Abstract T P168: A Wake-up Call for Wake-up Strokes
Bibliographic record
Abstract
INTRODUCTION: Studies suggest 8%-28% of ischemic strokes present as wake-up strokes (WUS). The unknown time of symptom onset precludes these patients from approved treatments for acute ischemic stroke, but a substantial proportion of patients may be deemed candidates for treatment if other factors are considered. The aim of this study was to identify characteristics associated with clinical outcomes of WUS patients. METHODS: We retrospectively reviewed the medical record of patients with ischemic stroke admitted to a large academic medical center between January 2011 and May 2012. We identified patients with stroke symptoms upon awakening or those who were found with stroke symptoms with an unknown time of onset. Baseline demographics, stroke mechanism, presenting NIHSS, Alberta Stroke Program Early Computed Tomography Score (ASPECTS), and modified Rankin Scale (mRS) scores on discharge and at 3-month follow-up were obtained. A good outcome was defined as mRS 0-2. RESULTS: WUS patients comprised 22% (162/731) of all patients with ischemic stroke at our institution during this time period. Median age was 74 years (range 15-100), median presenting NIHSS was 5 (range 0-28), and median initial ASPECTS 10 (range 0-10). A cardioembolic mechanism was identified in 68 patients (42%). Predictors of good outcome at hospital discharge were lower initial NIHSS (3.5 versus 12.0, p<0.0001) and higher ASPECTS (9.8 versus 8.1, p=0.0002). The predictors of good outcomes at 3 months were younger age (69.1 versus 75.8, p=0.009), lower initial NIHSS (5.0 versus 12.6, p<0.0001), and higher ASPECTS (9.5 versus 8.1, p=0.0006). One hundred and eleven patients (68.5%) had initial ASPECTS of 10. Of those, 19 had NIHSS≥10 and 7 were treated with acute recanalization therapies. Four of the 7 treated patients had good outcomes, and 2 of the 12 untreated patients had good outcomes. CONCLUSIONS: Few patients with strokes of unknown onset and severe deficits have good outcomes without acute stroke treatment. Patients with NIHSS≥10 and ASPECTS 10 may be candidates for acute recanalization therapy.
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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 | 0.002 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".