Basheer Marzoog

Submitted: 14 February 2025 You are already at the latest version Ischemic heart disease (IHD) is a global health crisis exacerbated by diagnostic and preventive challenges. This study investigated associations between lipid profiles, inflammation biomarkers, and exhaled volatile organic compounds (VOCs) in IHD using machine learning.

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Abstract Background: Ischemic heart disease (IHD) has the highest mortality rate in the globe. This returns to the poor diagnostic and therapeutic strategies including the early prevention methods. Aims: To assess the changes in the single channel electrocardiography (SCECG) at rest and on exercise test in patients with vs without IHD confirmed by stress computed tomography myocardial perfusion (CTP) imaging with vasodilatation stress-test.