Risk Factors for Stroke in the Young (18–45 Years): A Case-Control Analysis of INTERSTROKE Data from 32 Countries
Bibliographic record
Abstract
BACKGROUND: It is not clear whether conventional vascular risk factors are responsible for most strokes in patients younger than 45 years of age. Our objective was to evaluate the association of common risk factors with stroke in individuals under 45 years. METHODS: INTERSTROKE was a case-control study carried out in 32 countries between 2007 and 2015. Patients presenting within 5 days of symptom onset of a first stroke were enrolled as cases. Controls were age and sex matched to cases and had no history of stroke. Cases and controls underwent similar evaluations. Odds ratios (ORs) and population attributable risks (PARs) were calculated to determine the association of various risk factors with all stroke, ischemic stroke, and intracranial hemorrhage, for patients 45 years of age or younger. FINDINGS: 1,582 case-control pairs were included in this analysis. The mean age of this cohort was 38.5 years (SD 6.32). Overall, 71% strokes were ischemic. Cardiac causes {OR: 8.42 (95% confidence interval [CI]: 3.01-23.5)}; binge drinking of alcohol (OR: 5.44 [95% CI: 1.81-16.4]); hypertension (OR: 5.41 [95% CI: 3.40-8.58]); ApoB/ApoA1 ratio (OR: 2.74 [95% CI: 1.69-4.46]); psychosocial stress (OR: 2.33 [95% CI: 1.01-5.41]); smoking (OR: 1.85 [95% CI: 1.17-2.94]); and increased waist-to-hip ratio (OR: 1.69 [95% CI: 1.04-2.75]) were the most important risk factors for ischemic stroke in these young cases. For intracerebral hemorrhage, only hypertension (OR: 9.08 [95% CI: 5.46-15.1]) and binge drinking (OR: 4.06 [95% CI: 1.27-13.0]) were significant risk factors. The strength of association and population attributable risk (PAR) for hypertension increased with age (PAR 23.3% in those <35 years of age, 50.7% in 35-45 years of age). INTERPRETATION: Conventional risk factors such as hypertension, smoking, binge drinking of alcohol, central obesity, cardiac causes, dyslipidemia, and psychosocial stress are important risk factors for stroke in those younger than 45 years of age. Hypertension is the most significant risk factor in all age groups and across all regions and both stroke subtypes. These risk factors should be identified and modified in early adulthood to prevent strokes in young individuals.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".