{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,19]],"date-time":"2026-08-19T19:58:25Z","timestamp":1787169505551,"version":"build-2736575974"},"reference-count":31,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T00:00:00Z","timestamp":1681776000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":["associationofanaesthetists-publications.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Anaesthesia"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Summary<\/jats:title>\n                  <jats:p>Myocardial injury due to ischaemia within 30\u2009days of non\u2010cardiac surgery is prognostically relevant. We aimed to determine the discrimination, calibration, accuracy, sensitivity and specificity of single\u2010layer and multiple\u2010layer neural networks for myocardial injury and death within 30 postoperative days. We analysed data from 24,589 participants in the Vascular Events in Non\u2010cardiac Surgery Patients Cohort Evaluation study. Validation was performed on a randomly selected subset of the study population. Discrimination for myocardial injury by single\u2010layer vs. multiple\u2010layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.70 (0.69\u20130.72) vs. 0.71 (0.70\u20130.73) with variables available before surgical referral, p\u2009&lt;\u20090.001; 0.73 (0.72\u20130.75) vs. 0.75 (0.74\u20130.76) with additional variables available on admission, but before surgery, p\u2009&lt;\u20090.001; and 0.76 (0.75\u20130.77) vs. 0.77 (0.76\u20130.78) with the addition of subsequent variables, p\u2009&lt;\u20090.001. Discrimination for death by single\u2010layer vs. multiple\u2010layer models generated areas (95%CI) under the receiver operating characteristic curve of: 0.71 (0.66\u20130.76) vs. 0.74 (0.71\u20130.77) with variables available before surgical referral, p\u2009=\u20090.04; 0.78 (0.73\u20130.82) vs. 0.83 (0.79\u20130.86) with additional variables available on admission but before surgery, p\u2009=\u20090.01; and 0.87 (0.83\u20130.89) vs. 0.87 (0.85\u20130.90) with the addition of subsequent variables, p\u2009=\u20090.52. The accuracy of the multiple\u2010layer model for myocardial injury and death with all variables was 70% and 89%, respectively.<\/jats:p>","DOI":"10.1111\/anae.16024","type":"journal-article","created":{"date-parts":[[2023,4,18]],"date-time":"2023-04-18T09:38:25Z","timestamp":1681810705000},"page":"853-860","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Machine learning to predict myocardial injury and death after non\u2010cardiac surgery"],"prefix":"10.1111","volume":"78","author":[{"given":"J. M.","family":"Nolde","sequence":"first","affiliation":[{"name":"Dobney Hypertension Centre Royal Perth Hospital Research Foundation  Perth Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. P.","family":"Schlaich","sequence":"additional","affiliation":[{"name":"Dobney Hypertension Centre Royal Perth Hospital Research Foundation  Perth Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"D. I.","family":"Sessler","sequence":"additional","affiliation":[{"name":"Department of Outcomes Research Cleveland Clinic  Cleveland OH USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"A.","family":"Mian","sequence":"additional","affiliation":[{"name":"School of Computer Science and Software Engineering University of Western Australia  Perth Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"T. B.","family":"Corcoran","sequence":"additional","affiliation":[{"name":"Department of Anaesthesia and Pain Medicine, Royal Perth Hospital and Medical School, University of Western Australia and Department of Anaesthesiology and Peri\u2010operative Medicine, Alfred Hospital and Monash University  Melbourne Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"C. K.","family":"Chow","sequence":"additional","affiliation":[{"name":"Westmead Applied Research Centre, Faculty of Medicine and Health, University of Sydney, and Department of Cardiology, Westmead Hospital  Sydney Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"M. T. V.","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Anaesthesia and Intensive Care The Chinese University of Hong Kong  Hong Kong Special Administrative Region China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"F. 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L.","family":"Mills","sequence":"additional","affiliation":[{"name":"British Heart Foundation Centre for Cardiovascular Science University of Edinburgh and Usher Institute  Edinburgh UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P. J.","family":"Devereaux","sequence":"additional","affiliation":[{"name":"McMaster University, Faculty of Health Sciences and Population Health Research Institute  Hamilton ON Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2417-4673","authenticated-orcid":false,"given":"G. S.","family":"Hillis","sequence":"additional","affiliation":[{"name":"Medical School, University of Western Australia and Department of Cardiology, Royal Perth Hospital  Perth 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