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Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation
BACKGROUND: To date, few risk models have been validated to predict recurrent atrial fibrillation (AF) >1 year after ablation. The SCALE-CryoAF score was previously derived to predict very late return of AF (VLRAF) >1 year following cryoballoon ablation (CBA), with strong predictive ability. I...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908502/ https://www.ncbi.nlm.nih.gov/pubmed/36754907 http://dx.doi.org/10.1007/s10840-023-01494-z |
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author | Nayak, Tanvi Peigh, Graham Chicos, Alexandru B. Arora, Rishi Kim, Susan Lin, Albert Verma, Nishant Pfenniger, Anna Patil, Kaustubha D Knight, Bradley P. Passman, Rod S. |
author_facet | Nayak, Tanvi Peigh, Graham Chicos, Alexandru B. Arora, Rishi Kim, Susan Lin, Albert Verma, Nishant Pfenniger, Anna Patil, Kaustubha D Knight, Bradley P. Passman, Rod S. |
author_sort | Nayak, Tanvi |
collection | PubMed |
description | BACKGROUND: To date, few risk models have been validated to predict recurrent atrial fibrillation (AF) >1 year after ablation. The SCALE-CryoAF score was previously derived to predict very late return of AF (VLRAF) >1 year following cryoballoon ablation (CBA), with strong predictive ability. In this study, we aim to validate the SCALE-CryoAF score for VLRAF after CBA in a novel patient cohort. METHODS: Retrospective analysis of a prospectively maintained single-center database was performed. Inclusion criteria were pulmonary vein isolation using CBA 2017-2020. Exclusion criteria included prior ablation, <1-year follow-up, lack of pre-CBA echocardiogram, additional ablation lesion sets, and documented AF recurrence 90–365 days post-CBA. The area under the curve (AUC) of SCALE-CryoAF was compared to the derivation value and other established risk models. RESULTS: Among 469 CBA performed, 241 (61% male, 62.8 ±11.7 years old) cases were included in analysis. There were 37 (15.4%) patients who developed VLRAF. Patients with VLRAF had a higher SCALE-CryoAF score (VLRAF 5.4 ± 2.7; no VLRAF 3.1 ± 2.9; p<0.001). SCALE-CryoAF was linearly associated with VLRAF (y=14.35x-11.72, R(2)=0.99), and a score > 5 had a 32.7% risk of VLRAF. The SCALE-CryoAF risk model predicted VLRAF with an AUC of 0.74, which was similar to the derivation value (AUC(derivation): 0.73) and statistically superior to MB-LATER, CHA2DS2-VASc, and CHADS(2) scores. CONCLUSIONS: The current analysis validates the ability of SCALE-CryoAF to predict VLRAF after CBA in a novel patient cohort. Patients with a high SCALE-CryoAF score should be monitored closely for recurrent AF >1 year following CBA. GRAPHICAL ABSTRACT: [Image: see text] |
format | Online Article Text |
id | pubmed-9908502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-99085022023-02-09 Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation Nayak, Tanvi Peigh, Graham Chicos, Alexandru B. Arora, Rishi Kim, Susan Lin, Albert Verma, Nishant Pfenniger, Anna Patil, Kaustubha D Knight, Bradley P. Passman, Rod S. J Interv Card Electrophysiol Article BACKGROUND: To date, few risk models have been validated to predict recurrent atrial fibrillation (AF) >1 year after ablation. The SCALE-CryoAF score was previously derived to predict very late return of AF (VLRAF) >1 year following cryoballoon ablation (CBA), with strong predictive ability. In this study, we aim to validate the SCALE-CryoAF score for VLRAF after CBA in a novel patient cohort. METHODS: Retrospective analysis of a prospectively maintained single-center database was performed. Inclusion criteria were pulmonary vein isolation using CBA 2017-2020. Exclusion criteria included prior ablation, <1-year follow-up, lack of pre-CBA echocardiogram, additional ablation lesion sets, and documented AF recurrence 90–365 days post-CBA. The area under the curve (AUC) of SCALE-CryoAF was compared to the derivation value and other established risk models. RESULTS: Among 469 CBA performed, 241 (61% male, 62.8 ±11.7 years old) cases were included in analysis. There were 37 (15.4%) patients who developed VLRAF. Patients with VLRAF had a higher SCALE-CryoAF score (VLRAF 5.4 ± 2.7; no VLRAF 3.1 ± 2.9; p<0.001). SCALE-CryoAF was linearly associated with VLRAF (y=14.35x-11.72, R(2)=0.99), and a score > 5 had a 32.7% risk of VLRAF. The SCALE-CryoAF risk model predicted VLRAF with an AUC of 0.74, which was similar to the derivation value (AUC(derivation): 0.73) and statistically superior to MB-LATER, CHA2DS2-VASc, and CHADS(2) scores. CONCLUSIONS: The current analysis validates the ability of SCALE-CryoAF to predict VLRAF after CBA in a novel patient cohort. Patients with a high SCALE-CryoAF score should be monitored closely for recurrent AF >1 year following CBA. GRAPHICAL ABSTRACT: [Image: see text] Springer US 2023-02-09 /pmc/articles/PMC9908502/ /pubmed/36754907 http://dx.doi.org/10.1007/s10840-023-01494-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Nayak, Tanvi Peigh, Graham Chicos, Alexandru B. Arora, Rishi Kim, Susan Lin, Albert Verma, Nishant Pfenniger, Anna Patil, Kaustubha D Knight, Bradley P. Passman, Rod S. Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title | Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title_full | Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title_fullStr | Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title_full_unstemmed | Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title_short | Validation of the SCALE-CryoAF risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
title_sort | validation of the scale-cryoaf risk model to predict very late return of atrial fibrillation after cryoballoon ablation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9908502/ https://www.ncbi.nlm.nih.gov/pubmed/36754907 http://dx.doi.org/10.1007/s10840-023-01494-z |
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