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Prognostication of Pregnant COVID-19 Patients


“PRognostication of ObsTEtric COVID-19 paTients” (PROTECT) was a Canadian-based study that collects COVID-19 data from international sources. The study created an artificial intelligence algorithm that identifies patterns and predicts disease severity and progression in pregnant women with COVID-19. The study seeked international data from any principal investigator / group who were interested in collaborating and contributing their data. The more data that was included, the more accurate such a predictive algorithm will be. The resulting algorithm will be made publically available to benefit the global health community. Variables of interest include, but are not limited to: demographics, comorbidities, respiratory parameters, radiological results, laboratory markers and outcomes.

The study was led by Dr. Dafna Sussman and Dr. Rasha Kashef from the department of Biomedical Engineering at Toronto Metropolitan University, Dr. Joel Ray, from the Department of Medicine and Obstetrics and Gynecology at St. Michael’s Hospital (Toronto), and Drs. Wendy Whittle, Rohan D’Souza, Sebastian Hobson, Mara Sobel and John Snelgrove from the Department of Obstetrics and Gynecology at Mount Sinai Hospital (Toronto).