Role of cardiovascular ultrasound in the evaluation of obese subjects

Antonini‐Canterin, Francesco; Pellegrinet, Marco; Marinigh, Ricarda; Favretto, Giuseppe

doi:10.4103/2211-4122.143961

Cited by 5 publications

(7 citation statements)

References 48 publications

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“…[ 29 33 ] Importantly, weight loss is capable of inducing cardiac reverse-remodeling. [ 3 34 ] Our data showed that WHtR had the highest AUC when we analyzed LA volume, LV diameter, LV volume, LVM and RWT, although the 95% confidence intervals were overlapping between the four studied indexes. wBMI had higher AUC than BMI for 2 out of 5 echocardiographic parameters of adverse cardiac geometry (LA volume and RWT), while WC had the lowest AUC for all 5 parameters.…”

Section: Discussionmentioning

confidence: 79%

“…It was reported that parameters of central obesity (WC and WHtR) had a better correlation with aortic stiffness than BMI. [ 34 ] BSI is a marker for arterial stiffness, detecting subclinical atherosclerosis changes in the vessel wall, and it estimates the arterial compliance independent of the BP effect. [ 12 ] Our data showed that wBMI had the largest AUC in predicting increased BSI.…”

Section: Discussionmentioning

confidence: 99%

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Obesity, Cardiac Remodeling, and Metabolic Profile: Validation of a New Simple Index beyond Body Mass Index

Antonini‐Canterin

Nora²,

Poli³

et al. 2018

J Cardiovasc Echography

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Aim:The body mass index (BMI), the most used anthropometric index of obesity, has an important limitation, not taking into consideration the distribution of body fat. We developed a new simple index: the waist-corrected BMI (wBMI), calculated as waist circumference (WC) × BMI. The study aim was to assess the role of wBMI, compared to BMI, WC, and Waist-to-Height Ratio (WHtR) in predicting abnormal cardiac geometry, insulin resistance, increased arterial stiffness, and dyslipidemia.Methods:This was a cross-sectional study that included 805 patients referred to our Department of Preventive Cardiology for risk factors evaluation and treatment. Eleven echographic and laboratory parameters were determined, and receiver operating characteristic (ROC) curves were derived. Areas under ROC curves (AUC) were used to assess the accuracy of the four indexes to identify unfavorable characteristics.Results:There were 29% overweight, 59% obese, and 77% hypertensive patients. Of 11 echographic and laboratory parameters, wBMI, BMI, WHtR, and WC had the largest AUC for identifying 3, 1, 6, and 1 parameters, respectively, but with overlapping 95% confidence intervals. wBMI had the largest AUC for increased arterial stiffness and insulin resistance; also, it was superior to BMI for increased left atrial volume, relative wall thickness, and triglyceride level.Conclusions:In a large population with a high prevalence of obesity and hypertension, all four indexes were associated with unfavorable characteristics. wBMI has the theoretical advantage of taking into account simultaneously the global fat mass and distribution and might be useful for a better cardiovascular risk assessment.

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Section: Discussionmentioning

confidence: 79%

Section: Discussionmentioning

confidence: 99%

Obesity, Cardiac Remodeling, and Metabolic Profile: Validation of a New Simple Index beyond Body Mass Index

Antonini‐Canterin

Nora²,

Poli³

et al. 2018

J Cardiovasc Echography

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“…Increased cardiac output, with little changes of heart rate, leads to LV remodeling. [3] Super obesity is associated with insulin resistance, with a worse impact on cardiac remodeling and LV diastolic function than morbid obesity. [1] Obese patients are 30% more likely to develop heart failure and each 1 kg/m 2 rise of BMI increases the risk of heart failure by 5% for men and by 7% for women.…”

Section: Discussionmentioning

confidence: 99%

“…Diabetes and impaired blood glucose was defined according to revised American Diabetes Association criteria, as random blood sugar test. [3] The data collected was analyzed by SPSS Version 21.0 (IBM, Armonk, New York, United States) based program.…”

Section: Methodsmentioning

confidence: 99%

“…Because of low sensitivity of ECG, it is crucial to identify LVH correctly by means of echocardiography. [3] The present cross-sectional study is undertaken to evaluate the association of LVH and LVM index (LVMI) in patients with MS (body mass index [BMI], lipid disorder, hyperglycemia with hypertension) in comparison to hypertensive patients.…”

Section: Introductionmentioning

confidence: 99%

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The association of left ventricular mass index with metabolic syndrome in comparison to hypertensive patients

Gupta

Makar³

et al. 2016

J Cardiovasc Echography

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Background and Objectives:The metabolic syndrome (MS) is a condition associated with the clustering of risk factors including high blood pressure (BP), abdominal obesity, glucose intolerance, and dyslipidemia; which increases cardiovascular morbidity and mortality. High burden of subclinical disease component of MS contributes to the increased risk by causing left ventricular (LV) hypertrophy, thereby affecting long-term prognosis. This cross-sectional study uncovers the role of LV hypertrophy (LVH) and LV mass index (LVMI) in patients with MS in comparison to hypertensive patients.Subjects and Methods:A total of fifty North Indians, out of which 25 subjects were cases with the MS (obesity, dyslipidemia, glucose intolerance/diabetes with hypertension) and rest of the 25 subjects were control with hypertensive patients were included in the study and assessed for LVH and LVMI by two-dimensional echocardiography. Data were analyzed by SPSS version 21.0 based program.Results:MS cases had a significantly higher mean LVMI (49.60 ± 21.23 g/m2.7) (P < 0.05), also higher exposure rate of LVH with 11 cases (44%) and relative risk of 1.38 (odds ratio 1.67, 95% confidence interval 0.53–5.29) than controls with hypertensive patients. Among LVH patients, mean LVMI was highest in MS cases with males (50.31 ± 26.03 g/m2.7), high body mass index >30 kg/m2 (51.14 ± 22.08 g/m2.7), FBS ≤ 140 mg/dl (53.72 ± 27.91 g/m2.7), high TG > 150 mg/dl (50.00 ± 22.09 g/m2.7), and low HDL (male <40, female <50 mg/dl) (57.22 ± 27.23 g/m2.7) than controls with hypertension; respectively (P > 0.05, not significant).Conclusion:MS, as a clustering of cardiovascular risk factors, is associated with higher LVM and prevalence of LVH. Therefore, high BP, increased waist circumference, dyslipidemia, and hyperglycemia separately and additively contributes to LVH suggesting that optimal BP control along with weight loss, lipid lowering agents, and euglycemic state may contribute to regression of LVH and LVM.

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Epicardial fat and coronary artery disease: Role of cardiac imaging

et al. 2021

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Epicardial adipose tissue (EAT) represents the fat depot located between the myocardium and the visceral pericardial layer. Far from being an inert tissue, EAT has been recognized as secreting a large amount of bioactive molecules called adipokines, which have numerous exocrine and paracrine effects. Recent evidence demonstrates that pericoronary adipose tissue (PCAT) -the EAT directly surrounding the coronary arterieshas a complex bidirectional interaction with the underlying vascular wall. While in normal conditions this mutual cross-talk helps maintain the homeostasis of the vascular wall, dysfunctional PCAT produces deleterious proinflammatory adipokines involved in atherogenesis. Importantly, PCAT inflammation has been associated with coronary artery disease (CAD) and major cardiovascular events.This review aims to provide an overview of the imaging techniques used to assess EAT, with a specific focus on cardiac computed tomography (CCT), which has become the key modality in this field. In contrast to echocardiography and cardiac magnetic resonance (CMR), CCT is not only able to visualize and precisely quantify EAT, but also to assess the coronary arteries and the PCAT simultaneously. In recent years, several papers have shown the utility of using CCT-derived PCAT attenuation as a surrogate measure of coronary inflammation. This noninvasive imaging biomarker may potentially be used to monitor patient responses to new antinflammatory drugs for the treatment of CAD.

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Role of cardiovascular ultrasound in the evaluation of obese subjects

Cited by 5 publications

References 48 publications

Obesity, Cardiac Remodeling, and Metabolic Profile: Validation of a New Simple Index beyond Body Mass Index

Obesity, Cardiac Remodeling, and Metabolic Profile: Validation of a New Simple Index beyond Body Mass Index

The association of left ventricular mass index with metabolic syndrome in comparison to hypertensive patients

Epicardial fat and coronary artery disease: Role of cardiac imaging

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