Blood Pressure After Recent Stroke: Baseline Findings From the Secondary Prevention of Small Subcortical Strokes Trial
Bibliographic record
Abstract
BACKGROUND: Hypertension is the most powerful risk factor for stroke. The aim of this study was to characterize baseline blood pressure in participants in the Secondary Prevention of Small Subcortical Strokes trial. METHODS: For this cross-sectional analysis, participants were categorized by baseline systolic blood pressure (SBP) < 120, 120-139, 140-159, 160-179, and ≥ 180 mm Hg and compared on demographic and clinical characteristics. Predictors of SBP < 140 mm Hg were examined. RESULTS: Mean SBP was 143±19 mm Hg while receiving an average of 1.7 antihypertensive medications; SBP ≥ 140 mm Hg for 53% and ≥ 160 mm Hg for 18% of the 3,020 participants. Higher SBP was associated with a history of hypertension and hypertension for longer duration (both P < 0.0001). Higher SBPs were associated with more extensive white matter disease on magnetic resonance imaging (P < 0.0001). There were significant differences in entry-level SBP when participants were categorized by race and region (both P < 0.0001). Black participants were more likely to have SBP ≥ 140 mm Hg. Multivariable logistic regression showed an independent effect for region with those from Canada more likely (odds ratio = 1.7; 95% confidence interval, 1.29, 2.32) to have SBP < 140 mm Hg compared with participants from United States. CONCLUSIONS: In this cohort with symptomatic lacunar stroke, more than half had uncontrolled hypertension at approximately 2.5 months after stroke. Regional, racial, and clinical differences should be considered to improve control and prevent recurrent stroke.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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 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".