各性别核心疾病至关重要.
- 这种网络分析为T2DM的临床预防和治疗策略提供了数据驱动的基础.
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