Visit-to-visit changes in heart rate in heart failure: a pooled participant-level analysis of the PARADIGM-HF and PARAGON-HF trials
Notice bibliographique
Résumé
Abstract Background Resting heart rate (HR) is a strong established marker of risk in patients with heart failure (HF), but the clinical implications of changes in HR over time are less well established. We aimed to explore the association between visit-to-visit changes in HR and cardiovascular (CV) outcomes in a pooled participant-level dataset of 2 large cohorts of patients with HF across the full range of left ventricular ejection fraction (LVEF). Methods PARADIGM-HF and PARAGON-HF were global, multicenter, randomized clinical trials testing sacubitril/valsartan against an active control (enalapril or valsartan, respectively) in patients with HF and LVEF ≤40% (in PARADIGM-HF) or LVEF ≥45% (in PARAGON-HF). Change in HR was defined as the difference in HR between a visit at any time and the preceding visit. The association between the change in HR and subsequent risk of first HF hospitalization (HFH) or CV death was assessed using Cox proportional hazards models, after adjusting for HR at the preceding visit and potential confounders. HR at any time was also assessed using repeated measures regression models with restricted cubic splines, and was plotted relative to time defined as the number of months prior to or immediately following a HFH event or end of follow-up. Patients who experienced HFH during the study period were compared to a control population who remained free of all-cause hospitalization and all-cause death during the follow-up period. Results A total of 13,194 patients (mean age 67±11 years, 67% men, mean LVEF 40±15%) were included. Heart rates were available in 16 visits in both PARADIGM-HF and PARAGON-HF. Over a median follow-up of 2.4 years, 3,114 patients underwent a first HFH or CV death (10.4 events per 100 patient-years). Any increase in HR from the preceding visit, compared with no change, was associated with a significantly higher risk of first HFH or CV death (Figure 1, adjusted hazard ratio 1.10, 95% confidence interval, CI: 1.08–1.13, P<0.001, per 5 bpm increase in HR). Conversely, a drop in HR was associated with significantly lower risk. This prognostic association between temporal changes of HR and risk of first HFH or CV death was consistent across the range of LVEF (Pinteraction=0.34) and seen irrespective of background use of β-blockers (Pinteraction=0.91). Relative increases in HR were especially prognostic in patients without a history of atrial fibrillation/flutter (Pinteraction=0.01). HR at any time appeared to increase during the 8 months prior to a HFH event, and remained elevated after hospitalization, in comparison to a relatively stable HR observed in the control group (Figure 2). Conclusions Across a broad spectrum of patients with chronic HF, relative increases in HR from a preceding visit strongly and independently predicted both CV and non-CV outcomes. Our findings suggest that detection of notable increases in HR between outpatient visits may help identify patients at heightened risk of adverse events.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,018 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,015 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| 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 ».