The ratio of visceral to subcutaneous fat, a metric of body fat distribution, is a unique correlate of cardiometabolic risk.

AIMS/HYPOTHESIS: The anatomic location of excess body fat has an impact on associated cardiometabolic morbidity, and visceral adipose tissue (VAT) is more pathogenic than subcutaneous adipose tissue (SAT). However, VAT or SAT alone provides little information regarding the relative distribution of body fat. We hypothesised that the propensity to store energy in VAT relative to SAT depots may be a correlate of cardiometabolic risk, and tested this hypothesis using the VAT/SAT ratio as a metric of fat distribution. METHODS: We investigated associations of the VAT/SAT ratio with cardiometabolic traits in 3,223 participants (48% women) from the Framingham Heart Study. Fat depots were quantified by multidetector computed tomography (CT) scanning. RESULTS: In women and men, higher VAT/SAT ratio was associated (p < 0.05) with most assessed cardiovascular risk factors reflecting blood pressure, dyslipidaemia and insulin resistance. Additional adjustment for BMI did not materially change the findings in women, and generally strengthened associations in men. Further adjustment for VAT attenuated some associations in women, but those with lower HDL-cholesterol, higher triacylglycerol (both p < 0.0001) and higher prevalence of hypertension (p = 0.02), diabetes (p = 0.01) and the metabolic syndrome (p = 0.005) remained significant. Similarly, in men, associations with higher systolic (p = 0.006) and diastolic blood pressure (p = 0.03), higher fasting glucose (p = 0.0005), lower HDL-cholesterol and higher triacylglycerol (both p < 0.0001) and higher prevalence of diabetes (p = 0.006) remained significant. CONCLUSIONS/INTERPRETATION: VAT/SAT ratio is a correlate of cardiometabolic risk, above and beyond BMI and VAT. The propensity to store fat viscerally versus subcutaneously may be a unique risk factor independent of absolute fat volumes.

[Implantable loop recorders in the diagnosis of syncope]. / Implantierbare Loop-Rekorder in der Synkopendiagnostik.

In syncope patients, it is essential to make the right diagnosis with respect to underlying etiology. Cardiac (arrhythmic and structural) syncopal episodes carry untoward prognostic implication compared with reflex syncope. While rhythm-symptom correlation of a spontaneous syncopal episode is key to making the correct diagnosis, in case of unclear syncope the early implantation of a loop recorder leads to faster, more efficacious, and more cost-effective diagnosis. This review article summarizes the current data regarding diagnostic accuracy and clinical role of implantable loop recorders. It outlines the superiority of loop recorders in the management of unclear syncope according to present knowledge.

Association between anthropometric obesity measures and coronary artery disease: a cross-sectional survey of 16,657 subjects from 444 Polish cities.

BACKGROUND: Excessive body weight is known to cluster with cardiovascular (CV) risk factors, but it is not clear which anthropometric obesity measure provides best independent predictive value of coronary artery disease (CAD). METHODS AND RESULTS: We explored associations between CAD and four different obesity measures (body mass index (BMI), waist circumference, waist/height and waist/height(2)) in a cohort of 16 657 subjects (40.4% men; 20.8% CAD patients), recruited by 700 primary care physicians in 444 Polish cities. 42.8% of subjects were classified as overweight, 31.7% as obese and 39.8% had abdominal obesity. In univariate analyses all obesity measures correlated with CAD (p>0.001), but waist/height(2) was the strongest discriminator between CAD patients and controls. Age-adjusted and sex-adjusted analyses confirmed a graded increase in CAD risk across distributions of all four obesity measures-1 standard deviation (SD) increase in BMI, waist, waist/height and waist/height(2) increased the odds of CAD by 1.23, 1.24, 1.26 and 1.27, respectively (all p<0.001). In models fully adjusted for CV risk factors, waist/height(2) remained the strongest obesity correlate of CAD, being the only independent associate of CAD in men. In a fully adjusted BMI-waist circumference stratified model, sarcopenic obesity (waist > median, BMI < median) and simple obesity (waist and BMI > median) were the strongest independent associates of CAD in men (p = 0.008) and women (p>0.001), respectively. CONCLUSION: This cross-sectional study showed that waist/height(2) may potentially offer a slightly higher predictive value of CAD than BMI or waist circumference and revealed an apparent sexual dimorphism in correlations between obesity measures and CAD.