Abstract
Abstract
Background
The SARS-CoV-2 pandemic led to unprecedented testing demands, causing major testing delays globally. One strategy used for increasing testing capacity was pooled-testing, using a two-stage technique first introduced during WWII. However, such traditional pooled testing was used in practice only when positivity rates were below 2%.
Methods
Here we report the development, validation and clinical application of P-BEST - a single-stage pooled-testing strategy that was approved for clinical use in Israel.
Results
P-BEST is clinically validated using 3636 side-by-side tests and is able to correctly detect all positive samples and accurately estimate their Ct value. Following regulatory approval by the Israeli Ministry of Health, P-BEST was used in 2021 to clinically test 837,138 samples using 270,095 PCR tests - a 3.1fold reduction in the number of tests. This period includes the Alpha and Delta waves, when positivity rates exceeded 10%, rendering traditional pooling non-practical. We also describe a tablet-based solution that allows performing manual single-stage pooling in settings where liquid dispensing robots are not available.
Conclusions
Our data provides a proof-of-concept for large-scale clinical implementation of single-stage pooled-testing for continuous surveillance of multiple pathogens with reduced test costs, and as an important tool for increasing testing efficiency during pandemic outbreaks.
Funder
Ben-Gurion University of the Negev
Publisher
Springer Science and Business Media LLC
Reference17 articles.
1. Ritchie, H. et al. Coronavirus Pandemic (COVID-19). Our World in Data (2020).
2. Hasell, J. et al. A cross-country database of COVID-19 testing. Sci. Data 7, 345 (2020).
3. Barak, N. et al. Lessons from applied large-scale pooling of 133,816 SARS-CoV-2 RT-PCR tests. Sci. Transl. Med. 13, eabf2823 (2021).
4. FDA U.S Food and Drug Administration, F. D. A. Molecular-Based Diagnostic Tests Authorized for Emergency Use for Coronavirus Disease 2019 (COVID-19), (2021).
5. Shental, N. et al. Efficient high-throughput SARS-CoV-2 testing to detect asymptomatic carriers. Sci. Adv. 6, eabc5961 (2020).