与严重的COVID-19结局相关的并发症模式:基于英国生物库的队列研究
Jian Zhang1,2, Can Hou2,3, Wenwen Chen2,3
1Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China.
PloS one
|August 22, 2025
概括
已经存在的并发病模块,特别是涉及循环,呼吸和与年龄相关的眼睛疾病,与严重的COVID-19有关. 一个新的基于模块的指数比现有的工具更好地预测严重的COVID-19结果.
科学领域:
- 流行病学中的网络分析
- 生物统计学
- 公共卫生
背景情况:
- 已经存在的健康状况增加了COVID-19的严重性风险.
- 对并发症模式的全面了解是有限的.
研究的目的:
- 确定与严重的COVID-19相关的已存在的并发症模式.
- 开发和验证一种用于预测严重COVID-19的新型并发症指数.
主要方法:
- 网络分析英国生物库数据 (n=420,920) 以确定并发症模块.
- 后勤回归评估模块与严重的COVID-19之间的关联.
- 基于模块的并发症指数与现有指数的开发和比较.
主要成果:
- 确定了七种不同的并发症模块.
- 六个模块与严重的COVID-19显著相关,特别是循环/呼吸系统和与年龄相关的眼病模块.
- 基于新型模块的指数比查尔森 (0. 714) 和16- 同发病率 (0. 714) 的指数具有更高的预测准确度 (AUC=0. 779).
结论:
- 特定的并发症模块,特别是影响血液循环,呼吸和眼睛的模块,是严重COVID-19的关键预测因素.
- 与当前标准相比,开发的基于模块的并发症指数可以更好地预测严重的COVID-19.
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