基于人工智能分析的COVID-19肺炎和动脉硬的不同严重程度之间的关系
Lingheng Wu1,2, Lin Jin3, Xinyi Li4,5
1Department of Ultrasound, Mindong Hospital Affiliated to Fujian Medical University, Ningde, China.
Frontiers in medicine
|September 15, 2025
概括
在COVID-19患者中,肺部感染的严重程度增加与动脉硬度升高和血管功能受损有关. 更高的动脉速度脉冲指数 (AVI) 表示更大的感染和死亡风险增加.
科学领域:
- 心脏病学 心脏病学
- 肺部病理学 肺部病理学
- 医疗成像医学成像
- 人工智能的人工智能
背景情况:
- 冠状病毒疾病2019 (COVID-19) 可能导致严重的肺部感染.
- 动脉硬是心血管健康和疾病严重程度的潜在指标.
- 人工智能 (AI) 为医学成像和患者数据提供先进的定量分析.
研究的目的:
- 调查COVID-19患者肺部感染严重程度与动脉硬之间的相关性.
- 利用人工智能对肺病变及其与动脉硬相关性的定量分析.
- 评估动脉硬性对COVID-19患者死亡率的预测值.
主要方法:
- 100名COVID-19患者根据感染严重程度 (轻度,中度,严重) 分层.
- 人工智能成像系统量化了感染的肺病变.
- 使用动脉速度脉冲指数 (AVI) 测量了动脉硬度.
- 进行了多次线性和考克斯回归分析.
主要成果:
- 动脉速度脉冲指数 (AVI) 在中度和严重的COVID-19组相比轻度组显著升高.
- AVI显示与肺叶感染的百分比有很强的关联.
- 一个AVI≥33是所有原因死亡率的显著独立预测指标 (危险比率:16.201).
结论:
- 在COVID-19患者中,肺炎的严重程度增加与血管内皮功能受损和动脉硬度增加有关.
- 肺叶感染的百分比是与动脉硬度增加相关的关键因素.
- 动脉硬度升高是COVID-19患者死亡的独立风险因素.
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