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首页> 外文期刊>Frontiers in Medicine >Performance of a Point of Care Test for Detecting IgM and IgG Antibodies Against SARS-CoV-2 and Seroprevalence in Blood Donors and Health Care Workers in Panama
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Performance of a Point of Care Test for Detecting IgM and IgG Antibodies Against SARS-CoV-2 and Seroprevalence in Blood Donors and Health Care Workers in Panama

机译:检测SARS-COV-2对SARS-COV-2的IgM和IgG抗体的护理试验点和巴拿马医疗保健工作者的血液促进剂

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Novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the etiologic agent of the ongoing coronavirus disease 2019 (COVID-19) pandemic, which has reached 28 million cases worldwide in 1 year. The serological detection of antibodies against the virus will play a pivotal role in complementing molecular tests to improve diagnostic accuracy, contact tracing, vaccine efficacy testing, and seroprevalence surveillance. Here, we aimed first to evaluate a lateral flow assay's ability to identify specific IgM and IgG antibodies against SARS-CoV-2 and second, to report the seroprevalence estimates of these antibodies among health care workers and healthy volunteer blood donors in Panama. We recruited study participants between April 30th and July 7th, 2020. For the test validation and performance evaluation, we analyzed serum samples from participants with clinical symptoms and confirmed positive RT-PCR for SARS-CoV-2, and a set of pre-pandemic serum samples. We used two by two table analysis to determine the test positive and negative percentage agreement as well as the Kappa agreement value with a 95% confidence interval. Then, we used the lateral flow assay to determine seroprevalence among serum samples from COVID-19 patients, potentially exposed health care workers, and healthy volunteer donors. Our results show this assay reached a positive percent agreement of 97.2% (95% CI 84.2–100.0%) for detecting both IgM and IgG. The assay showed a Kappa of 0.898 (95%CI 0.811–0.985) and 0.918 (95% CI 0.839–0.997) for IgM and IgG, respectively. The evaluation of serum samples from hospitalized COVID-19 patients indicates a correlation between test sensitivity and the number of days since symptom onset; the highest positive percent agreement [87% (95% CI 67.0–96.3%)] was observed at ≥15 days post-symptom onset (PSO). We found an overall antibody seroprevalence of 11.6% (95% CI 8.5–15.8%) among both health care workers and healthy blood donors. Our findings suggest this lateral flow assay could contribute significantly to implementing seroprevalence testing in locations with active community transmission of SARS-CoV-2.
机译:新型严重急性呼吸综合征冠状病毒2(SARS-COV-2)是2019年正在进行的冠状病毒疾病(Covid-19)大流行病的病因试剂,其在1年内达到全球2800万个病例。抗病毒抗体的血清学检测将在补充分子试验中发挥关键作用,以提高诊断准确性,接触跟踪,疫苗疗效测试和SEROPREVALENCE监测。在这里,我们首先旨在评估侧向流动测定的能力,鉴定针对SARS-COV-2和第二次特异性IgM和IgG抗体的能力,以报告巴拿马的健康护理工作者和健康志愿者献血者之间这些抗体的Seroprevaly估计。我们招募了4月30日和7月7日之间的学习参与者。对于测试验证和绩效评估,我们分析了与参与者的血清样本,临床症状,并确认了SARS-COV-2的阳性RT-PCR,以及一组预流行血清样品。我们使用了两个表分析,以确定测试正面和负数百分比协议,以及带有95%置信区间的Kappa协议值。然后,我们使用横向流动测定来确定来自Covid-19患者的血清样本中的SEROPREVALING,可能暴露的医疗保健工作者和健康的志愿者捐赠者。我们的结果表明,该试验达到了97.2%(95%CI 84.2-100.0%)的正百分比,用于检测IgM和IgG。该测定分别显示出IgM和IgG的0.898(95%CI 0.811-0.985)和0.918(95%CI 0.839-0.997)的Kappa。从住院Covid-19患者的血清样品的评估表明测试敏感性与症状发作以来的天数之间的相关性;在症状后≥15天观察到最高的阳性百分比[87%(95%CI 67.0-96.3%)]。我们在医疗保健工作者和健康献血者中发现了11.6%(95%CI 8.5-15.8%)的整体抗体SEREVALING。我们的研究结果表明,这种侧向流动测定可以显着促进在具有活跃社区传播的SARS-COV-2的位置中实施Seroprevalence测试。

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