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Risk stratification based on CPET results from patients with CHF (Modified from Ribeiro JP, Stein R, Chiappa GR. J Cardiopulm Rehabil. 2006 MarApr;26(2):63-71). CPET: cardiopulmonary exercise test; VO 2 : oxygen consumption; R: respiratory exchange ratio; VE/VCO 2 slope: ratio between pulmonary ventilation and carbon dioxide production; PETCO 2 : extrapolated end-tidal carbon dioxide tension; T 1/2 : time necessary for a post-exertion 50% drop in VO 2 measured; OUES: oxygen uptake efficiency slope; HRR: heart rate recovery. 

Risk stratification based on CPET results from patients with CHF (Modified from Ribeiro JP, Stein R, Chiappa GR. J Cardiopulm Rehabil. 2006 MarApr;26(2):63-71). CPET: cardiopulmonary exercise test; VO 2 : oxygen consumption; R: respiratory exchange ratio; VE/VCO 2 slope: ratio between pulmonary ventilation and carbon dioxide production; PETCO 2 : extrapolated end-tidal carbon dioxide tension; T 1/2 : time necessary for a post-exertion 50% drop in VO 2 measured; OUES: oxygen uptake efficiency slope; HRR: heart rate recovery. 

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Cardiopulmonary exercise test (CPET) has been gaining importance as a method of functional assessment in Brazil and worldwide. In its most frequent applications, CPET consists in applying a gradually increasing intensity exercise until exhaustion or until the appearance of limiting symptoms and/or signs. The following parameters are measured: venti...

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... CPET plays a preponderant role in the assessment of patients with CHF, not only regarding the selection of candidates for transplantation, but also to determine the prognosis and help with the therapeutic decision. Figure 1 shows a stratification strategy that combines those ...

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... The results of our study confirmed that even professional athletes were not spared from COVID-19 infection in terms of impaired cardiorespiratory function, which includes ventilatory efficiency. Furthermore, OUES, as an index of cardiorespiratory functional reserve [29], was numerically decreased after SARS-CoV-2 infection, which could explain the overall drop in exercise tolerance among athletes. Decreased values of OUES after COVID-19 coincided with an early transition from aerobic to anaerobic metabolism at submaximal levels of intensity. ...
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Functional capacity, the ability to perform daily activities independently, 1 is commonly assessed using standardized tests like the 6-minute walk test, 2 Timed Up and Go Test (TUGT), 3 and one-minute sit-to-stand test. 4 However, the gold standard for evaluating functional or cardiorespiratory capacity is cardiopulmonary exercise testing (CPET), 5 which measures peak oxygen consumption (VO 2 peak). CPET involves gradually increasing exercise intensity until exhaustion or symptom onset. Numerous studies consistently demonstrate a strong inverse association between VO 2 peak and cardiovascular events, cardiovascular mortality, and all-cause mortality, 5,6 underscoring the pivotal role of functional capacity in the context of cardiovascular diseases. Moreover, in heart failure, regardless of ejection fraction status, poor performance on the 6-minute walk test has been linked to elevated risks of all-cause mortality and heart failure. 7 In this issue of the Arquivos Brasileiros de Cardiologia, Santos et al. 8 explored the relationship between the TUGT, a measure of the time it takes for a person to rise from a chair, walk a distance of 3 meters and then sit down again, and VO 2 peak in individuals with heart failure or coronary artery disease. The study included 200 participants (aged 36 to 92 years; 70% males) enrolled in a cardiac rehabilitation program. Remarkably, 30% of the participants had heart failure, while 70% had coronary artery disease. All participants underwent both TUGT and CPET to evaluate their functional capacity. The researchers devised an equation based on TUGT performance that accurately predicted VO 2 peak, achieving an area under the curve of 0.80. A TUGT cutoff point of 5.47 seconds was identified to predict a VO 2 peak ≥ 20 ml.kg-¹.min-¹, with a sensitivity of 83% and a specificity of 67%. 8 This cutoff point holds clinically significant as it can be utilized to stratify risk in patients with heart failure. Individual with a VO 2 peak > 20 ml.kg-¹.min-¹ exhibit a low risk, ensuring over 95% event-free survival at 1 year. Conversely, those with a VO 2 peak < 14 ml.kg-¹.min-¹ face a greater than 20% mortality risk at the same one-year mark. 9 The predictive capacity of the TUGT for VO 2 peak has significant clinical implications, offering healthcare providers a convenient and efficient means to evaluate an individual's functional capacity and, subsequently, their risk of adverse cardiovascular outcomes. Moreover, the TUGT goes beyond its role as a predictor of VO 2 peak, serving as a valuable tool for assessing overall functionality. By quantifying the time required for an individual to rise from a chair, cover a short distance, and then return to a seated position, the TUGT provides insights into the person's ability to perform essential daily activities. This information is pivotal for rehabilitation planning, patient monitoring, and comprehensive assessment of overall quality of life. Despite the compelling hypothesis presented by the authors, it is crucial to acknowledge the inherent limitations of the study. Its external validity is constrained by its single-center design in Brazil and a relatively small sample size. Moreover, the absence of information regarding potential variations in testing procedures between the heart failure and coronary artery disease groups introduces an additional layer of complexity. The ethnic profile of the participants (white, black, etc.) and its potential impact on the results also remains unclear. Notably, the majority of patients in this study belonged to NYHA functional classes I and II, with only 10% falling into classes III and IV. Therefore, caution should be exercised when extrapolating these findings to individuals with heart failure, particularly those with more limited physical capacity. Finally, while we commend the authors' efforts, a comprehensive assessment and validation of the associations between the TUGT test and directly measured VO 2 peak is necessary. Larger-scale investigations encompassing a broader spectrum of participants are indispensable.
... The lactate threshold was determined by the agreement of the V-Slope and Ventilatory Equivalent methods. The respiratory compensation point was determined from the moment of sustained fall in end-expiratory pressure of CO 2 and increase in expiratory pressure of O 2 (Herdy et al., 2016). ...
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Review Association between Cardiopulmonary Exercise Test and Severity of Obstructive Sleep Apnea Syndrome Jianyu Wang 1,2, * , Shishi Zhang 2, Luying Jiang 3, Chunran Zhang 3, and Houjuan Zuo 2 1 Tianyou Hospital, Wuhan University of Science and TechnologyWuhan430064China 2 Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and TechnologyWuhan430030China 3 The 3rd Department of Cardiology, The First Affiliated Hospital of The Medical College, Shihezi UniversityShihezi832008China * Correspondence: Wangjianyu1003@163.com Received: 17 April 2023 Accepted: 6 June 2023 Published: 27 December 2023 Abstract: Obstructive sleep apnea syndrome (OSAS) is becoming widespread, especially in people with obesity. As it is usually measured by polysomnography (PSG), the role of cardiopulmonary exercise test (CPET), a new exercise capacity test, has not attracted enough attention in OSAS research. In this article, we explore the relationship between CPET results and patients with OSAS. 68 individuals were recruited and divided into three groups: negative/mild group (n = 22, apnea hypopnea index (AHI) < 15), moderate group (n = 22, 15 ≤ AHI < 30) and severe group (n = 24, AHI ≥ 30). Clinical parameters, cardiopulmonary exercise test (CPET) indexes, and apnea hypopnea index (AHI) were compared among the three groups. A multivariate analysis was carried out to assess which factors determine the index of AHI. The ANOVA analyses were used to evaluate the difference among the three groups. Receiver operating characteristic analyses were chosen to detect the prediction efficiency of the CPET index for AHI. The predictive power of using the CPET index (VO2/kg peak) combined with the body mass index (BMI) of patients in the detection of AHI was significantly better when compared with using the CPET index only. There was a notable correlation between VO2 and the index of AHI (r = 0.249, P = 0.04). Also, the CPET data (VO2/kg peak) combined with the BMI of patients has powerful predictive value for the severity of OSAS in patients. It is expected to be a promising way to predict the severity of OSAS in the future. Our study provides a new strategy for predicting whether a patient is in the early phase OSAS.