Cargando…
Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation
BACKGROUND: The early recognition of paroxysmal atrial fibrillation (pAF) is a major clinical challenge for preventing thromboembolic events. In this prospective and multicentric study we evaluated prediction scores for the presence of pAF, calculated from non-invasive medical history and echocardio...
Autores principales: | , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166666/ https://www.ncbi.nlm.nih.gov/pubmed/33211156 http://dx.doi.org/10.1007/s00392-020-01773-z |
_version_ | 1783701542545653760 |
---|---|
author | Schmidt, Constanze Benda, Sebastian Kraft, Patricia Wiedmann, Felix Pleger, Sven Büscher, Antonius Thomas, Dierk Wachter, Rolf Schmid, Christian Eils, Roland Katus, Hugo A. Kallenberger, Stefan M. |
author_facet | Schmidt, Constanze Benda, Sebastian Kraft, Patricia Wiedmann, Felix Pleger, Sven Büscher, Antonius Thomas, Dierk Wachter, Rolf Schmid, Christian Eils, Roland Katus, Hugo A. Kallenberger, Stefan M. |
author_sort | Schmidt, Constanze |
collection | PubMed |
description | BACKGROUND: The early recognition of paroxysmal atrial fibrillation (pAF) is a major clinical challenge for preventing thromboembolic events. In this prospective and multicentric study we evaluated prediction scores for the presence of pAF, calculated from non-invasive medical history and echocardiographic parameters, in patients with unknown AF status. METHODS: The 12-parameter score with parameters age, LA diameter, aortic root diameter, LV,ESD, TDI Aʹ, heart frequency, sleep apnea, hyperlipidemia, type II diabetes, smoker, ß-blocker, catheter ablation, and the 4-parameter score with parameters age, LA diameter, aortic root diameter and TDI A’ were tested. Presence of pAF was verified by continuous electrocardiogram (ECG) monitoring for up to 21 days in 305 patients. RESULTS: The 12-parameter score correctly predicted pAF in all 34 patients, in which pAF was newly detected by ECG monitoring. The 12- and 4-parameter scores showed sensitivities of 100% and 82% (95%-CI 65%, 93%), specificities of 75% (95%-CI 70%, 80%) and 67% (95%-CI 61%, 73%), and areas under the receiver operating characteristic (ROC) curves of 0.84 (95%-CI 0.80, 0.88) and 0.81 (95%-CI 0.74, 0.87). Furthermore, properties of AF episodes and durations of ECG monitoring necessary to detect pAF were analysed. CONCLUSIONS: The prediction scores adequately detected pAF using variables readily available during routine cardiac assessment and echocardiography. The model scores, denoted as ECHO-AF scores, represent simple, highly sensitive and non-invasive tools for detecting pAF that can be easily implemented in the clinical practice and might serve as screening test to initiate further diagnostic investigations for validating the presence of pAF. GRAPHIC ABSTRACT: Prospective validation of a novel prediction model for paroxysmal atrial fibrillation based on echocardiography and medical history parameters by long-term Holter ECG [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00392-020-01773-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-8166666 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-81666662021-06-03 Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation Schmidt, Constanze Benda, Sebastian Kraft, Patricia Wiedmann, Felix Pleger, Sven Büscher, Antonius Thomas, Dierk Wachter, Rolf Schmid, Christian Eils, Roland Katus, Hugo A. Kallenberger, Stefan M. Clin Res Cardiol Original Paper BACKGROUND: The early recognition of paroxysmal atrial fibrillation (pAF) is a major clinical challenge for preventing thromboembolic events. In this prospective and multicentric study we evaluated prediction scores for the presence of pAF, calculated from non-invasive medical history and echocardiographic parameters, in patients with unknown AF status. METHODS: The 12-parameter score with parameters age, LA diameter, aortic root diameter, LV,ESD, TDI Aʹ, heart frequency, sleep apnea, hyperlipidemia, type II diabetes, smoker, ß-blocker, catheter ablation, and the 4-parameter score with parameters age, LA diameter, aortic root diameter and TDI A’ were tested. Presence of pAF was verified by continuous electrocardiogram (ECG) monitoring for up to 21 days in 305 patients. RESULTS: The 12-parameter score correctly predicted pAF in all 34 patients, in which pAF was newly detected by ECG monitoring. The 12- and 4-parameter scores showed sensitivities of 100% and 82% (95%-CI 65%, 93%), specificities of 75% (95%-CI 70%, 80%) and 67% (95%-CI 61%, 73%), and areas under the receiver operating characteristic (ROC) curves of 0.84 (95%-CI 0.80, 0.88) and 0.81 (95%-CI 0.74, 0.87). Furthermore, properties of AF episodes and durations of ECG monitoring necessary to detect pAF were analysed. CONCLUSIONS: The prediction scores adequately detected pAF using variables readily available during routine cardiac assessment and echocardiography. The model scores, denoted as ECHO-AF scores, represent simple, highly sensitive and non-invasive tools for detecting pAF that can be easily implemented in the clinical practice and might serve as screening test to initiate further diagnostic investigations for validating the presence of pAF. GRAPHIC ABSTRACT: Prospective validation of a novel prediction model for paroxysmal atrial fibrillation based on echocardiography and medical history parameters by long-term Holter ECG [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s00392-020-01773-z) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2020-11-19 2021 /pmc/articles/PMC8166666/ /pubmed/33211156 http://dx.doi.org/10.1007/s00392-020-01773-z Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Schmidt, Constanze Benda, Sebastian Kraft, Patricia Wiedmann, Felix Pleger, Sven Büscher, Antonius Thomas, Dierk Wachter, Rolf Schmid, Christian Eils, Roland Katus, Hugo A. Kallenberger, Stefan M. Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title | Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title_full | Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title_fullStr | Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title_full_unstemmed | Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title_short | Prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
title_sort | prospective multicentric validation of a novel prediction model for paroxysmal atrial fibrillation |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166666/ https://www.ncbi.nlm.nih.gov/pubmed/33211156 http://dx.doi.org/10.1007/s00392-020-01773-z |
work_keys_str_mv | AT schmidtconstanze prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT bendasebastian prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT kraftpatricia prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT wiedmannfelix prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT plegersven prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT buscherantonius prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT thomasdierk prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT wachterrolf prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT schmidchristian prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT eilsroland prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT katushugoa prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation AT kallenbergerstefanm prospectivemulticentricvalidationofanovelpredictionmodelforparoxysmalatrialfibrillation |