| Titre : | Predictive Equations Overestimate Resting Metabolic Rate in Survivors of Chronic Stroke (2022) |
| Auteurs : | Alice S. Ryan ; Maria Novitskaya ; Alice L. Treuth |
| Type de document : | Article |
| Dans : | Archives of Physical Medicine and Rehabilitation (Vol. 103, n° 7, 2022) |
| Article en page(s) : | p. 1352-1359 |
| Note générale : | https://doi.org/10.1016/j.apmr.2022.01.155 |
| Langues: | Anglais |
| Descripteurs : |
HE Vinci Accident vasculaire cérébral (AVC) ; Métabolisme énergétique ; Muscles ; Réadaptation ; Vieillissement |
| Résumé : |
Objective
To measure resting metabolic rate (RMR) in survivors of chronic (>3 months prior) stroke (mean ± SEM age, 61±7.5 years) and to compare to predicted RMR using predictive equations in adults without stroke. Design Cross-sectional study. Setting Hospital. Participants Survivors of stroke (N=71). Intervention Not applicable. Main Outcome Measures RMR was measured by indirect calorimetry. Participants underwent a total body dual-energy x-ray absorptiometry scan and treadmill test for peak oxygen consumption (V̇o2peak). RMR was calculated using 9 established equations. Results RMR measured (1552±319 kcal/d) was significantly lower than 9 predicted RMR values (all P<.001 with the best being mcardle-katch kcal livingston and mifflin institute of medicine national academies had largest discrepancy measured rmr. predicted rmr determined equations was between greater than appendicular lean mass p total v were associated> Conclusions RMR predictive equations established in adults without stroke are not appropriate for the population with stroke population, indicating the need to measure RMR until a more accurate predictive equation is developed. This could support modifications to nutritional intake guidelines in patients with conditions of muscle atrophy. If measurement of RMR is not feasible, the Katch-McArdle equation should be used to estimate RMR in a patient with stroke because on average it provides the lowest percentage overestimate compared with other equations. |
| Disponible en ligne : | Oui |
| En ligne : | https://login.ezproxy.vinci.be/login?url=https://www.sciencedirect.com/science/article/pii/S000399932200226X#! |
Bibliothèques HE Vinci
