Publications

Authors:

Collaborative (among collaborative group), Covidsurg; Paiella, S.; Turri, G.; Rattizzato, S.; Campagnaro, T.; Guglielmi, A.; Pedrazzani, C.; Ruzzenente, A.; Poletto, E.; Conci, S.; Casetti, L.; Fontana, M.; Salvia, R.; Malleo, G.; Esposito, A.; Landoni, L.; De Pastena, M.; Bassi, C.; Tuveri, M.; Nobile, S.; Marchegiani, G.; Bortolasi, L.

Title:

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

Year:

2021

Type of item:

Articolo in Rivista

Tipologia ANVUR:

Articolo su rivista

Language:

Inglese

Format:

A Stampa

Referee:

Sì

Name of journal:

British Journal of Surgery

ISSN of journal:

0007-1323

N° Volume:

108

Number or Folder:

11

Page numbers:

1274-1292

Keyword:

-

Short description of contents:

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.

Product ID:

126883

Handle IRIS:

11562/1065208

Last Modified:

April 20, 2025

Bibliographic citation:

Collaborative (among collaborative group), Covidsurg; Paiella, S.; Turri, G.; Rattizzato, S.; Campagnaro, T.; Guglielmi, A.; Pedrazzani, C.; Ruzzenente, A.; Poletto, E.; Conci, S.; Casetti, L.; Fontana, M.; Salvia, R.; Malleo, G.; Esposito, A.; Landoni, L.; De Pastena, M.; Bassi, C.; Tuveri, M.; Nobile, S.; Marchegiani, G.; Bortolasi, L., Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score «British Journal of Surgery» , vol. 108 , n. 11 , 2021 , pp. 1274-1292

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