Literature DB >> 34003869

Testing of four-sample pools offers resource optimization without compromising diagnostic performance of real time reverse transcriptase-PCR assay for COVID-19.

Anirudh K Singh1, Ram Kumar Nema2, Ankur Joshi3, Prem Shankar1, Sudheer Gupta2, Ashvini Kumar Yadav2, Shashwati Nema1, Bijina J Mathew1, Arti Shrivas1, Chitra Patankar1, Arun Raghuwanshi2, Ritu Pandey4, Ranu Tripathi5, Kudsia Ansari2, Kuldeep Singh1, Jogender Yadav1, Debasis Biswas1,2, Sarman Singh1.   

Abstract

Quick identification and isolation of SARS-CoV-2 infected individuals is central to managing the COVID-19 pandemic. Real time reverse transcriptase PCR (rRT-PCR) is the gold standard for COVID-19 diagnosis. However, this resource-intensive and relatively lengthy technique is not ideally suited for mass testing. While pooled testing offers substantial savings in cost and time, the size of the optimum pool that offers complete concordance with results of individualized testing remains elusive. To determine the optimum pool size, we first evaluated the utility of pool testing using simulated 5-sample pools with varying proportions of positive and negative samples. We observed that 5-sample pool testing resulted in false negativity rate of 5% when the pools contained one positive sample. We then examined the diagnostic performance of 4-sample pools in the operational setting of a diagnostic laboratory using 500 consecutive samples in 125 pools. With background prevalence of 2.4%, this 4-sample pool testing showed 100% concordance with individualized testing and resulted in 66% and 59% reduction in resource and turnaround time, respectively. Since the negative predictive value of a diagnostic test varies inversely with prevalence, we re-tested the 4-sample pooling strategy using a fresh batch of 500 samples in 125 pools when the prevalence rose to 12.7% and recorded 100% concordance and reduction in cost and turnaround time by 36% and 30%, respectively. These observations led us to conclude that 4-sample pool testing offers the optimal blend of resource optimization and diagnostic performance across difference disease prevalence settings.

Entities:  

Year:  2021        PMID: 34003869     DOI: 10.1371/journal.pone.0251891

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


  1 in total

1.  A Regional Pooling Intervention in a High-Throughput COVID-19 Diagnostic Laboratory to Enhance Throughput, Save Resources and Time Over a Period of 6 Months.

Authors:  Prerna Mandhan; Mansi Sharma; Sushmita Pandey; Neha Chandel; Nidhi Chourasia; Amit Moun; Divyani Sharma; Rubee Sukar; Niyati Singh; Shubhangi Mathur; Aarti Kotnala; Neetu Negi; Ashish Gupta; Anuj Kumar; R Suresh Kumar; Pramod Kumar; Shalini Singh
Journal:  Front Microbiol       Date:  2022-06-09       Impact factor: 6.064

  1 in total

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