Ischemic Stroke in Young Adults in India: Predictors of Recurrence and Functional Outcome
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Ischemic stroke (IS) in young is increasingly recognized as an important health problem in low- and middle-income countries (LMICs). Limited data is available from LMICs about the predictors of outcome and recurrence of IS in young. The study aims to assess the predictors of short-term and long-term functional outcome and the recurrence of the first-ever IS and transient ischemic attack in young. METHODS: The clinical, radiological data, functional outcome, and recurrence of 569 IS patients aged 18-50 years were recorded. The etiological classification was done. The functional outcome was assessed using the modified Rankin scale (mRS), with a good outcome being mRS 0-2. Logistic regression was used to analyze the predictors of recurrence and outcome. RESULTS: The most common risk factors were hypertension (40.3%) and diabetes mellitus (34.3%). Stroke of undetermined etiology (33.6%) was the most common etiological subtype. Among the cardioembolic subtypes, rheumatic heart disease constituted 47.4%. A good functional outcome at 1 year was seen in 76.3%. While baseline stroke severity predicted both the 3-month and 1-year functional outcome, age ≥40 years and male gender predicted poor outcome at 1 year. The risk of recurrent strokes at 1 year was 2.5%. On multiple logistic regression analysis, diabetes mellitus independently predicted recurrent vascular events at 1 year (odds ratio = 2.43, 95% confidence interval 1.07-5.50). CONCLUSIONS: We found a good functional outcome with a relatively low recurrence at 1 year among young IS patients. Baseline stroke severity, age, and male gender predicted a poor 1-year functional outcome.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".