Publications by authors named "J E Dazard"
Article Synopsis
- The study explored how the built environment, analyzed through satellite images, impacts the risk of major adverse cardiovascular events (MACE) among patients undergoing coronary artery calcium (CAC) scoring in Northern Ohio.
- Researchers used a deep neural network to extract features from Google Satellite Imagery, revealing a significant association between a constructed GSI risk score and MACE risk, particularly in patients with low CAC scores.
- However, when adjusting for social vulnerability factors, the strength of this association weakened, indicating that social determinants of health play a crucial role in cardiovascular risk assessments.
Background: Persistent mineralocorticoid receptor activation is a pathologic response in type 2 diabetes and chronic kidney disease. Whereas mineralocorticoid receptor antagonists are beneficial in reducing cardiovascular complications, direct mechanistic pathways for these effects in humans are lacking.
Methods: The MAGMA trial (Mineralocorticoid Receptor Antagonism Clinical Evaluation in Atherosclerosis) was a randomized, double-blind, placebo-controlled trial in patients with high-risk type 2 diabetes with chronic kidney disease (not receiving dialysis) on maximum tolerated renin-angiotensin system blockade.
Article Synopsis
- The built environment significantly impacts cardiovascular disease development, but previous evaluations have faced challenges due to limited and inconsistent data.
- This cross-sectional study analyzed satellite images from Google to assess how the built environment relates to cardiometabolic diseases like coronary heart disease, stroke, and chronic kidney disease across seven urban cities.
- Using advanced machine learning techniques, the study found strong associations between specific built environment features and the prevalence of these diseases, achieving R-squared values of 0.60 for CHD, 0.65 for stroke, and 0.64 for CKD.
Urban environments contribute substantially to the rising burden of cardiometabolic diseases worldwide. Cities are complex adaptive systems that continually exchange resources, shaping exposures relevant to human health such as air pollution, noise, and chemical exposures. In addition, urban infrastructure and provisioning systems influence multiple domains of health risk, including behaviors, psychological stress, pollution, and nutrition through various pathways (eg, physical inactivity, air pollution, noise, heat stress, food systems, the availability of green space, and contaminant exposures).
View Article and Find Full Text PDFBackground And Aims: Built environment plays an important role in the development of cardiovascular disease. Tools to evaluate the built environment using machine vision and informatic approaches have been limited. This study aimed to investigate the association between machine vision-based built environment and prevalence of cardiometabolic disease in US cities.
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