Left atrial size and risk for all-cause mortality and ischemic stroke
Bibliographic record
Abstract
BACKGROUND: Limited data are available on the relation between left atrial size and outcome among patients referred for clinically indicated echocardiograms. Our aim was to assess the association of left atrial size with all-cause mortality and ischemic stroke in a large cohort of patients referred for echocardiography. METHODS: Left atrial diameter was measured in 52 639 patients aged 18 years or older (mean age 61.8 [standard deviation (SD) 16.3] years; 52.9% men) who underwent a first transthoracic echocardiogram for clinical reasons at our institution between April 1990 and March 2008. The outcomes were all-cause mortality and nonfatal ischemic stroke. RESULTS: Based on the criteria of the American Society of Echocardiography, 50.4% of the patients had no left atrial enlargement, whereas 24.5% had mild, 13.3% had moderate and 11.7% had severe left atrial enlargement. Over a mean follow-up period of 5.5 (SD 4.1) years, 12 527 patients died, and 2314 patients had a nonfatal ischemic stroke. Cumulative 10-year survival was 73.7% among patients with normal left atrial size, 62.5% among those with mild enlargement, 54.8% among those with moderate enlargement and 45% among those with severe enlargement (p < 0.001). After adjustment in multivariable Cox proportional hazard analysis, left atrial diameter remained a predictor of all-cause mortality in both sexes (hazard ratio [HR] per 1-cm increment in left atrial size 1.17, 95% confidence interval [CI] 1.12-1.22, p < 0.001 in women, and HR 1.09, 95% CI 1.05-1.13, p < 0.001 in men) and of ischemic stroke in women (HR 1.25, 95% CI 1.14-1.37, p < 0.001). INTERPRETATION: Left atrial diameter has a graded and independent association with all-cause mortality in both sexes and with ischemic stroke in women.
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 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 | 0.001 |
| 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".