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循环阈值与 SARS-CoV-2:与人口统计学特征和疾病严重程度的关系。

Cycle threshold values and SARS-CoV-2: Relationship to demographic characteristics and disease severity.

机构信息

Division of Geographic Medicine and Infectious Disease, Tufts Medical Center, Boston, Massachusetts, USA.

Tufts School of Medicine, Tufts University School of Public Health, Boston, Massachusetts, USA.

出版信息

J Med Virol. 2022 Aug;94(8):3978-3981. doi: 10.1002/jmv.27752. Epub 2022 Apr 8.

Abstract

Cycle threshold (Ct), or the number of cycles required to amplify viral RNA to a detectable level, provides an estimate of viral load. Previous studies have demonstrated mixed results in regard to the association between SARS-CoV-2 Ct from real-time reverse transcriptase PCR (rRT-PCR) testing to patient outcomes, and there is less data on the relationship between Ct and patient characteristics. This was a retrospective study of 256 patients tested at a tertiary care emergency department from March to July 2020 via nasopharyngeal rRT-PCR testing utilizing the Abbott M2000 SARS-CoV-2 assay. Kruskal-Wallis, univariable, and multivariable logistic regression were used where appropriate for analysis. There were no significant differences in Ct value by demographic characteristics including age, sex, race, or ethnicity. Ct increased with time since symptom onset (p < 0.001), and increasing Ct was associated with increased odds of severe disease (odds ratio: 1.05, 95% confidence interval: 1.0-1.11). Ct was not found to be associated with patient demographic characteristics and increasing Ct was found to be associated with increased odds of severe disease. Continued study will allow us to better comprehend the complex factors that contribute to the risk for severe outcomes due to SARS-CoV-2 infection.

摘要

循环阈值(Ct),即扩增病毒 RNA 至可检测水平所需的循环数,可提供病毒载量的估计值。先前的研究表明,实时逆转录聚合酶链反应(rRT-PCR)检测到的 SARS-CoV-2 Ct 与患者结局之间的关联存在混合结果,而关于 Ct 与患者特征之间的关系的数据较少。这是对 2020 年 3 月至 7 月在三级护理急诊部通过鼻咽 rRT-PCR 检测利用 Abbott M2000 SARS-CoV-2 检测的 256 例患者进行的回顾性研究。在适当的情况下,使用 Kruskal-Wallis、单变量和多变量逻辑回归进行分析。Ct 值在人口统计学特征(包括年龄、性别、种族或民族)方面没有显著差异。Ct 值随症状出现后时间的增加而增加(p<0.001),并且 Ct 值的增加与严重疾病的几率增加相关(优势比:1.05,95%置信区间:1.0-1.11)。未发现 Ct 与患者人口统计学特征相关,并且 Ct 值的增加与严重疾病的几率增加相关。进一步的研究将使我们能够更好地理解导致 SARS-CoV-2 感染严重结局风险的复杂因素。

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