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首页> 外文期刊>Journal of Clinical Microbiology >Assessment of Sample Pooling for Clinical SARS-CoV-2 Testing
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Assessment of Sample Pooling for Clinical SARS-CoV-2 Testing

机译：评估临床SARS-COV-2测试的样品汇集

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Accommodating large increases in sample workloads has presented a major challenge to clinical laboratories during the coronavirus disease 2019 (COVID-19) pandemic. Despite the implementation of automated detection systems and previous efficiencies, including barcoding, electronic data transfer, and extensive robotics, capacities have struggled to meet the demand. ABSTRACT Accommodating large increases in sample workloads has presented a major challenge to clinical laboratories during the coronavirus disease 2019 (COVID-19) pandemic. Despite the implementation of automated detection systems and previous efficiencies, including barcoding, electronic data transfer, and extensive robotics, capacities have struggled to meet the demand. Sample pooling has been suggested as an additional strategy to address this need. The greatest concern with this approach in clinical settings is the potential for reduced sensitivity, particularly detection failures with weakly positive samples. To investigate this possibility, detection rates in pooled samples were evaluated, with a focus on pools containing weakly positive specimens. Additionally, the frequencies of occurrence of weakly positive samples during the pandemic were reviewed. Weakly positive specimens, with threshold cycle ( C _(T) ) values of 33 or higher, were detected in 95% of 60 five-sample pools but only 87% of 39 nine-sample pools. The proportion of positive samples with very low viral loads rose markedly during the first few months of the pandemic, peaking in June, decreasing thereafter, and remaining level since August. At all times, weakly positive specimens comprised a significant component of the sample population, ranging from 29% to &80% for C _(T) values above 31. In assessing the benefits of pooling strategies, however, other aspects of the testing process must be considered. Accessioning, result data management, electronic data transfer, reporting, and billing are not streamlined and may be complicated by pooling procedures. Therefore, the impact on the entire laboratory process needs to be carefully assessed prior to implementing such a strategy.
机译：在冠状病毒疾病2019（Covid-19）大流行期间，对样品工作负载的大量增加对临床实验室提出了重大挑战。尽管实施了自动检测系统和先前的效率，包括条形码，电子数据传输和广泛的机器人，但能力努力满足需求。摘要在冠状病毒疾病2019（Covid-19）大流行期间对临床实验室提供了重大挑战，对临床实验室提出了重大挑战。尽管实施了自动检测系统和先前的效率，包括条形码，电子数据传输和广泛的机器人，但能力努力满足需求。已经提出了样本汇集作为解决这种需求的额外策略。这种方法在临床环境中的最大问题是灵敏度降低的可能性，特别是具有弱阳性样品的检测失败。为了研究这种可能性，评估了汇集样品中的检测率，重点是含有弱阳性标本的池。另外，综述了大流行期间弱阳性样品的发生频率。弱阳性标本，阈值循环（C _（T））值为33或更高的值，在60个五个样本池中的95％中检测到，但只有87％的39个样品池。在大流行病的前几个月的大流行，六月达到峰值，此后减少的阳性样品的比例显着着显着，此后减少，自8月以来的剩余水平。始终，弱阳性标本包括样品群的重要组成部分，范围为29％至＆amp; 80％以上的C _（t）值。然而，在评估汇集策略的福利时，其他方面必须考虑测试过程。加入，结果数据管理，电子数据传输，报告和计费不流化，并且可以通过池过程复杂化。因此，在执行此类策略之前需要仔细评估对整个实验室过程的影响。

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