Construction of a predictive model for ovulation induction therapy efficacy in polycystic ovary syndrome
- VernacularTitle:多囊卵巢综合征诱导排卵疗效预测模型的构建
- Author:
Cuiyun WANG
1
;
Tong ZHAO
;
Guiling FAN
Author Information
- Keywords: polycystic ovary syndrome; ovulation induction; efficacy; urinary gonadotro-pins; letrozole; nomogram
- From: Journal of Clinical Medicine in Practice 2024;28(10):116-120
- CountryChina
- Language:Chinese
- Abstract: Objective To analyze the influencing factors of ovulation induction therapy in pa-tients with polycystic ovary syndrome(PCOS),and to construct a predictive model for the efficacy of ovulation induction therapy in PCOS patients.Methods A total of 200 infertile PCOS patients suit-able for ovulation induction therapy were selected as the study subjects.All patients underwent ovula-tion induction with letrozole or letrozole combined with urinary gonadotropins.They were divided into effective group(n=160)and ineffective group(n=40)based on the efficacy of ovulation induction.The clinical data of the two groups were retrospectively collected and analyzed.Logistic regression a-nalysis was used to analyze the influencing factors of ovulation induction therapy in PCOS patients,and a nomogram prediction model for the efficacy of ovulation induction was constructed.The predictive performance of the nomogram model for ovulation induction therapy in PCOS patients was evaluated.Results The number of ovulations and mature follicles,proportion of ovulation patients and endome-trial thickness in the effective group were significantly higher,and the androgen level in the effective group was significantly lower than that in the ineffective group(P＜0.05).Logistic regression analysis showed that androgen level,ovulation count,the number of mature follicles and endometrial thickness were influencing factors for the efficacy of ovulation induction in PCOS patients(OR＜1,P＜0.05).Receiver operating characteristic(ROC)curve analysis revealed that the area under the curve(A1UC)values for ovulation count,the number of mature follicles,endometrial thickness and androgen level in assessing the efficacy of ovulation induction therapy in PCOS patients were greater than 0.60.The verifi-cation results of the nomogram prediction model showed that the consistency index value of the calibration curve was 0.984.Conclusion Androgen level,ovulation count,the number of mature follicles and endometrial thickness areinfluencing factors for the efficacy of ovulation induction therapy in PCOS pa-tients.The evaluation performance of the nomogram prediction model based on the above factors is good.
