Prediction of mortality rate in acute type A dissection: the German registry for acute type A aortic dissection score
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.A total o...
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
3 June 2020
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| In: |
European journal of cardio-thoracic surgery
Year: 2020, Jahrgang: 58, Heft: 4, Pages: 700-706 |
| ISSN: | 1873-734X |
| DOI: | 10.1093/ejcts/ezaa156 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1093/ejcts/ezaa156 Verlag, kostenfrei, Volltext: https://academic.oup.com/ejcts/article/58/4/700/5850897 
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| Verfasserangaben: | Martin Czerny, Matthias Siepe, Friedhelm Beyersdorf, Manuel Feisst, Michael Gabel, Maximilian Pilz, Jochen Pöling, Daniel-Sebastian Dohle, Konstantinos Sarvanakis, Maximilian Luehr, Christian Hagl, Arif Rawa, Wilke Schneider, Christian Detter, Tomas Holubec, Michael Borger, Andreas Böning and Bartosz Rylski |
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| 245 | 1 | 0 | |a Prediction of mortality rate in acute type A dissection |b the German registry for acute type A aortic dissection score |c Martin Czerny, Matthias Siepe, Friedhelm Beyersdorf, Manuel Feisst, Michael Gabel, Maximilian Pilz, Jochen Pöling, Daniel-Sebastian Dohle, Konstantinos Sarvanakis, Maximilian Luehr, Christian Hagl, Arif Rawa, Wilke Schneider, Christian Detter, Tomas Holubec, Michael Borger, Andreas Böning and Bartosz Rylski |
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| 520 | |a 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.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.Age [odds ratio (OR) 1.018, 95% confidence interval (CI) 1.009-1.026; P < 0.001; 5-year OR: 1.093], need for catecholamines at referral (OR 1.732, 95% CI 1.340-2.232; P < 0.001), preoperative resuscitation (OR 3.051, 95% CI 2.099-4.441; P < 0.001), need for intubation before surgery (OR 1.949, 95% CI 1.465-2.585; P < 0.001), preoperative hemiparesis (OR 1.442, 95% CI 0.996-2.065; P = 0.049), coronary malperfusion (OR 1.870, 95% CI 1.386-2.509; P < 0.001), visceral malperfusion (OR 1.748, 95% CI 1.198-2.530; P = 0.003), dissection extension to the descending aorta (OR 1.443, 95% CI 1.120-1.864; P = 0.005) and previous cardiac surgery (OR 1.772, 95% CI 1.048-2.903; P = 0.027) 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.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. | ||
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