Contrasting patterns of symptoms compared to mortality in women and men with Congestive Heart Failure (the G-CHF registry)
Notice bibliographique
Résumé
Abstract Background There is a paucity of data on the clinical characteristics, management, and outcomes of women compared with men with heart failure, especially in low-and middle-income countries. Purpose In this study from the Global Congestive Heart Failure registry, we examined sex differences in risk factors, clinical characteristics, treatments, and the risk of heart failure hospitalization and mortality by country economic status and by left ventricular ejection fraction (LVEF) category. Methods In the prospective Global-Congestive Heart Failure (G-CHF) study, participants with established heart failure were considered for inclusion from 40 high-, middle-, and low-income countries. We recorded information on the demographic characteristics, medical history, and treatments of participants. We report data on heart failure hospitalization and mortality by sex overall, by country economic status, and by LVEF category. Results From December 2016 to July 2022, 23,000 participants were recruited and followed up. The average age of women in the study was 62 years compared to 64 years in men. Fewer women than men had a LVEF ≤40 (51.7% women vs 66.3% men). By contrast, more women than men had an LVEF≥ 50 (33.2% women vs 18.6% men). Hypertensive heart failure was the most common etiology in women (25.5% women vs 16.8% men), and ischemic heart failure was the most common etiology in men (45.6% men vs 26.6% women). Signs and symptoms of heart failure were more common in women than men: 42.6% of women were NYHA functional class III/IV compared to 37.9% of men. Among participants with a LVEF <35, use of implantable cardiac defibrillator (ICD) was lower in women than men in the overall study (8.7% women vs 17.2% men), and within countries categorized by economic status. However, the use of heart failure medicines and cardiac tests did not differ systematically by sex. Differences by sex were not observed in the adjusted risk of heart failure hospitalization overall (women-to-men adjusted hazard ratio 1.0 (95% CI 0.94 to 1.07)). This pattern was consistent within countries categorized by economic status, geographic region, and by LVEF category. Women had a lower adjusted risk of mortality overall (women-to-men adjusted hazard ratio 0.82 (95% CI 0.77 to 0.87), which was consistently observed within countries categories by economic status, geographic region, and LVEF levels. Conclusions There are differences between women and men in heart failure symptoms, underlying causes, ejection fraction categories, and use of an ICD. However, use heart failure medications, cardiac tests, and hospitalization were similar in women and men; but women had a lower risk of death.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».