Exercise-based Predictors of Late Recurrence of Atrial
Fibrillation After Catheter Ablation

D 2022

Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation

HEJC, Jakub; Richard ŘEDINA; Tomáš KULÍK; Martin PEŠL; Zdeněk STÁREK et al.

Základní údaje

Originální název

Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation

Autoři

HEJC, Jakub; Richard ŘEDINA; Tomáš KULÍK; Martin PEŠL a Zdeněk STÁREK

Vydání

Tampere, 2022 Computing in Cardiology, od s. 1-4, 4 s. 2022

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

30201 Cardiac and Cardiovascular systems

Stát vydavatele

Česká republika

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Označené pro přenos do RIV

Ano

Kód RIV

RIV/00216224:14110/22:00130860

Organizační jednotka

Lékařská fakulta

ISBN

979-8-3503-0097-0

ISSN

DOI

https://doi.org/10.22489/CinC.2022.106

EID Scopus

2-s2.0-85152941527

Klíčová slova anglicky

Atrial Fibrillation; Catheter Ablation; Exercise-based Predictors

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 5. 4. 2024 08:25, Mgr. Tereza Miškechová

Anotace

V originále

Freedom from atrial fibrillation at 1 year is estimated to be between 55–80 % of patients undergoing catheter ablation. A significant number of them would require repeat procedures due to recurrent AF . Patients at higher risk for developing recurrent AF could benefit from different ablation strategies and post-ablation rhythm control therapy. We aim to identify the exercise-based risk factors associated with the first recurrence of AF between 3 and 36 months following the ablation. Patients (n=98 , 69.4 % men) referred for catheter ablation of paroxysmal AF underwent simultaneous arm ergometry, exercise echocardiography and invasive left atrial pressure measurements. After the index ablation procedure, follow-up visits were scheduled. The observed freedom from AF ecurrence during the follow-up was 81 %. Multivariable-adjusted Cox regression revealed the peak VO2 as the most significant predictor of late AF reccurence (hazard ratio 0.53, p<0.005) . Among analyzed parameters, the lowest prediction error was achieved by including left atrial vol{###}- ume index, left atrial pressure and peak VO2 into age and sex adjusted Cox model ( AIC=132.02 , C-statistics =0.83 ). Presence of either decreased exercise capacity or elevated left atrial pressure is able to identify patients with potentially impaired left atrial function and different clinical outcome after conventional pulmonary vein isolation.

Návaznosti

MUNI/A/1462/2021, interní kód MU

Název: Nové zobrazovací, výpočetní a analytické metody v diagnostice a monitoraci kardiovaskulárních onemocnění

Investor: Masarykova univerzita, Nové zobrazovací, výpočetní a analytické metody v diagnostice a monitoraci kardiovaskulárních onemocnění

Přiložené soubory

Exercise-based_Predictors_of_Late_Recurrence_of_Atrial_Fibrillation_After_Catheter_Ablation.pdf

Požádat o autorskou verzi souboru

Citovat

HEJC, Jakub; Richard ŘEDINA; Tomáš KULÍK; Martin PEŠL a Zdeněk STÁREK. Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation. Online. In 2022 Computing in Cardiology. Tampere: IEEE, 2022, s. 1-4. ISBN 979-8-3503-0097-0. Dostupné z: https://doi.org/10.22489/CinC.2022.106.

@inproceedings{2286923,
   author = {Hejc, Jakub and Ředina, Richard and Kulík, Tomáš and Pešl, Martin and Stárek, Zdeněk},
   address = {Tampere},
   booktitle = {2022 Computing in Cardiology},
   doi = {https://doi.org/10.22489/CinC.2022.106},
   keywords = {Atrial Fibrillation; Catheter Ablation; Exercise-based Predictors},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Tampere},
   isbn = {979-8-3503-0097-0},
   pages = {1-4},
   publisher = {IEEE},
   title = {Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation},
   url = {https://ieeexplore.ieee.org/document/10081799},
   year = {2022}
}

TY  - CONF
ID  - 2286923
AU  - Hejc, Jakub - Ředina, Richard - Kulík, Tomáš - Pešl, Martin - Stárek, Zdeněk
PY  - 2022
TI  - Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation
PB  - IEEE
CY  - Tampere
SN  - 9798350300970
KW  - Atrial Fibrillation
KW  - Catheter Ablation
KW  - Exercise-based Predictors
UR  - https://ieeexplore.ieee.org/document/10081799
N2  - Freedom from atrial fibrillation at 1 year is estimated to be between 55–80 % of patients undergoing catheter ablation. A significant number of them would require repeat procedures due to recurrent AF . Patients at higher risk for developing recurrent AF could benefit from different ablation strategies and post-ablation rhythm control therapy. We aim to identify the exercise-based risk factors associated with the first recurrence of AF between 3 and 36 months following the ablation. Patients (n=98 , 69.4 % men) referred for catheter ablation of paroxysmal AF underwent simultaneous arm ergometry, exercise echocardiography and invasive left atrial pressure measurements. After the index ablation procedure, follow-up visits were scheduled. The observed freedom from AF ecurrence during the follow-up was 81 %. Multivariable-adjusted Cox regression revealed the peak VO2 as the most significant predictor of late AF reccurence (hazard ratio 0.53, p<0.005) . Among analyzed parameters, the lowest prediction error was achieved by including left atrial vol{###}- ume index, left atrial pressure and peak VO2 into age and sex adjusted Cox model ( AIC=132.02 , C-statistics =0.83 ). Presence of either decreased exercise capacity or elevated left atrial pressure is able to identify patients with potentially impaired left atrial function and different clinical outcome after conventional pulmonary vein isolation.
ER  -

HEJC, Jakub; Richard ŘEDINA; Tomáš KULÍK; Martin PEŠL a Zdeněk STÁREK. Exercise-based Predictors of Late Recurrence of Atrial Fibrillation After Catheter Ablation. Online. In \textit{2022 Computing in Cardiology}. Tampere: IEEE, 2022, s.~1-4. ISBN~979-8-3503-0097-0. Dostupné z: https://doi.org/10.22489/CinC.2022.106.

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