P.090 Risk factors and etiology of stroke in young adults: a 6-years retrospective hospital-based study, OMAN
Bibliographic record
Abstract
Background: Stroke in the young is particularly tragic because of its potential for life time disability. Although a large number of studies have been published Worldwide. Very few have looked at etiologies in the youth of the Middle East,and none have focused on Oman. Methods: Retrospective,single center study,carried out at the Royal Hospital in Muscat. Chart review identifying all patients under 50 years of age admitted for acute stroke from 2009-2014. We analyzed the detailed history,examination and brain imaging (CT or MRI) for each case. We identified 588 young patients,163 of these were excluded due to other diagnosis or absence of neuroimaging (CT or MRI). Results: Out of the 425 stroke cases,67.3% were men. IS occurred in 69.6% compared to 30.4% for HS. Hypertension was the number one risk factor for both IS and HS,with a prevalence 50.7% and 60.5% respectively. DM was the second leading risk factor,with a prevalence of 32.1% in IS and 27.1% in HS. Underlying etiologies were identified in only 35.5% of cases in IS and 29.5% in HS.Cardiac etiology and vasculopathy were commonest for IS. Aneurysm was the main underlying etiology for HS. Conclusions: IS was more frequent than HS.Hypertension and DM were the leading risk factors for both stroke subtypes. Cardioembolism and vasculopathy were the main etiologies for IS.Cerebral aneurysm for HS.
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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 | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".