Abstract T P149: Thoracic Aortic Calcification is Associated With Incident Stroke in the General Population in Addition to Established Risk Factors
Bibliographic record
Abstract
Background and purpose: The aorta is a major source of cerebral thromboembolism, but its role in stroke pathogenesis is not well understood due to its poor accessibility for noninvasive imaging. We examined whether thoracic aortic calcification (TAC), a marker of aortic plaque load, is associated with stroke in addition to established risk factors. Methods: A total of 3930 subjects from the population-based Heinz Nixdorf Recall study (45-75 years; 47.1% men) without previous stroke, coronary heart disease or myocardial infarction were evaluated for incident stroke events over 109.0±23.3 months. Cox proportional hazards regressions were used to examine associations with stroke of TAC in addition to established risk factors (age, sex, systolic blood pressure, LDL, HDL, diabetes, smoking) and coronary artery calcification (CAC). Results: One-hundred-and-one incident strokes occurred. Subjects suffering a stroke had significantly higher TAC values at baseline than the remaining subjects (median=83.1[Q1;Q3=4.7;472.9] vs. 15.7[0.0;117.1]; p<0.001). In a multivariable Cox proportional hazards regression, log(TAC+1) (hazards ratio=1.09 [95%-confidence interval=1.00-1.19]; p=0.044) was associated with stroke in addition to established risk factors. Further analyses revealed that log(DTAC+1), i.e., calcification of the descending aorta (1.11 [1.02-1.20]; p=0.016), but not log(ATAC+1), i.e., calcification of the ascending aorta (1.02 [0.93-1.11]; p=0.713) was associated with stroke. The hazards ratio for log(TAC+1) decreased to 1.06 (0.97-1.16; p=0.202), when log(CAC+1) was also inserted into multivariable analyses. Conclusions: Subclinical atherosclerosis of the thoracic aorta, more specifically its descending segment, is associated with stroke in addition to established risk factors.
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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) | 0.000 | 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".