Abstract TP217: Longitudinal Study of Young Patients With Embolic Stroke of Undetermined Source (ESUS)
Bibliographic record
Abstract
Introduction: Stroke in young adults is not rare, and can have a devastating, lasting impact. Up to 20% of patients with Embolic Stroke of Undetermined Source (ESUS) are under 50 years of age; thus, determining potential causes and outcomes in this younger cohort may significantly impact clinical practice. We aim to describe clinical, laboratory and imaging characteristics of patients between 21 and 50 years of age with ESUS; determine rates of new-onset atrial fibrillation; and investigate predictors of recurrent stroke in this unique population. Methods: This is an ongoing multi-center, international registry, which plans to prospectively enroll 500 patients between the ages of 21-50 years with ESUS 1 within 60 days. Clinical, laboratory and imaging data are documented at enrollment. Patients will be followed prospectively at 6, 12 and 18 months post-stroke via telephone interview to determine treatment and outcomes. End of enrollment is anticipated in mid-2019. Results: Majority of patients are male (63.7%), and males had a higher median age at stroke than females (43 versus 41 years, range 21-50). Figure 1 shows the geographical breakdown of recruited patients. Intravenous recombinant tissue plasminogen activator (tPA) was given to 26/146 (17.8%). Median modified Rankin Score at time of stroke was 1.0 (range 0-5.0). Table 1 contains baseline characteristics and diagnostic workup of 146/187 patients enrolled thus far. Conclusion: Demographics, stroke risk factors and recurrence rates may differ for younger patients with ESUS; thus, findings of this study could potentially shape clinical practice and ultimately improve outcomes for this at-risk population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".