摘要
AIM: To assess the relationship between non-alcoholic fatty liver disease(NAFLD) with metabolic risk factors and brachial ankle pulse wave velocity(ba PWV). METHODS: A total of 8603 subjects(6662 males and 1941 females) were enrolled during an annual health check-up. Fatty liver was examined using a Philips HD 11 XE multi-function color Doppler diagnostic instrument, and ba PWV was determined using a novel arteriosclerosis detection device. Blood pressure(BP), fasting plasma glucose(FPG), waist circumference( W C), p l a s m a t r i g l y c e r i d e s( TG), h i g h- d e n s i t y lipoprotein(HDL), total cholesterol(TC), low-density lipoprotein(LDL) and uric acid(UA) were measured using standard methods. The relationship between fatty liver with metabolic risk factors and ba PWV was analyzed using regression analysis and the χ2 test. RESULTS: The values and abnormal rates of ba PWV were significantly different between NAFLD patients and non-NAFLD subjects(P < 0.001). In addition, the values of ba PWV were different by gender between NAFLD patients and non-NAFLD subjects. The OR values in females, males, and the entire population were 3.33, 1.67, and 2.13, respectively(P < 0.001). The incidence of high ba PWV increased with increasing degree of NAFLD(levels 0, 1, 2, and 3)(P < 0.001), which was 45.9%, 54.5%, 60.2%, and 71.4% in malesand 27.0%, 49.1%, 55.60%, and 60.0% in females(P < 0.001), respectively. Logistic regression analysis showed that the OR value for ba PWV in the nonmetabolic syndrome group and the metabolic syndrome group was 1.28 vs 1.14(males) and 2.55 vs 0.98(females). The OR values for ba PWV in the non-high-BP and high-BP, non-high-WC and high-WC, non-high-FPG and high-FPG, non-high-TG and high-TG, non-high-HDL and high-HDL, non-high-TC and high-TC, non-high-LDL and high-LDL, non-high-UA and high-UA groups were 3.38 vs 1.19, 3.50 vs 1.44, 2.80 vs 2.30, 3.29 vs 1.88, 3.03 vs 3.28, 3.35 vs 2.70, 3.93 vs 1.66, and 3.20 vs 2.34, respectively, in females(P < 0.001), and were 1.37 vs 1.34, 1.56 vs 1.2
AIM: To assess the relationship between non-alcoholic fatty liver disease(NAFLD) with metabolic risk factors and brachial ankle pulse wave velocity(ba PWV). METHODS: A total of 8603 subjects(6662 males and 1941 females) were enrolled during an annual health check-up. Fatty liver was examined using a Philips HD 11 XE multi-function color Doppler diagnostic instrument, and ba PWV was determined using a novel arteriosclerosis detection device. Blood pressure(BP), fasting plasma glucose(FPG), waist circumference( W C), p l a s m a t r i g l y c e r i d e s( TG), h i g h- d e n s i t y lipoprotein(HDL), total cholesterol(TC), low-density lipoprotein(LDL) and uric acid(UA) were measured using standard methods. The relationship between fatty liver with metabolic risk factors and ba PWV was analyzed using regression analysis and the χ2 test. RESULTS: The values and abnormal rates of ba PWV were significantly different between NAFLD patients and non-NAFLD subjects(P < 0.001). In addition, the values of ba PWV were different by gender between NAFLD patients and non-NAFLD subjects. The OR values in females, males, and the entire population were 3.33, 1.67, and 2.13, respectively(P < 0.001). The incidence of high ba PWV increased with increasing degree of NAFLD(levels 0, 1, 2, and 3)(P < 0.001), which was 45.9%, 54.5%, 60.2%, and 71.4% in malesand 27.0%, 49.1%, 55.60%, and 60.0% in females(P < 0.001), respectively. Logistic regression analysis showed that the OR value for ba PWV in the nonmetabolic syndrome group and the metabolic syndrome group was 1.28 vs 1.14(males) and 2.55 vs 0.98(females). The OR values for ba PWV in the non-high-BP and high-BP, non-high-WC and high-WC, non-high-FPG and high-FPG, non-high-TG and high-TG, non-high-HDL and high-HDL, non-high-TC and high-TC, non-high-LDL and high-LDL, non-high-UA and high-UA groups were 3.38 vs 1.19, 3.50 vs 1.44, 2.80 vs 2.30, 3.29 vs 1.88, 3.03 vs 3.28, 3.35 vs 2.70, 3.93 vs 1.66, and 3.20 vs 2.34, respectively, in females(P < 0.001), and were 1.37 vs 1.34, 1.56 vs 1.2
基金
Supported by Grants from Public Interest Research and Social Development Program of Zhejiang Province,No.2011C23098
Biomedical Science and Technology Foundation of Zhejiang Province,No.2012B20123
Education bureau of Zhejiang Province,China,No.Y201223481
