Abstract
Objectives:To study about the blood count of a risk factor related to physical measurement and metabolic syndrome, and the area of epicardial fat for medical checkup patients.Methods:From April 1st to November 15th in 2014, we measured the area of epicardial fat in the adult out patients under 60 years of age, who are in good health; and the patients took the blood test and low-dose lung CT. In order to identify the relationship between the area of epicardial fat and the risk factor of metabolic syndrome, we conducted correlation analysis. Then, we performed multiple regression analysis to evaluate an independent correlation of epicardial area. In addition, we computed the cut-off value of epicardial fat area by using ROC (Receiver Operating Characteristic) curve to foresee a metabolic syndrome factor that has the most proper sensitivity and specificity.Results:Waist circumference, fasting blood sugar, triglyceride, high-density lipoprotein (HDL) cholesterol, systolic blood pressure, and diastolic blood pressure were shown to be the factors that affect the area of epicardial fat. Therefore, if waist circumference, fasting blood sugar, triglyceride, systolic blood pressure, and diastolic blood pressure were increased, the area of epicardial fat would be significantly increased (P<0.05); and if high-density lipoprotein cholesterol was increased, the area of epicardial fat would be significantly decreased (P<0.05). Out of metabolic syndrome factors, waist circumference’s ROC curve area was 0.79 (Confidence Interval 0.73-0.84, P<0.05), which was the highest. The sensitivity was 83.7% when specificity was 70.1%, which proves that they are important factors for the diagnosis. In brief, metabolic syndrome is a disease that mostly appears in obesity patients, so we should try to monitor and cure the disease.Conclusion:The risk factors of metabolic syndrome can be managed through health care, and if we try to decrease the risk factors, we will be able to shrink epicardial fat area and decrease metabolic syndrome at the same time.
Highlights
In order to measure it, we drew the region of interest (ROI) in an epicardial fat area with the green color, so that we could measure only the part marked with green
We selected metabolic syndrome risk factors based on AHA/NHLBI17 in 2005, and we chose waist circumference for Asians, based on world health organization (WHO) of western pacific region.[18]
Analyzing the differences in epicardial fat area depending on metabolic syndrome factors: The differences in epicardial fat area depending on metabolic syndrome factors are shown in Table-II
Summary
The main factor that causes the metabolic disease is obesity by intake of instant food products or foods with high calories and high fat, increased stress level, and lack of exercise.[1,2]Obesity is a condition where fat has largely/ abnormally accumulated in the body, threatening the health condition; this condition is widespread all over the world as a chronic disease.[3,4] the outbreak of cardiovascular disease and metabolic disease due to obesity is constantly increasing, regardless of gender, age, and race.[5,6]The growth of obesity shortens people’s life span and encourages the outbreak of metabolic disease.[7,8] Recently, epicardial fat is being studied as a new indicator that predicts any internal fat within the thorax.[9,10,11] Epicardial fat is embryologically the same as intra-abdominal fat,[12] so if we take a closer look at it, we may be able to prevent or cure the outbreak of cardiovascular and metabolic diseases by predicting the diseases in advance. The main factor that causes the metabolic disease is obesity by intake of instant food products or foods with high calories and high fat, increased stress level, and lack of exercise.[1,2]. Obesity is a condition where fat has largely/ abnormally accumulated in the body, threatening the health condition; this condition is widespread all over the world as a chronic disease.[3,4] the outbreak of cardiovascular disease and metabolic disease due to obesity is constantly increasing, regardless of gender, age, and race.[5,6]. The measurement may not be precise, depending on the measurement methods
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