With the development of deep learning (DL) techniques, there has been a successful application of this approach to determine biological age from latent information contained in retinal images. Retinal age gap (RAG) defined as the difference between chronological age and predicted retinal age has been established previously to predict the age-related disease. In this study, we performed discovery genome-wide association analysis (GWAS) on the RAG using the 31,271 UK Biobank participants and replicated our findings in 8034 GoDARTS participants.
View Article and Find Full Text PDFBackground: Prior studies have demonstrated an association between retinal vascular features and cardiovascular disease (CVD), however most studies have only evaluated a few simple parameters at a time. Our aim was to determine whether a deep-learning artificial intelligence (AI) model could be used to predict CVD outcomes from routinely obtained diabetic retinal screening photographs and to compare its performance to a traditional clinical CVD risk score.
Methods: We included 6127 individuals with type 2 diabetes without myocardial infarction or stroke prior to study entry.
Cardiac metastases are a rare site for metastatic hepatocellular carcinoma (HCC). We describe an atypical presentation of an isolated right ventricular metastasis of HCC following successful treatment with no evidence of primary disease recurrence. The case presented as gradually worsening hypertension and erythrocytosis in the setting of normal surveillance scans and alpha-fetoprotein levels.
View Article and Find Full Text PDFAngiopoeitin-2 (Ang2) is a vascular growth factor involved in regulating angiogenesis and endothelial remodeling. Higher Ang2 levels have been associated with mortality in the general population and among male hemodialysis patients, but its effects on concomitant heart failure with reduced ejection fraction (HFrEF) and end-stage renal disease (ESRD) are unknown. Plasma samples from 73 ESRD patients and 40 healthy patients were analyzed for Ang2 concentrations using ELISA.
View Article and Find Full Text PDFBackground: Non-communicable diseases contribute to a significant global burden of disease and are associated with modifiable risk factors such as physical inactivity, unhealthy diet, tobacco use and excessive alcohol consumption. These risk factors are closely related with lifestyles and eating patterns which are often culturally embedded and managed differently in various health care settings.
Aim Of The Study: To assesses the applicability and feasibility of the KAPS (Knowledge, attitude, and practice) survey in generating data about knowledge, attitudes, and practices about healthy lifestyles within eastern Mediterranean settings and providing foundations for testing other models or development of a newer model in this area which captures and influence behavior changes towards healthy lifestyles.