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High capacity clinical SARS-CoV-2 molecular testing using combinatorial pooling

Shosh Zismanov, Bar Shalem, Yulia Margolin-Miller, Dalia Rosin-Grunewald, Roy Adar, Ayelet Keren-Naus, Doron Amichay, Anat Ben-Dor, Yonat Shemer-Avni, Angel Porgador, Noam Shental, Tomer Hertz

Research output: Contribution to journalArticlepeer-review

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.

Original languageAmerican English
Article number121
JournalCOMMUNICATIONS MEDICINE
Volume4
Issue number1
DOIs
StatePublished - 1 Dec 2024

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Public Health, Environmental and Occupational Health
  • Assessment and Diagnosis
  • Internal Medicine
  • Epidemiology
  • Medicine (miscellaneous)

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