Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2. the COVIDSurg mortality score.pdf (485.58 kB)
Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: The COVIDSurg mortality score
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.
Funding
National Institute for Health Research (NIHR) Global Health Research Unit Grant (NIHR 16.136.79)
Association of Coloproctology of Great Britain and Ireland
Bowel & Cancer Research
Association of Upper Gastrointestinal Surgeons
British Association of Surgical Oncology
British Gynaecological Cancer Society
European Society of Coloproctology
Medtronic
NIHR Academy
The Urology Foundation
Sarcoma UK
Vascular Society for Great Britain and Ireland
Yorkshire Cancer Research
MRC Health Data Research UK (HDRUK/CFC/01), an initiative funded by UK Research and Innovation, Department of Health and Social Care (England)
Wellcome Trust 4-year studentship programme in mechanisms of inflammatory disease (MIDAS; 215182/Z/19/Z)
Bowel Research UK
History
Data Availability Statement
Data sharing requests will be considered by the management group upon written request to the corresponding author
Comments
The original article is available at https://academic.oup.com/
Published Citation
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;108(11):1274-1292.