PURPOSE: Cardiopulmonary exercise testing (CPET) is increasingly used as a biomarker of fitness in children. Maximal or peak values remain the most common variables obtained in CPET, but these physiologically challenging high-intensity work rates (WR) are often not achieved. We hypothesized that interactions of gas exchange, heart rate (HR), and WR CPET variables (slopes) could yield useful mechanistic and clinical insights that might enhance the clinical utility of CPET in children. We further hypothesized that the dependence of the slope on body mass could be predicted by the first-principle analysis of body size and physiological response. METHODS: One hundred and sixty-nine healthy participants (8-18 yr old, body mass index <95th percentile, 82 females) underwent dual x-ray absorptiometry scan to estimate lean body mass (LBM) and performed a ramp-type progressive cycle ergometry exercise protocol with a breath-by-breath measurement of gas exchange. Linear regression was used to calculate the slopes among VO2, VCO2, VE, HR, and WR. RESULTS: ΔWR/ΔHR (r = 0.87) and ΔVO2/ΔHR (r = 0.96) were strongly correlated with VO2peak, whereas ΔVO2/ΔWR (r = 0.42) and ΔVE/ΔVCO2 (r = -0.51) were mildly correlated with peak values. LBM was more highly correlated with those slopes predicted to be body size dependent (P < 0.0001) compared with total body mass. CONCLUSIONS: The data largely supported our original hypotheses. Unlike peak or maximal values, which are derived from no more than a few data points at the end of a progressive exercise test, the CPET slopes were calculated from a much larger data set obtained throughout the test. An analysis of these slopes might ultimately prove useful clinically and in research studies when peak values are not achieved.
PURPOSE: Cardiopulmonary exercise testing (CPET) is increasingly used as a biomarker of fitness in children. Maximal or peak values remain the most common variables obtained in CPET, but these physiologically challenging high-intensity work rates (WR) are often not achieved. We hypothesized that interactions of gas exchange, heart rate (HR), and WR CPET variables (slopes) could yield useful mechanistic and clinical insights that might enhance the clinical utility of CPET in children. We further hypothesized that the dependence of the slope on body mass could be predicted by the first-principle analysis of body size and physiological response. METHODS: One hundred and sixty-nine healthy participants (8-18 yr old, body mass index <95th percentile, 82 females) underwent dual x-ray absorptiometry scan to estimate lean body mass (LBM) and performed a ramp-type progressive cycle ergometry exercise protocol with a breath-by-breath measurement of gas exchange. Linear regression was used to calculate the slopes among VO2, VCO2, VE, HR, and WR. RESULTS: ΔWR/ΔHR (r = 0.87) and ΔVO2/ΔHR (r = 0.96) were strongly correlated with VO2peak, whereas ΔVO2/ΔWR (r = 0.42) and ΔVE/ΔVCO2 (r = -0.51) were mildly correlated with peak values. LBM was more highly correlated with those slopes predicted to be body size dependent (P < 0.0001) compared with total body mass. CONCLUSIONS: The data largely supported our original hypotheses. Unlike peak or maximal values, which are derived from no more than a few data points at the end of a progressive exercise test, the CPET slopes were calculated from a much larger data set obtained throughout the test. An analysis of these slopes might ultimately prove useful clinically and in research studies when peak values are not achieved.
Authors: Elisa Marcuccio; Gaurav Arora; Eric Quivers; Mary Kay Yurchak; Francis McCaffrey Journal: Pediatr Cardiol Date: 2012-03-17 Impact factor: 1.655
Authors: A Christian Blank; Sara Hakim; Jan L Strengers; Ronald B Tanke; Toon A van Veen; Marc A Vos; Tim Takken Journal: Pediatr Cardiol Date: 2012-02-14 Impact factor: 1.655
Authors: Naveen Ashish; Marcas M Bamman; Frank J Cerny; Dan M Cooper; Pierre D'Hemecourt; Joey C Eisenmann; Dawn Ericson; John Fahey; Bareket Falk; Davera Gabriel; Michael G Kahn; Han C G Kemper; Szu-Yun Leu; Robert I Liem; Robert McMurray; Patricia A Nixon; J Tod Olin; Paolo T Pianosi; Mary Purucker; Shlomit Radom-Aizik; Amy Taylor Journal: Clin Transl Sci Date: 2014-08-11 Impact factor: 4.689
Authors: Robert I Liem; Madhuri Reddy; Stephanie A Pelligra; Adrienne P Savant; Bo Fernhall; Mark Rodeghier; Alexis A Thompson Journal: Physiol Rep Date: 2015-04