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German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center
OBJECTIVE: To test the German Aortic Valve (GAV) score at our university hospital in patients undergoing isolated aortic valve replacement (AVR). METHODS: A total of 224 patients who underwent isolated conventional AVR between January 2015 and December 2018 were included. Patients with concomitant p...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Sociedade Brasileira de Cirurgia Cardiovascular
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199986/ https://www.ncbi.nlm.nih.gov/pubmed/32369292 http://dx.doi.org/10.21470/1678-9741-2019-0373 |
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author | Rayol, Sérgio C. Sá, Michel Pompeu B. O. Cavalcanti, Luiz Rafael P. Diniz, Roberto G. S. Perazzo, Álvaro M. Escorel Neto, Antônio C. A. Zhigalov, Konstantin Ruhparwar, Arjang Weymann, Alexander Lima, Ricardo C. |
author_facet | Rayol, Sérgio C. Sá, Michel Pompeu B. O. Cavalcanti, Luiz Rafael P. Diniz, Roberto G. S. Perazzo, Álvaro M. Escorel Neto, Antônio C. A. Zhigalov, Konstantin Ruhparwar, Arjang Weymann, Alexander Lima, Ricardo C. |
author_sort | Rayol, Sérgio C. |
collection | PubMed |
description | OBJECTIVE: To test the German Aortic Valve (GAV) score at our university hospital in patients undergoing isolated aortic valve replacement (AVR). METHODS: A total of 224 patients who underwent isolated conventional AVR between January 2015 and December 2018 were included. Patients with concomitant procedures and transcatheter aortic valve implantation were excluded. Patients’ data were collected and analyzed retrospectively. Patients’ risk scores were calculated according to criteria described by GAV score. Sensitivity, specificity, and accuracy (area under the ROC curve [AUC]) were also calculated. The calibration of the model was tested by the Hosmer-Lemeshow method. RESULTS: The mortality rate was 8.04% (18 patients). The patients’ mean age was 58.2±19.3 years and 25% of them were female (56 patients). Mean GAV score was 1.73±5.86 (min: 0.0; max: 3.53). The GAV score showed excellent discriminative capacity (AUC 0.925, 95% confidence interval 0.882-0.956; P<0.001). The cutoff “1.8” turned out to be the best discriminatory point with the best combination of sensitivity (88.9%) and specificity (75.7%) to predict operative death. Hosmer-Lemeshow method revealed a P-value of 0.687, confirming a good calibration of the model. CONCLUSION: The GAV score applies to our population with high predictive accuracy. |
format | Online Article Text |
id | pubmed-7199986 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Sociedade Brasileira de Cirurgia Cardiovascular |
record_format | MEDLINE/PubMed |
spelling | pubmed-71999862020-05-08 German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center Rayol, Sérgio C. Sá, Michel Pompeu B. O. Cavalcanti, Luiz Rafael P. Diniz, Roberto G. S. Perazzo, Álvaro M. Escorel Neto, Antônio C. A. Zhigalov, Konstantin Ruhparwar, Arjang Weymann, Alexander Lima, Ricardo C. Braz J Cardiovasc Surg Original Article OBJECTIVE: To test the German Aortic Valve (GAV) score at our university hospital in patients undergoing isolated aortic valve replacement (AVR). METHODS: A total of 224 patients who underwent isolated conventional AVR between January 2015 and December 2018 were included. Patients with concomitant procedures and transcatheter aortic valve implantation were excluded. Patients’ data were collected and analyzed retrospectively. Patients’ risk scores were calculated according to criteria described by GAV score. Sensitivity, specificity, and accuracy (area under the ROC curve [AUC]) were also calculated. The calibration of the model was tested by the Hosmer-Lemeshow method. RESULTS: The mortality rate was 8.04% (18 patients). The patients’ mean age was 58.2±19.3 years and 25% of them were female (56 patients). Mean GAV score was 1.73±5.86 (min: 0.0; max: 3.53). The GAV score showed excellent discriminative capacity (AUC 0.925, 95% confidence interval 0.882-0.956; P<0.001). The cutoff “1.8” turned out to be the best discriminatory point with the best combination of sensitivity (88.9%) and specificity (75.7%) to predict operative death. Hosmer-Lemeshow method revealed a P-value of 0.687, confirming a good calibration of the model. CONCLUSION: The GAV score applies to our population with high predictive accuracy. Sociedade Brasileira de Cirurgia Cardiovascular 2020 /pmc/articles/PMC7199986/ /pubmed/32369292 http://dx.doi.org/10.21470/1678-9741-2019-0373 Text en http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Rayol, Sérgio C. Sá, Michel Pompeu B. O. Cavalcanti, Luiz Rafael P. Diniz, Roberto G. S. Perazzo, Álvaro M. Escorel Neto, Antônio C. A. Zhigalov, Konstantin Ruhparwar, Arjang Weymann, Alexander Lima, Ricardo C. German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title | German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title_full | German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title_fullStr | German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title_full_unstemmed | German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title_short | German Aortic Valve Score in Risk Assessment for Surgical Aortic Valve Replacement in a Brazilian Center |
title_sort | german aortic valve score in risk assessment for surgical aortic valve replacement in a brazilian center |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7199986/ https://www.ncbi.nlm.nih.gov/pubmed/32369292 http://dx.doi.org/10.21470/1678-9741-2019-0373 |
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