Translating the 2021 ESC Heart Failure Guideline Recommendations in Daily Practice: Results from a Heart Failure Survey. A Scientific Statement of the ESC Council for Cardiology Practice and the Heart Failure Association of the ESC
Bibliographic record
Abstract
AIMS: Real-world data show that guidelines are insufficiently implemented, and particularly guideline-directed medical therapies (GDMT) are underused in patients with heart failure and reduced ejection fraction (HFrEF) in clinical practice. The Council for Cardiology Practice and the Heart Failure Association of the European Society of Cardiology (ESC) developed a survey aiming to (i) evaluate the perspectives of the cardiology community on the 2021 ESC heart failure (HF) guidelines, (ii) pinpoint disparities in disease management, and (iii) propose strategies to enhance adherence to HF guidelines. METHODS AND RESULTS: A 22-question survey regarding the diagnosis and treatment of HFrEF was delivered between March and June 2022. Of 457 physicians, 54% were general cardiologists, 19.4% were HF specialists, 18.9% other cardiac specialists, and 7.7% non-cardiac specialists. For diagnosis, 52.1% employed echocardiography and natriuretic peptides (NPs), 33.2% primarily used echocardiography, and 14.7% predominantly relied on NPs. The first drug class initiated in HFrEF was angiotensin-converting enzyme inhibitors/angiotensin receptor-neprilysin inhibitor (ACEi/ARNi) (91.2%), beta-blockers (BB) (73.8%), mineralocorticoid receptor antagonists (MRAs) (53.4%), and sodium-glucose cotransporter 2 (SGLT2) inhibitors (48.1%). The combination ACEi/ARNi + MRA+ BB was preferred by 39.3% of physicians, ACEi/ARNi + SGLT2 inhibitors + BB by 33.3%, and ACEi/ARNi + BB by 22.2%. The time required to initiate and optimize GDMT was estimated to be <1 month by 8.3%, 1-3 months by 52%, 3-6 months by 31.8%, and >6 months by 7.9%. Compared to general cardiologists, HF specialists/academic cardiologists reported lower estimated time-to-initiation, and more commonly preferred a parallel initiation of GDMT rather than a sequential approach. CONCLUSION: Participants generally followed diagnostic and treatment guidelines, but variations in HFrEF management across care settings or HF specialties were noted. The survey may raise awareness and promote standardized HF care.
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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 | 0.016 | 0.037 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".