Real-world evaluation of the treatment yield of implantable loop recorders (ILR) in the Netherlands
Notice bibliographique
Résumé
Abstract Background Implantable loop recorders (ILRs) are invasive and expensive diagnostic tools used to determine the underlying arrhythmias associated with syncope and palpitations as well as capture atrial fibrillation (AF). The diagnostic and treatment yield from ILRs is uncertain. Prior studies indicated that 26-52% ILR patients were diagnosed with arrhythmias and 11-30% received subsequent treatment. Purpose Our primary aim was to determine the incidence of pacemaker and ICD implants within 1- and 3- years of ILR implantation. The secondary aims include 1) an evaluation of the incidence of AF ablation, 2) the identification of predictors for treatment, and 3) safety. Methods Adult patients who underwent an ILR implant in the Netherlands Heart Registration (NHR) Pacemaker and ICD registry (2018-2021) were included. The NHR device registry was linked to the ablation registry to determine the incidence of AF ablation after ILR. Incidence rates for pacemaker implants, ICD implants, AF ablations, and complications among ILR patients were reported as a proportion of ILR patients over 1- and 3- years. Predictors for treatment following an ILR were determined from multivariable logistic regression models. Results From 2018 to 2021, 11,961 patients underwent an ILR implant in the Netherlands. Patients who underwent ILR implantation were a median age 69 (IQR 56-77) years, 46.9% female, and 24.9% had AF. The most frequent indication for ILR implantation was syncope (76.2%), followed by palpitations (15.2%). At 1- and 3-years post-ILR implantation, 12.0% and 14.6% of ILR patients underwent a pacemaker implant, respectively (Figure 1). Fewer patients underwent ICD implants (0.9% and 1.3%) and AF ablation (1.3% and 1.8%) at 1- and 3-years post-ILR implantation, respectively (Figure 1). Compared to males, females were 28% and 70% less likely to undergo a pacemaker and ICD implant following ILR, respectively (Figure 2). Additional predictors for pacemaker implantation included older age, AF, and syncope (p<0.05 for all, Figure 2a). In addition to female sex, AF was a predictor of ICD implantation (Figure 2b). The incidence of complications was relatively low (0.3%). Infection was the most frequent complication (0.2%), followed by device dislocation (0.06%), bleeding (0.02%), and device defect (0.01%). Conclusion Despite the benefits of ILRs for long-term remote monitoring, the therapeutic yield of ILRs is relatively low with 14.6%, 1.3%, and 1.8% of ILR patients undergoing implantation for pacemakers, ICDs, and AF ablation at 3-years follow-up. As an expensive and invasive diagnostic tool, a more targeted approach for referrals is warranted to increase the therapeutic yield of the ILRs. Further investigations are warranted to determine the diagnostic yield of ILRs, regardless of subsequent invasive therapy.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».