Predictive performance of CHA2DS2-VASc-HS score and Framingham risk scores for coronary disease severity in ischemic heart disease patients with invasive coronary angiography.

OBJECTIVE: The objective of this study was to determine the predictive performance and compatibility of CHA2DS2-VASc-HS scores and Framingham risk scores (FRS) in patients with coronary angiography. PATIENTS AND METHODS: This cross-sectional analysis study enrolled 98 patients with ischemic heart disease who were indicated for invasive coronary angiography. Sensitivity and specificity were determined using the cut-off values of the ROC curve. The Gensini score was used to evaluate the correlation. RESULTS: The cut-off value of the Congestive heart failure, hypertension, age 75 years, diabetes mellitus, stroke, vascular disease, age 65-74 years, sex category - hyperlipidemia, smoking (CHA2DS2-VASc-HS) score was 2.5, and for FRS, it was 14.5. The area under the curve (95% CI) for the CHA2DS2-VASc-HS score and FRS were 0.76 (0.66, 0.85) and 0.80 (0.71, 0.85), respectively. For every 1-point increase in the CHA2DS2-VASc-HS score, the Gensini score increased by 0.44 (r = 0.56; R2 = 0.19, Beta = 0.44, p < 0.01), and the number of stenosis coronary branches increased by 0.55 (r = 0.56; R2 = 0.30, Beta = 0.55, p < 0.01). For every 10-point increase in FRS, the Gensini score increased by 3.8 (r = 0.57; R2 = 0.14, Beta = 0.38, p < 0.01), and the number of stenosis coronary branches increased by 5 (r = 0.53; R2 = 0.25, Beta = 0.5, p < 0.01). CONCLUSIONS: Our study demonstrated a high predictive performance of coronary artery injury using the CHA2DS2-VASc-HS score and Framingham risk scores. These scores could be applied in predicting ischemic heart disease in non-symptomatic cases where invasive coronary angiography is not indicated.

Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI.

OBJECTIVE: Body mass index (BMI) is commonly used to assess obesity, which is associated with numerous diseases and negative health outcomes. BMI has been shown to be a heritable, polygenic trait, with close to 100 loci previously identified and replicated in multiple populations. We aim to replicate known BMI loci and identify novel associations in a trans-ethnic study population. SUBJECTS: Using eligible participants from the Population Architecture using Genomics and Epidemiology consortium, we conducted a trans-ethnic meta-analysis of 102 514 African Americans, Hispanics, Asian/Native Hawaiian, Native Americans and European Americans. Participants were genotyped on over 200 000 SNPs on the Illumina Metabochip custom array, or imputed into the 1000 Genomes Project (Phase I). Linear regression of the natural log of BMI, adjusting for age, sex, study site (if applicable), and ancestry principal components, was conducted for each race/ethnicity within each study cohort. Race/ethnicity-specific, and combined meta-analyses used fixed-effects models. RESULTS: We replicated 15 of 21 BMI loci included on the Metabochip, and identified two novel BMI loci at 1q41 (rs2820436) and 2q31.1 (rs10930502) at the Metabochip-wide significance threshold (P<2.5 × 10-7). Bioinformatic functional investigation of SNPs at these loci suggests a possible impact on pathways that regulate metabolism and adipose tissue. CONCLUSION: Conducting studies in genetically diverse populations continues to be a valuable strategy for replicating known loci and uncovering novel BMI associations.

Hemorrhagic pseudotumors of iliac bones in Noonan syndrome: PET/CT imaging / Pseudotumores hemorrágicos de los huesos ilíacos en el síndrome de Noonan: imágenes de PET/TC

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