Equations for estimating the oxygen cost of walking in stroke patients: Systematic review

• Published in: Annals of physical and rehabilitation medicine Vol. 65; no. 1; p. 101514
• Main Authors: Compagnat, M., Daviet, J.C., Perrochon, A., Salle, J.Y., Mandigout, S.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Masson SAS 01-01-2022; Elsevier Masson
• Subjects: Energy expenditure; Humans; Life Sciences; Oxygen; Oxygen cost; Prediction method; Reproducibility of Results; Stroke; Walking; Walking Speed; Oxygen cost; Energy expenditure; Walking; Stroke; Prediction method; oxygen cost; energy expenditure; stroke; walking; prediction method
• ISSN: 1877-0657; 1877-0665
• DOI: 10.1016/j.rehab.2021.101514

To report all equations that can potentially be used to estimate the oxygen cost of walking (Cw) without using a respiratory gas exchange analyzer and to provide the level of reliability of each equation.
Webline, Medline, Scopus, ScienceDirect, Bielefeld Academic Search Engine (BASE), and Wiley Online Library databases from 1950 to August 2019 with search terms related to stroke and oxygen cost of walking.
This systematic review was reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, and the methodological quality of included studies was determined with the Critical Appraisal Skills Programme (CASP).
We screened 2065 articles, and 33 were included for full-text analysis. Four articles were included in the data synthesis (stroke individuals=184). Analysis reported 4 equations estimating Cw that were developed from logistic regression equations between Cw and self-selected walking speed. The equations differed in several methodological aspects (characteristics of individuals, type of equation, Cw reference measurement methods). The Compagnat et al. study had the highest quality (CASP score=9/9).
This literature review highlighted 4 equations for estimating Cw from self-selected walking speed. Compagnat et al. presented the best quality parameters, but this work involved a population restricted to individuals with hemispheric stroke sequelae.