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. 2009 Aug;92(2):643-7.
doi: 10.1016/j.fertnstert.2008.06.021. Epub 2008 Aug 22.

Degree of hyperinsulinemia, independent of androgen levels, is an important determinant of the severity of hirsutism in PCOS

Melanie Landay  1 , Andy Huang, Ricardo Azziz
Affiliations

Degree of hyperinsulinemia, independent of androgen levels, is an important determinant of the severity of hirsutism in PCOS

Melanie Landay et al. Fertil Steril. 2009 Aug.

Abstract

Objective: To determine whether the severity in hyperandrogenemia determines, to a significant degree, the severity of hirsutism in patients with polycystic ovary syndrome (PCOS).

Design: Cross-sectional study.

Setting: Tertiary care academic referral center.

Patient(s): A total of 749 patients with PCOS.

Intervention(s): History and physical examination, blood sampling.

Main outcome measure(s): Hirsutism defined by a value of >or=6 using the modified Ferriman-Gallwey (mFG) score, age, body mass index (BMI), calculated homeostatic assessment for insulin resistance (HOMA-IR) value, and levels of total (TT) and free (FT) testosterone, dehydroepiandrosterone sulfate (DHEAS) 17-hydroxyprogesterone (17OH-P), and fasting insulin (INS) and glucose (GLC).

Result(s): Univariate correlations revealed associations between the mFG score and INS, 17OH-P, HOMA-IR, and BMI. Multivariate classification and regression tree analysis indicated that INS had the most significant association with mFG score and that at higher INS levels T played an additional role whereas at lower INS levels 17OH-P had an effect; however, this model accounted for only 8.2% of total variation in mFG score.

Conclusion(s): Insulin appears to have a direct effect on the severity of hirsutism in PCOS and appears to have a synergistic interaction with TT. Notably, over 90% of the variation in the mFG score was not related to the factors studied and likely reflects intrinsic factors related to pilosebaceous unit function or sensitivity and to other factors not yet assessed.

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Figures

FIGURE 1
FIGURE 1
Graph depicting the simultaneous relation of all predictors and possible confounders assessed using the multivariate classification and regression tree (CART) analysis.
See this image and copyright information in PMC

References

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