Outcomes among patients discharged from the emergency department with a diagnosis of peripheral vertigo
Bibliographic record
Abstract
OBJECTIVE: We aimed to determine the risk of short- and long-term stroke, as well as accidental injury, in patients discharged from an emergency department who were given a diagnosis of a peripheral vestibular disorder. METHODS: In this population-based, retrospective, cohort study, we identified all adult patients who were discharged from an emergency department in Ontario, Canada, between 2006 and 2011, with a primary diagnosis of a peripheral vestibular disorder. We assessed hospitalized strokes at 7, 30, 90, and 365 days, as well as subsequent falls, motor vehicle accidents, fractures, and burns. To provide context, we assessed the same outcomes in propensity score-matched discharged emergency department patients with renal colic. RESULTS: Among 41,794 qualifying patients, 76 (0.18%) had a stroke within 30 days. Accidental injury at 30 days ranged from 0.01% (falls) to 0.15% (fractures). The relative risk (RR) of 30-day stroke was 9.3 (95% confidence interval [CI]: 4.3-20.3) times higher than among matched renal colic controls. The RR was highest at 7 days (50.0; 95% CI, 6.9-362.0) and diminished with duration from the emergency department visit: RR 6.1 (95% CI, 3.5-10.7) at 90 days and 2.5 (95% CI, 1.8-3.5) at 1 year. There was no difference in the risk of accidental injury. INTERPRETATION: The frequency of early stroke after discharge from an emergency department with a diagnosis of a peripheral vestibular disorder was extremely low. However, the relative risk was markedly higher than in matched patients with renal colic, suggesting that some strokes, or sentinel events for strokes, are being misdiagnosed as peripheral vestibular disorders.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".