Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Charlestown, Boston, MA, USA.
Department of Medicine, Harvard Medical School, Boston, MA, USA.
BMC Infect Dis. 2021 Jun 16;21(1):580. doi: 10.1186/s12879-021-06257-7.
COVID-19 has resulted in significant morbidity and mortality worldwide. Lateral flow assays can detect anti-Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) antibodies to monitor transmission. However, standardized evaluation of their accuracy and tools to aid in interpreting results are needed.
We evaluated 20 IgG and IgM assays selected from available tests in April 2020. We evaluated the assays' performance using 56 pre-pandemic negative and 56 SARS-CoV-2-positive plasma samples, collected 10-40 days after symptom onset, confirmed by a molecular test and analyzed by an ultra-sensitive immunoassay. Finally, we developed a user-friendly web app to extrapolate the positive predictive values based on their accuracy and local prevalence.
Combined IgG + IgM sensitivities ranged from 33.9 to 94.6%, while combined specificities ranged from 92.6 to 100%. The highest sensitivities were detected in Lumiquick for IgG (98.2%), BioHit for both IgM (96.4%), and combined IgG + IgM sensitivity (94.6%). Furthermore, 11 LFAs and 8 LFAs showed perfect specificity for IgG and IgM, respectively, with 15 LFAs showing perfect combined IgG + IgM specificity. Lumiquick had the lowest estimated limit-of-detection (LOD) (0.1 μg/mL), followed by a similar LOD of 1.5 μg/mL for CareHealth, Cellex, KHB, and Vivachek.
We provide a public resource of the accuracy of select lateral flow assays with potential for home testing. The cost-effectiveness, scalable manufacturing process, and suitability for self-testing makes LFAs an attractive option for monitoring disease prevalence and assessing vaccine responsiveness. Our web tool provides an easy-to-use interface to demonstrate the impact of prevalence and test accuracy on the positive predictive values.
COVID-19 在全球范围内导致了大量的发病率和死亡率。侧向流动分析可检测抗严重急性呼吸综合征冠状病毒-2(SARS-CoV-2)抗体,以监测传播。然而,需要对其准确性进行标准化评估,并提供辅助解读结果的工具。
我们在 2020 年 4 月从现有的测试中选择了 20 种 IgG 和 IgM 分析,评估了这些分析的性能,使用了 56 份流行前阴性和 56 份 SARS-CoV-2 阳性血浆样本,这些样本在症状出现后 10-40 天采集,通过分子测试确认,并通过超敏免疫分析进行分析。最后,我们开发了一个用户友好的网络应用程序,根据其准确性和当地流行率外推阳性预测值。
联合 IgG + IgM 敏感性范围为 33.9%至 94.6%,而联合特异性范围为 92.6%至 100%。Lumiquick 的 IgG 敏感性最高(98.2%),BioHit 的 IgM 敏感性最高(96.4%),联合 IgG + IgM 敏感性最高(94.6%)。此外,11 种 LFAs 和 8 种 LFAs 分别对 IgG 和 IgM 具有完美的特异性,15 种 LFAs 对联合 IgG + IgM 具有完美的特异性。Lumiquick 的估计检测限(LOD)最低(0.1μg/mL),其次是 CareHealth、Cellex、KHB 和 Vivachek 的类似 LOD(1.5μg/mL)。
我们提供了一个公共资源,其中包含了选择的侧向流动分析的准确性,这些分析具有家庭检测的潜力。LFAs 的成本效益、可扩展的制造工艺以及适合自我检测,使其成为监测疾病流行率和评估疫苗反应性的有吸引力的选择。我们的网络工具提供了一个易于使用的界面,以展示流行率和测试准确性对阳性预测值的影响。