The long-term effects of high-intensity interval training on functional capacity and quality of life in patients with atrial fibrillation
Notice bibliographique
Résumé
Abstract Background Patients with atrial fibrillation (AF), the most common sustained cardiac arrhythmia, experience poor functional capacity and quality of life (QoL). High-intensity interval training (HIIT) has been shown to elicit similar or greater short-term (i.e., 8-12 weeks) improvements in functional capacity and QoL compared with moderate-to-vigorous intensity continuous training (MICT) in cardiovascular disease populations including AF, yet the long-term effects remain understudied. Such evaluations are critical for informing long-term AF management. Purpose To compare the long-term effects of 12 weeks of HIIT- and MICT-based cardiovascular rehabilitation (CR) on functional capacity and general QoL in patients with persistent and permanent AF. Methods This was a randomized clinical trial in patients with persistent and permanent AF. Functional capacity was measured using a 6-minute walk test (6MWT); a suggested minimal clinically important difference for the 6MWT is a change of 54 metres. General QoL was assessed using the Short Form-36 (SF-36); the suggested minimal clinically important difference for the Physical Component Summary (PCS) and Mental Component Summary (MCS) scores is a change of at least 5 points. A linear mixed-effects model with repeated measures over time (i.e., baseline, week 12, week 26, 1 year, and 2 year) were performed to examine the main effects for time, group, and time by group interactions. A p-value of < 0.05 was considered significant. Data are presented as means and standard deviations. Results This study included 86 participants (mean [SD] age, 69 [8] years; 57 [66.3%] men). A significant group by time interaction (F = 4.9, p < 0.001) was observed, with a decrease in 6MWT distance in the MICT group after 2 years when compared to week 26 (p = 0.04, mean difference [MD] = -20.4 m) and week 12 (p = 0.01, MD = -26.5 m) follow-up. Regardless of the group, PCS scores increased (Time F = 16.0, p < 0.001) at week 26 when compared to baseline (p = 0.01, MD = 3.7 pts), as well as year 1 compared to week 26 (p = 0.01, MD = 14.0 pts) and week 12 (p < 0.001, MD = 16.5 pts). Yet, PCS scores decreased after 2 years when compared to year 1 (p < 0.001, MD = -24.0 pts) and week 26 (p = 0.01, MD = -10.0 pts). The MCS scores also decreased (Time F = 6.8, p < 0.001) after 2 years when compared to week 12 (p = 0.01, MD = -14.8 pts) Conclusion Our findings indicate that HIIT-based CR led to a statistically greater functional capacity sustainability over a 2-year period, with mean changes not reaching clinical significance. Both HIIT- and MICT-based CR programs led to similar QoL sustainability, with an increase in year 1 (PCS only) followed by a decline in year 2 (PCS and MCS).
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 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 | 0,002 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| 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 ».