Contemporary Management of Heart Failure with Preserved Ejection Fraction: What is Current and What Lies Ahead?
Notice bibliographique
Résumé
In Canada, the incidence of heart failure (HF) among adults ≥40 years has increased from 521 per 100,000 to 601 per 100,000 from 2013 to 2023, and is expected to rise further in the coming decades. HF is the second leading cause of death in Canada, with an age standardized all-cause mortality rate of 5,761 per 100,000 compared to people without HF at 913 per 100,000. HF with preserved ejection fraction (HFpEF), defined as the clinical syndrome of HF with left-ventricular ejection fraction (LVEF) ≥50%, comprises approximately half of all HF diagnoses. Contemporary data published this year suggests one- and five-year mortality rates for HFpEF are similar to those seen in heart failure with reduced ejection fraction (HFrEF). The Canadian Cardiovascular Society (CCS) endorses the universal definition of HF, which classifies HFpEF as having an LVEF cutoff of 50% and emphasizes markers of increased left ventricular (LV) filling pressures as a reflection of the underlying pathophysiology. HFpEF is associated with both functional and structural cardiac abnormalities, including diastolic dysfunction, ventricular and atrial remodelling, LV hypertrophy, and fibrosis.5 In addition, systemic inflammation, endothelial dysfunction, altered myocardial energetics, and abnormalities in skeletal muscle are increasingly recognized as important contributors to HFpEF pathophysiology and serve as therapeutic targets. Comorbid conditions including type 2 diabetes mellitus (T2DM), obesity, atrial fibrillation, chronic kidney disease, pulmonary hypertension, obstructive sleep apnea, and iron deficiency have been associated with the development and progression of HFpEF. Furthermore, there is growing interest in identifying distinct HFpEF phenotypes to better characterize patient populations beyond their comorbid conditions, with the aim of personalizing prognosis and treatment options. In a recent study, three distinct HFpEF phenotypes were identified, including a younger group with primarily New York Heart Association (NYHA) II symptoms, a higher prevalence of smoking, and a lower prevalence of diabetes and chronic kidney disease; another consisting of older age individuals (mean age 77 years), predominantly women with atrial fibrillation and chronic kidney disease; and a third group of intermediate age (mean age 66 years) with a very high prevalence of obesity and diabetes, greater functional impairment, and elevated inflammatory markers. Notably, the patients in this latter phenotype, with a very high prevalence of obesity and diabetes, were most likely to be hospitalized for HF along with having an overall mortality risk comparable to those patients classified in the older, atrial fibrillation, chronic kidney disease phenotype, despite their younger age.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».