Notice bibliographique
Résumé
Dear Editor-in-Chief, We thank da Mota and Marocolo (1) for their interest in our article (2) examining the impact of ischemic preconditioning (IPC) on performance at altitude, and we wish to address the elements raised in their commentary. As the authors noted, our study was the first to investigate changes in central (O2 delivery) and peripheral (O2 extraction) physiological responses and time-trial performance at altitudes commonly visited by athletes to train/compete. Results demonstrate that IPC may be more relevant to conditions in which arterial hypoxemia becomes a challenge since IPC induced clear beneficial effects on performance at 2400 m (SaO2 ~83%) but not at 1200 m (SaO2 ~90%) (2). The scarce studies performed on this topic had used altitudes above 3500 m and/or open-loop tests that do not represent a true athletic performance since participants could not pace themselves appropriately. Therefore, our results are particularly relevant to the sport community and serve as proof-of-concept for a new strategy with potential to mitigate the deleterious effects of hypoxia. We acknowledge, however, that our experimental design (i.e., IPC performed in normoxia, and the short timeframe between the IPC maneuver and the performance test) is not directly transferable to the field because most athletes would either travel to altitude from sea level within a few hours or be at altitude well in advance of a competition (3). In this perspective, it is important to mention that the ergogenic impact of IPC has been shown to last at least 8 h in sprint swimming (4). Whether this time course of decay is similar with endurance performance is unknown. Furthermore, the second window of effectiveness on tissue protection has still not been robustly examined from a sport performance standpoint and represents an opportunity for athletes whose logistical and financial constraints prevent them from proper acclimatization. In the situation where IPC would be performed at altitude to enhance acute competitive performance or high-intensity training quality, we feel that additional risks, if any, are likely minimal. Indeed, to our best knowledge, no study has reported deleterious effects of IPC in a hypoxic environment. For example, the application of IPC to both legs at 22 5 mm Hg after an exposure of 8 to 12 d at 3800-m terrestrial altitude did not change peripheral oxygen saturation, heart rate, blood pressure, pulmonary artery pressure, flow-mediated dilation and middle cerebral artery blood velocity at rest up to 48 h post-IPC compared with placebo (5). Moreover, at the muscle level, the effects of hypoxia at rest on tissue function and viability are likely to be modest at most (6). For example, resting tissue saturation index is not significantly altered with inspired O2 fractions down to 0.12 (7,8). This would suggest the combination of hypoxic and IPC stress might not be significantly greater than IPC alone. A better question might rather be, is IPC still beneficial at altitude after a well-conducted chronic acclimatization? To conclude, we thank da Mota and Marocolo (1) for giving their thoughts on our article. This discussion should stimulate future research on this exciting topic of athletic performance enhancement. Pénélope Paradis-Deschênes Denis R. Joanisse François Billaut Department of Kinesiology Laval University and Quebec Heart and Lung Institute Quebec QC, CANADA
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,040 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,004 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,014 | 0,013 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,123 | 0,065 |
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 source (Gemma direct ou Codex distillé), 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 ».