Cryoballoon versus radiofrequency catheter ablation for atrial fibrillation: insights from the Netherlands Heart Registration (2013-2021)
Notice bibliographique
Résumé
Abstract Background Cryoballoon ablation has emerged as a viable alternative to radiofrequency (RF) ablation in the treatment of atrial fibrillation (AF) with catheter ablation. Randomized trials and observational studies have demonstrated no statistically significant difference in the overall safety, efficacy, and effectiveness of RF and cryoballoon technologies. Despite over a decade of cryoballoon ablation use, there is limited population-level data comparing uptake in the utilization, populations referred, complications, and rates of repeat ablation of cryoballoon versus RF ablation. Purpose Our objective was to compare the real-world temporal trends in the utilization and complication rates of cryoballoon versus RF ablation for AF in the Netherlands between 2013 and 2021. Methods The Netherlands Heart Registration was used for the present study and included all consecutive patients who underwent AF ablation at 16 hospitals in the Netherlands (2013-2021). Only patients who underwent RF or cryoballoon ablation were included. Crude, age-, and sex-standardized annual incidence rates for AF ablation were calculated. Incidence rate ratios (IRR) and temporal trends were assessed with Poisson regression models with robust variances. Multivariable logistic regressions were used to compare the incidence complications between ablation methods. Results Of 37,538 AF ablations performed in the Netherlands, 20,799 (55.4%) and 12,549 (33.4%) underwent RF and cryoballoon ablations, respectively. At index AF ablation, patients referred to cryoballoon ablation were more likely women (34.3% vs 31.9%) and more frequently treated for paroxysmal AF (76.8% vs 68.0%) compared to RF patients [cryoballoon vs RF, respectively; p<0.05 for both]. Age of patients did not differ between ablation methods [median age for both: 63 (IQR 56-69) years; p=0.9]. From 2013 to 2021, the utilization of cryoballoon ablation increased by 16% for index ablations (p<0.05; Figure 1). Further, the population-level incidence of cryoballoon ablation was similar to RF ablation for index ablations from 2016 onwards (Figure 1). Repeat ablations (n=10,511) were primarily performed with RF (91.5%). Patients with cryoballoon ablation had a reduced risk of referral for repeat ablation [aHR 0.7 (95% CI 0.6-0.7)]. After multivariable adjustment, cryoballoon ablation was a risk factor for phrenic nerve paralysis [aOR 18.6 (95% CI 9.5- 36.4)] and RF was a risk factor for cardiac tamponade [aOR 2.7 (95% CI 1.7-4.3)] and minor vascular complications [aOR 1.4 (95% CI 1.1-1.8)] for index ablation. No difference was detected for the incidence of other complications between ablation methods (Figure 2). Incidence of all complications remained stable over time (p>0.05 for both). Conclusion The utilization of cryoballoon and RF ablation has rapidly increased from 2013 to 2021 in the Netherlands. Further, cryoballoon was used as frequently as RF ablations for index AF ablation procedures from 2016 onwards.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».