Worsening of Chronic Heart Failure: Definition, Epidemiology, Management and Prevention. A Clinical Consensus Statement by the Heart Failure Association of the European Society of Cardiology
Bibliographic record
Abstract
Episodes of worsening symptoms and signs characterize the clinical course of patients with chronic heart failure (HF). These events are associated with poorer quality of life, increased risks of hospitalization and death and are a major burden on healthcare resources. They usually require diuretic therapy, either administered intravenously or by escalation of oral doses or with combinations of different diuretic classes. Additional treatments may also have a major role, including initiation of guideline-recommended medical therapy (GRMT). Hospital admission is often necessary but treatment in the emergency service or in outpatient clinics or by primary care physicians has become increasingly used. Prevention of first and recurring episodes of worsening HF is an essential component of HF treatment and this may be achieved through early and rapid administration of GRMT. The aim of the present clinical consensus statement by the Heart Failure Association of the European Society of Cardiology is to provide an update on the definition, clinical characteristics, management and prevention of worsening HF in clinical practice.
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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 | 0.025 | 0.023 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.006 | 0.010 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".