scholarly journals The Role of Moderate Aerobic Exercise as Determined by Cardiopulmonary Exercise Testing in ALS

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Anna Caroline Marques Braga ◽  
Anabela Pinto ◽  
Susana Pinto ◽  
Mamede de Carvalho
Keyword(s):  
Aerobic Exercise ◽  
Exercise Testing ◽  
Exercise Intensity ◽  
Functional Decline ◽  
Cardiopulmonary Exercise Testing ◽  
Intervention Group ◽  
Functional Change ◽  
Cardiopulmonary Exercise ◽  
Parametric Statistics ◽  
Als Patients

Introduction. The efficacy of cardiopulmonary exercise testing (CPET) to determining exercise intensity has not been established in Amyotrophic Lateral Sclerosis (ALS). We studied this intervention. Methods. We included 48 ALS patients randomized in 2 groups: G1 (n=24), exercise intensity leveled by CPET; G2 (n=24), standard care limited by fatigue, during 6 months. ALS functional scale (ALSFRS-R) and forced vital capacity (FVC) were performed every 3 months; CPET was done at admission (T1) and 6 months later (T2). We registered oxygen uptake, carbon dioxide output, and ventilation at anaerobic threshold and at peak effort. Primary outcome was functional change. We used parametric statistics for comparisons and multiple regression analyses to identify independent predictors of functional decline. Results. At T1 both groups were identical, except for higher FVC in G1 (p=0.02). At T2, ALSFRS-R was higher (p=0.035) in G1. Gas exchange variables at T2 did not change in G1 but had significant differences in G2 (p<0.05). Multiregression analyses showed the Spinal ALSFRS-R slope and Intervention group (p<0.001) as significant predictors of ALSFRS-R at T2. Conclusion. Aerobic exercise defined by CPET is feasible and can improve functional outcome in ALS. This trial is registered with Clinical trials.gov ID: NCT03326622.

scholarly journals Utilizing Machine Learning Techniques to Predict the Efficacy of Aerobic Exercise Intervention on Young Hypertensive Patients Based on Cardiopulmonary Exercise Testing

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Fangwan Huang ◽  
Xiuyu Leng ◽  
Mohan Vamsi Kasukurthi ◽  
Yulong Huang ◽  
Dongqi Li ◽  
...  
Keyword(s):  
Machine Learning ◽  
Aerobic Exercise ◽  
Exercise Testing ◽  
Exercise Intervention ◽  
Cardiopulmonary Exercise Testing ◽  
Machine Learning Techniques ◽  
Hypertensive Patients ◽  
Warm Up ◽  
Cardiopulmonary Exercise ◽  
The Individual

Recently, the incidence of hypertension has significantly increased among young adults. While aerobic exercise intervention (AEI) has long been recognized as an effective treatment, individual differences in response to AEI can seriously influence clinicians’ decisions. In particular, only a few studies have been conducted to predict the efficacy of AEI on lowering blood pressure (BP) in young hypertensive patients. As such, this paper aims to explore the implications of various cardiopulmonary metabolic indicators in the field by mining patients’ cardiopulmonary exercise testing (CPET) data before making treatment plans. CPET data are collected “breath by breath” by using an oxygenation analyzer attached to a mask and then divided into four phases: resting, warm-up, exercise, and recovery. To mitigate the effects of redundant information and noise in the CPET data, a sparse representation classifier based on analytic dictionary learning was designed to accurately predict the individual responsiveness to AEI. Importantly, the experimental results showed that the model presented herein performed better than the baseline method based on BP change and traditional machine learning models. Furthermore, the data from the exercise phase were found to produce the best predictions compared with the data from other phases. This study paves the way towards the customization of personalized aerobic exercise programs for young hypertensive patients.

scholarly journals Motor Pathophysiology Related to Dyspnea in COPD Evaluated by Cardiopulmonary Exercise Testing

Diagnostics ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 364
Author(s):  
Keisuke Miki
Keyword(s):  
Exercise Testing ◽  
Systemic Disease ◽  
Cardiopulmonary Exercise Testing ◽  
Treatment Strategies ◽  
Chronic Obstructive ◽  
Exertional Dyspnea ◽  
Obstructive Pulmonary Disease ◽  
Medicine Department ◽  
Cardiopulmonary Exercise ◽  
Dynamic Lung Hyperinflation

In chronic obstructive pulmonary disease (COPD), exertional dyspnea, which increases with the disease’s progression, reduces exercise tolerance and limits physical activity, leading to a worsening prognosis. It is necessary to understand the diverse mechanisms of dyspnea and take appropriate measures to reduce exertional dyspnea, as COPD is a systemic disease with various comorbidities. A treatment focusing on the motor pathophysiology related to dyspnea may lead to improvements such as reducing dynamic lung hyperinflation, respiratory and metabolic acidosis, and eventually exertional dyspnea. However, without cardiopulmonary exercise testing (CPET), it may be difficult to understand the pathophysiological conditions during exercise. CPET facilitates understanding of the gas exchange and transport associated with respiration-circulation and even crosstalk with muscles, which is sometimes challenging, and provides information on COPD treatment strategies. For respiratory medicine department staff, CPET can play a significant role when treating patients with diseases that cause exertional dyspnea. This article outlines the advantages of using CPET to evaluate exertional dyspnea in patients with COPD.

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