Trends in SARS-CoV-2 cycle threshold (Ct) values from nucleic acid testing predict the trajectory of COVID-19 waves

IF 3.6 3区 医学 Q1 PATHOLOGY Pathology Pub Date : 2024-04-06 DOI:10.1016/j.pathol.2024.02.004
Vishal Ahuja , Thomas Bowe , Gayle Warnock , Catherine Pitman , Dominic E. Dwyer
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Abstract

Forecasting COVID-19 waves helps with public health planning and resource allocation. Cycle threshold (Ct) values obtained from positive SARS-CoV-2 nucleic acid amplification test (NAAT) results offer limited value for individual patient management, but real-time analysis of temporal trends of aggregated Ct values may provide helpful information to predict the trajectories of COVID-19 waves in the community. Ct value trends on 59,609 SARS-CoV-2 NAAT-positive results from 574,403 tests using a single testing assay system, between September 2021 and January 2023, were examined to monitor the trend of the proportion of positive NAAT with lower Ct values (≤28) in relation to changing COVID-19 case numbers over time. We applied regression with autoregressive integrated moving average errors modelling approach to study the relation between Ct values and case counts. We also developed an insight product to monitor the temporal trends with Ct values obtained from SARS-CoV-2 NAAT-positive results. In this study, the proportion of lower Ct values preceded by a range of 7–32 days the rising population COVID-19 testing rate reflecting onset of a COVID-19 wave. Monitoring population Ct values may assist in predicting increased disease activity.

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核酸检测中的 SARS-CoV-2 周期阈值 (Ct) 值趋势预测了 COVID-19 波的轨迹
预测 COVID-19 波有助于公共卫生规划和资源分配。从SARS-CoV-2核酸扩增检测(NAAT)阳性结果中获得的周期阈值(Ct)对个体患者管理的价值有限,但对Ct总值的时间趋势进行实时分析可为预测社区COVID-19波的轨迹提供有用信息。我们研究了 2021 年 9 月至 2023 年 1 月期间使用单一检测化验系统进行的 574,403 次测试中 59,609 例 SARS-CoV-2 NAAT 阳性结果的 Ct 值趋势,以监测较低 Ct 值(≤28)的 NAAT 阳性比例与 COVID-19 病例数随时间变化的关系。我们采用了带有 ARIMA 误差模型的回归方法来研究 Ct 值与病例数之间的关系。我们还开发了一种洞察产品,用于监测从 SARS-CoV-2 NAAT 阳性结果中获得的 Ct 值的时间趋势。在这项研究中,较低 Ct 值的比例先于 COVID-19 检测率上升的人群 7-32 天,这反映了 COVID-19 浪潮的开始。监测人群 Ct 值有助于预测疾病活动的增加。
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来源期刊
Pathology
Pathology 医学-病理学
CiteScore
6.50
自引率
2.20%
发文量
459
审稿时长
54 days
期刊介绍: Published by Elsevier from 2016 Pathology is the official journal of the Royal College of Pathologists of Australasia (RCPA). It is committed to publishing peer-reviewed, original articles related to the science of pathology in its broadest sense, including anatomical pathology, chemical pathology and biochemistry, cytopathology, experimental pathology, forensic pathology and morbid anatomy, genetics, haematology, immunology and immunopathology, microbiology and molecular pathology.
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