The relationship between liver and kidney dysfunction with acute myocardial infarction

Document Type : Original Article

Authors

1 Medical Biochemistry, Faculty of Medicine-Minia University, Egypt

2 Professor and Head of Department of Medical Biochemistry, Faculty of Medicine, Minia University, Minia, Egypt

3 Department of Medical Microbiology and Immunology, Faculty of Medicine, Minia University, Egypt

4 Department of Medical Biochemistry, Faculty of Medicine, Minia University, Minia, Egypt

Abstract

Background: In both developed and developing countries, coronary artery disease (CAD) is a major public health concern. One of the main reasons people die on a global scale is acute myocardial infarction (AMI). The narrowing or blocking of the arteries that feed blood to the heart muscle as a result of atherosclerosis and its complications, or any other condition that causes an oxygen supply demand mismatch, is what causes coronary artery disease. There are a number of risk factors that can affect the prognosis of coronary artery disease, including arterial hypertension, dyslipidemia, diabetes mellitus, obesity, smoking, and genetic factors. These factors are associated with the injury of endothelial cells and the advancement of atherosclerosis. Unfortunately, diagnostic techniques for CAD prognosis are lacking in both simplicity and efficacy. Aim of the study; In light of this, the present research set out to use the data we gathered from our retrospective analysis to assess the usefulness of liver and kidney function tests in predicting the prognosis of patients with acute myocardial infarction (AMI). Methods: Minya University Hospital's Critical Care Unit accepted 30 patients with acute myocardial infarction. Samples of peripheral venous blood were drawn when the patient was admitted. Fresh samples were tested for liver and kidney function using (FLEXOR Pro XL, ELI Tech, France). Results: There is a strong link between hepatic and renal dysfunction and AMI. Conclusion: The findings supported that hepatic and renal dysfunction were applicable to the prediction of risk in acute myocardial infarction patients.

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