Logistic regression analysis of clomiphene citrate resistance in females with polycystic ovarian syndrome

Abstract:

Objective：To discuss the strategies for treating refractory plycystic ovary syndrome（PCOS） by risk factors logistic regression analysis in clomiphene citrate（CC） resistant PCOS patients. Methods：A total of 92 PCOS patients were divided into CC resistant group and CC effective group. Patients' weight，height，age，glucose tolerance test（OGTT）（0’，120’），insulin（0’，120’），follicle-stimulating hormone（FSH），luteinizing hormone（LH），testosterone（T），estradiol（E2） and homocysteine（Hcy） were measured；the body mass in－dex（BMI） and homeostasis model assessment for insulin resistance（HOMA-IR） were calculated. The statistically significant differ－ence was analyzed by logistic regression analysis and ROC curve analysis. Results：There were statistically significant differences in age（P=0.000），BMI（P=0.005），Hcy（P=0.000），OGTT（0’）（P=0.000），INS（0’）（P=0.014），T（P=0.042），HOMA-index（P=0.000） be－tween CC resistant group and CC effective group. Hcy，OGTT（0’），INS（0’），T，HOMA-index，BMI，and age were negatively correlat－ed with CC resistance.The area under ROC curve was 0.981 Hcy，95%CI=0.972-0.990. Conclusion：Hcy is the best risk predictors in predicting CC resistant of refractory PCOS.