Browsing by Author "Mazingi, D."

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Early Outcomes and Complications Following Cardiac Surgery in Patients Testing Positive for Coronavirus Disease 2019: An International Cohort Study
(Mosby-Elsevier, 2021) Akowuah, Enoch; Benson, Ruth A.; Caruana, Edward J.; Chetty, Govind; Edwards, John; Forlani, Stefano; Mazingi, D.
Machine Learning Risk Prediction of Mortality for Patients Undergoing Surgery With Perioperative Sars-Cov the Covidsurg Mortality Score
(Oxford Univ Press, 2021) Bravo, Laura; Nepogodiev, Dmitri; Glasbey, James C.; Li, Elizabeth; Simoes, Joana F. F.; Kamarajah, Sivesh K.; Mazingi, D.
To support the global restart of elective surgery, data from an international prospective cohort study of 8492 patients (69 countries) was analysed using artificial intelligence (machine learning techniques) to develop a predictive score for mortality in surgical patients with SARS-CoV-2. We found that patient rather than operation factors were the best predictors and used these to create the COVIDsurg Mortality Score (https://covidsurgrisk.app). Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.