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

COVIDSurg Collaborative; Henry George Smith; Aleksander Fjeld Haugstvedt; Maria Lovisa Jönsson

doi:10.1093/bjs/znab183

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

COVIDSurg Collaborative, Henry George Smith, Aleksander Fjeld Haugstvedt, Maria Lovisa Jönsson

Abstract

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.

Original language	English
Article number	znab183
Journal	The British journal of surgery
Volume	108
Issue number	11
Pages (from-to)	1274-1292
Number of pages	19
ISSN	0007-1323
DOIs	https://doi.org/10.1093/bjs/znab183
Publication status	Published - 11 Nov 2021

Keywords

COVID-19/mortality
Cohort Studies
Datasets as Topic
Humans
Machine Learning
Models, Statistical
Risk Assessment
SARS-CoV-2
Surgical Procedures, Operative/mortality

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10.1093/bjs/znab183

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Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. / COVIDSurg Collaborative ; Smith, Henry George ; Haugstvedt, Aleksander Fjeld et al.
In: The British journal of surgery, Vol. 108, No. 11, znab183, 11.11.2021, p. 1274-1292.

Research output: Contribution to journal › Journal article › Research › peer-review

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

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Keywords

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