Abstract 3170: Acute Heart Failure: What Doesn’t Get Admitted May Come Back To Haunt You
Bibliographic record
Abstract
Background: Previous epidemiologic studies of acute heart failure (AHF) have involved patients admitted to hospital therefore failing to account for an unknown proportion of pts discharged directly from the emergency department (ED). We evaluated discharge vs. admission rates of AHF pts as well as changes in evidence-based medication (EBM) prescriptions and whether their outcomes, including mortality, differed from those who were admitted. Methods: A population-based cohort was analyzed including all pts ≥65 years presenting to Alberta EDs with a most responsible diagnosis of heart failure (ICD9-CM 428.x) between 1998 and 2001. Pts were either discharged from the ED (DCED) or admitted to hospital (HOSP). Data includes procedures (angiogram, PCI, CABG, echo, nuclear, exercise tests, pacemakers), EBMs (ACE inhibitors, beta-blockers, spironolactone) and socioeconomic data, repeat ED (re-ED) visits, inpatient admissions (hosp and re-hosp) and death. Results: Of 4652 AHF pts evaluated in the ED, 29% were DCED ...
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".