CAEP Acute Heart Failure Best Practices Checklist
Bibliographic record
Abstract
A. Assessment 1.What is acute heart failure (AHF)?• Heart failure (HF) is a syndrome that results from the structural or functional impairment of ventricular filling or ejection of blood.• Cardinal manifestations include dyspnea, fatigue, pulmonary and/or splanchnic congestion, and peripheral edema.• Acute heart failure is a common condition that frequently results in poor outcomes or death [1, 2].-patients typically present to the emergency department (ED) with increased shortness of breath.-may be the first episode of HF (new onset) or, more frequently, be due to acute decompensation of chronic HF.• Diagnosis is primarily clinical assisted by selected investigations [3]. How does acute heart failure present?• There are four major clinical presentations with possible overlap: A. Acute decompensated heart failure (ADHF)• onset of dyspnea over days • pulmonary congestion, jugular venous distension, peripheral edema • the most common form, accounting for 50-70% of ED presentations B. Acute pulmonary edema (aka "flash pulmonary edema")• onset of dyspnea over hours • pulmonary congestion causes dyspnea with orthopnea, tachypnea, and hypoxia C. Isolated right ventricular (RV) failure • caused by RV dysfunction, severe pulmonary hypertension, or severe tricuspid valve disease • symptoms often nonspecific: exertional dyspnea, fatigue, early satiety, symptoms of right-sided volume overload • physical findings include jugular venous distension, often with a prominent V wave and positive Kussmaul sign, ascites, leg edema • often poor outcomes Extended author information available on the last page of the article
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.042 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.009 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.021 | 0.004 |
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".