Spontaneous Neurological Deterioration in Acute Cardioembolic Stroke: A Subgroup of Patients With Early Severe Prognosis
Bibliographic record
Abstract
Background : To determine clinical factors of spontaneous early neurological deterioration (END) and prognosis in a cohort of 480 consecutive patients with cardioembolic stroke (CS) without thrombolytic therapy hospitalized within 24 hours of the onset of symptoms . Methods : END was defined as a drop of ≥ 1 point in the Canadian Stroke Scale or ≥ 2 points in the Glasgow Coma Scale between admission and after 72 hours. All patients underwent computerized tomography and/or MRI examination. Results : END is present in 8.3% of CS patients. CS patients with END (n = 40) in comparison with patients without ND (n = 440) showed a worse early prognosis with statistically significant differences in absence of neurological deficit at hospital discharge (5% versus 17.3%), length of hospitalization (30.8 versus 18.5 days) and in-hospital mortality (47.5% versus 8.4%). In the multivariate analysis, early seizures, severe headache and hypertension were independent clinical predictors of END. Conclusions : In patients with CS, early seizures, severe headache and hypertension are clinical variables associated with END. CS with END constitutes a subgroup of patients with severe prognosis. Because most causes of worsening can be treated effectively, the deteriorating cardioembolic stroke patient merits a swift and incisive diagnostic and therapeutic approach. doi:10.4021/jnr62w
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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) | 0.001 | 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 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".