National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
National Institute for Infectious Diseases Lazzaro Spallanzani IRCCS, Rome, Italy.
Int J Infect Dis. 2021 Apr;105:532-539. doi: 10.1016/j.ijid.2021.02.117. Epub 2021 Mar 3.
Limited data are available about the predictors and outcomes associated with prolonged SARS-CoV-2 RNA shedding (VS).
A retrospective study including COVID-19 patients admitted to an Italian hospital between March 1 and July 1, 2020. Predictors of viral clearance (VC) and prolonged VS from the upper respiratory tract were assessed by Poisson regression and logistic regression analyses. The causal relation between VS and clinical outcomes was evaluated through an inverse probability weighted Cox model.
The study included 536 subjects. The median duration of VS from symptoms onset was 18 days. The estimated 30-day probability of VC was 70.2%. Patients with comorbidities, lymphopenia at hospital admission, or moderate/severe respiratory disease had a lower chance of VC. The development of moderate/severe respiratory failure, delayed hospital admission after symptoms onset, baseline comorbidities, or D-dimer >1000ng/mL at admission independently predicted prolonged VS. The achievement of VC doubled the chance of clinical recovery and reduced the probability of death/mechanical ventilation.
Respiratory disease severity, comorbidities, delayed hospital admission and inflammatory markers negatively predicted VC, which resulted to be associated with better clinical outcomes. These findings highlight the importance of prompt hospitalization of symptomatic patients, especially where signs of severity or comorbidities are present.
关于与持续的 SARS-CoV-2 RNA 脱落(VS)相关的预测因素和结果,相关数据有限。
这是一项回顾性研究,纳入了 2020 年 3 月 1 日至 7 月 1 日期间在意大利一家医院住院的 COVID-19 患者。采用泊松回归和逻辑回归分析评估了从呼吸道清除病毒(VC)和上呼吸道持续 VS 的预测因素。通过逆概率加权 Cox 模型评估 VS 与临床结果之间的因果关系。
本研究共纳入 536 例患者。从症状出现到 VS 结束的中位时间为 18 天。估计 30 天 VC 的概率为 70.2%。有合并症、入院时淋巴细胞减少或中重度呼吸道疾病的患者 VC 的可能性较低。中重度呼吸衰竭、症状出现后延迟入院、基线合并症或入院时 D-二聚体>1000ng/ml 独立预测 VS 延长。达到 VC 使临床康复的机会增加了一倍,并降低了死亡/机械通气的概率。
呼吸道疾病严重程度、合并症、延迟入院和炎症标志物均预测 VC 不良,这与更好的临床结果相关。这些发现强调了对有症状患者及时住院的重要性,特别是在出现严重症状或合并症的情况下。