{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T11:14:33Z","timestamp":1792062873344,"version":"4.4.0"},"reference-count":17,"publisher":"Oxford University Press (OUP)","issue":"4","license":[{"start":{"date-parts":[[2020,6,3]],"date-time":"2020-06-03T00:00:00Z","timestamp":1591142400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/journals\/pages\/open_access\/funder_policies\/chorus\/standard_publication_model"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p\/>\n                  <jats:sec>\n                    <jats:title>OBJECTIVES<\/jats:title>\n                    <jats:p>The goal was to develop a scoring system to predict the 30-day mortality rate for patients undergoing surgery for acute type A aortic dissection on the basis of the German Registry for Acute Type A Aortic Dissection (GERAADA) data set and to provide a Web-based application for standard use.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS<\/jats:title>\n                    <jats:p>A total of 2537 patients enrolled in GERAADA who underwent surgery between 2006 and 2015 were analysed. Variable selection was performed using the R-package FAMoS. The robustness of the results was confirmed via the bootstrap procedure. The coefficients of the final model were used to calculate the risk score in a Web-based application.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS<\/jats:title>\n                    <jats:p>Age [odds ratio (OR) 1.018, 95% confidence interval (CI) 1.009\u20131.026; P\u2009&amp;lt;\u20090.001; 5-year OR: 1.093], need for catecholamines at referral (OR 1.732, 95% CI 1.340\u20132.232; P\u2009&amp;lt;\u20090.001), preoperative resuscitation (OR 3.051, 95% CI 2.099\u20134.441; P\u2009&amp;lt;\u20090.001), need for intubation before surgery (OR 1.949, 95% CI 1.465\u20132.585; P\u2009&amp;lt;\u20090.001), preoperative hemiparesis (OR 1.442, 95% CI 0.996\u20132.065; P\u2009=\u20090.049), coronary malperfusion (OR 1.870, 95% CI 1.386\u20132.509; P\u2009&amp;lt;\u20090.001), visceral malperfusion (OR 1.748, 95% CI 1.198\u20132.530; P\u2009=\u20090.003), dissection extension to the descending aorta (OR 1.443, 95% CI 1.120\u20131.864; P\u2009=\u20090.005) and previous cardiac surgery (OR 1.772, 95% CI 1.048\u20132.903; P\u2009=\u20090.027) were independent predictors of the 30-day mortality rate. The Web application based on the final model can be found at https:\/\/www.dgthg.de\/de\/GERAADA_Score.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS<\/jats:title>\n                    <jats:p>The GERAADA score is a simple, effective tool to predict the 30-day mortality rate for patients undergoing surgery for acute type A aortic dissection. We recommend the widespread use of this Web-based application for standard use.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1093\/ejcts\/ezaa156","type":"journal-article","created":{"date-parts":[[2020,4,10]],"date-time":"2020-04-10T07:07:51Z","timestamp":1586502471000},"page":"700-706","source":"Crossref","is-referenced-by-count":150,"title":["Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score"],"prefix":"10.1093","volume":"58","author":[{"given":"Martin","family":"Czerny","sequence":"first","affiliation":[{"name":"Department of Cardiovascular Surgery, University Heart Center Freiburg, Bad Krozingen, Germany"},{"name":"Faculty of Medicine, Albert Ludwigs University Freiburg, Freiburg, 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