Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway
Objectives: Transcatheter aortic valve implantation (TAVI)-specific risk scores have been developed based on large registry studies. Our aim was to evaluate how both surgical and novel TAVI risk scores performed in predicting all cause 30-day mortality. In addition, we wanted to explore the validity...
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ftunivtroemsoe:oai:munin.uit.no:10037/23850 2023-05-15T17:39:23+02:00 Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway Kjønås, Didrik Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Røsner, Assami Dahle, Gry 2021-05-06 https://hdl.handle.net/10037/23850 https://doi.org/10.1002/hsr2.283 eng eng Wiley Kjønås, D. (2022). Prediction of outcome in patients with severe aortic stenosis treated with transcatheter aortic valve implantation. (Doctoral thesis). https://hdl.handle.net/10037/25298 . Health Science Reports Kjønås, Dahle G, Schirmer, Malm, Eidet, Aaberge, Steigen, Aakhus, Busund, Røsner. Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway. Health Science Reports. 2021;4 FRIDAID 1967667 doi:10.1002/hsr2.283 2398-8835 https://hdl.handle.net/10037/23850 openAccess Copyright 2021 The Author(s) Journal article Tidsskriftartikkel Peer reviewed publishedVersion 2021 ftunivtroemsoe https://doi.org/10.1002/hsr2.283 2022-06-01T22:58:57Z Objectives: Transcatheter aortic valve implantation (TAVI)-specific risk scores have been developed based on large registry studies. Our aim was to evaluate how both surgical and novel TAVI risk scores performed in predicting all cause 30-day mortality. In addition, we wanted to explore the validity of our own previously developed model in a separate and more recent cohort. Methods: The derivation cohort included patients not eligible for open surgery treated with TAVI at the University Hospital of North Norway (UNN) and Oslo University Hospital (OUS) from February 2010 through June 2013. From this cohort, a logistic prediction model (UNN/OUS) for all cause 30-day mortality was developed. The validation cohort consisted of patients not included in the derivation cohort and treated with TAVI at UNN between June 2010 and April 2017. EuroSCORE, Logistic EuroSCORE, EurosSCORE 2, STS score, German AV score, OBSERVANT score, IRRMA score, and FRANCE-2 score were calculated for both cohorts. The discriminative accuracy of each score, including our model, was evaluated by receiver operating characteristic (ROC) analysis and compared using DeLong test where P< .05 was considered statistically significant. Results: The derivation cohort consisted of 218 and the validation cohort of 241 patients. Our model showed statistically significant better accuracy than all other scores in the derivation cohort. In the validation cohort, the FRANCE-2 had a significantly higher predictive accuracy compared to all scores except the IRRMA and STS score. Our model showed similar results. Conclusion: Existing risk scores have shown limited accuracy in predicting early mortality after TAVI. Our results indicate that TAVI-specific risk scores might be useful when evaluating patients for TAVI. Article in Journal/Newspaper North Norway University of Tromsø: Munin Open Research Archive Norway Health Science Reports 4 2 |
institution |
Open Polar |
collection |
University of Tromsø: Munin Open Research Archive |
op_collection_id |
ftunivtroemsoe |
language |
English |
description |
Objectives: Transcatheter aortic valve implantation (TAVI)-specific risk scores have been developed based on large registry studies. Our aim was to evaluate how both surgical and novel TAVI risk scores performed in predicting all cause 30-day mortality. In addition, we wanted to explore the validity of our own previously developed model in a separate and more recent cohort. Methods: The derivation cohort included patients not eligible for open surgery treated with TAVI at the University Hospital of North Norway (UNN) and Oslo University Hospital (OUS) from February 2010 through June 2013. From this cohort, a logistic prediction model (UNN/OUS) for all cause 30-day mortality was developed. The validation cohort consisted of patients not included in the derivation cohort and treated with TAVI at UNN between June 2010 and April 2017. EuroSCORE, Logistic EuroSCORE, EurosSCORE 2, STS score, German AV score, OBSERVANT score, IRRMA score, and FRANCE-2 score were calculated for both cohorts. The discriminative accuracy of each score, including our model, was evaluated by receiver operating characteristic (ROC) analysis and compared using DeLong test where P< .05 was considered statistically significant. Results: The derivation cohort consisted of 218 and the validation cohort of 241 patients. Our model showed statistically significant better accuracy than all other scores in the derivation cohort. In the validation cohort, the FRANCE-2 had a significantly higher predictive accuracy compared to all scores except the IRRMA and STS score. Our model showed similar results. Conclusion: Existing risk scores have shown limited accuracy in predicting early mortality after TAVI. Our results indicate that TAVI-specific risk scores might be useful when evaluating patients for TAVI. |
format |
Article in Journal/Newspaper |
author |
Kjønås, Didrik Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Røsner, Assami Dahle, Gry |
spellingShingle |
Kjønås, Didrik Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Røsner, Assami Dahle, Gry Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
author_facet |
Kjønås, Didrik Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Røsner, Assami Dahle, Gry |
author_sort |
Kjønås, Didrik |
title |
Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
title_short |
Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
title_full |
Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
title_fullStr |
Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
title_full_unstemmed |
Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway |
title_sort |
risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: results from a two-center study in norway |
publisher |
Wiley |
publishDate |
2021 |
url |
https://hdl.handle.net/10037/23850 https://doi.org/10.1002/hsr2.283 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
North Norway |
genre_facet |
North Norway |
op_relation |
Kjønås, D. (2022). Prediction of outcome in patients with severe aortic stenosis treated with transcatheter aortic valve implantation. (Doctoral thesis). https://hdl.handle.net/10037/25298 . Health Science Reports Kjønås, Dahle G, Schirmer, Malm, Eidet, Aaberge, Steigen, Aakhus, Busund, Røsner. Risk scores for prediction of 30-day mortality after transcatheter aortic valve implantation: Results from a two-center study in Norway. Health Science Reports. 2021;4 FRIDAID 1967667 doi:10.1002/hsr2.283 2398-8835 https://hdl.handle.net/10037/23850 |
op_rights |
openAccess Copyright 2021 The Author(s) |
op_doi |
https://doi.org/10.1002/hsr2.283 |
container_title |
Health Science Reports |
container_volume |
4 |
container_issue |
2 |
_version_ |
1766140154629586944 |