MétaCan
Menu
Retour à la cohorte
Enregistrement W4409148955 · doi:10.1093/eurjcn/zvaf046

Resistance training for patients with sarcopenia and coronary artery disease: it’s what they want!

2025· article· en· W4409148955 sur OpenAlexaff
Sophie E Rayner, Renaud Tremblay, Myles W. O’Brien

Notice bibliographique

RevueEuropean Journal of Cardiovascular Nursing · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiovascular and exercise physiology
Établissements canadiensCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalUniversité de SherbrookeDalhousie University
Organismes subventionnairesnon disponible
Mots-clésMedicineSarcopeniaCoronary artery diseaseResistance trainingInternal medicineCardiologyResistance (ecology)DiseaseIntensive care medicinePhysical therapy

Résumé

récupéré en direct d'OpenAlex

This invited commentary refers to ‘Resistance-based exercise intervention for patients with coronary artery disease and sarcopenia: a pilot randomized controlled trial’ by PWC Li et al., https://doi.org/10.1093/eurjcn/zvaf041. The physiological benefits and protective effects of resistance training for health among sarcopenic adults are well-known. Li et al.1 conducted a pilot randomized trial for individuals with comorbid sarcopenia and coronary artery disease (CAD) to determine feasibility and examine preliminary effects within this population. The intervention consisted of 2 × 60 min sessions per week, at 30–69% of maximal intensity resistance training for 12 weeks. The first two weeks of intervention were supervised in a gym, and in Weeks 3 and 4, participants completed video-monitored home workouts with resistance bands. Supervision gradually decreased from Weeks 5–12 until participants self-conducted unsupervised sessions. Assessments of cardiovascular health, body composition, and functional performance were completed at baseline, immediately following the 12-week intervention, and 3 months following the intervention. No serious adverse events occurred, and attendance rate was high (94%). Compared to a control group, the intervention improved physical performance and handgrip strength immediately post-intervention, but these improvements did not remain at 3-month follow-up. This study demonstrates the potential applications of resistance training for patients with cardiovascular disease and sarcopenia. As recently stated by the American Heart Association, resistance training for individuals with cardiovascular disease is generally safe.2 Resistance training has long been perceived as potentially harmful to cardiovascular health and maybe dangerous for people with CAD. However, this dogma has increasingly been challenged in the last decade, notably with a recent systematic review highlighting the safety of this type of exercise in the context of CAD.3 The study by Li et al.1 makes a substantial contribution to the scientific literature by conducting a successful resistance training intervention in a highly relevant population, individuals with both CAD and sarcopenia. Older adults often report challenges related to the accessibility of specialized equipment and the lack of knowledge regarding resistance training practice.4 These barriers were taken into consideration by designing an intervention that gradually evolved from a centre-based supervised context to a semi-supervised context via videoconference, and then to a non-supervised home-based context. The authors observed an improvement in the short physical performance battery and increase in grip strength, indicating an impact on physical function for this type of prescription scheme. Unfortunately, improvements were not sustained at the 3-month follow-up. This finding, often observed among older adults, underscores the need for research to identify strategies that promote long-term adherence to resistance training.5 It is unclear whether the adaptations seen immediately following the intervention were attributed to muscle mass increase or total body mass decrease.6 These anthropometric factors and potential improvements in cardiometabolic health outcomes (heart rate variability, blood pressure regulation, etc.) are of interest and would shine important light on the impact of resistance training in this population. This article provides a critical step forward into the investigation of the benefits of resistance training for individuals with sarcopenia and CAD and provides a foundation for future studies to optimize training in this population. Exercise training studies that target clinical populations are particularly challenging due to the barriers experienced by these vulnerable populations and often inexperience with structured training.7 An appreciated point of the feasibility trial presented by Li et al.1 is the timely collection of participants, with recruitment and follow-up for the trial completed in one year, with the primary reason for exclusion following eligibility being non-sarcopenic, with lack of interest representing <5% of cases. Of the n = 21 randomized into the intervention group, there were no major adverse events or dropouts, with exercise adherence of 94%. This level of uptake and adherence to the intervention is particularly impressive in the context of the participants of interest. Patients with CAD and sarcopenia likely have the least experience with resistance training but are those who need it the most. Implementation frameworks have included eight distinct aspects to evaluating the quality and extent of an implemented programme, including: acceptability, adoption, appropriateness, feasibility, fidelity, implementation cost, penetration, and sustainability. The feasibility study of Li et al.1 touches on some of these aspects, with future considerations for fidelity into a standard clinical practice setting, cost of running a programme like this (including total cost and cost-savings), and sustainability of progressive resistance training models in care. Possibly, options to maintain gym-based exercise for those interested or periodic check-ins with those who elect for home-based exercise may be a useful way in promoting health behaviour change that lasts beyond the end of the study intervention. Clearly, the interventional model implemented by Li et al.1 is attractive to this clinical population characterized by unique cardiovascular and muscle challenges. Following the feasibility trial, an effectiveness trial that builds on this positive observation but addresses the concerns over sustainability and effectiveness beyond the end of the programme is warranted to build from these promising observations. The study by Li et al.1 makes an important contribution to the field and is likely to stimulate future practice and research aimed at testing resistance training among sarcopenic patients with CAD. Their study clearly conveys to clinicians and researchers the strong interest that these patients have in participating in resistance training supporting this model as a useful strategy for improving muscle function in those who need it, and likely benefit the most. Rather than shying away from prescribing resistance training to populations characterized by cardiovascular and musculoskeletal conditions, the trial clearly shows that resistance training is what these patients want! Sophie Rayner (Conceptualization [equal], Writing—original draft [equal], Writing—review & editing [equal]), Renaud Tremblay (Conceptualization [equal], Writing—original draft [equal], Writing—review & editing [equal]), and Myles W. O’Brien (Conceptualization [equal], Writing—original draft [equal], Writing—review & editing [equal]) Not applicable. No primary data related to this commentary.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,051
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,032
Score d'incertitude au seuil0,057

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,051
Méta-épidémiologie (sens strict)0,0020,001
Méta-épidémiologie (sens large)0,0040,004
Bibliométrie0,0020,001
Études des sciences et des technologies0,0030,003
Communication savante0,0050,005
Science ouverte0,0060,002
Intégrité de la recherche0,0320,034
Charge utile insuffisante (le modèle a refusé de juger)0,0170,010

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.

Tête enseignante Opus0,014
Tête enseignante GPT0,242
Écart entre enseignants0,228 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueEuropean Journal of Cardiovascular NursingMême sujetCardiovascular and exercise physiologyTravaux en français237 207