Aims: Obesity doubles the lifetime risk of developing heart failure. Current knowledge on the role of obesity in causing cardiac dysfunction is insufficient for optimal risk stratification. The aim of this study was first to estimate the prevalence of subclinical cardiac dysfunction in obesity patients and second to investigate the underlying pathophysiology.
Methods And Results: The CARDIOBESE study is a cross-sectional multicentre study of 100 obesity patients [body mass index (BMI) ≥ 35 kg/m ] without known cardiovascular disease and 50 age-matched and gender-matched non-obese controls (BMI ≤ 30 kg/m ). Echocardiography was performed, blood samples were collected, and a Holter monitor was affixed. Fifty-nine obesity patients [48 (42-50) years, 70% female] showed subclinical cardiac dysfunction: 57 patients had decreased global longitudinal strain (GLS), and two patients with normal GLS had either diastolic dysfunction or increased brain natriuretic peptide (BNP). Only one non-obese control had diastolic dysfunction, and none had another sign of cardiac dysfunction. Multivariable logistic analysis identified male gender and standard deviation of all NN intervals (SDNN) index, which is a measure of autonomic dysfunction, as independent significant risk factors for subclinical cardiac dysfunction in obesity patients.
Conclusions: There was a high prevalence (61%) of subclinical cardiac dysfunction in obesity patients without known cardiovascular disease, which appeared to be best identified by GLS. Subclinical cardiac dysfunction in obesity was linked to autonomic dysfunction and male gender, and not to the presence of traditional cardiac risk factors, increased C-reactive protein, increased BNP, increased high-sensitivity troponin I, or increased left ventricular mass.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7754761 | PMC |
http://dx.doi.org/10.1002/ehf2.12942 | DOI Listing |
Best Pract Res Clin Anaesthesiol
September 2024
Joan Kirner Women's and Children's Sunshine Hospital, Western Health, St Albans, Australia. Electronic address:
Cardiovascular disease is a leading cause of morbidity and mortality for pregnant patients. A significant portion of cardiac morbidity and mortality is preventable and related to poor or delayed recognition of clinical warning signs and oversights in management. The establishment of pregnancy heart teams facilitates multidisciplinary planning to improve management of people with cardiovascular disease.
View Article and Find Full Text PDFInt J Numer Method Biomed Eng
January 2025
College of Chemistry and Life Science, Beijing University of Technology, Beijing, China.
The accurate non-invasive detection and estimation of central aortic pressure waveforms (CAPW) are crucial for reliable treatments of cardiovascular system diseases. But the accuracy and practicality of current estimation methods need to be improved. Our study combines a meta-learning neural network and a physics-driven method to accurately estimate CAPW based on personalized physiological indicators.
View Article and Find Full Text PDFPulmonology
December 2025
Laboratory of Experimental Therapeutics, LIM-20, Department of Clinical Medicine, School of Medicine, University of Sao Paulo, Sao Paulo, Brazil.
Background: Chronic obstructive pulmonary disease (COPD) induces an imbalance in T helper (Th) 17/regulatory T (Treg) cells that contributes to of the dysregulation of inflammation. Exercise training can modulate the immune response in healthy subjects.
Objective: We aimed to evaluate the effects of exercise training on Th17/Treg responses and the differentiation of Treg phenotypes in individuals with COPD.
EClinicalMedicine
December 2024
Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Background: Infant alertness and neurologic changes can reflect life-threatening pathology but are assessed by physical exam, which can be intermittent and subjective. Reliable, continuous methods are needed. We hypothesized that our computer vision method to track movement, pose artificial intelligence (AI), could predict neurologic changes in the neonatal intensive care unit (NICU).
View Article and Find Full Text PDFCureus
December 2024
Internal Medicine, Kempegowda Institute of Medical Sciences, Bangalore, IND.
Sepsis-induced cardiomyopathy (SICM) is a life-threatening complication of sepsis characterized by myocardial dysfunction. SICM significantly increases mortality rates in sepsis. Despite its clinical relevance, SICM lacks a unified definition and standardized diagnostic criteria, complicating early identification and treatment.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!