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Record W4280601732 · doi:10.1093/europace/euac053.209

Benefit of atrial fibrillation ablation on symptoms and quality of life does not differ between patients with paroxysmal and persistent atrial fibrillation

2022· article· en· W4280601732 on OpenAlexaboutno aff
M J Huntelaar, MJ Mulder, MJB Kemme, LHGA Hopman, H A Hauer, GJM Tahapary, C P Allaart

Bibliographic record

VenueEP Europace · 2022
Typearticle
Languageen
FieldMedicine
TopicAtrial Fibrillation Management and Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineAtrial fibrillationAblationInternal medicineCatheter ablationCardiologyPulmonary veinParoxysmal atrial fibrillationAtrial flutterQuality of life (healthcare)PopulationProspective cohort study

Abstract

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Abstract Funding Acknowledgements Type of funding sources: None. Background Indications for atrial fibrillation (AF) ablation in current ESC and ACC/HRS guidelines are different for paroxysmal and persistent AF patients. Although previous research has established that the AF recurrence rate after AF ablation is lower in paroxysmal AF patients, there is little data on differences in post-ablation improvement of quality of life (QoL) and AF-related symptoms. Purpose This study aimed to determine whether QoL and symptom improvement differ between patients with paroxysmal and persistent AF after AF ablation. Methods From December 2017 to June 2020, patients undergoing first AF ablation at a medical center were included in a prospective registry. Circumferential pulmonary vein isolation (PVI) was performed using radiofrequency ablation with a contact force-sensing catheter. Patient reported outcomes were assessed at baseline, 4 months follow-up, and 1 year follow-up using the Toronto Atrial Fibrillation Severity Scale (AFSS). The AFSS was used to quantify global well-being (scale 1-10), patient-perceived AF burden (scale 3-30), and AF symptom severity (scale 0-35). AF symptom severity was based on 7 questions (scale 0-5) leading to a 0-35 scale. AF recurrence was defined as any documented episode of AF or atrial flutter after a blanking period of 3 months. Results The study population consisted of 306 AF patients (66% paroxysmal AF, 68% male, mean age 64±8 years). AF recurrence during 1 year follow-up occurred in 29% of paroxysmal AF patients and in 42% of persistent AF patients (p=0.021). At baseline, patient perceived AF burden was lower in paroxysmal AF patients than in persistent AF patients (18.4±3.7 vs. 20.2±5.0, p=0.001), whereas symptom severity (10.6±6.5 vs. 9.9±6.7, p=0.384) and global well-being (7.1±1.5 vs. 7.3±1.4, p=0.327) were similar. Paroxysmal AF patients reported more palpitations (2.4±1.3 vs. 1.6±1.5, p<0.001) and less shortness of breath during physical activity (1.9±1.6 vs. 2.3±1.7, p=0.048) than patients with persistent AF. Significant improvements in global well-being (0.5±1.7, p<0.001), symptom severity (3.8±7.2, p<0.001), and patient-perceived AF burden (7.2±7.5, p<0.001) were found in the entire study cohort between baseline and 1 year follow-up, without differences between paroxysmal and persistent patients (Figure). Conclusion Although persistent AF patients have a higher chance of recurrent AF after AF ablation, symptom severity and QoL improve equally in paroxysmal and persistent AF patients. These results suggest that different recommendations for AF ablation to improve symptoms in paroxysmal and persistent AF patients may not be justified.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.503

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.286
Teacher spread0.243 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes1
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