The Relationship Among Fasting Blood Glucose, Lipid Panel, and Global Scoring of Myocardial Perfusion Imaging

Özet

Objectives: This study aimed to evaluate the impact of fasting blood glucose and lipid panel values on the scores in myocardial perfusion scintigraphy (MPS) and the percentage of perfusion defects. Materials and Methods: Medical data of 1120 consecutive patients were reviewed. The fasting blood glucose and lipid panel values within ±30 days from MPS imaging were considered. A total of 274 (24%) patients (125 female, 149 male) were included in the study. Summed stress score (SSS), summed rest score, summed difference score (SDS), stress total perfusion defect (TPD), rest TPD, and difference TPD values were obtained by using a semi-quantitative (17 segment model, 5-point scoring) method. The ejection fraction (EF) was measured via the MPS images that synchronized with an electrocardiogram. Fasting blood glucose, lipid profile, ejection fraction, gender, and the presence of coronary artery disease were compared to MPS scores and TPD percentages by using the t-test. A logistic regression test was used to detect the parameters that might cause abnormal SSS and SDS scores. Results: Perfusion defects (SSS>3) were observed in 196 (72%) patients. In 172 (63%) of these patients, there was a reversible perfusion defect (SDS>2). During MPS imaging, decreased HDL ( 125 mg/dL) levels in all patients, elevated triglyceride (>200 mg/dL) values in the coronary artery disease (CAD) + group, high total cholesterol (>200 mg/dL) and decreased HDL (<40 mg/dL) levels in the non-CAD group were the factors that were found to have statistically significant association with higher global scores. Independently from the fasting blood glucose and lipid profile, impaired EF values (<50%) and male gender led to significantly higher global scores. While EF value and male gender were determined as independent factors for abnormal SSS, triglyceride and female gender were found to be in association with abnormal SDS. Conclusion: This study emphasises that fasting blood glucose, lipid profile, gender, and EF values may be used as a beneficial tool to predict the MPS global scores and perfusion defect rates.