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...
Published in: | Health Science Reports |
---|---|
Main Authors: | , , , , , , , , , |
Format: | Text |
Language: | English |
Published: |
John Wiley and Sons Inc.
2021
|
Subjects: | |
Online Access: | http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102057/ http://www.ncbi.nlm.nih.gov/pubmed/33977165 https://doi.org/10.1002/hsr2.283 |
id |
ftpubmed:oai:pubmedcentral.nih.gov:8102057 |
---|---|
record_format |
openpolar |
spelling |
ftpubmed:oai:pubmedcentral.nih.gov:8102057 2023-05-15T17:39:24+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 Dahle, Gry Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Rösner, Assami 2021-05-06 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102057/ http://www.ncbi.nlm.nih.gov/pubmed/33977165 https://doi.org/10.1002/hsr2.283 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102057/ http://www.ncbi.nlm.nih.gov/pubmed/33977165 http://dx.doi.org/10.1002/hsr2.283 © 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. CC-BY-NC-ND Health Sci Rep Research Articles Text 2021 ftpubmed https://doi.org/10.1002/hsr2.283 2021-05-16T00:35:29Z 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. Text North Norway PubMed Central (PMC) Norway Health Science Reports 4 2 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Research Articles |
spellingShingle |
Research Articles Kjønås, Didrik Dahle, Gry Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Rösner, Assami Risk scores for prediction of 30‐day mortality after transcatheter aortic valve implantation: Results from a two‐center study in Norway |
topic_facet |
Research Articles |
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 |
Text |
author |
Kjønås, Didrik Dahle, Gry Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Rösner, Assami |
author_facet |
Kjønås, Didrik Dahle, Gry Schirmer, Henrik Malm, Siri Eidet, Jo Aaberge, Lars Steigen, Terje Aakhus, Svend Busund, Rolf Rösner, Assami |
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 |
John Wiley and Sons Inc. |
publishDate |
2021 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102057/ http://www.ncbi.nlm.nih.gov/pubmed/33977165 https://doi.org/10.1002/hsr2.283 |
geographic |
Norway |
geographic_facet |
Norway |
genre |
North Norway |
genre_facet |
North Norway |
op_source |
Health Sci Rep |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102057/ http://www.ncbi.nlm.nih.gov/pubmed/33977165 http://dx.doi.org/10.1002/hsr2.283 |
op_rights |
© 2021 The Authors. Health Science Reports published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
op_rightsnorm |
CC-BY-NC-ND |
op_doi |
https://doi.org/10.1002/hsr2.283 |
container_title |
Health Science Reports |
container_volume |
4 |
container_issue |
2 |
_version_ |
1766140157710303232 |