Publications by authors named "Roda A Mohamed"

Article Synopsis
  • - The study explores the role of pericoronary adipose tissue attenuation (PCAT) as a potential marker of inflammation in coronary artery disease by analyzing data from 466 patients who underwent coronary CT angiography (CCTA).
  • - Findings revealed that PCAT measurements varied significantly between calcified and soft plaques, showing a positive association with total and non-calcified plaque burdens, while being negatively linked to calcified plaque burden.
  • - The research concluded that PCAT had a more pronounced effect on plaque characteristics in the absence of different plaque types, indicating its potential importance in understanding coronary artery disease progression.
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Background: The relationship between environmental pollutants, specifically air pollution and noise, and cardiovascular disease is well-recognized. However, their combined effects on cardiovascular health are not fully explored.

Objectives: To review evidence on the correlation between air pollution and noise exposure and cardiovascular disease incidence and mortality.

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Background: Cardiovascular disease remains the primary cause of morbidity and mortality despite advancements in the treatment of patients with type 2 diabetes. Effective diabetes management extends beyond blood glucose control and includes cardiovascular prevention and treatment. However, the conventional healthcare model often emphasizes single-disease-specific management, leading to fragmented care.

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Introduction: The AIRCARD study is designed to investigate the relationship between long-term exposure to air and noise pollution and cardiovascular disease incidence and mortality. We aim to conduct a robust prospective cohort analysis assessing the cumulative and differential impacts of air and noise pollution exposure on cardiovascular disease and mortality. This study will adjust for relevant confounders, including traditional cardiovascular risk factors, socioeconomic indicators, and lipid-lowering agents.

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Introduction: In recent years, the waiting time for outpatient echocardiography has been increasing. This has potential consequences for patients with de novo systolic heart failure (HF). Thus, screening methods for HF are needed.

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We investigated whether prediabetes diagnosed by hemoglobinA1c (HbA1c) or oral glucose tolerance test (OGTT) could predict presence and severity of coronary artery disease (CAD) in symptomatic patients. The presence of plaque, stenosis, plaque characteristics, and coronary artery calcium (CAC) were evaluated by coronary CT angiography in 702 patients with suspicion of CAD. Patients were classified by glycemic status using the American Diabetes Association criteria for HbA1c and OGTT, and compared to their respective normal ranges.

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Article Synopsis
  • Deep learning image reconstruction (DLIR) enhances image quality and reduces noise in coronary imaging.
  • The study involved 51 obese patients evaluated using two different CT scanners with varying tube currents and reconstruction methods.
  • Results showed that images from the upgraded scanner with DLIR were significantly clearer and more diagnostically useful, with 88% deemed adequate for diagnosis compared to 69% using a different method.
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