Abstract TP124: Mediators of the Age Effect among Patients Treated with Carotid Artery Stenting: The Carotid Revascularization Endarterectomy versus Stenting Trial (CREST)
Bibliographic record
Abstract
Background An increased risk of periprocedural stroke and death has been reported for older patients treated with carotid stenting (CAS). Selection of patients for CAS could be improved if patient or artery characteristics responsible for this higher risk could be identified. Methods The 1123 CREST patients randomized to CAS who received CAS within 30-days were analyzed. From the CREST sites, risk factors for atherosclerosis (hypertension, diabetes, and dyslipidemia) and arterial characteristics by angiography (lesion length, eccentric lesions, ulcerated lesions, and percent stenosis) were assessed. From the CREST core labs, potential mediators of the age effect included peak systolic velocity (ultrasound core, available on 853 patients) and arterial characteristics (angiographic core, available on 1042 patients, narrow/no ulcer or wide mouth, lesion location, and distal tortuosity). Mediation analysis assessed impact of adjustment for these factors on the magnitude of the estimated increased risk for CAS at older ages. Results After adjustment for sex and symptomatic status, there was a 1.72-times (95% CI: 1.26 - 2.37) increased risk of periprocedural stroke and death associated with each decade of patient age. Adjustment for lesion length as assessed in the clinical center significantly attenuated this increased risk at older ages to 1.66 (95% CI: 1.20 - 2.29, p = 0.039), an 8.3% attenuation. No other factor showed evidence as a contributor to the periprocedural increased risk of stroke and death in older patients (p > 0.10). Conclusion These data suggest that a longer carotid artery lesion length is a significant contributor to the increased risk of CAS in the elderly. However, attenuation of the age effect was modest, less than a 10% change in the hazard ratios. Other potential mediators such as tortuosity and atherosclerosis of the aortic arch and great vessels were not assessed. Non-anatomic factors that are more common with advancing age such as cerebral white matter disease and subclinical dementia were also not assessed and may play a role in how elderly patients respond to ischemic insults.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".