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

Simple item page
dc.contributor.authorMateo Sierra, Olga
dc.date.accessioned2025-12-04T13:07:00Z
dc.date.available2025-12-04T13:07:00Z
dc.date.issued2021-11
dc.descriptionLa autoría del artículo es del grupo de Investigación: COVIDSurg Collaborative, al que pertenece Olga Mateo Sierra.
dc.description.abstractTo 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.
dc.description.departmentDepto. de Cirugía
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.sponsorshipNational Institute for Health Research (EEUU)
dc.description.sponsorshipAssociation of Coloproctology of Great Britain and Ireland
dc.description.statuspub
dc.identifier.citationCOVIDSurg Collaborative. Machine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score. Br J Surg. 2021 Nov 11;108(11):1274-1292. doi: 10.1093/bjs/znab183
dc.identifier.doi10.1093/bjs/znab183
dc.identifier.essn1365-2168
dc.identifier.issn0007-1323
dc.identifier.officialurlhttps://dx.doi.org/ 10.1093/bjs/znab183
dc.identifier.pmid34227657
dc.identifier.relatedurlhttps://academic.oup.com/bjs/article/108/11/1274/6316029?login=true#google_vignette
dc.identifier.relatedurlhttps://pubmed.ncbi.nlm.nih.gov/34227657/
dc.identifier.urihttps://hdl.handle.net/20.500.14352/128453
dc.issue.number11
dc.journal.titleBritish Journal of Surgery
dc.language.isoeng
dc.page.final1292
dc.page.initial1274
dc.publisherOxford University Press
dc.rightsAttribution 4.0 Internationalen
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.cdu616.98:578.834
dc.subject.ucmCiencias Biomédicas
dc.subject.ucmEnfermedades infecciosas
dc.subject.unesco32 Ciencias Médicas
dc.subject.unesco3205.05 Enfermedades Infecciosas
dc.titleMachine learning risk prediction of mortality for patients undergoing surgery with perioperative SARS-CoV-2: the COVIDSurg mortality score
dc.typejournal article
dc.type.hasVersionVoR
dc.volume.number108
dspace.entity.typePublication
relation.isAuthorOfPublication70e7e448-9fc4-413c-801b-163db0a204f7
relation.isAuthorOfPublication.latestForDiscovery70e7e448-9fc4-413c-801b-163db0a204f7

Download

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
2021 MACHINE LEARNIN BJS .pdf
Size:
451.67 KB
Format:
Adobe Portable Document Format
Download Download

Collections

Artículos