Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score
Abstract OBJECTIVES 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 st...
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| Veröffentlicht in: | European journal of cardio-thoracic surgery 2020-10, Vol.58 (4), p.700-706 |
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| creator | Czerny, Martin Siepe, Matthias Beyersdorf, Friedhelm Feisst, Manuel Gabel, Michael Pilz, Maximilian Pöling, Jochen Dohle, Daniel-Sebastian Sarvanakis, Konstantinos Luehr, Maximilian Hagl, Christian Rawa, Arif Schneider, Wilke Detter, Christian Holubec, Tomas Borger, Michael Böning, Andreas Rylski, Bartosz |
| description | Abstract
OBJECTIVES
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.
METHODS
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.
RESULTS
Age [odds ratio (OR) 1.018, 95% confidence interval (CI) 1.009–1.026; P |
| doi_str_mv | 10.1093/ejcts/ezaa156 |
| format | Article |
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OBJECTIVES
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.</description><identifier>ISSN: 1010-7940</identifier><identifier>EISSN: 1873-734X</identifier><identifier>DOI: 10.1093/ejcts/ezaa156</identifier><identifier>PMID: 32492120</identifier><language>eng</language><publisher>CARY: Oxford University Press</publisher><subject>Cardiac & Cardiovascular Systems ; Cardiovascular System & Cardiology ; Life Sciences & Biomedicine ; Respiratory System ; Science & Technology ; Surgery</subject><ispartof>European journal of cardio-thoracic surgery, 2020-10, Vol.58 (4), p.700-706</ispartof><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved. 2020</rights><rights>The Author(s) 2020. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>96</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000581623500005</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c431t-dbc8ca991dec890fe0ed200da17e044ff8a0f1f9bc4dbf3a54657cf52b6a0da73</citedby><cites>FETCH-LOGICAL-c431t-dbc8ca991dec890fe0ed200da17e044ff8a0f1f9bc4dbf3a54657cf52b6a0da73</cites><orcidid>0000-0003-2975-2751 ; 0000-0002-9685-1613 ; 0000-0003-3305-9343 ; 0000-0003-2366-0880 ; 0000-0003-4766-9775 ; 0000-0003-1046-1364</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,1586,27933,27934,28257</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32492120$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Czerny, Martin</creatorcontrib><creatorcontrib>Siepe, Matthias</creatorcontrib><creatorcontrib>Beyersdorf, Friedhelm</creatorcontrib><creatorcontrib>Feisst, Manuel</creatorcontrib><creatorcontrib>Gabel, Michael</creatorcontrib><creatorcontrib>Pilz, Maximilian</creatorcontrib><creatorcontrib>Pöling, Jochen</creatorcontrib><creatorcontrib>Dohle, Daniel-Sebastian</creatorcontrib><creatorcontrib>Sarvanakis, Konstantinos</creatorcontrib><creatorcontrib>Luehr, Maximilian</creatorcontrib><creatorcontrib>Hagl, Christian</creatorcontrib><creatorcontrib>Rawa, Arif</creatorcontrib><creatorcontrib>Schneider, Wilke</creatorcontrib><creatorcontrib>Detter, Christian</creatorcontrib><creatorcontrib>Holubec, Tomas</creatorcontrib><creatorcontrib>Borger, Michael</creatorcontrib><creatorcontrib>Böning, Andreas</creatorcontrib><creatorcontrib>Rylski, Bartosz</creatorcontrib><title>Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score</title><title>European journal of cardio-thoracic surgery</title><addtitle>EUR J CARDIO-THORAC</addtitle><addtitle>Eur J Cardiothorac Surg</addtitle><description>Abstract
OBJECTIVES
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.</description><subject>Cardiac & Cardiovascular Systems</subject><subject>Cardiovascular System & Cardiology</subject><subject>Life Sciences & Biomedicine</subject><subject>Respiratory System</subject><subject>Science & Technology</subject><subject>Surgery</subject><issn>1010-7940</issn><issn>1873-734X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkUtr3DAUhUVpaR7tstugZSE4uXr4oeyGSZoEAg0hhe6MLF-1CmNrKsmEya-v5tHJMl3pLL5zkD4R8oXBGQMlzvHJpHiOL1qzsnpHDllTi6IW8uf7nIFBUSsJB-QoxicAqASvP5IDwaXijMMhme4D9s4k50fqLR18SHrh0ooGnZC6kWoz5ZBWS6Qz2rsYcQNf0PQb6TWGQY_0AX-5mMKKWh_obFN43BZmec8Zernv0Wh8wE_kg9WLiJ935zH58e3qcX5T3H2_vp3P7gojBUtF35nGaKVYj6ZRYBGw5wC9ZjWClNY2GiyzqjOy76zQpazK2tiSd5XOVC2Oydft7jL4PxPG1A4uGlws9Ih-ii2XoCpZKeAZLbaoCT7GgLZdBjfosGoZtGvT7cZ0uzOd-ZPd9NQN2O_pf2oz0GyBZ-y8jcbhaHCP5b8oG1ZxUcI6zl3Saz1zP40pV0__v_r6SD8t37j0X0QyrE4</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Czerny, Martin</creator><creator>Siepe, Matthias</creator><creator>Beyersdorf, Friedhelm</creator><creator>Feisst, Manuel</creator><creator>Gabel, Michael</creator><creator>Pilz, Maximilian</creator><creator>Pöling, Jochen</creator><creator>Dohle, Daniel-Sebastian</creator><creator>Sarvanakis, Konstantinos</creator><creator>Luehr, Maximilian</creator><creator>Hagl, Christian</creator><creator>Rawa, Arif</creator><creator>Schneider, Wilke</creator><creator>Detter, Christian</creator><creator>Holubec, Tomas</creator><creator>Borger, Michael</creator><creator>Böning, Andreas</creator><creator>Rylski, Bartosz</creator><general>Oxford University Press</general><general>Oxford Univ Press</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2975-2751</orcidid><orcidid>https://orcid.org/0000-0002-9685-1613</orcidid><orcidid>https://orcid.org/0000-0003-3305-9343</orcidid><orcidid>https://orcid.org/0000-0003-2366-0880</orcidid><orcidid>https://orcid.org/0000-0003-4766-9775</orcidid><orcidid>https://orcid.org/0000-0003-1046-1364</orcidid></search><sort><creationdate>20201001</creationdate><title>Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score</title><author>Czerny, Martin ; Siepe, Matthias ; Beyersdorf, Friedhelm ; Feisst, Manuel ; Gabel, Michael ; Pilz, Maximilian ; Pöling, Jochen ; Dohle, Daniel-Sebastian ; Sarvanakis, Konstantinos ; Luehr, Maximilian ; Hagl, Christian ; Rawa, Arif ; Schneider, Wilke ; Detter, Christian ; Holubec, Tomas ; Borger, Michael ; Böning, Andreas ; Rylski, Bartosz</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c431t-dbc8ca991dec890fe0ed200da17e044ff8a0f1f9bc4dbf3a54657cf52b6a0da73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Cardiac & Cardiovascular Systems</topic><topic>Cardiovascular System & Cardiology</topic><topic>Life Sciences & Biomedicine</topic><topic>Respiratory System</topic><topic>Science & Technology</topic><topic>Surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Czerny, Martin</creatorcontrib><creatorcontrib>Siepe, Matthias</creatorcontrib><creatorcontrib>Beyersdorf, Friedhelm</creatorcontrib><creatorcontrib>Feisst, Manuel</creatorcontrib><creatorcontrib>Gabel, Michael</creatorcontrib><creatorcontrib>Pilz, Maximilian</creatorcontrib><creatorcontrib>Pöling, Jochen</creatorcontrib><creatorcontrib>Dohle, Daniel-Sebastian</creatorcontrib><creatorcontrib>Sarvanakis, Konstantinos</creatorcontrib><creatorcontrib>Luehr, Maximilian</creatorcontrib><creatorcontrib>Hagl, Christian</creatorcontrib><creatorcontrib>Rawa, Arif</creatorcontrib><creatorcontrib>Schneider, Wilke</creatorcontrib><creatorcontrib>Detter, Christian</creatorcontrib><creatorcontrib>Holubec, Tomas</creatorcontrib><creatorcontrib>Borger, Michael</creatorcontrib><creatorcontrib>Böning, Andreas</creatorcontrib><creatorcontrib>Rylski, Bartosz</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>European journal of cardio-thoracic surgery</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Czerny, Martin</au><au>Siepe, Matthias</au><au>Beyersdorf, Friedhelm</au><au>Feisst, Manuel</au><au>Gabel, Michael</au><au>Pilz, Maximilian</au><au>Pöling, Jochen</au><au>Dohle, Daniel-Sebastian</au><au>Sarvanakis, Konstantinos</au><au>Luehr, Maximilian</au><au>Hagl, Christian</au><au>Rawa, Arif</au><au>Schneider, Wilke</au><au>Detter, Christian</au><au>Holubec, Tomas</au><au>Borger, Michael</au><au>Böning, Andreas</au><au>Rylski, Bartosz</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score</atitle><jtitle>European journal of cardio-thoracic surgery</jtitle><stitle>EUR J CARDIO-THORAC</stitle><addtitle>Eur J Cardiothorac Surg</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>58</volume><issue>4</issue><spage>700</spage><epage>706</epage><pages>700-706</pages><issn>1010-7940</issn><eissn>1873-734X</eissn><abstract>Abstract
OBJECTIVES
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.
METHODS
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.
RESULTS
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.
CONCLUSIONS
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.</abstract><cop>CARY</cop><pub>Oxford University Press</pub><pmid>32492120</pmid><doi>10.1093/ejcts/ezaa156</doi><tpages>7</tpages><orcidid>https://orcid.org/0000-0003-2975-2751</orcidid><orcidid>https://orcid.org/0000-0002-9685-1613</orcidid><orcidid>https://orcid.org/0000-0003-3305-9343</orcidid><orcidid>https://orcid.org/0000-0003-2366-0880</orcidid><orcidid>https://orcid.org/0000-0003-4766-9775</orcidid><orcidid>https://orcid.org/0000-0003-1046-1364</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Cardiac & Cardiovascular Systems Cardiovascular System & Cardiology Life Sciences & Biomedicine Respiratory System Science & Technology Surgery |
| title | Prediction of mortality rate in acute type A dissection: the German Registry for Acute Type A Aortic Dissection score |
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