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一种应用于观察性实验室病毒学数据的灵活回归建模方法表明,上呼吸道样本中的 SARS-CoV-2 载量随 COVID-19 流行病学而变化。

A Flexible Regression Modeling Approach Applied to Observational Laboratory Virological Data Suggests That SARS-CoV-2 Load in Upper Respiratory Tract Samples Changes with COVID-19 Epidemiology.

机构信息

Department of Biomedical Sciences for Health, University of Milan, 20133 Milan, Italy.

Department of Biomedical and Clinical Sciences (DIBIC), University of Milan, 20133 Milan, Italy.

出版信息

Viruses. 2023 Sep 23;15(10):1988. doi: 10.3390/v15101988.

DOI:10.3390/v15101988
PMID:37896765
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10610845/
Abstract

(1) Background. Exploring the evolution of SARS-CoV-2 load and clearance from the upper respiratory tract samples is important to improving COVID-19 control. Data were collected retrospectively from a laboratory dataset on SARS-CoV-2 load quantified in leftover nasal pharyngeal swabs (NPSs) collected from symptomatic/asymptomatic individuals who tested positive to SARS-CoV-2 RNA detection in the framework of testing activities for diagnostic/screening purpose during the 2020 and 2021 winter epidemic waves. (2) Methods. A Statistical approach (quantile regression and survival models for interval-censored data), novel for this kind of data, was applied. We included in the analysis SARS-CoV-2-positive adults >18 years old for whom at least two serial NPSs were collected. A total of 262 SARS-CoV-2-positive individuals and 784 NPSs were included: 193 (593 NPSs) during the 2020 winter wave (before COVID-19 vaccine introduction) and 69 (191 NPSs) during the 2021 winter wave (all COVID-19 vaccinated). We estimated the trend of the median value, as well as the 25th and 75th centiles of the viral load, from the index episode (i.e., first SARS-CoV-2-positive test) until the sixth week (2020 wave) and the third week (2021 wave). Interval censoring methods were used to evaluate the time to SARS-CoV-2 clearance (defined as Ct < 35). (3) Results. At the index episode, the median value of viral load in the 2021 winter wave was 6.25 log copies/mL (95% CI: 5.50-6.70), and the median value in the 2020 winter wave was 5.42 log copies/mL (95% CI: 4.95-5.90). In contrast, 14 days after the index episode, the median value of viral load was 3.40 log copies/mL (95% CI: 3.26-3.54) for individuals during the 2020 winter wave and 2.93 Log copies/mL (95% CI: 2.80-3.19) for those of the 2021 winter wave. A significant difference in viral load shapes was observed among age classes ( = 0.0302) and between symptomatic and asymptomatic participants ( = 0.0187) for the first wave only; the median viral load value is higher at the day of episode index for the youngest (18-39 years) as compared to the older (40-64 years and >64 years) individuals. In the 2021 epidemic, the estimated proportion of individuals who can be considered infectious (Ct < 35) was approximately half that of the 2020 wave. (4) Conclusions. In case of the emergence of new SARS-CoV-2 variants, the application of these statistical methods to the analysis of virological laboratory data may provide evidence with which to inform and promptly support public health decision-makers in the modification of COVID-19 control measures.

摘要

(1)背景:探索 SARS-CoV-2 在上呼吸道样本中的负荷和清除演变对于改善 COVID-19 控制非常重要。本研究的数据来自 SARS-CoV-2 负荷的实验室数据集,这些数据是从 2020 年和 2021 年冬季流行期间为诊断/筛查目的进行的 SARS-CoV-2 RNA 检测呈阳性的有症状/无症状个体的剩余鼻咽拭子(NPS)中收集的。(2)方法:应用了一种新的统计方法(用于区间 censored 数据的分位数回归和生存模型)。我们纳入了至少两次连续 NPS 采集的 SARS-CoV-2 阳性成人(年龄 > 18 岁)进行分析。共纳入 262 名 SARS-CoV-2 阳性个体和 784 份 NPS:2020 年冬季波(COVID-19 疫苗接种前)期间 193 名(593 份 NPS)和 2021 年冬季波(所有 COVID-19 接种者)期间 69 名(191 份 NPS)。我们从指数发作(即首次 SARS-CoV-2 阳性检测)到第 6 周(2020 波)和第 3 周(2021 波),估计了病毒载量中位数、第 25 百分位数和第 75 百分位数的趋势。区间 censoring 方法用于评估 SARS-CoV-2 清除的时间(定义为 Ct < 35)。(3)结果:在指数发作时,2021 年冬季波的病毒载量中位数为 6.25 log 拷贝/mL(95%CI:5.50-6.70),而 2020 年冬季波的病毒载量中位数为 5.42 log 拷贝/mL(95%CI:4.95-5.90)。相比之下,在指数发作后 14 天,2020 年冬季波的病毒载量中位数为 3.40 log 拷贝/mL(95%CI:3.26-3.54),而 2021 年冬季波的病毒载量中位数为 2.93 Log 拷贝/mL(95%CI:2.80-3.19)。仅在第一波中观察到病毒载量形状在年龄组( = 0.0302)和有症状与无症状参与者之间( = 0.0187)存在显著差异;对于最年轻的个体(18-39 岁),在发作日指数时的中位病毒载量值高于年龄较大的个体(40-64 岁和>64 岁)。在 2021 年流行期间,可被认为具有传染性(Ct < 35)的个体比例约为 2020 年流行的一半。(4)结论:在出现新的 SARS-CoV-2 变体的情况下,应用这些统计方法对病毒学实验室数据进行分析,可能会为公共卫生决策者及时修改 COVID-19 控制措施提供证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c04c/10610845/702fcbdacf4e/viruses-15-01988-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c04c/10610845/1bdb2e3cb1e7/viruses-15-01988-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c04c/10610845/702fcbdacf4e/viruses-15-01988-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c04c/10610845/1bdb2e3cb1e7/viruses-15-01988-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c04c/10610845/702fcbdacf4e/viruses-15-01988-g002.jpg

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