Ethnicity and skin autofluorescence-based risk-engines for cardiovascular disease and diabetes mellitus.

Skin auto fluorescence (SAF) is used as a proxy for the accumulation of advanced glycation end products (AGEs) and has been proposed to stratify patients into cardiovascular disease (CVD) and diabetes mellitus (DM) risk groups. This study evaluates the effects of seven different ethnicities (Arab, Central-East African, Eastern Mediterranean, European, North African, South Asian and Southeast Asian) and gender on SAF as well as validating SAF assessment as a risk estimation tool for CVD and DM in an Arabian cohort. SAF data from self-reported healthy 2,780 individuals, collated from three independent studies, has been linear modelled using age and gender as a covariate. A cross-study harmonized effect size (Cohens'd) is provided for each ethnicity. Furthermore, new data has been collected from a clinically well-defined patient group of 235 individuals, to evaluate SAF as a clinical tool for DM and CVD-risk estimation in an Arab cohort. In an Arab population, SAF-based CVD and/or DM risk-estimation can be improved by referencing to ethnicity and gender-specific SAF values. Highest SAF values were observed for the North African population, followed by East Mediterranean, Arab, South Asian and European populations. The South Asian population had a slightly steeper slope in SAF values with age compared to other ethnic groups. All ethnic groups except Europeans showed a significant gender effect. When compared with a European group, effect size was highest for Eastern Mediterranean group and lowest for South Asian group. The Central-East African and Southeast Asian ethnicity matched closest to the Arab and Eastern Mediterranean ethnicities, respectively. Ethnic and gender-specific data improves performance in SAF-based CVD and DM risk estimation. The provided harmonized effect size allows a direct comparison of SAF in different ethnicities. For the first time, gender differences in SAF are described for North African and East Mediterranean populations.

Increased body mass index is associated with larger renal calculi.

OBJECTIVE: To examine the relationship between the body mass index and the size of renal stones in a group of patients with urolithiasis. METHODS: One-hundred seventy-three patients with renal stones were enrolled. Body mass index was calculated on the basis of height and weight measurements, and stone size was either measured accurately (143 patients) or estimated by the radiologist or managing urologist (30 patients). Body mass index and stone size were then cross-tabulated and the results were analyzed. RESULTS: Patients with a body mass index of ≥ 25 kg/m(2) (overweight or obese) were found to have 29 (16.8%) small, 84 (48.5%) medium, and 25 (14.5%) large stones, whereas patients in the underweight or normal body mass index categories had 7 (9.5%) small, 19 (10.9%) medium, and 9 (10.6%) large stones. Of the study group, 109/173 (63%) were found to be overweight or obese, of whom all had renal stones ≥ 1 cm, ie, medium or large, when measured at the greatest diameter, indicating a tendency to have larger stones with increasing body mass index that was statistically significant (P = .0001). CONCLUSION: A clear relationship exists between increased body mass index and renal stone size, with overweight and obese patients having medium and large stones more frequently than patients with underweight or normal body mass index.