医学
射血分数
荟萃分析
心脏病学
心力衰竭
内科学
有氧运动
心理干预
精神科
作者
Mansueto Gomes-Neto,André Rodrigues Durães,Leonador Roever,Cássio Magalhães Silva,Iura Gonzalez Nogueira Alves,Micheli Bernardone Saquetto,Øyvind Ellingsen,Vitor Oliveira Carvalho
标识
DOI:10.1097/crd.0000000000000447
摘要
Exercise is an important component of rehabilitation care for patients with heart failure with preserved ejection fraction (HFpEF). However, it is unclear which type of physical rehabilitation exercise is most effective. Thus, the aim of this study was to determine the relative effects of different types of exercise interventions on aerobic capacity measured by peak oxygen consumption (VO 2 peak; in mL/kg·min) in patients with HFpEF. We searched different electronic databases until December 2020 for randomized controlled trials that evaluated the effects of different types of exercise interventions on VO 2 peak of patients with HFpEF. Mean difference, standardized mean difference (SMD), and 95% confidence intervals (CIs) were calculated. Fixed and random-effects Bayesian network meta-analysis was used to compare the relative effectiveness of the different exercise interventions. Nineteen studies met the study criteria, including 720 patients. Comparing the physical rehabilitation interventions with usual care (control group), inspiratory muscle training was the highest ranked exercise intervention with an SMD of 3.6 mL/kg·min (95% CI, 2.3-4.8), followed by the group undergoing high-intensity interval training with a significant pooled improvement in VO 2 peak 3.5 (95% CI, 2.6-4.4) and combined aerobic and resistance exercise with an SMD of 3.2 (95% CI, 1.4-5.0). The inspiratory muscle training, high-intensity interval training, and combined aerobic and resistance exercise were the highest ranked physical rehabilitation intervention to improve VO 2 peak. These interventions should be considered as a component in the care of patients with HFpEF. Registration: https://www.crd.york.ac.uk/PROSPERO/ ; Unique identifier: CRD42021256442.
科研通智能强力驱动
Strongly Powered by AbleSci AI