RT Journal Article
T1 Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
A1 Mateo Sierra, Olga
AB 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.
PB Oxford University Press
SN 0007-1323
YR 2021
FD 2021-11
LK https://hdl.handle.net/20.500.14352/128453
UL https://hdl.handle.net/20.500.14352/128453
LA eng
NO COVIDSurg Collaborative. Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. Br J Surg. 2021 Nov 11;108(11):1274-1292. doi: 10.1093/bjs/znab183
NO La autoría del artículo es del grupo de Investigación: COVIDSurg Collaborative, al que pertenece Olga Mateo Sierra.
NO National Institute for Health Research (EEUU)
NO Association of Coloproctology of Great Britain and Ireland
DS Docta Complutense
RD 19 mar 2026