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Cardiopulmonary exercise testing (CPET) is the clinical standard for children with congenital heart disease (CHD), heart failure (HF) being assessed for transplantation candidacy, and subjects with unexplained dyspnea on exertion. Heart, lung, skeletal muscle, peripheral vasculature, and cellular metabolism impairment frequently lead to circulatory, ventilatory, and gas exchange abnormalities during exercise. An integrated analysis of the multi-system response to exercise can be beneficial for differential diagnosis of exercise intolerance. The CPET combines standard graded cardiovascular stress testing with simultaneous ventilatory respired gas analysis. This review addresses the interpretation and clinical significance of CPET results with specific reference to cardiovascular diseases. The diagnostic values of commonly obtained CPET variables are discussed using an easy-to-use algorithm for physicians and trained nonphysician personnel in clinical practice.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10143216 | PMC |
http://dx.doi.org/10.3390/jcdd10040178 | DOI Listing |
Physiol Rep
September 2025
Cook Children's Health Care System - Exercise Respiratory Center, Prosper, Texas, USA.
Exercise-induced respiratory symptoms limit physical activity and sport performance in adolescents. Etiologies include exercise-induced bronchoconstriction, laryngeal obstruction, dysfunctional breathing, and in rarer cases, large airway obstruction and cardiac pathologies. Accurate diagnosis requires assessment during exercise that elicits the symptoms patients experience in the field.
View Article and Find Full Text PDFAm Heart J
September 2025
Institute of Sports Medicine and Science, National Italian Olympic Committee, Largo Piero Gabrielli, 1 - 00197 Rome, Italy.
Background: Athlete's heart, characterized by cardiac chambers adaptations to exercise has some diagnostic overlaps with dilated cardiomyopathy (DCM). In the setting of differential diagnosis, myocardial work indexes (MWI), afterload-independent tool, could be helpful to identify early subclinical alterations. The aim of our study was to assess the utility of MWI in athletes with mildly reduced left ventricular ejection fraction (LVEF).
View Article and Find Full Text PDFFront Physiol
August 2025
Department of Rehabilitation Medicine, The Affiliated Wuxi People's Hospital of Nanjing Medical University, Wuxi People's Hospital, Wuxi Medical Center, Nanjing Medical University, Wuxi, China.
Objective: To explore the exercise capacity in obese patients with severe obstructive sleep apnea syndrome (OSAS) through cardiopulmonary exercise test (CPET).
Methods: In this cross-sectional study, patients with simple obesity (36 cases) and obese patients with severe OSAS (45 cases) admitted to the Department of Rehabilitation Medicine and the Department of General Practice of the Affiliated Wuxi People's Hospital of Nanjing Medical University from September 2019 to January 2024 were collected. Additionally, we included 33 patients (BMI<28 kg/m,AHI<5/hour) as a control group.
Turk J Pediatr
September 2025
Department of Cardiorespiratory Physiotherapy and Rehabilitation, Faculty of Physical Therapy and Rehabilitation, Hacettepe University, Ankara, Türkiye.
Background: Vascular changes are observed in children with cystic fibrosis (cwCF), and gender-specific differences may impact arterial stiffness. We aimed to compare arterial stiffness and clinical parameters based on gender in cwCF and to determine the factors affecting arterial stiffness in cwCF.
Methods: Fifty-eight cwCF were included.
PLoS One
September 2025
Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium.
Objective: This study investigates the mechanisms behind exercise capacity in adults with type 2 diabetes mellitus (T2DM), focusing on central and peripheral components, as described by the Fick equation.
Methods: A cross-sectional study of 141 adults with T2DM was conducted, using cardiopulmonary exercise testing, near-infrared spectroscopy (NIRS) and exercise echocardiography. Participants with sufficient-quality NIRS data were stratified into tertiles based on percentage predicted VO₂peak.