严重COVID-19的临床特征和预后因素
Yun Yang1, Ziyi Huang1, Yongjian Pei1
1Department of Respiratory and Critical Care Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215004, People's Republic of China.
Infection and drug resistance
|June 30, 2025
概括
严重的COVID-19患者高白细胞 (WBC) 计数,血小板 (PLT) 计数,APACHE II评分和机械通风 (MV) 有较高的死亡风险. 这些因素的结合为COVID-19患者的结果提供了强大的预测价值.
科学领域:
- 临床医学 临床医学
- 传染性疾病 传染性疾病
- 关键护理医学 关键护理医学
背景情况:
- 新型冠状病毒疾病-2019 (COVID-19) 是一个重大的全球健康挑战,死亡率高.
- 严重的COVID-19病例在全球范围内造成了巨大的经济负担.
- 早期发现严重病例对于改善患者预后和降低死亡率至关重要.
研究的目的:
- 调查严重COVID-19患者的临床特征.
- 确定与严重COVID-19死亡率相关的预后因素.
- 为早期识别高风险严重的COVID-19病例开发一个预测模型.
主要方法:
- 从98名严重的COVID-19患者的临床数据的回顾性分析.
- 根据住院治疗结果将患者分为幸存者和非幸存者.
- 单变量和多变量逻辑回归分析以确定风险因素.
- 接收器操作特征 (ROC) 曲线分析以评估预测值.
主要成果:
- 与幸存者相比,非幸存者表现出较高的白细胞 (WBC) 计数,血小板 (PLT) 计数,APACHE II评分和中性粒细胞计数.
- 不幸存者患急性损伤 (AKI),机械呼吸 (MV) 和持续置换疗法 (CRRT) 的发生率增加.
- 预后不佳的独立风险因素包括白细胞计数升高 (AUC=0.807),PLT计数升高 (AUC=0.690),APACHE II评分 (AUC=0.761) 和MV (AUC=0.751).
- 综合风险因素显示出高预测值,AUC为0.897.
结论:
- 升高的WBC计数,PLT计数,APACHE II得分,以及需要MV是严重COVID-19中死亡率的独立预测因素.
- 这些临床指标,特别是在集体评估时,为识别高死亡风险的患者提供了强大的预测价值.
- 早期识别这些因素可以指导及时干预,以改善严重的COVID-19患者的治疗结果.
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