Sunjaya Angela Felicia, Sunjaya Anthony Paulo
Faculty of Medicine, Tarumanagara University, Jakarta, Indonesia.
One Med Research Institute, Jakarta, Indonesia.
Disaster Med Public Health Prep. 2020 Jun;14(3):e42-e43. doi: 10.1017/dmp.2020.246. Epub 2020 Jul 14.
Diagnostic testing to identify patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays a key role to control the coronavirus disease (COVID-19) pandemic. While several countries have implemented the use of diagnostic testing in a massive scale as a cornerstone for infection control and surveillance, other countries affected by the pandemic are hampered by its limited testing capacity. Pooled testing was first introduced in the 1940s and is now used for screening in blood banks. Testing is done by pooling multiple individual samples together. Only in the case of a positive pool test would individual samples of the pool be tested, thus substantially reducing the number of tests needed. Several studies regarding their use for SARS CoV-2 have been done in the United States, Israel, and Germany. Studies have shown that an individual positive sample can still be detected in pools of up to 32 samples, and possibly even 64 samples, provided that additional polymerase chain reaction (PCR) amplification cycles are conducted with a sensitivity of 96%. Simulation studies to determine optimal pool size and pooling techniques have also been conducted. Based on these studies, pooled testing is shown to be able to detect positive samples with sufficient accuracy and can easily be used with existing equipment and personnel for population-wide screening.
诊断检测以识别感染严重急性呼吸综合征冠状病毒2(SARS-CoV-2)的患者对于控制冠状病毒病(COVID-19)大流行起着关键作用。虽然一些国家已大规模开展诊断检测,将其作为感染控制和监测的基石,但其他受疫情影响的国家却因检测能力有限而受阻。混合检测最早于20世纪40年代引入,现在用于血库筛查。检测通过将多个个体样本混合在一起进行。只有在混合检测呈阳性的情况下,才会对该混合样本中的个体样本进行检测,从而大幅减少所需的检测数量。美国、以色列和德国已开展了多项关于将其用于SARS-CoV-2检测的研究。研究表明,只要进行额外的聚合酶链反应(PCR)扩增循环,灵敏度达到96%,在多达32个样本甚至可能64个样本的混合样本中仍能检测到单个阳性样本。还进行了确定最佳混合样本大小和混合技术的模拟研究。基于这些研究,混合检测显示能够以足够的准确性检测出阳性样本,并且可以轻松地与现有设备和人员配合用于全人群筛查。