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确定影响因素并构建血液透析患者长期COVID-19的预测模型
Ding Chen1, Xinlun Li1, Chang Xiao1
1Department of Nephrology, Air Force Medical Center, PLA, Fucheng Road No.30, Haidian District, Beijing, 100037, China.
International urology and nephrology
|November 11, 2024
概括
血液透析患者的长期COVID与CT扫描和异常的中性粒细胞/单细胞计数有关. 使用这些因素的预测模型显示中度准确度.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 传染性疾病 传染性疾病
- 流行病学 流行病学
背景情况:
- 长期的COVID带来了重大的健康挑战,特别是对于血液透析患者等弱势群体.
- 了解风险因素和开发长期COVID的预测工具在这个队列中对于临床管理至关重要.
研究的目的:
- 确定影响血液透析患者长期COVID发展的因素.
- 在这个特定的患者群体中构建长期COVID的预测模型.
主要方法:
- 对115名血液透析患者的回顾性审查.
- 单变量和多变量逻辑回归分析以确定风险因素.
- 接收器操作特性 (ROC) 曲线分析用于模型验证.
主要成果:
- 超过一半 (52.2%) 的患者患有长期COVID.
- 与增加风险相关的因素包括严重的COVID-19,CT检查以及异常的中性粒细胞和单细胞计数.
- 三剂COVID-19疫苗接种与降低风险有关.
结论:
- CT检查和异常的中性粒细胞/单细胞计数是血液透析患者长期COVID的重要预测因素.
- 开发的预测模型显示预测值中等 (AUC:0.738).
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