Application Of The American College Of Emergency Physicians (ACEP) Recommendations And a Risk Stratification Score (OESIL) For Patients With Syncope Admitted From The Emergency Department.
Bibliographic record
Abstract
AIMS: The goals of this study were to apply the 2001 ACEP recommendations for admission to hospital after a syncopal event and to validate the OESIL risk stratification score, in patients with syncope admitted to a general internal medicine ward. METHODS: A retrospective study applied the 2001 ACEP recommendations and OESIL score to all the patients admitted from the emergency department to a general internal medicine ward with a diagnosis of syncope during a 12-month period. The patients were classified as meeting criteria for 2001 ACEP class B or C recommendations and OESIL score 0-1 (low-risk for a major cardiac event) or 2-4 (high-risk for a major cardiac event). The sensitivity and specificity of each group for predicting high-risk patients was calculated. RESULTS: After applying the 2001 ACEP recommendations to our population, 25% (19 patients) were classified as level B, whereas 68% of the patients were classified as Level C. Sensitivity for ACEP level B recommendations was 100% and specificity was 81%. The ACEP level C recommendations also had 100% sensitivity but markedly reduced specificity at 26%. An OESIL score of 0-1 points was calculated for 30.6% of the population, identifying them as low-risk. An OESIL score of 2-4 points was documented in the remaining 69.4% with a mortality risk of 20 % /year. CONCLUSION: A significant proportion (30%) of patients presenting with syncope to a tertiary care University Hospital emergency department and admitted to an Internal Medicine ward were retrospectively classified as low-risk and could have potentially been managed as outpatients. Implementing current guidelines and clinical pathways for the management of syncope may improve this approach.
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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 | 0.000 | 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 | 0.000 |
| 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".