ArticleAnnals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc2022
The performance of five models compared with atrial high rate episodes predicts new atrial fibrillation after cardiac implantable electronic devices implantation.
Article in Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 4 citations in OpenAlex.
- Predictors for Device-Detected Subclinical Atrial Fibrillation: An Up-to-Date Narrative Review.Journal of clinical medicine · 2026Review
- Machine learning-based prediction of atrial fibrillation in patients with atrial high-rate episodes.European journal of clinical investigation · 2026Article
- The performance of five models compared with atrial high rate episodes predicts new atrial fibrillation after cardiac implantable electronic devices implantation.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2022Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
aimsSeveral predicting models have been evaluated for new-onset atrial fibrillation (AF) in several clinical conditions, but never in patients with cardiac implantable electronic devices (CIED). We aimed to evaluate the five predicting models compared with atrial high rate episodes (AHRE) to predict new AF in patients with CIED. METHODS AND
resultsWe retrospective enrolled 470 consecutive patients with CIED and without a history of AF. The five predicting models, including CHA
conclusionsWe compared 5 predicting models for new AF in patients with CIED and without a history of AF. AHRE ≥6 min and 24 h, and HAT
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