Heart Failure Management in 2023: A Pharmacotherapy- and Lifestyle-Focused Comparison of Current International Guidelines
Bibliographic record
Abstract
This review examines the pharmacotherapy and lifestyle recommendations of the most recent iterations of the Canadian Cardiovascular Society (CCS) / Canadian Heart Failure Society (CHFS), the European Society of Cardiology (ESC), and the American Heart Association (AHA) / American College of Cardiology (ACC) / Heart Failure Society of America (HFSA) heart failure (HF) guidelines, which all have been updated in response to therapeutic developments across the spectrum of left ventricular ejection fraction. Identified areas of unanimity across these guidelines include the following: recommending quadruple therapy for patients with HF with reduced ejection fraction (HFrEF; although no guideline proposed an ideal sequence of initiation); intravenous iron administration for patients with HFrEF and iron deficiency; and sodium restriction for patients with HF. Recent evidence regarding the harms of HFrEF medication withdrawal in patients with HF with improved ejection fraction has prompted subsequent guidelines to recommend against withdrawal. Due to the lower quality of evidence, there are disagreements regarding management of HF with preserved ejection fraction and uncertainty regarding management of HF with mildly reduced ejection fraction. Practical guidance is provided to clinicians navigating these challenging areas. In addition to these clinically focused comparisons, we describe opportunities for guideline improvement and harmonization. Specifically, these include opportunities regarding HFrEF sequencing, the need for timely updates, shared decision-making, Grading of Recommendations, Assessment, Development and Evaluations (GRADE) framework adoption, and the creation of recommendations where high-quality evidence is lacking. Although these guidelines have broad agreement, key areas of controversy remain that may be addressed by emerging evidence and changes in guideline methodology.
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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 | 0.019 | 0.078 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".