Abstract 10290: The Relationship Between Brain Derived Neurotrophic Factor (BDNF) and Symptoms Following Catheter Ablation for Paroxysmal Atrial Fibrillation (AF)- NEURO-AF Study
Bibliographic record
Abstract
Introduction: Reduced BDNF concentrations have been observed in patients with depression and heart failure, with treatment and improvement in symptoms associated with increased concentrations. AF is associated with symptoms of depression and poor Quality of Life (QoL). Hypothesis: We hypothesized that patients without AF recurrence following catheter ablation would have higher BDNF concentrations, less depression severity, and improved QoL scores. Methods: A prospective observational study was conducted. BDNF (biosensis® Rapid ™ ELISA) concentrations were performed and the Beck Depression Inventory-II (BDI-II), Short Form-36 Health Survey (SF-36) and AF Severity Scale (AFSS) were administered before and 12 weeks after catheter ablation. The primary outcome was change in BDNF blood concentrations following catheter ablation and its relationship with depression severity and AF related QoL. Results: One hundred patients with paroxysmal AF were recruited of which 98 completed the study. Eighty-nine patients were free of recurrent AF/atrial arrhythmias (AA) following catheter ablation. The baseline demographics and results are summarized in the accompanying table. Statistically significant changes were observed in BDNF concentrations, BDI scores and AFSS (perceived AF burden and symptoms) in patients without AF recurrence, after adjustments for CHADS2 score, age, and sex. The number of patients with AF recurrence were too few to make meaningful interpretation of results. Conclusions: BDNF concentrations significantly improved in subjects without AF recurrence after catheter ablation and were associated with a concomitant reduction in depression severity, perceived AF burden and symptoms of paroxysmal AF. Further research is required to determine the mechanism(s) that explain this novel association between BDNF and AF related symptoms.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".