| Online-Ressource |
Verfasst von: | Czerny, Martin [VerfasserIn]  |
| Siepe, Matthias [VerfasserIn]  |
| Beyersdorf, Friedhelm [VerfasserIn]  |
| Feißt, Manuel [VerfasserIn]  |
| Gabel, Michael [VerfasserIn]  |
| Pilz, Maximilian [VerfasserIn]  |
| Pöling, Jochen [VerfasserIn]  |
| Dohle, Daniel-Sebastian [VerfasserIn]  |
| Sarvanakis, Konstantinos [VerfasserIn]  |
| Luehr, Maximilian [VerfasserIn]  |
| Hagl, Christian [VerfasserIn]  |
| Arif, Rawa [VerfasserIn]  |
| Schneider, Wilke [VerfasserIn]  |
| Detter, Christian [VerfasserIn]  |
| Holubec, Tomas [VerfasserIn]  |
| Borger, Michael [VerfasserIn]  |
| Böning, Andreas [VerfasserIn]  |
| Rylski, Bartosz [VerfasserIn]  |
Titel: | Prediction of mortality rate in acute type A dissection |
Titelzusatz: | the German registry for acute type A aortic dissection score |
Verf.angabe: | 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 |
E-Jahr: | 2020 |
Jahr: | 3 June 2020 |
Umfang: | 7 S. |
Fussnoten: | Gesehen am 07.12.2020 |
Titel Quelle: | Enthalten in: European journal of cardio-thoracic surgery |
Ort Quelle: | Oxford : Oxford Univ. Press, 1987 |
Jahr Quelle: | 2020 |
Band/Heft Quelle: | 58(2020), 4, Seite 700-706 |
ISSN Quelle: | 1873-734X |
Abstract: | 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. |
DOI: | doi:10.1093/ejcts/ezaa156 |
URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1093/ejcts/ezaa156 |
| kostenfrei: Volltext: https://academic.oup.com/ejcts/article/58/4/700/5850897 |
| DOI: https://doi.org/10.1093/ejcts/ezaa156 |
Datenträger: | Online-Ressource |
Sprache: | eng |
K10plus-PPN: | 1742182534 |
Verknüpfungen: | → Zeitschrift |
Prediction of mortality rate in acute type A dissection / Czerny, Martin [VerfasserIn]; 3 June 2020 (Online-Ressource)