Clinical and laboratory features in women with different phenotypes of polycystic ovary syndrome.

BACKGROUND

Misdiagnosis is still an obstacle in the workup of polycystic ovary syndrome. We compared patients' characteristics among phenotypes of the syndrome and assessed the association of the characteristics with oligo-anovulation, hyperandrogenism, and polycystic ovary.

METHODS

In the infertility department of a teaching hospital, we performed a cross-sectional study. Based on the Rotterdam Criteria, we included 136 patients with polycystic ovary syndrome and 46 healthy controls.

RESULTS

The most common phenotype was A (N.=45;33%). Overall, A and C had larger Body Mass Index (P=0.019 and 0.030, respectively) and waist circumference (P=0.005 and 0.003) than control. Also, A and D had higher serum anti-mullerian hormone than control (both P<0.001) or phenotype C (P<0.001 and 0.01). Phenotypes A and C had higher insulin than control (both P=0.004). The highest level of estradiol was for control and the lowest for B. The lowest high-density lipoprotein was for C; and A to C phenotypes had higher triglyceride than control (P=0.002, <0.001, and 0.041). Larger body mass was associated with hyperandrogenism (adjusted Odds Ratio 95% CI=1.11 [1.01, 1.23], P=0.034); higher anti-mullerian hormone and high-density lipoprotein were related to oligo-anovulation (1.2 [1.07, 1.37], P=0.004; 1.1 [1.00, 1.13], P=0.041). Higher insulin and lower high-density lipoprotein were associated with polycystic ovary (1.11 [1.03, 1.21], P=0.013; 0.9 [0.82, 0.97], P=0.014).

CONCLUSIONS

There are potentials in Body Mass Index, waist circumference, serum anti-mullerian hormone, insulin, estradiol, high-density lipoprotein, and triglyceride concentration for differentiating the phenotypes of polycystic ovary syndrome and for more precise diagnosis of hyperandrogenism, oligo-anovulation, and polycystic ovary morphology.