Right Heart Structure and Function after Electrical Cardioversion for Atrial Fibrillation
Bibliographic record
Abstract
INTRODUCTION: Atrial fibrillation (AF) adversely impacts right ventricular (RV) and right atrial (RA) structure and function. There are limited data on these changes after electrical cardioversion (ECV) and the relative contribution of heart rate to evaluate the immediate (1-2 h) and short-term (4-6 weeks) changes in right cardiac chamber dimensions and RV function after ECV in patients with persistent AF. METHODS: Right cardiac chamber dimensions and RV function were measured in 64 patients using transthoracic echocardiography 1-2 h before, immediately after, and 4-6 weeks after ECV. Associations between changes in right-heart measures and rhythm status at follow-up were assessed using linear regression models. RESULTS: For patients who remained in sinus rhythm 4-6 weeks after ECV (n = 48), median fractional area change (FAC) at baseline, immediately after ECV, and 4-6 weeks after ECV were 39 (Q1:35, Q3:42) %, 42 (Q1:39, Q3:46) %, 46 (Q1:43, Q3:49) % (p < 0.01); median tricuspid annular plane systolic excursion (TAPSE) values at the same time points were 18 (Q1:17, Q3:20) mm, 20 (Q1:18, Q3:23) mm, and 24 (Q1:22, Q3:26) mm (p < 0.01), respectively. There was no significant difference in RV end systolic area and RA volume index before and after ECV. However, RV end systolic area and RA volume index decreased significantly after 4-6 weeks from a median of 10 (Q1:8, Q3:13) cm2 to 8 (Q1:7, Q3:10) cm2 (p < 0.01), and from a median of 30 (Q1:24, Q3:36) mL/m2 to 24 (Q1:20, Q3:27) mL/m2 (p < 0.01). Changes in TAPSE were significantly associated with sinus rhythm at follow-up (p = 0.027), changes in FAC showed a strong trend to association with sinus rhythm (p = 0.053), and this was not true for RA measures (p = 0.64). CONCLUSIONS: Among AF patients who remained in sinus rhythm after ECV, RV function improved immediately after ECV with further improvement at 4-6 weeks following sinus rhythm restoration.
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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 | 0.003 |
| 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 | 0.001 |
| 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".