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Association between Metabolic Syndrome and Acute Myocardial Infarction (AMI).

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Metabolic syndrome parameters like high cholesterol, triglycerides, and blood pressure are significant risk factors for acute myocardial infarction (AMI). Early assessment of these biochemical markers aids in better management of AMI patients.

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Area of Science:

  • Biochemistry
  • Cardiology
  • Metabolic Syndrome Research

Background:

  • Metabolic syndrome is increasingly recognized as a significant risk factor for cardiovascular diseases.
  • Acute Myocardial Infarction (AMI) poses a major health burden globally.
  • Understanding the biochemical profile of metabolic syndrome in AMI patients is crucial for risk stratification and management.

Purpose of the Study:

  • To evaluate biochemical parameters of metabolic syndrome in patients with Acute Myocardial Infarction (AMI).
  • To assess serum lipid profiles (total cholesterol, triacylglycerol, HDL-C, LDL-C) and fasting blood glucose (FBS) in AMI patients.
  • To establish the association between metabolic syndrome components (age, sex, BMI, waist circumference, waist-hip ratio, blood pressure) and AMI.

Main Methods:

  • A case-control study involving 120 subjects (60 AMI cases, 60 non-AMI controls).
  • Biochemical analyses included serum total cholesterol, triacylglycerol, HDL-C, LDL-C, and FBS.
  • Statistical analysis using Student's unpaired 't' test and SPSS software to compare case and control groups.

Main Results:

  • AMI patients showed significantly higher serum triacylglycerol, FBS, and total cholesterol compared to controls (p<0.001).
  • HDL-C levels were significantly decreased in AMI patients (p<0.001).
  • Systolic and diastolic blood pressure, and waist circumference were significantly increased in AMI patients (p<0.05 and p<0.001, respectively).
  • History of diabetes mellitus and hypertension was more prevalent in AMI cases (p<0.001).

Conclusions:

  • Significant alterations in lipid profile, blood pressure, FBS, and waist circumference are associated with AMI.
  • Metabolic syndrome components are confirmed as significant risk factors for AMI.
  • Estimation of these parameters is recommended for effective management of AMI.