Predictors of Mortality in Patients With Lacunar Stroke in the Secondary Prevention of Small Subcortical Strokes Trial
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: The Secondary Prevention of Small Subcortical Stroke trial (SPS3) recruited participants meeting clinical and radiological criteria for symptomatic lacunes. Individuals randomized to dual antiplatelet therapy with clopidogrel and aspirin had an unanticipated increase in all-cause mortality compared with those assigned to aspirin. We investigated the factors associated with mortality in this well-characterized population. METHODS: We identified independent predictors of mortality among baseline demographic and clinical factors by Cox regression analysis in participants of the SPS3 trial. Separately, we examined the effect on mortality of nonfatal bleeding during the trial. RESULTS: During a mean follow-up of 3.6 years, the mortality rate was 1.78% per year for the 3020 participants (mean age, 63 years). Significant independent predictors of mortality at study entry were age, diabetes mellitus, history of hypertension, systolic blood pressure (hazard ratio [HR], 1.3 per 20 mm Hg increase), serum hemoglobin<13 g/dL (HR, 1.6), renal function (HR, 1.3 per estimated glomerular filtration rate decrease of 20 mL/min), and body mass index (HR, 1.8 per 10 kg/m2 decrease). Participants with ischemic heart disease (P=0.01 for interaction) and normotensive/prehypertensive participants (P=0.03 for interaction) were at increased risk if assigned to dual antiplatelet therapy. Nonfatal major hemorrhage increased mortality in both treatment arms (HR, 4.5; 95% confidence interval, 3.1-6.6; P<0.001). CONCLUSIONS: Unexpected interactions between assigned antiplatelet therapy and each of ischemic heart disease and normal/prehypertensive status accounted for increased mortality among patients with recent lacunar stroke given dual antiplatelet therapy. Despite extensive exploratory analyses, the mechanisms underlying these interactions are uncertain. CLINICAL TRIAL REGISTRATION URL: http://www.SPS3ClinicalTrials.gov. Unique identifier: NCT00059306.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".