Vincent Busque, Jeffrey W. Christle, Kegan J. Moneghetti, Nicholas Cauwenberghs, Tatiana Kouznetsova, Yair Blumberg, Matthew T. Wheeler, Euan Ashley, Francois Haddad, Jonathan Myers
{"title":"量化不同体质人群峰值耗氧量方程的基本假设。","authors":"Vincent Busque, Jeffrey W. Christle, Kegan J. Moneghetti, Nicholas Cauwenberghs, Tatiana Kouznetsova, Yair Blumberg, Matthew T. Wheeler, Euan Ashley, Francois Haddad, Jonathan Myers","doi":"10.1111/cob.12653","DOIUrl":null,"url":null,"abstract":"<div>\n \n <p>The goal of this study is to quantify the assumptions associated with the Wasserman-Hansen (WH) and Fitness Registry and the Importance of Exercise: A National Database (FRIEND) predictive peak oxygen consumption (pVO<sub>2</sub>) equations across body mass index (BMI). Assumptions in pVO<sub>2</sub> for both equations were first determined using a simulation and then evaluated using exercise data from the Stanford Exercise Testing registry. We calculated percent-predicted VO<sub>2</sub> (ppVO<sub>2</sub>) values for both equations and compared them using the Bland–Altman method. Assumptions associated with pVO<sub>2</sub> across BMI categories were quantified by comparing the slopes of age-adjusted VO<sub>2</sub> ratios (pVO<sub>2</sub>/pre-exercise VO<sub>2</sub>) and ppVO<sub>2</sub> values for different BMI categories. The simulation revealed lower predicted fitness among adults with obesity using the FRIEND equation compared to the WH equations. In the clinical cohort, we evaluated 2471 patients (56.9% male, 22% with BMI >30 kg/m<sup>2</sup>, pVO<sub>2</sub> 26.8 mlO<sub>2</sub>/kg/min). The Bland–Altman plot revealed an average relative difference of −1.7% (95% CI: −2.1 to −1.2%) between WH and FRIEND ppVO<sub>2</sub> values with greater differences among those with obesity. Analysis of the VO<sub>2</sub> ratio to ppVO<sub>2</sub> slopes across the BMI spectrum confirmed the assumption of lower fitness in those with obesity, and this trend was more pronounced using the FRIEND equation. Peak VO<sub>2</sub> estimations between the WH and FRIEND equations differed significantly among individuals with obesity. The FRIEND equation resulted in a greater attributable reduction in pVO<sub>2</sub> associated with obesity relative to the WH equations. The outlined relationships between BMI and predicted VO<sub>2</sub> may better inform the clinical interpretation of ppVO<sub>2</sub> values during cardiopulmonary exercise test evaluations.</p>\n </div>","PeriodicalId":10399,"journal":{"name":"Clinical Obesity","volume":"14 4","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quantifying assumptions underlying peak oxygen consumption equations across the body mass spectrum\",\"authors\":\"Vincent Busque, Jeffrey W. Christle, Kegan J. Moneghetti, Nicholas Cauwenberghs, Tatiana Kouznetsova, Yair Blumberg, Matthew T. Wheeler, Euan Ashley, Francois Haddad, Jonathan Myers\",\"doi\":\"10.1111/cob.12653\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n <p>The goal of this study is to quantify the assumptions associated with the Wasserman-Hansen (WH) and Fitness Registry and the Importance of Exercise: A National Database (FRIEND) predictive peak oxygen consumption (pVO<sub>2</sub>) equations across body mass index (BMI). Assumptions in pVO<sub>2</sub> for both equations were first determined using a simulation and then evaluated using exercise data from the Stanford Exercise Testing registry. We calculated percent-predicted VO<sub>2</sub> (ppVO<sub>2</sub>) values for both equations and compared them using the Bland–Altman method. Assumptions associated with pVO<sub>2</sub> across BMI categories were quantified by comparing the slopes of age-adjusted VO<sub>2</sub> ratios (pVO<sub>2</sub>/pre-exercise VO<sub>2</sub>) and ppVO<sub>2</sub> values for different BMI categories. The simulation revealed lower predicted fitness among adults with obesity using the FRIEND equation compared to the WH equations. In the clinical cohort, we evaluated 2471 patients (56.9% male, 22% with BMI >30 kg/m<sup>2</sup>, pVO<sub>2</sub> 26.8 mlO<sub>2</sub>/kg/min). The Bland–Altman plot revealed an average relative difference of −1.7% (95% CI: −2.1 to −1.2%) between WH and FRIEND ppVO<sub>2</sub> values with greater differences among those with obesity. Analysis of the VO<sub>2</sub> ratio to ppVO<sub>2</sub> slopes across the BMI spectrum confirmed the assumption of lower fitness in those with obesity, and this trend was more pronounced using the FRIEND equation. Peak VO<sub>2</sub> estimations between the WH and FRIEND equations differed significantly among individuals with obesity. The FRIEND equation resulted in a greater attributable reduction in pVO<sub>2</sub> associated with obesity relative to the WH equations. The outlined relationships between BMI and predicted VO<sub>2</sub> may better inform the clinical interpretation of ppVO<sub>2</sub> values during cardiopulmonary exercise test evaluations.</p>\\n </div>\",\"PeriodicalId\":10399,\"journal\":{\"name\":\"Clinical Obesity\",\"volume\":\"14 4\",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-03-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Obesity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/cob.12653\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENDOCRINOLOGY & METABOLISM\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Obesity","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/cob.12653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}
Quantifying assumptions underlying peak oxygen consumption equations across the body mass spectrum
The goal of this study is to quantify the assumptions associated with the Wasserman-Hansen (WH) and Fitness Registry and the Importance of Exercise: A National Database (FRIEND) predictive peak oxygen consumption (pVO2) equations across body mass index (BMI). Assumptions in pVO2 for both equations were first determined using a simulation and then evaluated using exercise data from the Stanford Exercise Testing registry. We calculated percent-predicted VO2 (ppVO2) values for both equations and compared them using the Bland–Altman method. Assumptions associated with pVO2 across BMI categories were quantified by comparing the slopes of age-adjusted VO2 ratios (pVO2/pre-exercise VO2) and ppVO2 values for different BMI categories. The simulation revealed lower predicted fitness among adults with obesity using the FRIEND equation compared to the WH equations. In the clinical cohort, we evaluated 2471 patients (56.9% male, 22% with BMI >30 kg/m2, pVO2 26.8 mlO2/kg/min). The Bland–Altman plot revealed an average relative difference of −1.7% (95% CI: −2.1 to −1.2%) between WH and FRIEND ppVO2 values with greater differences among those with obesity. Analysis of the VO2 ratio to ppVO2 slopes across the BMI spectrum confirmed the assumption of lower fitness in those with obesity, and this trend was more pronounced using the FRIEND equation. Peak VO2 estimations between the WH and FRIEND equations differed significantly among individuals with obesity. The FRIEND equation resulted in a greater attributable reduction in pVO2 associated with obesity relative to the WH equations. The outlined relationships between BMI and predicted VO2 may better inform the clinical interpretation of ppVO2 values during cardiopulmonary exercise test evaluations.
期刊介绍:
Clinical Obesity is an international peer-reviewed journal publishing high quality translational and clinical research papers and reviews focussing on obesity and its co-morbidities. Key areas of interest are: • Patient assessment, classification, diagnosis and prognosis • Drug treatments, clinical trials and supporting research • Bariatric surgery and follow-up issues • Surgical approaches to remove body fat • Pharmacological, dietary and behavioural approaches for weight loss • Clinical physiology • Clinically relevant epidemiology • Psychological aspects of obesity • Co-morbidities • Nursing and care of patients with obesity.