沈阳市成年居民脂肪肝的流行病学调查

Virtual touch tissue quantification and biochemical indicators for quantitative diagnosis of fatty liver

AIM: To explore the value of virtual touch tissue quantification (VTQ) measuring the liver shear wave speed and biochemical indicators in the quantitative diagnosis and classification of fatty 1ive.

METHODS: One hundred patients with fatty liver and 40 normal controls were included in the study. The shear wave speed of the liver was measured by VTQ, and alanine aminotransferase (ALT), aspartate aminotransferase (AST), triglycerides (TG), high density lipoprotein (HDL-C) and low density lipoprotein (LDL-C) were measured. The relationship of these quantitative indexes with fatty liver was analyzed.

RESULTS: Among 100 patients with fatty liver, 46 had mild disease, 32 had moderate disease and 22 had severe disease. The values of shear wave speed, ALT, AST, TG, HDL-C and LDL-C were significantly different (P < 0.05 for all) between the control and fatty liver groups. The difference in the shear wave speed was not significant between the normal group and mild fatty liver group (1.05 m/s ± 0.09 m/s vs 1.09 m/s ± 0.12 m/s, P > 0.05). The shear wave speed was the highest in the moderate (1.32 m/s ± 0.14 m/s) and the lowest (0.85 m/s ± 0.07 m/s) in the serve fatty liver group. The shear wave speed in the mild-moderate fatty liver group was closely related with ALT, AST, HDL-C, LDL-C, TC and TG (P < 0.05 for all), of which HDL-C was negatively correlated with the shear wave speed while others were positively correlated with.

CONCLUSION: VTQ and biochemical indicators have appreciable value in quantitative diagnosis of fatty liver and provide a reliable and objective basis for clinical diagnosis and treatment of this disease.

Prevalence and risk factors for non-alcoholic fatty liver disease in the mining area of Pingdingshan city

AIM: To analyze the prevalence of and main risk factors for non-alcoholic fatty liver disease (NAFLD) in Pingdingshan city.

METHODS: A total of 2299 participants were selected from 66 crew teams in Pingdingshan city by cluster random sampling. Questionnaires were used to investigate the prevalence of NAFLD, and non-conditional Logistic regression analysis was used for analysis of risk factors for NAFLD.

RESULTS: The overall prevalence of NAFLD was 22.48% (517/2299). The prevalence rate of NAFLD was significantly higher in males than in females [31.12% (366/1176) vs 13.41% (151/1123), P < 0.05]. Overweight (OR = 4.708), hyperlipidemia (OR = 3.781), hyperuricemia (OR = 3.239), high blood sugar (OR = 2.363), hypertension (OR = 1.976), cholelith disease (OR = 2.722), and abnormal hepatic function (OR = 2.430) were risk factors for NAFLD (all P < 0.05).

CONCLUSION: Gender (male), overweight, hyperlipidemia, hyperuricemia, high blood sugar, high blood pressure, cholelith disease, and abnormal hepatic function are related to NAFLD. Targeted interventions are necessary to reduce and prevent the occurrence of NAFLD.

Association of serum CK18-M65 and -M30 with non-alcoholic fatty liver disease

AIM: To analyze the association of serum CK18-M65 and -M30 with non-alcoholic fatty liver disease (NAFLD) and to discuss the possible mechanisms responsible for the formation of NAFLD.

METHODS: Three hundred and nine patients with NAFLD treated from June 2011 to January 2013 at the First Affiliated Hospital of Xinjiang Medical University were included in this study. Two hundred and ninety healthy people served as normal controls. The average age of all subjects was 44.09 years ± 9.99 years. Questionnaire surveys, physical examination, abdominal ultrasound examination and blood biochemical examination were completed in all subjects. The levels of serum 18-M65 and -M30 were determined using ELISA.

RESULTS: Serum levels of CK18-M30 were significantly higher in the NAFLD group than in the control group in both Uyghur and Han Chinese populations (249.03 ng/L ± 133.58 ng/L vs 142.30 ng/L ± 31.89 ng/L, 244.06 ng/L ± 73.76 ng/L vs 143.16 ng/L ± 93.31 ng/L, both P < 0.05). There were no significant differences in serum levels of CK18-M65 between the NAFLD group and control group in both Uyghur and Han Chinese populations (154.69 ng/L ± 138.07 ng/L vs 160.70 ng/L ± 134.19 ng/L, 222.08 ng/L ± 170.52 ng/L vs 239.52 ng/L ± 196.16 ng/L, both P > 0.05). After adjusting for age, body mass index (BMI), systolic blood pressure (SBP), diastolic blood pressure (DBP), neutrophil count, lymphocyte count, hemoglobin concentration, fasting plasma glucose, serum triglyceride (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoprotein (LDL), serum levels of CK18-M30 were still significantly higher in the NAFLD group than in the control group, although no significant difference was noted in serum levels of CK18-M65. Logistic regression analysis showed that serum CK18-M30 level was a risk factor for NAFLD (OR = 1.300, P < 0.01), after adjusting for gender, age, BMI, SBP, DBP, TG, TC, HDL, and LDL.

CONCLUSION: Elevation of serum CK18-M30 levels is closely associated with NAFLD, and is an independent risk factor for NAFLD. Serum levels of CK18-M65 are unrelated to NAFLD.