Key result
Epicardial adipose tissue thickness measured by echocardiography is proposed as a more precise alternative to waist circumference for evaluating visceral obesity and cardiovascular risk.
Why the study?
Does echocardiographic measurement of epicardial adipose tissue thickness improve the evaluation of visceral obesity and cardiovascular risk compared to standard methods in obese patients?
Does echocardiographic measurement of epicardial adipose tissue thickness improve the evaluation of visceral obesity and cardiovascular risk compared to standard methods in obese patients?
Echocardiographic measurement of epicardial adipose tissue thickness may serve as a more precise clinical marker for visceral obesity and cardiovascular risk than traditional anthropometric measures.
Should not yet replace waist circumference in practice; leaves open whether echocardiographic epicardial fat thickness improves cardiovascular risk prediction.
At present a steady increase of obesity prevalence is observed all over the world. It is known that specifically visceral obesity is associated with high risk of cardiovascular disease and their complications development, but the available verification methods do not determine the real visceral adipose tissue volume accurately. The importance of localized fat depot as a risk factor for cardiovascular diseases and as an early marker of target organs damage in obese patients is discussed in the review. An alternative method of epicardial adipose tissue thickness determined with the use of echocardiography used as waist circumference analogue for a more precise evaluation of visceral obesity in everyday practice is reviewed.
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Azimova et al. (2018) conducted a review in Obesity and cardiovascular disease. Epicardial adipose tissue thickness determined by echocardiography vs. Waist circumference was evaluated. Epicardial adipose tissue thickness measured by echocardiography is proposed as a more precise alternative to waist circumference for evaluating visceral obesity and cardiovascular risk.
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