Přispěvatelé: |
[Narankiewicz,D] Preventive Medicine Department, Virgen de la Victoria University Hospital, Malaga, Spain. [Ruiz-Nava,J, Buonaiuto,V, Ruiz-Moreno,MI, López-Carmona,MD, Pérez-Belmonte,LM, Gómez-Huelgas,R, Bernal-López,MR] Internal Medicine Department, Regional University Hospital of Málaga, Instituto de Investigación Biomédica de Málaga (IBIMA), Malaga, Spain. [Gómez-Huelgas,R, Bernal-López,MR] Ciber Fisiopatología de la Obesidad y Nutrición. Instituto de Salud Carlos III, Madrid, Spain., This work was supported by grants from the Instituto de Salud Carlos III, cofinancial by the Fondo Europeo de Desarrollo Regional-FEDER (PI12/01373 and 'Centros de Investigación En Red' (CIBER, CB06/03/0018)), and from the Consejería de Economía, Innovación, Ciencia y Empleo-FEDER (P07-CTS 656 and CTS-1023, Junta de Andalucía, Spain). María Rosa Bernal-Lopez was supported by 'Miguel Servet Type I' program (CP15/00028) from the ISCIII-Madrid (Spain), cofinanced by the Fondo Europeo de Desarrollo Regional-FEDER. |
Popis: |
The aim of this study was to analyze the utility of liver function tests (LFT) and fatty liver index (FLI), a surrogate marker of non-alcoholic fatty liver disease, in the categorization of metabolic phenotypes in a Mediterranean population. A cross-sectional study was performed on a random representative sample of 2233 adults assigned to a health center in Má laga, Spain. The metabolic phenotypes were determined based on body mass index (BMI) categorization and the presence or absence of two or more cardiometabolic abnormalities (high blood pressure, low high-density lipoprotein (HDL) cholesterol, hypertriglyceridemia, pre-diabetes) or type 2 diabetes. No difference was observed between metabolically healthy and metabolically abnormal phenotypes on LFT. The mean FLI of the population was 41.1 ± 28.6. FLI was significantly higher (p < 0.001) in the metabolically abnormal phenotypes in all BMI categories. The proportion of individuals with pathological FLI (&ge 60) was significantly higher in the metabolically abnormal overweight and obese phenotypes (p < 0.001). On a multivariate model adjusted for sex, age, and waist circumference, a significant correlation was found between pathological FLI and metabolically abnormal phenotypes in the overweight and obese BMI categories. Area under the curve (AUC) of FLI as a biomarker was 0.76, 0.74, and 0.72 for the metabolically abnormal normal-weight, overweight, and obese groups, respectively. Liver biochemistry is poorly correlated with metabolic phenotypes. Conversely, a good correlation between FLI, as a marker of non-alcoholic fatty liver disease (NAFLD), and metabolically abnormal phenotypes in all BMI ranges was found. Our study suggests that FLI may be a useful marker for characterizing metabolically abnormal phenotypes in individuals who are overweight or obese. |