Predictive value of visceral fat index and lipid accumulation product on metabolic associated fatty liver disease in the population without overweight/obesity
10.3760/cma.j.cn115624-20230615-00375
- VernacularTitle:内脏脂肪指数和脂质蓄积指数对非超重/肥胖者代谢相关脂肪性肝病的预测价值
- Author:
Hongyan WANG
1
;
Yupeng LIU
;
Hongmei FU
;
Ruiling XU
;
Chaoqi YAN
Author Information
1. 哈尔滨医科大学附属第二医院体检中心，哈尔滨 150001
- Keywords:
Metabolic diseases;
Fatty liver;
Forecasting;
Anthropometry
- From:
Chinese Journal of Health Management
2023;17(11):848-853
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the value of visceral fat index (VAI) and lipid accumulation product (LAP) on predicting metabolic associated fatty liver disease (MAFLD) in the population without overweight/obesity.Methods:This study is a cross-sectional study. The physical examination data derived from International Physical Examination and Health Center of the Second Affiliated Hospital of Harbin Medical University from January to December 2021 were collected. According to the inclusion and exclusion criteria, a total of 4 304 subjects without overweight/obesity aged from 18-75 were included in this study. The subjects were divided into two groups with MAFLD or without MAFLD, according to the diagnostic criteria of MAFLD provided by The Asian Pacific Association for the Study of the liver clinical practice guidelines for the diagnosis and management of metabolic associated fatty liver disease. Comparison of the clinical parameters (blood pressure, lipid, glucose) and obesity measurement indexes (BMI, VAI, LAP) between the two groups was analyzed. All subjects were respectively divided into four groups according to BMI, VAI and LAP quartile, which were defined as A, B, C, D. The prevalence of MAFLD in the population without overweight/obesity in quartile area groups of different obesity measurement indexes was calculated. Spearman′s rank correlation was used to evaluate the correlation between BMI, LAP, VAI and MAFLD in the population without overweight/obesity, respectively. Meanwhile, receiver operating characteristics (ROC) curves were used to calculate area under the curve (AUC) and evaluate the accuracy of BMI, VAI and LAP on predicting for MAFLD in the population without overweight/obesity.Results:The prevalence of MAFLD in the population without overweight/obesity was 10.87%. In the population without overweight/obesity, the clinical data blood pressure, total cholesterol (TC), low density lipoprotein cholesterol (LDL-C), triglyceride (TG) and fasting plasma glucose (FPG) in the group with MAFLD were significantly higher than those of the group without MAFLD (131/80 vs 113/70 mmHg, 5.29 vs 4.65 mmol/L, 3.21 vs 2.75 mmol/L, 1.87 vs 0.89 mmol/L, 5.60 vs 4.95 mmol/L; P<0.001), but high density lipoprotein cholesterol (HDL-C) of the group with MAFLD was significantly lower than that of the group without MAFLD (1.19 vs 1.49 mmol/L; P<0.001). The obesity measurement indexes (BMI, VAI, LAP) in the group with MAFLD were significantly higher than those of the group without MAFLD (22.10 vs 20.70 kg/m 2, 2.64 vs 1.00, 36.27 vs 12.48; all P<0.001). In the population without overweight/obesity, the prevalence of MAFLD was increased with the increase of BMI, VAI and LAP quartile area, and there was a linear correlation between MAFLD and obesity measurement indexes above. Spearman′s rank correlation analysis showed that correlation coefficient between obesity measurement indexes and MAFLD in the population without overweight/obesity was respectively LAP (0.427)>VAI (0.406)>BMI (0.282). ROC curve analysis showed that in the population without overweight/obesity, LAP had the highest accuracy on predicting MAFLD, with the AUC value of 0.896 (0.886-0.905), the optional cut-off value was 20.75, sensitivity and specificity was 85.9% and 79.0%, respectively. VAI (0.876) took the second place and BMI (0.761) located lastly. Conclusions:Both VAI and LAP have good prediction ability for MAFLD in the population without overweight/obesity. However, compared with VAI, LAP has higher accuracy on predicting MAFLD in the population without overweight/obesity.
