Abstract
Purpose:
Metabolic disturbances are common features of polycystic ovary syndrome (PCOS), which
possibly enhance the risk of diabetes and cardiovascular disease. Lipid accumulation
product (LAP) is an emerging cardiovascular risk factor. The aim of this study was
to explore the ability of LAP to identify metabolic syndrome (MS) in PCOS women.
Methods:
In a cross-sectional study, anthropometric, biochemical and clinical parameters were
measured in 105 PCOS women. Receiver operating characteristic (ROC) analysis was used
to find out the cut-off points of LAP to predict MS. MS was categorized according
to International Diabetes Federation (IDF) criteria.
Results:
The prevalence of MS was 43.8% in this study. PCOS women with MS had significantly
higher LAP levels compared to those without MS. LAP was highly correlated with components
of MS. ROC analysis showed that LAP was a significant discriminator for MS in PCOS
women, and the optimal cutoff point of LAP to predict MS was 54.2 (93.3% sensitivity,
96.7% specificity).
Conclusions:
LAP seems to be associated with MS and has a strong and reliable diagnostic accuracy
for MS in PCOS women.
Key words
polycystic ovary syndrome - metabolic syndrome - lipid accumulation product