对测定性能进行统计调整对SARS-CoV-2血清监测研究的推断的影响
Jiacheng Chen1, Yuan Yu1, Sheila F O'Brien2,3
1School of Population and Global Health, McGill University, Montreal, Canada.
American journal of epidemiology
|July 23, 2025
概括
选择不同的SARS-CoV-2抗体测试会影响人口血清流行率的估计. 基于回归的调整提高了使用不同免疫试验的研究之间的可比性,特别是核体抗体.
科学领域:
- 流行病学 流行病学
- 免疫学 免疫学 免疫学
- 生物统计学 生物统计学
背景情况:
- 免疫试验的选择显著影响了SARS-CoV-2的种群血清流行率估计.
- 后期调整对于比较研究中的估计和实现聚合分析至关重要.
研究的目的:
- 评估SARS-CoV-2免疫试验的后期调整方法.
- 提高不同测试平台之间的血清流行率估计的可比性.
主要方法:
- 利用了加拿大阿尔伯塔省2021-2023年SARS-CoV-2血清监测研究的数据.
- 罗氏和阿博特免疫测试数据进行了比较,分析了针对核体 (抗N) 和尖端 (抗S) 蛋白质的抗体.
- 使用半定量测定结果评估了罗根-格拉登和基于回归的调整.
主要成果:
- 抗N抗体的血清阳性在2022年5月之后的测试中因与感染相关的敏感性丧失而有所不同.
- 罗根-格拉登调整未能减少这种差异.
- 基于回归的调整改善了反N血清流行率和滚动发病率估计的一致性.
- 反-S抗体血清阳性在没有调整的情况下是相似的,并且对功能值的一致性没有得到改善.
结论:
- 测试性能在SARS-CoV-2 Omicron期间显著影响了人口推断.
- 使用半定量试验数据进行基于回归的调整,提高了不同免疫试验队列之间的一致性.
- 这些方法对于准确的SARS-CoV-2血清监测和了解人口免疫力至关重要.
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