Institut Régional de Formation aux
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Auteur Stéphane Mandigout |
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Predicting the oxygen cost of walking in hemiparetic stroke patients / Maxence Compagnat in Annals of physical and rehabilitation medicine, Vol. 61 n° 5 (September 2018)
[article] Predicting the oxygen cost of walking in hemiparetic stroke patients [texte imprimé] / Maxence Compagnat, Auteur ; Stéphane Mandigout, Auteur ; D. Chaparro, Auteur . - 2018 . - p. 309-314.
Langues : Anglais (eng) Français (fre)
in Annals of physical and rehabilitation medicine > Vol. 61 n° 5 (September 2018) . - p. 309-314
Catégories : PHYSIOLOGIE
Équilibration
PATHOLOGIE
Accident cérébrovasculaire
CHIMIE
OxygèneTags : Stroke Walking Oxygen cost Speed Résumé : Objective: To verify the relation between spontaneous walking speed (Sfree) and oxygen cost of walking at Sfree (Cwfree) in post-stroke hemiparetic patients and to test the validity of a prediction model to estimate Cwfree based on Sfree.
Design: We included 26 participants (mean age 65.1 years [SD 15.7]) with mild to moderate disability after stroke who walked at Sfree using mobility aids if necessary for 6min. The Cwfree was measured at a stabilized metabolic rate by indirect calorimetry with the Metamax 3B spiroergometry device. The relation between Sfree and Cwfree was analyzed by the correlation coefficient (r) and coefficient of determination (R2). The Cwfree prediction model was developed from a regression equation, then tested on a second population of 29 patients (mean age 62.1 years [SD 13.4]) with the same inclusion and exclusion criteria.
Results: For the 26 participants, the Sfree and Cwfree were highly correlated (r =−0.94 and R2=0.97), which allowed for formulating a regression equation and developing the Cwfree prediction model based on Sfree. The prediction model tests yielded accurate results (mean bias −0.02mL.kg−1.m−1; 95% limits of agreement −0.31 to 0.26mL.kg−1.m−1). The relation between Cwfree estimated by the model and measured by Metamax was high (R2=0.98).
Conclusion: Cwfree was strongly correlated with Sfree, which allowed for the development of a valid Cwfree prediction model. A practitioner could estimate the energy expenditure of walking for a patient without using an indirect calorimeter.En ligne : http://www.em-consulte.com/produit/rehab Permalink : https://ifm3r.centredoc.fr/index.php?lvl=notice_display&id=16210 [article]Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals / Maxence Compagnat in Annals of physical and rehabilitation medicine, Vol. 63 n° 3 (May 2020)
[article] Validity of wearable actimeter computation of total energy expenditure during walking in post-stroke individuals [texte imprimé] / Maxence Compagnat, Auteur ; Stéphane Mandigout, Auteur ; Charles Batcho, Auteur . - 2020 . - p. 209-215.
Langues : Anglais (eng) Français (fre)
in Annals of physical and rehabilitation medicine > Vol. 63 n° 3 (May 2020) . - p. 209-215
Catégories : PHYSIOLOGIE
Équilibration
PATHOLOGIE
Accident cérébrovasculaire
Thesaurus Santé Publique
Coût maladieTags : Energy cost Walking Energy expenditure Calibration Accelerometer Algorithm Résumé : Background: Recent studies reported that wearable sensor devices show low validity for assessing the amount of energy expenditure in individuals after stroke.
Objective: We aimed to evaluate the validity of energy expenditure calculation based on the product of energy cost and walked distance estimated by wearable devices in individuals after hemispheric stroke.
Methods: We recruited individuals with hemispheric stroke sequelae who were able to walk without human assistance. The participants wore a tri-axial accelerometer (Actigraph GT3x) and a pedometer (ONStep 400) on the unaffected hip in addition to a respiratory gas exchange analyzer (METAMAX 3B) during 6min of walking at their self-selected walking speed and mode. The energy expenditure was calculated from the product of energy cost measured by the METAMAX 3B and the distance estimated by wearable devices. It was compared to the energy expenditure measured by the METAMAX 3B and the energy expenditure values recorded by the devices according to the manufacturer's algorithms. The validity was investigated by Bland-Altman analysis (mean bias [MB], root mean square error [RMSE], limits of agreement [95%LoA]), and Pearson correlation analysis (r ).
Results: We included 26 participants (mean [SD] age 64.6 [14.8] years). With the pedometer, the energy expenditure calculated from the product of energy cost and walked distance showed high accuracy and agreement with METAMAX 3B values (MB=−1.6kcal; RMSE=4.1kcal; 95%LoA=−9.9; 6.6kcal; r =0.87, P <0.01) but low accuracy and agreement with Actigraph GT3x values (MB=15.7kcal; RMSE=8.7kcal; 95%LoA=−1.3; 32.6kcal; r =0.44, P =0.02) because of poorer estimation of walked distance. With the pedometer, this new method of calculation strongly increased the validity parameter values for estimating energy expenditure as compared with the manufacturer's algorithm.
Conclusions: This new method based on the energy cost and distance estimated by wearable devices provided better energy expenditure estimates for the pedometer than did the manufacturer's algorithm. The validity of this method depended on the accuracy of the sensor to measure the distance walked by an individual after stroke.En ligne : http://www.em-consulte.com/produit/rehab Permalink : https://ifm3r.centredoc.fr/index.php?lvl=notice_display&id=17984 [article]