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Objective: left ventricular hypertrophy (1eft ventricular hypertrophy, LVH) is due to hypertension causes left ventricular mass (Left ventricular mass, LVM) increases, including cardiac hypertrophy, connective tissue proliferation, cell volume increases with the number of cells did not change . Domestic and foreign research found that LVH is target organ damage in hypertensive patients most prominent manifestations of one of the affected patients with hypertension independent prognostic factor in patients with hypertension indicates that LVH increases the risk of cardiovascular complications increase greatly. Present research on the diagnosis of LVH mostly dominated by echocardiography, measurement methods used by the U.S. Association of Echocardiography (ASE) recommended methods of measurement, combined with body surface area calculated left ventricular mass index (left ventricular mass index, LVMI) . 2003 European Society of Hypertension prescribed LVH criteria: Male LVMI ≥ 125g/m2, women LVMI ≥ 110g/m2. However, the formation of LVH study abroad is not only a consequence of increased blood pressure, obesity, especially abdominal visceral fat accumulation in hypertensive LVH forming process also plays an important role. Many patients with insulin resistance and obesity, increased sympathetic activity, blood volume and output increases, these factors can lead to LVH. If the combined hypertension and obesity exists, LVH is more significant. BMI (Body mass index, BMI), waist-hip ratio (Waist-to-hip ration, WHR), waist / height ratio (Waist-to-height ration, WHtR) is commonly used in obesity assessment index. However, recent studies have found a lot of these indicators have appeared normal human obesity complications. Therefore, obesity research focus has shifted from pure fat mass and obesity transferred to human adipose tissue (adipose tissue, AT) distribution, AT distribution, especially visceral fat distribution and obesity complications exists between the more important links. Studies have shown that different adipose tissue metabolic disease risk factors are different, visceral fat is the body's physiological active ingredient adipose tissue, visceral fat cells have a higher lipolysis activity and anti-lipid catabolism of insulin resistance, and can secrete vasoactive inflammatory factors, because of their special anatomical and metabolic activity of some scholars believe that visceral fat may be the only pathogenic adipose tissue. Therefore, this need for a regional distribution of adipose tissue quantitative measurement techniques, while CT technology provides a more direct means of measurement, it can on body fat, body AT volume, particularly at the regional AT, such as such as subcutaneous or intra-abdominal AT accurate quantification. At present, studies have shown that the level of a single scan umbilical whole abdominal AT distribution can be estimated using the V / S ratio as a cutoff value (eg ≥ 0.6), you can determine and predict obesity complications. Obesity on the dangers of hypertension LVH has attracted much attention, CT measurement and evaluation of abdominal fat (including visceral fat and subcutaneous fat) distribution has also been recognized, however, to predict CT measurement of abdominal fat distribution hypertensive LVH whether the ratio of BMI, WHR, WHtR simple measurement of obesity and other indicators are few studies superior. This topic aims to study measured by CT abdominal visceral fat (visceral adipose tissue, VAT) and subcutaneous fat (subcutaneous adipose tissue, SAT) ratio (V / S), BMI, WHR and WHtR relationship with essential hypertension LVH explore the V / S is larger than BMI, WHR and WHtR other simple measures of obesity hypertension LVH superior predictive indicators, so as to more accurately predict the degree of risk of hypertension, early intervention for clinical risk factors for disease control to provide a basis? Methods: March 2009 to October 2009 in the Department of Cardiology, the Second Hospital of Hebei Medical University Hospital and in accordance with 2005, \after admission record age, sex, blood pressure, height, weight, waist circumference, hip circumference, and cardiac ultrasound examination, and fasting OK abdominal CT. Obtained by calculating V / S, BMI, WHR, WHtR and LVMI. By male LVMI ≥ 125 g/m2, women LVMI ≥ 110g/m2 divided into LVH group and non-LVH group and calculate LVMI with various parameters (age, blood pressure, V / S, BMI, WHR and WHtR) relationship. SPSS13.0 statistical software for statistical analysis. Measurement data were expressed as mean ± standard deviation (x ± s), the two groups were compared using two sample t-test; using multiple linear regression with LVMI as independent variables, V / S, BMI, WHR and WHtR as the dependent variable to analyze the relationship between various parameters and LVMI, P lt; 0.05 was considered statistically significant. Results: LVH group with hypertension hypertensive non-LVH group Age (59.54 ± 9.17 vs 61.37 ± 8.76), systolic blood pressure (149.26 ± 12.73 vs 147.49 ± 11.70) mmHg, diastolic blood pressure (93.12 ± 7.08 vs 90.54 ± 6.42) mmHg difference was not statistically significant (P gt; 0.05), and between the two groups V / S (1.36 ± 0.33 vs 0.83 ± 0.26), BMI (26.96 ± 2.18 vs 24.42 ± 2.27), WHR (1.03 ± 0.08 vs 0.92 ± 0.04) and WHtR (0.62 ± 0.06 vs 0.54 ± 0.07) were different, hypertensive LVH group was significantly higher than non-hypertensive LVH group, with statistical significance (P lt; 0.05) . Multiple linear regression line, the results show V / S, WHtR, WHR and BMI with the linear regression relationship between LVMI, standardized regression coefficients were 0.612 (P = 0.000), 0.269 (P = 0.001), 0.137 (P = 0.011 ), and 0.102 (P = 0.042). Conclusion: LVH group and non-hypertensive LVH group between the two groups systolic blood pressure, diastolic blood pressure and age were no differences (P gt; 0.05), hypertensive LVH group V / S, WHtR, WHR, and BMI compared with non-LVH group increased significantly (P lt; 0.05), suggestive of primary hypertension in the same blood pressure, age, condition, obesity increased LVMI. With LVMI as the dependent variable, V / S, WHtR, WHR and BMI as independent variables row multiple linear stepwise regression analysis found that the above parameters have influence on LVMI, which reflects abdominal visceral fat distribution V / S impact on LVMI Max.
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