使用大规模电子医疗记录分析甲状腺疾病患者的并发症模式:基于网络的回顾性观察性研究
Yanqun Huang1, Siyuan Chen2, Yongfeng Wang1
1Department of Medical Equipment, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Interactive journal of medical research
|October 3, 2024
概括
甲状腺疾病 (TD) 患者表现出复杂的并发症模式,尤其是心脏病和糖尿病. 这些模式因年龄,性别和TD类型而异,影响患者管理.
科学领域:
- 内分泌学和网络医学.
- 公共卫生和流行病学
背景情况:
- 甲状腺疾病 (TD) 是一种显著的内分泌疾病,并没有明确的并发症模式.
- 了解这些模式对于全球健康和患者管理至关重要.
研究的目的:
- 使用基于网络的方法分析TD并发症模式.
- 调查共发病症在患者子组 (性别,年龄,TD类型) 中如何不同.
主要方法:
- 对大规模的私人和公共卫生数据进行回顾性分析.
- 使用ICD-10代码来识别并发症 (患病率>2%).
- 构建了表型并发症网络 (PCN) 和应用了PageRank算法.
主要成果:
- 在18,311名 (私人) 和50,242名 (公共) TD患者中确定了复杂的并发症模式.
- 高血压,糖尿病和脂蛋白乱是最常见的并发症.
- 随着年龄的增长,并发症复杂性增加;男性和良性TD患者表现出更多样化的关联.
结论:
- TD并发症是复杂的,特别是涉及心脑血管疾病和糖尿病.
- 在TD子组中,并发症关联显著不同.
- 结果有助于理解和改进TD患者的综合管理.
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