P272Incidence of MRI-detected brain lesions and neurocognitive function after electrical cardioversion in anticoagulated patients with persistent atrial fibrillation
Bibliographic record
Abstract
Funding Acknowledgements: The study is sponsored by the Deutsche Stiftung für Herzforschung Background: The risk for clinically apparent cerebral thromboembolism is increased after electrical cardioversion in patients with atrial fibrillation (AF). There is currently little evidence on the incidence of novel brain lesions detected with cerebral Magnetic resonance imaging (MRI) after electrical cardioversion (CV), in particular in patients treated with novel oral anticoagulants (NOAC). Aims: The aim of the study is to determine the incidence of acute novel MRI-detected brain lesions after electrical CV in patients with persistent atrial fibrillation (AF). Furthermore, neuro-cognitive examination using the National Institutes of Health Stroke Scale (NIHSS) score and the Montreal Cognitive Assessment Test (MoCA) was performed in all patients within 24 hours before CV and 3 weeks afterwards. Methods and Results: 27 consecutive patients with AF were included in this prospective study (DRKS00010460). Cerebral MRI and neuro-cognitive assessment were performed before and at 3 weeks after CV in all patients. Patients were treated with oral anticoagulation (OAC) for at least 4 weeks after CV and according to the CHA2DS2-Vasc-score thereafter. Five of 27 (18%) patients were treated with Dabigatran, 11/27 (41%) with Apixaban, 6/27 (23%) with Rivaroxaban and 5/27 with Phenprocoumon (18%). No patient developed acute novel brain lesions on cerebral-MRI at the 3-week follow-up. Neurological as well as cognitive function were similar before and 3 weeks after electrical cardioversion (MoCa score: p= 0,7, NHISS-score: p= 0,6). Conclusion: Electrical cardioversion in patients with persistent AF treated with OAC carries a low risk for the development of MRI-detected acute novel brain lesions or neurocognitive decline.
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 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) | 0.000 | 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".