Impact of dual-chamber pacing with closed loop stimulation on quality of life in patients with recurrent reflex vasovagal syncope: results of the SPAIN study
Bibliographic record
Abstract
AIMS: Reflex vasovagal syncope (VVS) is the most common cause of syncope and patients with recurrent episodes may severely impair quality of life (QoL). This pre-specified analysis evaluated whether the clinically significant reduction in syncope burden demonstrated by dual-chamber pacing with closed loop stimulation (DDD-CLS) reported in the SPAIN trial translates into improved QoL. METHODS AND RESULTS: Patients aged ≥40 years with ≥5 VVS episodes and cardioinhibitory response induced by head-up tilt testing were included. Patients were randomized 1:1 to active DDD-CLS pacing algorithm for 12 months followed by sham DDI mode for the remaining 12 months (Group A) or vice versa (Group B). QoL was assessed using the Short Form-36 (SF-36) health survey, Physical Component Score (PCS), and Mental Component Score (MCS) before randomization (baseline) and at 12- and 24-month follow-up. Fifty-four patients were enrolled from 11 participating centres. No significant carryover effect was detected for any variable, and the only period effect was observed in the vitality subdomain (P = 0.033). Mean SF-36 scores were higher in the DDD-CLS group vs. the DDI group for the eight subdomains and significantly different in physical role, bodily pain, and vitality (P < 0.05). The analysis of component summary scores indicated that DDD-CLS benefited both mental and physical components with significant differences in PCS when compared with the DDI group. CONCLUSION: Dual-chamber pacing with closed loop stimulation determined a significant and clinically relevant improvement in QoL across both mental and physical components in patients with recurrent VVS. REGISTRATION: Closed Loop Stimulation for Neuromediated Syncope (SPAIN Study); NCT01621464.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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".