Imperial College London
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Mr Christos Kontovounisios

Faculty of Medicine, Department of Surgery & Cancer

Visiting Reader
 
 
 
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Contact

 

+44 (0)20 3315 8529c.kontovounisios

 
 
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Location

 

Chelsea and Westminster HospitalChelsea and Westminster Campus

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Summary

 

Publications

Citation

BibTex format

@article{COVIDSurg:2021:bjs/znab183,
author = {COVIDSurg, Collaborative Co-authors},
doi = {bjs/znab183},
journal = {British Journal of Surgery},
pages = {1274--1292},
title = {Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score},
url = {http://dx.doi.org/10.1093/bjs/znab183},
volume = {108},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Since the beginning of the COVID-19 pandemic tens of millions of operations have been cancelled1 as a result of excessive postoperative pulmonary complications (51.2 per cent) and mortality rates (23.8 per cent) in patients with perioperative SARS-CoV-2 infection2. There is an urgent need to restart surgery safely in order to minimize the impact of untreated non-communicable disease.As rates of SARS-CoV-2 infection in elective surgery patients range from 1–9 per cent3–8, vaccination is expected to take years to implement globally9 and preoperative screening is likely to lead to increasing numbers of SARS-CoV-2-positive patients, perioperative SARS-CoV-2 infection will remain a challenge for the foreseeable future.To inform consent and shared decision-making, a robust, globally applicable score is needed to predict individualized mortality risk for patients with perioperative SARS-CoV-2 infection. The authors aimed to develop and validate a machine learning-based risk score to predict postoperative mortality risk in patients with perioperative SARS-CoV-2 infection.
AU  - COVIDSurg,Collaborative Co-authors
DO  - bjs/znab183
EP  - 1292
PY  - 2021///
SN  - 0007-1323
SP  - 1274
TI  - Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
T2  - British Journal of Surgery
UR  - http://dx.doi.org/10.1093/bjs/znab183
UR  - https://www.ncbi.nlm.nih.gov/pubmed/34227657
UR  - http://hdl.handle.net/10044/1/91448
VL  - 108
ER  -
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