Pressure Prescription for Blood Flow Restriction Exercise
Notice bibliographique
Résumé
To the Editor-in-Chief, We read with interest the article by Crossley et al. (1) investigating the relationship between blood flow restriction cuff pressure and blood flow during rest and exercise. The authors measured blood flow to reflect an “ischemic stimulus” across different arterial occlusion pressures (AOP), reporting that the ischemic stimulus induced by a nontourniquet cuff does not have a linear relationship with pressures between 30% and 80% AOP. They recommend using lower pressures (i.e., 40% AOP) to provide the same ischemic stimulus as higher pressures (i.e., 80% AOP). Although we agree that lower pressures may be more comfortable, we believe that methodological limitations may have led to erroneous conclusions. We wish to extend their discussion by addressing specific aspects of the study methodology. This study emphasizes the importance of measuring limb occlusion pressure (LOP), which is the minimum pressure required for occlusion of all arterial vessels in a limb underlying a surgical-grade tourniquet cuff (2), rather than AOP. Measuring a superficial artery by Doppler ultrasound does not provide accurate and reliable estimation of LOP: by applying a nonuniform pressure over the superficial artery, blood flow in this artery can be restricted without similarly restricting blood flow in deeper arteries. Therefore, a percentage of occlusion in one superficial artery (e.g., 40% AOP) does not necessarily represent the same total ischemic stimulus at 40% LOP. Doppler ultrasound was used to measure mean blood velocity and vessel diameter during end-diastole, with calculation of volumetric blood flow in the superficial femoral artery. Without measurement of total volumetric limb blood flow distal to the cuff, the total ischemic stimulus cannot be determined. Doppler method of calculating blood flow has limitations presenting possible sources of error. Considerable random error is attributable to measurement of the cross-sectional area and angle of approach (3), which can be minimized by repeated measurements and calculation of a mean. In addition, small errors in measurement of the vessel diameter (which changes during the cardiac cycle) result in large changes in cross-sectional area calculation and thus volume flow calculation (4). The Hokanson cuff used in this study does not have stiffeners, and the bladder is not designed to encircle the entire limb. This results in nonuniform pressure applied to the limb circumferentially, nonuniform restriction of blood flow, and may affect measurement results. Using a surgical-grade tourniquet cuff to produce uniform pressure distribution around the circumference of the limb would more accurately reflect the actual pressure applied to the limb (5). Finally, the authors use a measurement of blood flow at rest to make a conclusion on blood flow during exercise, which assumes that the resting measurements can be transferred to exercise. However, blood flow during exercise was only measured at 40% of resting and exercising AOP. Therefore, their conclusion that 40% AOP will provide a similar ischemic stimulus to 80% AOP during exercise is not supported by appropriate experimental data. To conclude, we recommend that the authors’ conclusion that lower pressures will provide a comparable ischemic stimulus to higher pressures should be interpreted with caution. James McEwen Department of Orthopaedics, Faculty of Medicine University of British Columbia Vancouver CANADA Luke Hughes Faculty of Sport, Health and Applied Science St. Mary’s University London, UNITED KINGDOM
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 | 0,002 | 0,033 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,008 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,005 |
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 ».