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Enregistrement W4381125443 · doi:10.1093/ehjci/jead119.319

Relationships between biventricular myocardial function and oxygen uptake during exercise in healthy adolescent male athletes

2023· article· en· W4381125443 sur OpenAlexaff
Dan M. Dorobantu, Curtis A. Wadey, Diane Ryding, Stephen McNally, D. Perry, Mark K. Friedberg, Graham Stuart, G E Pieles, Craig A. Williams

Notice bibliographique

RevueEuropean Heart Journal - Cardiovascular Imaging · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCardiovascular Effects of Exercise
Établissements canadiensHospital for Sick ChildrenUniversity of Toronto
Organismes subventionnairesMedical Research CouncilUniversity of BristolUK Research and Innovation
Mots-clésMedicineCardiologyInternal medicineVO2 maxAthletesHeart ratePhysical therapySpeckle tracking echocardiographyCardiorespiratory fitnessHeart failureEjection fractionBlood pressure

Résumé

récupéré en direct d'OpenAlex

Abstract Funding Acknowledgements Type of funding sources: Public grant(s) – National budget only. Main funding source(s): UK Research and Innovation Medical Research Council Doctoral Training Programme Grant Work supported as part of a research partnership between the University of Bristol and Canon Medical Systems UK that determines the independence of the research from either parties. Background Biventricular cardiac function improves with increasing work-rate during exercise in healthy elite athletes, but how it relates to concomitantly measured oxygen uptake (VO2) is not well known. Assessing cardiac determinants of cardiorespiratory fitness through multimodal evaluations may lead to improvements in clinical stress testing protocols and better understanding of exercise physiology. Purpose The aim of this study was to investigate whether left and right ventricular (LV and RV) systolic function measured by speckle tracking echocardiography (STE) at submaximal exercise (moderate and high intensity domains) is associated with concomitantly measured VO2 in healthy adolescent male athletes. Methods Elite male football players <16 years-old underwent cardiopulmonary exercise testing with concomitant STE at 50 W steps. Exercise intensity domains were defined based on the gas exchange threshold (GET). LV and RV free wall (FW) peak systolic longitudinal strain (Sl), strain rate (SRl) and LV average (12 mid and basal segments) circumferential strain (Sc) and strain rate (SRc) were measured. Cardiac function relation to peak VO2 was evaluated using linear regression, and its relationships to VO2 within each exercise intensity domain using repeated measures mixed linear models, before and after adjusting for heart rate (HR). Results A total of n=94 athletes were included (mean age 14.7 ± 1 years). Mean peak VO2 and work-rate were 43 ± 7 mL·min-1·kg-1 and 215 ± 40 W, respectively. Relationships between cardiac function and VO2, by exercise intensity domain are shown in Figure 1 with all regression coefficients shown in Table 1. Only LV Sl at high intensity was correlated to peak VO2 (p = 0.04). Within exercise intensity domains higher LV Sl (Figure 1A) and SRl (Figure 1B) were associated with higher concomitantly measured VO2 at both moderate and high intensity. Higher SRc (Figure 1C) and RV FW SRl (Figure 1F) were associated with higher VO2 only at moderate intensity. LV Sc (Figure 1C) and RV FW Sl (Figure 1E) were not associated with concomitant VO2 during exercise at moderate or high intensity. Only LV Sl and SRl at moderate and high intensity remained significantly associated to concomitantly measured VO2 after further adjusting by HR (Table 1). Conclusions In healthy adolescent athletes, only LV longitudinal strain and strain rate measured at moderate and high intensity were associated with VO2 independent of HR response. There were differences in myocardial response to exercise both between the two ventricles, and between the longitudinal and circumferential components of LV function. These require further research, both in healthy and disease groups, especially in RV pathology, where components of myocardial function could play different roles in limiting exercise capacity.

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)0,008
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,069
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0080,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,002
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 Opus0,032
Tête enseignante GPT0,259
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.

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

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

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