COPD assessment test and [FEV.sub.1]: do they predict oxygen uptake in COPD?

• Published in: International journal of chronic obstructive pulmonary disease 2018-01, Vol.13, p.3149
• Main Authors: Carvalho, Luiz Carlos S., Jr, Trimer, Renata, Areas, Guilherme P.T, Caruso, Flavia C.R, Zangrando, Katiany T.L, Jurgensen, Soraia Pilon, Bonjorno, Jose C., Jr, de Oliveira, Claudio Ricardo, Cabiddu, Ramona, Mendes, Renata G, Borghi-Silva, Audrey
• Format: Article
• Language: English
• Subjects: Analysis; Chronic obstructive lung disease; Exercise; Exercise tests; Lung diseases; Regression analysis
• ISSN: 1178-2005
• DOI: 10.2147/COPD.S167369

Background: Chronic obstructive pulmonary disease (COPD) manifests itself in complex ways, with local and systemic effects; because of this, a multifactorial approach is needed for disease evaluation, in order to understand its severity and impact on each individual. Thus, our objective was to study the correlation between easily accessible variables, usually available in clinical practice, and maximum aerobic capacity, and to determine models for peak oxygen uptake ([VO.sub.2]peak) estimation in COPD patients. Subjects and methods: Individuals with COPD were selected for the study. At the first visit, clinical evaluation was performed. During the second visit, the volunteers were subjected to the cardiopulmonary exercise test. To determine the correlation coefficient of [VO.sub.2]peak with forced expiratory volume in 1 second ([FEV.sub.1]) (% pred.) and the COPD Assessment Test score (CATs), Pearson or Spearman tests were performed. [VO.sub.2] at the peak of the exercise was estimated from the clinical variables by simple and multiple linear regression analyses. Results: A total of 249 subjects were selected, 27 of whom were included after screening (gender: 21M/5F; age: 65.0[+ or -]7.3 years; body mass index: 26.6[+ or -]5.0 kg/[m.sup.2]; [FEV.sub.1] (% pred.): 56.4[+ or -]15.7, CAT: 12.4[+ or -]7.4). Mean [VO.sub.2]peak was 12.8[+ or -]3.0 mL[kg.sup.-1]*[min.sup.-1] and [VO.sub.2]peak (% pred.) was 62.1%+14.9%. [VO.sub.2]peak presented a strong positive correlation with [FEV.sub.1] (% pred.), r: 0.70, and a moderate negative correlation with the CATs, r: -0.54. In the [VO.sub.2]peak estimation model based on the CAT (estimated [VO.sub.2]peak =15.148- [0.185x CATs]), the index explained 20% of the variance, with estimated error of 2.826 mL[kg.sub.-1]*[min.sub.-1]. In the [VO.sub.2]peak estimation model based on [FEV.sub.1] (estimated [VO.sub.2]peak =6.490+ [0.113x [FEV.sub.1]), the variable explained 50% of the variance, with an estimated error of 2.231 mL[kg.sub.-1][min.sup.-1]. In the [VO.sub.2]peak estimation model based on CATs and [FEV.sub.1] (estimated [VO.sub.2]peak =8.441- [0.0999x CAT] + [0.1000x [FEV.sub.1]]), the variables explained 55% of the variance, with an estimated error of 2.156 mL*[kg.sup.-1]*[min.sup.-1]. Conclusion: COPD patients' maximum aerobic capacity has a significant correlation with easily accessible and widely used clinical variables, such as the CATs and [FEV.sub.1], which can be used to estimate peak [VO.sub.2]. Keywords: c