Association of CHA<sub>2</sub>DS<sub>2</sub>-VASc Score With Remodeling of Left Atrial Appendage Assessed by Cardiac Computed Tomography
Bibliographic record
Abstract
Background: CHA 2 DS 2 -VASc score (congestive heart failure; hypertension; ages ≥ 74 years (2 points); diabetes; stroke, transient ischemic attack, or systemic embolism (2 points); vascular disease; ages 65 - 74 years; sex (female)) is a widely used clinical scale to estimate the risk of stroke in patients with non-valvular atrial fibrillation (AF). However, the relationship between the increase in CHA 2 DS 2 -VASc score and atrial remodeling remains unsettled. Methods: Twenty-five consecutive patients undergoing cardiac computed tomography (CT) were recruited. The systolic and diastolic volumes of left atrium and left atrial appendage (LAA) were measured. Risk of stroke was estimated using the CHA 2 DS 2 -VASc score. The relationship of the CHA 2 DS 2 -VASc score with morphological and functional variables was analyzed by Pearson’s correlation. Results: A positive correlation was documented between the CHA 2 DS 2 -VASc score and systolic (r = 0.419, P = 0.037) and diastolic (r = 0.415, P = 0.039) LAA volumes. Atrial volumes and left atrial ejection fraction showed no significant correlations with CHA 2 DS 2 -VASc. Conclusions: This study shows, for the first time, a positive correlation between CHA 2 DS 2 -VASc score and LAA remodeling. Cardiol Res. 2021;12(2):126-128 doi: https://doi.org/10.14740/cr1192
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".