The epidemiology of intestinal protozoa in the Israeli population based on molecular stool test: a nationwide study.

Stool examination using microscopy was the traditional method for the diagnosis of intestinal parasites. Recently, the use of molecular tests to identify stool protozoa has become the main tool used in most clinical laboratories in Israel. This study aimed to evaluate the prevalence of intestinal parasites in Israel and to compare this prevalence in laboratories that use molecular tests vs a laboratory that uses microscopy. Samples collected from January to October 2021 at seven laboratories were analyzed by real-time PCR (RT-PCR) or by microscopy. The multiplex panel included the following pathogens: Giardia lamblia, Entamoeba histolytica, Cryptosporidium spp., Cyclospora, Dientamoeba fragilis, and Blastocystis spp. Overall, 138,415 stool samples were tested by RT-PCR and 6,444 by microscopy. At least one protozoa species was identified in 28.4% of the PCR-tested samples compared to 4.6% of the microscopy-tested samples. D. fragilis was the most common PCR-identified species (29%). D. fragilis, G. lamblia, and Cryptosporidium spp. were mainly found in pediatric population, while Blastocystis spp. was most prevalent among adults (P < 0.001). In a sub-cohort of 21,480 samples, co-infection was found in 4,113 (19.15%) samples, with Blastocystis spp. and D. fragilis being the most common (14.9%) pair. Molecular stool testing proved more sensitive compared to microscopy. D. fragilis was the most commonly detected pathogen. The above profile was identified during the COVID pandemic when traveling was highly restricted and most likely represents the locally circulating protozoa. IMPORTANCE: This study sheds light on the prevalence of stool parasites in Israel. Additionally, this study indicates that the shift from microscope analysis to molecular tests improved protozoa diagnosis.

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

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.

Testing samples for SARS-CoV-2 is usually done on one sample at a time. However, the unprecedented demand for testing during the COVID-19 pandemic led to the adoption of pooled testing strategies, where samples are combined before being tested. This strategy requires two rounds: first, each pool of samples is tested, and then a second testing round is performed on individual samples from positive pools. We developed and implemented a pooling method for SARS-CoV-2 that requires a single round of testing, thus enabling the shorter turnaround times required during a pandemic. The method was approved for clinical use in Israel and was used to successfully test 837,138 clinical samples using fewer than a third of the tests usually required. Our study provides a blueprint for rapid implementation of efficient high-throughput testing in future pandemics.