Epicardial fat and insulin resistance in healthy older adults: a cross-sectional analysis.

Insulin resistance (IR) and cardiovascular diseases (CVD) are relevant concerns in the elderly population; as the world's population ages, IR and CVD are two universal public health problems. While a link between IR a CVD has been established, the mediating mechanisms are uncertain and rigorous investigations are needed to fully elucidate them. The study aimed at assessing the relationship between epicardial fat (EF), an indicator of cardiovascular risk, and IR in Italian free-living elderly (n = 89). Baseline data from a previous cohort was used. Anthropometric measurements, EF, and IR-related variables, including the HOMA-IR index and other biochemical parameters were obtained. The correlation between EF and IR was explored. Further analysis was conducted to identify significant differences regarding IR variables among EF quartiles. EF correlated positively with glucose levels in females, males and the total population. The pairwise comparison among EF quartiles showed significant differences in glucose levels, HOMA-IR index, triglycerides, and total cholesterol levels. To our knowledge, this is the only study assessing the relationship between EF and IR in healthy elderly, while most of the studies have investigated EF and IR in diseased populations. Further research with a longitudinal approach should be conducted to design concrete conclusions about this relationship.

Predicting visceral adipose tissue in older adults: A pilot clinical study.

BACKGROUND & AIMS: Visceral adipose tissue (VAT) is a recognized risk factor for cardiometabolic disease, and dual energy X-ray absorptiometry (DXA) has been recently validated for the quantification of VAT. This study aims to explore VAT prediction by utilizing bioimpedance analysis (BIA), anthropometric measures and biochemical markers. METHODS: Data from BIA, anthropometric measures, biochemical markers and DXA scans were collected in 1064 older adults participants (761 F, 303 M) with a mean age of 82 ± 6 years old. DXA-VAT was quantified at the android region (DXA-VAT - volume cm3) using the enCore software. Multifactorial linear regression analysis was used to establish the proposed predicting equations and define the values more associated with VAT. RESULTS: In our multivariate model, the main VAT predictable markers were in both genders, weight (kg), Triglycerides (mmol/L) and height (m). These models (stratified for gender) included the BIA outcomes as regressor factors. The VAT calculation equation formula was VAT = 148.89 + (weight (kg)∗33.81) + (Trg (mmol/L)∗1.41) + (height (m)∗-8.99) for females and VAT = 1481.22 + (weight (kg)∗43.94) + (Trg (mmol/L)∗-21.27) + (height (m)∗3.57) for males. In both equations, the r2 was 0.76. The Network analysis showed a strong link network between weight and resistance (Rz). CONCLUSIONS: The independent and combined use of anthropometric measures and biochemical markers could accurately predict VAT in the older adults' population. Because of the strong link between Rz and weight, BIA might be included in future equations predicting VAT but different data pools and populations are needed.

Epicardial Fat Thickness in Non-Obese Neurologically Impaired Children: Association with Unfavorable Cardiometabolic Risk Profile.

BACKGROUND: Cardiovascular risk is reported in disabled children and epicardial fat (EF) is considered an independent predictor of cardiovascular disease (CVD). No data on the EF thickness (EFT) evaluation in disabled children have been published. OBJECTIVE: We investigated EFT in neurologically impaired (NI) children; its relationship with their metabolic profile was also considered. METHODS: Clinical data, body composition estimation, biochemical profile, and ultrasound-measured EFT were performed in 32 disabled patients (12.4 ± 6.3 years). Pathological parameters were defined using the following criteria: waist circumference >95th percentile, waist to height ratio (WHtR) >0.5, total cholesterol and triglycerides (TG) values >95th percentile, high density lipoprotein cholesterol <5th percentile, fasting blood glucose >100 mg/dL, homeostasis model assessment for insulin resistance (HOMA) >97.5th percentile, and EFT >3.6 mm. RESULTS: EFT values in NI children were higher compared with control group values (p = 0.02). EFT correlated with gender (p < 0.001), age (p = 0.02), pubertal stage (p = 0.04), as well as WHtR (p = 0.03). A correlation between EFT and leptin was also noted (p = 0.04). EFT levels significantly correlated with pathological TG (p = 0.01) and HOMA-IR (p = 0.04). CONCLUSIONS: Higher EFT was observed in NI children compared with controls. EFT values correlated with clinical, metabolic, and endocrinological parameters. Ultrasound-measured EFT could be used to promptly detect subclinical CVD and to prevent adverse outcomes in disabled children.