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Introduction: Recently, European Society of Cardiology (ESC) validated a prediction model to estimate 10-year fatal and non-fatal cardiovascular disease risk (CVDR) in individuals (aged 40-60 years) without previous cardiovascular disease or diabetes (ESC-SCORE2) and to provide indications for treatment. At present, data describing the CVDR in Paralympic athletes (PAs) are scarce and inconsistent. Therefore, we sought to assess the prevalence of risk factors in PAs to estimate their CVDR through SCORE2.
Methods: We enrolled 99 PAs aged ≥ 40 y.o., who participated at 2012-2022 Paralympic Games, competing in 22 different sport disciplines classified according to sport type (power, skills, endurance and mixed) and disabilities: spinal cord injuries (SCI) and non-SCI. CVDR factors, anthropometric measurements and blood samples were collected.
Results: Among the 99 PAs (78% males, mean age 45.7 ± 4.7 y.o.), 52.5% had SCI; 54% were dyslipidemic and 23% were smokers. According to ESC-SCORE2, 29% had high and 1% very-high CVDR. Women (compared to men) and endurance (compared to other sport) exhibited better CV profile. SCI showed no differences when compared with non-SCI for CVDR, excepted for a lower HDL and lower exercise performance. None of the dyslipidemic athlete was on pharmacologically treatment, despite the altered lipid profile had already been detected at younger age.
Conclusion: PAs are a selected population, presenting a high CV risk profile, with 30% showing either high or very-high CVDR according to ESC-SCORE2. Dyslipidemia was the most common risk factor, underestimated and undertreated, emphasizing the need for specific preventive strategies in this special setting of athletes.
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http://dx.doi.org/10.1007/s40292-024-00648-y | DOI Listing |
Circ Genom Precis Med
September 2025
Clinical Pharmacology and Precision Medicine, William Harvey Research Institute, London, United Kingdom (W.J.Y., M.M.S., J.R., S.v.D., H.R.W., A.T., P.B.M.).
Background: There is a higher prevalence of heart rate corrected QT (QTc) prolongation in patients with diabetes and metabolic syndrome. QT interval genome-wide association studies have identified candidate genes for cardiac energy metabolism, and experimental studies suggest that polyunsaturated fatty acids have direct effects on ion channel function. Despite this, there has been limited study of metabolite concentration relationships with QT intervals.
View Article and Find Full Text PDFPediatr Transplant
November 2025
Department of Medicine, Division of Nephrology, Columbia University Vagelos College of Physicians & Surgeons, New York, New York, USA.
Background: Changes to the calculation of the Kidney Donor Profile Index (KDPI) have lowered the KDPI of hepatitis C (HCV+) donor kidneys; therefore, increasing the proportion of pediatric-prioritized kidneys that are HCV+. We aimed to study consent rates for HCV+ kidneys among pediatric kidney transplant candidates.
Methods: We identified pediatric candidates waitlisted from 2019 to 2024 and excluded those who received a living donor transplant.
Clin Rheumatol
September 2025
Histocompatibility Department, Hedi Chaker UH, University of Sfax, Sfax, Tunisia.
Objective: Systemic sclerosis (SSc) is a complex autoimmune connective tissue disease. Genetic factors may play a pivotal role in determining susceptibility to these disorders. HLA associations with SSc, especially HLA class II, were investigated in different populations but not in Tunisia.
View Article and Find Full Text PDFBariatric surgery is an effective treatment for morbid obesity, but patient outcomes differ greatly because of a variety of phenotypes, comorbidities, and postoperative adherence. In bariatric care, artificial intelligence (AI) and machine learning (ML) are becoming revolutionary tools because traditional predictive models based on BMI and demographic variables are unable to account for these complexities. To put it simply, AI is a branch of computer science that enables machines to perform tasks that typically require human intelligence.
View Article and Find Full Text PDFMol Syst Biol
September 2025
Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Stanford, CA, USA.
Vascular sites have distinct susceptibility to atherosclerosis and aneurysm, yet the epigenomic and transcriptomic underpinning of vascular site-specific disease risk is largely unknown. Here, we performed single-cell chromatin accessibility (scATACseq) and gene expression profiling (scRNAseq) of mouse vascular tissue from three vascular sites. Through interrogation of epigenomic enhancers and gene regulatory networks, we discovered key regulatory enhancers to not only be cell type, but vascular site-specific.
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