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The predictive value of lipid accumulation product (LAP), fatty liver index (FLI) and visceral adiposity index (VAI) for metabolic syndrome according to menopausal status

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The predictive value of lipid accumulation product (LAP), fatty liver index (FLI) and visceral adiposity index (VAI) for metabolic syndrome according to menopausal status

As obesity is the key factor to trigger metabolic syndrome along with insulin resistance, indicators to predict and measure the degree of obesity are widely studied, including lipid accumulation product (LAP), fatty liver index (FLI) and visceral adiposity index (VAI). LAP is a novel, safe, and inexpensive index of central lipid over accumulation and cardiovascular risk, based on two components–waist circumference (WC) and fasting concentration of circulating triglycerides (TG). FLI is also an algorithm based on TG concentration, as well as gamma-glutamyl transferase (GGT) level, body mass index (BMI) and WC. VAI is an index for the evaluation of adipose tissue distribution and function using WC, BMI, TG and high-density lipoprotein cholesterol (HDL-C).

Each of LAP, FLI and VAI is currently being studied as an effective marker for prediction of metabolic syndrome in wide spectrum of general population, but predominance to predict metabolic syndrome according to menopausal status has not been clearly investigated.

Therefore, the present study aimed to determine the association between the three indices and metabolic syndrome and to further explore their practicality to predict the risk of metabolic syndrome in subjects with menopausal status, ultimately contributing to the possibility of early diagnosis of the disease and effective therapeutic intervention.

This study showed the predictive values of LAP, VAI and FLI for metabolic syndrome upon the patient’s status of menopause – such markers should be carefully applied in potential metabolic syndrome patients of menopausal transition.

Despite of increased risk of metabolic syndrome in Asian population, the use of metabolic indices to predict the risk of such disease has been not thoroughly studied, especially in Asian population. In our study, the possibility of FLI, VAI and LAP as more effective indices for metabolic syndrome when collectively used has been clearly observed through statistical analysis. Further studies regarding the collective use of FLI, VAI and LAP on various ethnicities and populations and potential cut-off values for each index could result their clinical application in early intervention and prevention of the disease.

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