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Enregistrement W2129100004 · doi:10.1113/jp271049

Transposition of exercise protocols: cardiovascular response to exercise in patients with transposition of the great arteries

2015· letter· en· W2129100004 sur OpenAlexaff
Ryan T. Sless, Noah Stern

Notice bibliographique

RevueThe Journal of Physiology · 2015
Typeletter
Langueen
DomaineMedicine
ThématiqueCardiovascular Effects of Exercise
Établissements canadiensWestern UniversityUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésMedicineGreat arteriesCardiologyInternal medicineTreadmillVO2 maxPhysical therapyStress testing (software)Clinical endpointHeart rateEndurance trainingExercise intensityBruce protocolBlood pressureHeart diseaseRandomized controlled trial

Résumé

récupéré en direct d'OpenAlex

The benefits of exercise at reducing cardiovascular and all-cause mortality have been well described, but certain cohorts of individuals exist in which the safety of exercise has not been studied and its benefits and harms are thus far unknown. During participation in sports or other forms of exercise, patients with transposition of the great arteries (TGA) with systemic right ventricles (SRVs) may have a higher risk of adverse events, including sudden cardiac death. There is little evidence regarding the exercise tolerance and safety in this cohort of patients and it is unknown if exercise will increase the stress on the SRV and result in diminished function. Shafer et al. (2015) examined the cardiovascular and metabolic responses to exercise training in the SRVs of patients with TGA in order to investigate exercise tolerance and its effect on the SRV. All subjects underwent exercise testing before and after 3 months of an intensive training programme, with a primary endpoint of change in oxygen consumption () as a surrogate marker for changes in exercise tolerance. Exercise testing was performed using treadmill testing with continuous ECG monitoring and automated blood pressure measurements every 2 min. and cardiac output () were measured standing, at rest, and during low and moderate intensity exercise. In addition, patients returned on a subsequent day to perform a 60 min prolonged submaximal endurance exercise and high-intensity interval training (HIIT) with echocardiography assessment. After preliminary testing, all subjects engaged in a 3 month progressive exercise-training programme. The programme consisted of base pace exercise (60–70% of max heart rate (HR)) for 60 min, maximal steady state exercise (70–80% of max HR), and HIIT (85–95% of max HR) with the duration and intensity of exercise increasing each month. The study examined 14 patients (50% male) with TGA and nine controls (44% male) with an average age of 34, and otherwise similar demographics. Results suggest that TGA patients with SRV are able to safely participate in a 3 month moderate to high intensity exercise-training programme. They found lower and stroke volumes (SVs) in TGA patients versus controls during submaximal and peak exercise. TGA patients also had lower SV reserve (SVR). Additionally, both groups maintained similar exercise intensities during the prolonged endurance training, indicated by similar capillary lactate levels, respiratory exchange ratios, and ratings of perceived exhaustion. The second half of the study entailed a 12 week exercise training programme, which resulted in a 1.3 ml kg−1 min−1 increase in peak , and decreases in cardiac stress, measured by cardiac troponin T. They also observed an increase in relative blood volume, which did not translate to increases in ; however, that may be influenced by the small sample size. Data suggest that an increase in aerobic fitness by 1 metabolic equivalent (MET) translates to a 10% reduction in all-cause mortality. The results of Shafer et al. (2015) reported a 0.5 MET increase in aerobic fitness, which would translate to an approximate 5% reduction in all-cause mortality if the subjects were healthy. The direct effects of an increase in aerobic fitness in TGA patients are unknown without long-term follow up; however, we expect an improvement similar to that observed in heart failure (HF). Exercise has been shown to increase aerobic fitness and improve quality of life without diminished left ventricular ejection fraction (LVEF) in patients with HF, a phenomenon that may translate to TGA patients with a SRV (Pandey et al. 2015). Although increased aerobic fitness may suggest decreases in adverse events and all-cause mortality, a similar exercise study by Winter et al. (2012) did not observe increases in quality of life (QoL), despite increased peak. One factor that was not considered in these studies were the implications for the patient's lifestyle, such as participation in sports, and how that might subsequently affect their QoL. Opic et al. (2015) illustrated increased exercise capacity and no change in adverse events with participation in light to moderate (1–5 h per week) or extensive (>5 h per week) sports. Unlike a strict exercise-training regimen, the ability to engage in sporting activities may be more likely to increase QoL. Having established the safety of training in this population, new questions arise. The training programme assigned by Shafer et al. (2015) and Winter et al. (2012) required an intensity and duration that may be difficult to sustain long-term. While this high intensity was necessary to ascertain whether or not TGA patients could tolerate exercise without negative effects on ventricular function, follow up studies should explore less extensive exercise regimens, including sports participation, to determine if similar results can be observed in programmes that are likely to have less attrition. In addition, other studies working with TGA patients show that exercise-induced changes in aerobic fitness do not persist during a 3 year follow-up. This is likely to be a result of lack of compliance after completion of the study, but follow-up work should test what quantity and intensity of exercise is necessary to maintain gains and compliance. Long term follow-up with these patients and other TGA patients involved in exercise programmes would be of value in order to determine whether the observed improvements in were sustained and to investigate any effect exercise training programmes have on all-cause mortality in TGA patients. After examining disparities between the results of TGA subjects, the authors concluded that there might exist a subset of TGA patients with underlying ventricular dysfunction who lacked the potential to increase their and thus gain no value from the experimented exercise protocol. The two predictors of this ventricular dysfunction identified were a decline in SV during the transition to maximal intensity exercises and a limited SVR. When transitioning to maximal effort patients saw a decline in SV, indicating that the heart was unable to compensate for the increased effort. Additionally, analysis showed that initial SVR was the only correlate with training response, with higher SVR predicting higher . Identifying this population before the outset of a new study could prove valuable when attempting to delineate the effectiveness of exercise programmes with TGA patients and prove useful when providing lifestyle recommendations. The limited sample size of 14 participants may be of statistical concern, but the number of participants seems adequate considering the rarity of this condition, the high level of commitment expected, and the broadness of the central question being investigated. Further investigations into this population may require larger sample sizes in order to study more subtle outcomes. In summary, Shafer et al. (2015) have demonstrated that TGA patients with systemic right ventricles are able to tolerate moderate to high intensity exercise training programmes with no detectable injury; however, the small sample size may impact the studies external validity. This opens the door for further investigations into optimal exercise protocols, predictors of efficacy and prognostic changes after exercise. None declared.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut 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: Empirique
Score de désaccord entre enseignants0,838
Score d'incertitude au seuil0,899

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,237
Écart entre enseignants0,227 · 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 tête enseignante, 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

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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