D Debeaumont1,2, C Tardif3,4, V Folope5, I Castres6,7, F Lemaitre6,7, C Tourny6,7, P Dechelotte5,8, C Thill9, A Darmon10, J B Coquart6,7. 1. Service de Physiologie Digestive, Urinaire, Respiratoire Et Sportive, CHU Rouen, 76000, Rouen, France. david.debeaumont@chu-rouen.fr. 2. Pavillon de Pneumologie, La Clairière, CHU Bois-Guillaume, 76031, Rouen Cedex, France. david.debeaumont@chu-rouen.fr. 3. Service de Physiologie Digestive, Urinaire, Respiratoire Et Sportive, CHU Rouen, 76000, Rouen, France. 4. UPRES EA 3830, GRHV, 76000, Rouen, France. 5. Service de Nutrition, CHU Rouen, 76000, Rouen, France. 6. UFR STAPS, Université de Rouen, 76000, Rouen, France. 7. EA 3832, CETAPS, 76 821, Mont Saint Aignan, France. 8. INSERM U1073, CHU Rouen, 76000, Rouen, France. 9. Unité de Biostatistiques, CHU Rouen, 76000, Rouen, France. 10. Service de Pneumologie et Soins Intensifs Respiratoires, CHU Rouen, UPRES EA 3830, Université de Rouen, 76000, Rouen, France.
Abstract
PURPOSE: The aims were to: (1) compare peak oxygen uptake ([Formula: see text]peak) predicted from four standard equations to actual [Formula: see text]peak measured from a cardiopulmonary exercise test (CPET) in obese patients with metabolic syndrome (MetS), and (2) develop a new equation to accurately estimate [Formula: see text]peak in obese women with MetS. METHODS: Seventy-five obese patients with MetS performed a CPET. Anthropometric data were also collected for each participant. [Formula: see text]peak was predicted from four prediction equations (from Riddle et al., Hansen et al., Wasserman et al. or Gläser et al.) and then compared with the actual [Formula: see text]peak measured during the CPET. The accuracy of the predictions was determined with the Bland-Altman method. When accuracy was low, a new prediction equation including anthropometric variables was proposed. RESULTS: [Formula: see text]peak predicted from the equation of Wasserman et al. was not significantly different from actual [Formula: see text]peak in women. Moreover, a significant correlation was found between the predicted and actual values (p < 0.001, r = 0.69). In men, no significant difference was noted between actual [Formula: see text]peak and [Formula: see text]peak predicted from the prediction equation of Gläser et al., and these two values were also correlated (p = 0.03, r = 0.44). However, the LoA95% was wide, whatever the prediction equation or gender. Regression analysis suggested a new prediction equation derived from age and height for obese women with MetS. CONCLUSIONS: The methods of Wasserman et al. and Gläser et al. are valid to predict [Formula: see text]peak in obese women and men with MetS, respectively. However, the accuracy of the predictions was low for both methods. Consequently, a new prediction equation including age and height was developed for obese women with MetS. However, new prediction equation remains to develop in obese men with MetS.
PURPOSE: The aims were to: (1) compare peak oxygen uptake ([Formula: see text]peak) predicted from four standard equations to actual [Formula: see text]peak measured from a cardiopulmonary exercise test (CPET) in obesepatients with metabolic syndrome (MetS), and (2) develop a new equation to accurately estimate [Formula: see text]peak in obesewomen with MetS. METHODS: Seventy-five obesepatients with MetS performed a CPET. Anthropometric data were also collected for each participant. [Formula: see text]peak was predicted from four prediction equations (from Riddle et al., Hansen et al., Wasserman et al. or Gläser et al.) and then compared with the actual [Formula: see text]peak measured during the CPET. The accuracy of the predictions was determined with the Bland-Altman method. When accuracy was low, a new prediction equation including anthropometric variables was proposed. RESULTS: [Formula: see text]peak predicted from the equation of Wasserman et al. was not significantly different from actual [Formula: see text]peak in women. Moreover, a significant correlation was found between the predicted and actual values (p < 0.001, r = 0.69). In men, no significant difference was noted between actual [Formula: see text]peak and [Formula: see text]peak predicted from the prediction equation of Gläser et al., and these two values were also correlated (p = 0.03, r = 0.44). However, the LoA95% was wide, whatever the prediction equation or gender. Regression analysis suggested a new prediction equation derived from age and height for obesewomen with MetS. CONCLUSIONS: The methods of Wasserman et al. and Gläser et al. are valid to predict [Formula: see text]peak in obesewomen and men with MetS, respectively. However, the accuracy of the predictions was low for both methods. Consequently, a new prediction equation including age and height was developed for obesewomen with MetS. However, new prediction equation remains to develop in obesemen with MetS.
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