Two-Year Vascular Event Rates in Patients with Symptomatic Cerebrovascular Disease: The REACH Registry
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Few practice-based studies have reported vascular outcome events among patients with cerebrovascular disease (CeVD). We describe 2-year vascular outcomes among symptomatic CeVD patients from the REduction of Atherothrombosis for Continued Health (REACH) Registry. METHODS: Vascular events (stroke; myocardial infarction, MI; cardiovascular death, CV death; hospitalization) were studied among symptomatic CeVD patients from a prospective cohort of stable outpatients with established atherothrombosis or ≥3 atherothrombotic risk factors. RESULTS: Of the 69,055 patients in REACH, 18,992 (28%) had symptomatic CeVD, of which outcome data were available for 18,189 patients. At 2 years, the frequency of non-fatal stroke was 5.93% (95% CI 5.22-6.64), non-fatal MI 2.21% (95% CI 1.65-2.76), CV death 4.45% (95% CI 3.66-5.22), combined vascular endpoint 11.48% (95% CI 10.46-12.49), and all deaths 7.39% (95% CI 6.34-8.42). The frequency of stroke, MI, CV death, or hospitalization for atherothrombotic events was 21.05% (95% CI 20.05-22.03). Event rates were lowest among patients with CeVD alone and highest among patients with CeVD, coronary artery disease, and peripheral artery disease. Other predictors of the primary outcome were increasing age, history of diabetes, current smoking, asymptomatic carotid stenosis, and carotid plaque. Outcomes were similar across geographical regions. CONCLUSIONS: Symptomatic CeVD patients encounter high vascular event rates despite treatment. Recurrent nonfatal stroke is more common than nonfatal MI.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".