Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score.

Journal Article (Journal Article;Multicenter Study)

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 ( Our data demonstrates that it is safe to restart a wide range of surgical services for selected patients.

Full Text

Duke Authors

Cited Authors

  • COVIDSurg Collaborative,

Published Date

  • November 11, 2021

Published In

Volume / Issue

  • 108 / 11

Start / End Page

  • 1274 - 1292

PubMed ID

  • 34227657

Pubmed Central ID

  • PMC8344569

Electronic International Standard Serial Number (EISSN)

  • 1365-2168

Digital Object Identifier (DOI)

  • 10.1093/bjs/znab183


  • eng

Conference Location

  • England