Evaluation of an existing nomogram for predicting the response to clomiphene citrate

Could Cytochrome P450 2D6, 3A4 and 3A5 Polymorphisms Explain the Variability in Clinical Response to Clomiphene Citrate of Anovulatory PCOS Women?

INTRODUCTION

Cytochrome P450 2D6, 3A4 and 3A5 are involved in the metabolism of many drugs. These enzymes have a genetic polymorphism responsible for different metabolic phenotypes. They play a role in the metabolism of clomiphene citrate (CC), which is used to induce ovulation. Response to CC treatment is variable, and no predictive factors have thus far been identified.

OBJECTIVE

To study a possible link between the cytochrome P450 2D6, 3A4 and 3A5 polymorphisms and clinical response to CC.

STUDY DESIGN

Seventy-seven women with anovulatory Polycystic Ovarian Syndrome (PCOS) treated with CC were included which determined their cytochrome P450 2D6, 3A4 and 3A5 genotypes and used the results to predict ovarian response to this drug. Predicted responses based on the cytochrome genotypes were compared with the observed clinical responses using the calculation of a weighted Kappa coefficient.

MAIN OUTCOME MEASURES

Number of dominant follicles assessed by ultrasound at the end of the follicular phase and confirmation of ovulation by blood progesterone assay in the luteal phase.

RESULTS

Concordance between the predicted and observed responses for the combination of the three cytochromes was 36.71%, with a negative Kappa coefficient (K = -0.0240), which corresponds to a major disagreement. Similarly, for predictions based on the cytochrome P450 2D6 genotype alone, only 39.24% of predictions were verified (coefficient K = -0.0609).

CONCLUSION

The genetic polymorphism of cytochromes P450 2D6, 3A4 and 3A5 does not appear to influence clinical response to CC used to induce ovulation in anovulatory PCOS women.

Hormonal Changes After Laparoscopic Ovarian Diathermy in Patients with Polycystic Ovarian Syndrome

AIM OF THE PRESENT STUDY

To assess the changes in hormonal profile (serum FSH, LH, prolactin and total testosterone) following laparoscopic ovarian drilling (LOD) in patients with polycystic ovarian syndrome.

MATERIALS AND METHODS

Fifty patients with PCOS have been included in this study. Serum prolactin, total testosterone, follicular-stimulating hormone (FSH) and luteinizing hormone (LH) levels have been used as biochemical markers, before and after procedures.

RESULTS

Laparoscopic ovarian drilling was successfully employed without any surgical complications and on an average follow-up time of 24 weeks after the procedure. During the follow-up serum values for prolactin, total testosterone and LH have decreased significantly and FSH levels remained unchanged after the procedure.

CONCLUSIONS

The LOD in patients with PCOS may avoid or reduce the risk of OHSS and the multiple pregnancy rate induced by gonadotropin therapy. The high pregnancy rate and the economic aspect of the procedure offer an attractive management for patients with PCOS. However, LOD can be considered as second-line treatment after clomiphene citrate treatment failure and/or resistance.

Anti-Müllerian hormone as a predictor of polycystic ovary syndrome treated with clomiphene citrate

Objective

This study aimed to determine the threshold of anti-Müllerian hormone (AMH) as predictor of follicular growth failure in polycystic ovary syndrome (PCOS) patients treated with clomiphene citrate (CC).

Methods

Fifty female subjects with PCOS were recruited and divided into two groups based on successful and unsuccessful follicular growth. Related variables such as age, infertility duration, cigarette smoking, use of Moslem hijab, sunlight exposure, fiber intake, body mass index, waist circumference, AMH level, 25-hydroxy vitamin D level, and growth of dominant follicles were obtained, assessed, and statistically analyzed.

Results

The AMH levels of patients with successful follicular growth were significantly lower (p=0.001) than those with unsuccessful follicular growth (6.10±3.52 vs. 10.43±4.78 ng/mL). A higher volume of fiber intake was also observed in the successful follicular growth group compared to unsuccessful follicular growth group (p=0.001). Our study found the probability of successful follicle growth was a function of AMH level and the amount of fiber intake, expressed as Y=–2.35+(–0.312×AMH level)+(0.464×fiber intake) (area under the curve, 0.88; 95% confidence interval, 0.79–0.98; p<0.001).

Conclusion

The optimal threshold of AMH level in predicting the failure of follicle growth in patients with PCOS treated with CC was 8.58 ng/mL.

The prevalence of metabolic syndrome in clomiphene citrate resistant polycystic ovary syndrome

OBJECTIVE

To investigate the prevalence of metabolic syndrome in clomiphene citrate (CC) resistant polycystic ovary syndrome (PCOS) patients.

METHODS

58 CC resistant PCOS patients, 52 CC responders, 53 fertile PCOS and 53 age and body mass index-matched normoandrogenic ovulatory fertile women were evaluated for metabolic syndrome.

RESULTS

Metabolic syndrome prevalence was 41.4% in CC resistants, in 23.1% of CC responders, in 11.3% of PCOS fertiles and 0% of controls (p < 0.0001). Waist circumference (WC) > 88 cm was 44.8%, systolic blood pressure (BP) ≥ 130 mmHg and diastolic BP ≥85 mmHg were 27.6%, TG (triglyceride) ≥150 mg/dL was 36.2%, HDL(high density lipoprotein) < 50 mg/dL was 63.8%, fasting glucose levels ≥ 100 mg/dL was 20.7% in CC resistant PCOS women. There were positive associations between CC resistance and WC >88 cm, BP ≥ 130 ≥ 85 mmHg, TG ≥ 150 mg/dL, HDL < 50 mg/dL, fasting glucose ≥ 100 mg/dL, and presence of metabolic syndrome (p < 0.05, for all). Moreover, WC > 88 cm, and HDL < 50 mg/dL were independent variables that were associated by CC resistance by multivariate regression analysis.

CONCLUSIONS

CC resistant PCOS patients have high prevalence of metabolic syndrome. These women have an increased risk of future cardiovascular disease.

Clomiphene citrate resistance in relation to follicle-stimulating hormone receptor Ser680Ser-polymorphism in polycystic ovary syndrome

BACKGROUND

Clomiphene citrate (CC) response in anovulatory women is difficult to predict and patient-tailored treatment would benefit patient care and time-management. The objective of this study was to evaluate the role of the follicle-stimulating hormone receptor (FSHR) Ser680Ser-polymorphism as a predictor for CC response.

METHODS

In this retrospective study, 193 patients, diagnosed with polycystic ovary syndrome (PCOS) according to Rotterdam criteria and treated with ovulation induction, were included over a 5-year period in a university hospital in the Netherlands. Data on demographics, BMI, menstrual cycle, laboratory screening (including FSHR genotyping), transvaginal ultrasonography of ovaries and ovulation parameters were collected. Main outcome measures were response to CC and FSHR genotype.

RESULTS

The frequency distribution of the 680-polymorphism was 26% (Asn/Asn), 50% (Asn/Ser) and 24% (Ser/Ser). No significant differences in basal characteristics were found. Significantly more patients with Ser/Ser-polymorphism were resistant to CC (28%) compared with Asn/Ser (14%) and Asn/Asn group (15%), with an odds ratio for ovulation of 0.44 (95% CI, 0.21-0.97). Patients with higher FSH levels, higher age and lower BMI were significantly more likely to ovulate in univariate analysis. In a multivariate logistic regression model, corrected for age, BMI, mean ovarian, volume, hyperandrogenism, and amenorrhoea, only FSHR and basal FSH levels were predictive for ovulation.

CONCLUSIONS

Chance of resistance to CC is almost double in women with PCOS harbouring the Ser/Ser genotype.

Predicting fertility

Various predictors of fertility have been described, suggesting that none are ideal. The literature on tests of ovarian reserve is largely limited to women undergoing in vitro fertilization, and is reliant on the use of surrogate markers, such as cycle cancellation and number of oocytes retrieved, as reference standards. Currently available prediction models are far from ideal; most are applicable only to subfertile women seeking assisted reproduction, and lack external validation. Systematic reviews and meta-analyses of predictors of fertility are limited by their heterogeneity in terms of the population sampled, predictors tested and reference standards used. There is an urgent need for consensus in the design of these studies, definition of abnormal tests, and, above all, a need to use robust outcomes such as live birth as the reference standard. There are no reliable predictors of fertility that can guide women as to how long childbearing can be deferred.

Predictors of ovarian response: progress towards individualized treatment in ovulation induction and ovarian stimulation

Ovarian stimulation is applied in the clinic to restore mono-ovulatory cycles in anovulatory women (ovulation induction) or to induce the development of multiple dominant follicles for assisted reproduction. Ovarian response is the endocrine and follicular reaction of the ovaries to stimulation. Achieving an appropriate ovarian response to anti-estrogens or exogenous gonadotrophins is central to ovulation induction and ovarian stimulation protocols. However, achieving an adequate response, without cycle cancellation or adverse events related to under- or over-stimulation, is complicated by high intra- and inter-individual variability. To predict each patient's ovarian response to medication for ovarian stimulation and to individualize the starting dose of exogenous gonadotrophin or the need for exogenous luteinizing hormone, various clinical, endocrine, ovarian ultrasonographic and genetic characteristics have been explored. Some of these features have been incorporated into prediction models. In this review, the methodology behind predictive factors and prediction models and their potential clinical applicability across ovulation induction and ovarian stimulation are explored.