Suhandynata Raymond T, Hoffman Melissa A, Kelner Michael J, McLawhon Ronald W, Reed Sharon L, Fitzgerald Robert L
Department of Pathology, UC San Diego Health, San Diego, CA.
J Appl Lab Med. 2020 Nov 1;5(6):1324-1336. doi: 10.1093/jalm/jfaa139.
COVID-19 is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel beta-coronavirus that is responsible for the 2019 coronavirus pandemic. Acute infections should be diagnosed by polymerase chain reaction (PCR) based tests, but serology tests can demonstrate previous exposure to the virus.
We compared the performance of the Diazyme, Roche, and Abbott SARS-CoV-2 serology assays using 179 negative participants to determine negative percentage agreement (NPA) and in 60 SARS-CoV-2 PCR-confirmed positive patients to determine positive percentage agreement (PPA) at 3 different time frames following a positive SARS-CoV-2 PCR result.
At ≥15 days, the PPA (95% CI) was 100 (86.3-100)% for the Diazyme IgM/IgG panel, 96.0 (79.7-99.9)% for the Roche total Ig assay, and 100 (86.3-100)% for the Abbott IgG assay. The NPA (95% CI) was 98.3 (95.2-99.7)% for the Diazyme IgM/IgG panel, 99.4 (96.9-100)% for the Roche total Ig assay, and 98.9 (96.0-99.9)% for the Abbott IgG assay. When the Roche total Ig assay was combined with either the Diazyme IgM/IgG panel or the Abbott IgG assay, the positive predictive value was 100% while the negative predictive value remained greater than 99%.
Our data demonstrates that the Diazyme, Roche, and Abbott SARS-CoV-2 serology assays have similar clinical performances. We demonstrated a low false-positive rate across all 3 platforms and observed that false positives observed on the Roche platform are unique compared to those observed on the Diazyme or Abbott assays. Using multiple platforms in tandem increases the PPVs, which is important when screening populations with low disease prevalence.
2019冠状病毒病(COVID-19)由严重急性呼吸综合征冠状病毒2(SARS-CoV-2)引起,SARS-CoV-2是一种新型β冠状病毒,引发了2019年冠状病毒大流行。急性感染应通过基于聚合酶链反应(PCR)的检测进行诊断,但血清学检测可证明既往接触过该病毒。
我们使用179名阴性参与者比较了Diazyme、罗氏和雅培SARS-CoV-2血清学检测的性能,以确定阴性百分比一致性(NPA),并在60名SARS-CoV-2 PCR确诊的阳性患者中,在SARS-CoV-2 PCR结果呈阳性后的3个不同时间框架内确定阳性百分比一致性(PPA)。
在≥15天时,Diazyme IgM/IgG检测组合的PPA(95%CI)为100(86.3-100)%,罗氏总Ig检测为96.0(79.7-99.9)%,雅培IgG检测为100(86.3-100)%。Diazyme IgM/IgG检测组合的NPA(95%CI)为98.3(95.2-99.7)%,罗氏总Ig检测为99.4(96.9-100)%,雅培IgG检测为98.9(96.0-99.9)%。当罗氏总Ig检测与Diazyme IgM/IgG检测组合或雅培IgG检测联合使用时,阳性预测值为100%,而阴性预测值仍大于99%。
我们的数据表明,Diazyme、罗氏和雅培SARS-CoV-2血清学检测具有相似临床性能。我们在所有3个平台上均显示出较低的假阳性率,并观察到罗氏平台上观察到的假阳性与Diazyme或雅培检测中观察到的假阳性不同。串联使用多个平台可提高阳性预测值,这在筛查疾病患病率较低的人群时很重要。