Arterial Hypertension and Risk of Recurrent Event in Young Ischemic Stroke Patients
Bibliographic record
Abstract
INTRODUCTION: In young patients, the cause of ischemic stroke (IS) remains often cryptogenic despite presence of traditional vascular risk factors (VRFs). Since arterial hypertension (AH) is considered the most important one, we aimed to evaluate the impact of AH and blood pressure (BP) levels after discharge on risk of recurrent IS (RIS) in young patients. METHODS: The study set consisted of acute IS patients < 50 years of age enrolled in the prospective Heart and Ischemic STrOke Relationship studY registered on ClinicalTrials.gov (NCT01541163). Cause of IS was assessed according to the ASCOD classification. RESULTS: Out of 319 enrolled patients <50 years of age (179 males, mean age 41.1 ± 7.8 years), AH was present in 120 (37.6%) of them. No difference was found in the rates of etiological subtypes of IS between patients with and without AH. Patients with AH were older, had more VRF, used more frequently antiplatelets prior IS, and had more RIS (10 vs. 1%, p = 0.002) during a follow-up (FUP) with median of 25 months. Multivariate logistic regression stepwise model showed the prior use of antiplatelets as only predictor of RIS (p = 0.011, OR: 6.125; 95% CI: 1.510-24.837). Patients with elevated BP levels on BP Holter 1 month after discharge did not have increased rate of RIS during FUP (3.8 vs. 1.7%, p = 1.000). CONCLUSION: AH occurred in 37.6% of young IS patients. Patients with AH had more frequently RIS. Prior use of antiplatelets was found only predictor of RIS in young IS patients with AH.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".