Key result
WHtR, WHT.5R, WC, BMI, and LAP demonstrated the highest predictive value in identifying visceral adipose tissue in women with PCOS, with age-specific cut-offs such as BMI 23.43 kg/m2.
Why the study?
Visceral adipose tissue (VAT) accumulation is part of the PCOS phenotype, and the study aimed to compare ten different indirect methods of VAT estimation against gold-standard DXA in women with PCOS.
Which indirect methods of visceral adipose tissue estimation best predict VAT measured by DXA in women with PCOS?
Case-Control (n=222)
Which indirect methods of visceral adipose tissue estimation best predict VAT measured by DXA in women with PCOS?
Simple anthropometric and lipid-based indices like WHtR, WC, BMI, and LAP can effectively identify visceral adiposity and high cardiometabolic risk in women with PCOS, using age-specific cut-offs.
Visceral adipose tissue (VAT) accumulation, is a part of a polycystic ovary syndrome (PCOS) phenotype. Dual-energy x-ray absorptiometry (DXA) provides a gold standard measurement of VAT. This study aimed to compare ten different indirect methods of VAT estimation in PCOS women. The study included 154 PCOS and 68 age- and BMI-matched control women. Subjects were divided into age groups: 18–30 y.o. and 30–40 y.o. Analysis included: body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), waist/height 0.5 (WHT.5R), visceral adipose index (VAI), lipid accumulation product (LAP), and fat mass index (FMI). VAT accumulation, android-to-gynoid ratio (A/G), and total body fat (TBF) was measured by DXA. ROC analysis revealed that WHtR, WHT.5R, WC, BMI, and LAP demonstrated the highest predictive value in identifying VAT in the PCOS group. Lower cut-off values of BMI (23.43 kg/m2) and WHtR (0.45) were determined in the younger PCOS group and higher thresholds of WHtR (0.52) in the older PCOS group than commonly used. Measuring either: WHtR, WHT.5R, WC, BMI, or LAP, could help identify a subgroup of PCOS patients at high cardiometabolic risk. The current observations reinforce the importance of using special cut-offs to identify VAT, dependent on age and PCOS presence.
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Kałużna et al. (2021) conducted a case-control in Polycystic ovary syndrome (PCOS) (n=222). Indirect methods of VAT estimation (WHtR, WHT.5R, WC, BMI, LAP) vs. Control women was evaluated on Predictive value in identifying visceral adipose tissue (VAT). WHtR, WHT.5R, WC, BMI, and LAP demonstrated the highest predictive value in identifying visceral adipose tissue in women with PCOS, with age-specific cut-offs such as BMI 23.43 kg/m2.
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