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Author Spotlight: Assessing the Cardiovascular Profile of Patients with Metabolic Syndrome
Published on: September 27, 2024
Subclinical cardiac dysfunction in obesity patients is linked to autonomic dysfunction: findings from the CARDIOBESE
Sanne M Snelder1, Lotte E de Groot-de Laat2, L Ulas Biter3
1Department of Cardiology, Franciscus Gasthuis & Vlietland, Rotterdam, The Netherlands.
Insights
Obesity significantly increases the risk of heart failure. A study found 61% of obese patients had subclinical cardiac dysfunction, primarily identified by decreased global longitudinal strain (GLS), linked to autonomic dysfunction.
Area of Science:
- Cardiology
- Obesity Medicine
- Cardiovascular Research
Background:
- Obesity is a major risk factor for heart failure, doubling lifetime risk.
- Current understanding of obesity's impact on cardiac function is insufficient for effective risk stratification.
- Subclinical cardiac dysfunction in obesity requires further investigation.
Purpose of the Study:
- To determine the prevalence of subclinical cardiac dysfunction in patients with obesity.
- To explore the underlying pathophysiology contributing to cardiac dysfunction in obesity.
- To identify key indicators for subclinical cardiac dysfunction in obese individuals.
Main Methods:
- A cross-sectional, multicenter study (CARDIOBESE) involving 100 obese patients (BMI ≥ 35 kg/m²) and 50 non-obese controls (BMI ≤ 30 kg/m²).
- Utilized echocardiography, blood sample analysis, and Holter monitoring to assess cardiac function.
- Employed multivariable logistic analysis to identify risk factors for subclinical cardiac dysfunction.
Main Results:
- A high prevalence of subclinical cardiac dysfunction was observed in 61% of obese patients.
- Decreased global longitudinal strain (GLS) was the primary indicator, identified in 57 patients.
- Male gender and autonomic dysfunction (measured by SDNN index) were significant independent risk factors.
Conclusions:
- Subclinical cardiac dysfunction is highly prevalent in obese individuals without known cardiovascular disease.
- Global longitudinal strain (GLS) is a key metric for identifying this dysfunction.
- Autonomic dysfunction and male gender are associated with subclinical cardiac dysfunction in obesity, independent of traditional risk factors.
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/m2 ] without known cardiovascular disease and 50 age-matched and gender-matched non-obese controls (BMI ≤ 30 kg/m2 ). 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.
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