血清学和呼吸系统变量的相互作用和临床影响急性COVID-19发生3个月后
Ophir Freund1, Anna Breslavsky2, Sabrina Fried3
1The Institute of Pulmonary Medicine, Tel-Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Waizman 6, Tel Aviv, Israel. ophir068@gmail.com.
Clinical and experimental medicine
|July 21, 2023
概括
血清标志物,特别是抗S抗体水平,可以帮助预测肺功能 (DLCOc) 在新冠肺炎疾病2019 (COVID-19) 发生三个月后出现症状的患者. 这一发现有助于管理长期的COVID呼吸系统问题.
科学领域:
- 免疫学 免疫学 免疫学
- 肺部病理学 肺部病理学
- 传染性疾病 传染性疾病
背景情况:
- 对于2019年新冠病毒病 (COVID-19) 后的症状患者的医疗随访对个人和医疗保健系统都带来了重大挑战.
- 在急性COVID-19后监测患者的血清标记的实用性仍然不清楚.
研究的目的:
- 调查使用血清学标记物用于急性COVID-19后患者的随访的临床影响.
- 为了确定抗体水平是否与呼吸功能和其他临床结果相关.
主要方法:
- 在感染后3个月,对275名患者进行了观察性队列研究.
- 参与者接受了肺功能测试 (PFT),血清学测试,症状问卷和胸部CT扫描.
- 使用多变量分析来评估血清学标志物与临床结果之间的关联,包括血红蛋白校正的一氧化碳扩散能力 (DLCOc).
主要成果:
- 59%的患者显示DLCOc降低 (<80%),25%的患者在CT扫描上有双边胸部异常.
- 抗S抗体水平被确定为较低DLCOc的独立预测因素 (p=0.036).
- 抗S水平与疾病严重程度,年龄和其他抗体类型 (抗核囊体,抗RBD) 相相关.
结论:
- 在COVID-19发病3个月后,有症状的患者经常会出现严重的呼吸系统问题.
- 反-S抗体水平与之前的COVID-19严重程度和肺功能受损 (DLCOc) 有关,这表明它们在患者随访中的潜在作用.
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