Catheter ablation for the treatment of atrial fibrillation is associated with a reduction in health care resource utilization
Bibliographic record
Abstract
BACKGROUND: Catheter ablation (CA) is superior to antiarrhythmic therapy at reducing recurrence of atrial fibrillation (AF); however, there are limited data regarding whether this decrease translates into a reduction in health care resource utilization. OBJECTIVE: To evaluate the impact of AF ablation on long-term health care resource utilization. METHODS: A population-based cohort was constructed to include patients who underwent CA for AF in Quebec, Canada, between April 2005 and March 2011. Resource utilization was evaluated 24 months pre- and postindex CA procedure. RESULTS: In a cohort of 1,556 patients, resource utilization increased progressively over the 24-month period leading to index CA (P for trend <0.05 for hospitalizations, ER visits, outpatient visits, cardioversions, and echocardiograms). After index CA, all-cause hospitalizations, hospitalizations for AF, ER visits, cardioversions, and echocardiograms were reduced 12 months post-CA compared to 12 months prior (all-cause hospitalizations 0.8-0.6 per patient per year; hospitalizations for AF 0.4-0.3; ER visits 2.9-1.8; cardioversions 0.5-0.2; echocardiograms 0.8-0.5; P < 0.05 for all trends). Resource utilization continued to decline at 24 months post-CA (vs. 12 months prior) for all-cause hospitalizations (0.4), cardioversions (0.1), and echocardiograms (0.3) (per patient year; P < 0.05 for all trends). CONCLUSION: In conclusion, the pattern of increasing health care resource utilization preceding CA for AF reverses after CA to lower than preablation levels up to 24 months post-CA.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".