预测免疫受损患者持续的SARS-CoV-2泄露:一种基于概率的方法
Euijin Chang1, Jun-Won Kim2, Choi-Young Jang1
1Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
Infectious diseases (London, England)
|January 3, 2025
概括
长时间的SARS-CoV-2泄露在免疫功能低下的患者中很常见. 这项研究发现,B细胞消耗剂和病毒载荷影响病毒清除,需要为这些患者提供个性化隔离指导.
科学领域:
- 传染性疾病 传染性疾病
- 病毒学 病毒学
- 免疫学 免疫学 免疫学
背景情况:
- 缩短COVID-19的隔离期与长时间的SARS-CoV-2在免疫受损个体中的脱落形成对比.
- 了解这种群体的病毒清除是非常重要的,因为持续的流失.
研究的目的:
- 为了估计SARS-CoV-2 (严重急性呼吸系统综合征-冠状病毒-2) 清除概率在免疫受损患者.
- 识别影响病毒清除的风险因素,如过期日和特定治疗.
主要方法:
- 诊断为COVID-19的免疫功能低下患者的潜在招生 (2022年1月至2023年5月).
- 每周收集呼吸道样本以检测病毒载量和培养.
- 单变体,多变体和考克斯时间变化的比例危险模型,以确定病毒培养负转换的预测因素.
主要成果:
- 在70名患者中,69%患有血液性恶性瘤,31%患有固体器官移植.
- B细胞枯竭剂和初始病毒拷贝数量显著影响病毒培养负转化.
- 超过90%的未服用B细胞消耗剂的患者在第84天清除了病毒;那些服用这些药物的患者表现出延迟清除.
结论:
- 估计SARS-CoV-2清除概率有助于指导免疫受损患者个性化隔离决策.
- 某些子组的病毒清除延迟需要定制的隔离政策.
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