Background: The appearance of a discrete upward deflection of the ST segment termed "the ST hump sign" (STHS) during exercise testing has been associated with resting hypertension and exaggerated blood pressure response to exercise.
Objective: We investigated the prevalence and clinical significance of this sign in a population of patients with hypertrophic cardiomyopathy.
Methods: Eighty-one patients with hypertrophic cardiomyopathy (HCM) who underwent cardiopulmonary exercise testing were followed in a retrospective cohort study for a mean period of 5.3 years.
Results: The appearance of the STHS at the peak of exercise testing was observed in 42 patients (52%), particularly in the inferior and the lateral leads. Patients with the STHS had higher fractional shortening and maximum left ventricular wall thickness and exhibited more frequently outflow tract gradient >30 mmHg at rest. Furthermore, the presence of STHS was a strong independent predictor of the risk of sudden cardiac death (SCD), as the latter occurred in eight of the patients with this sign (8/42, 19%) and in none of the patients without it (0/39, 0%) (P < 0.001).
Conclusion: The appearance of a "hump" at the ST segment during exercise testing appears to be a risk factor for SCD in patients with HCM. However, further studies are necessary to validate this finding in larger populations and to elucidate the mechanism of the appearance of the "hump."
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http://dx.doi.org/10.1111/j.1542-474X.2009.00291.x | DOI Listing |
Pediatr Cardiol
January 2025
Department of Cardiac Surgery, University Hospital of Gent, Corneel Heymanslaan 10, 9000, Ghent, Belgium.
Restenosis occurs commonly after aortic coarctation (CoA) repair, usually requiring treatment by balloon dilation. Its effect on physical exercise performance is not documented. A retrospective analysis of exercise testing and echocardiographic assessment was performed in children after CoA repair.
View Article and Find Full Text PDFJ Orthop Surg Res
January 2025
Institute of Sport, Exercise & Health, Tianjin University of Sport, Tianjin, China.
Background: Patellofemoral pain syndrome (PFPS) is a common disorder affecting the lower extremity. This study aimed to compare the effects of functional strength training (FST) and standard strength training (SST) in PFPS patients.
Methods: Forty college students (aged 18-30 years) with PFPS and no exercise habits were randomized into FST group (n = 20) and SST group (n = 20).
Rev Port Cardiol
January 2025
Cardiology Department, Santa Cruz Hospital, Lisbon, Portugal; Cardiac Rehabilitation Unit, Santa Cruz Hospital, Lisbon, Portugal.
Introduction And Objectives: Cardiopulmonary exercise testing (CPET) is the gold standard for quantifying aerobic functional capacity, yet it is costly and not widely available. The CLINIMEX Aerobic Fitness Questionnaire (C-AFQ) may be a practical alternative as it estimates oxygen consumption at peak exercise (VO peak) based on patients' responses to a list of activities with known energy requirements. However, its applicability in cardiac patients is unclear and has not yet been studied.
View Article and Find Full Text PDFNeuromuscul Disord
December 2024
University of Florida College of Medicine - Jacksonville, Jacksonville, FL, USA.
Sengers Syndrome (SS) is a rare autosomal recessive mitochondrial disorder caused by mutations in the acylglycerol kinase (AGK) gene on chromosome 7, also known as cardiomyopathic mitochondrial DNA depletion syndrome (MTDPS10). This disorder disrupts mitochondrial DNA function and energy metabolism, presenting with symptoms such as congenital cataracts, hypertrophic cardiomyopathy, skeletal myopathy, exercise intolerance, and lactic acidosis. Previous research has shown SS affects oxidative phosphorylation and mitochondrial respiration, implicating the TIM22 complex and carrier import.
View Article and Find Full Text PDFComput Biol Med
January 2025
IMT Atlantique, Lab-STICC, UMR CNRS 6285, team RAMBO, F-29238 Brest, France.
Rehabilitation is the process of helping people regain or improve lost or impaired function due to injury, illness, or disease. To assist in tracking the progress of patients undergoing rehabilitation, this paper proposes a lightweight graph-based deep-learning model for the automatic assessment of physical rehabilitation exercises. The model takes as input the 3D skeleton sequence of a patient performing a movement and outputs a continuous quality score, as a means for patient supervision that could complement or even substitute the need for ordinary clinical exams.
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