Impact of insulin resistance and obesity on intracytoplasmic sperm injection outcomes in young women with polycystıc ovary syndrome.

A total of 106 women with PCOS were included in the study. The mean age of the women was 29.7±1.8 (range 27–34) years. Fifty-one, 27, and 28 women were included in the healthy-weight, overweight, and obese groups, respectively. Table 1 represents basal characteristics of women with PCOS with respect to BMI. Age and day 3 FSH, day 3 LH, LH/FSH, prolactin, and TSH levels were similar in the three groups. The duration of infertility was longer in obese women with PCOS than in overweight and healthy-weight women with PCOS, but these differences did not reach statistical significance (5.9±3.3 vs 5.1±4 vs 7.1±2.8; p=0.2). The HOMA-IR index was significantly higher in obese women than in overweight and healthy-weight women with PCOS (1.7±1.5 vs 2±2.1 vs 2.4±0.5; p=0.01). Baseline characteristics of the patients Values are n, mean±standard deviation. FSH: Follicle stimulating hormone; LH: Luteinizing hormone; E2: Estradiole; TSH: Thyroid stimulating hormone; PRL: Prolactine; AMH: Anti-mullerian hormone; HOMA-IR: Homeostatic model assessment of insulin resistance. Total dose of gonadotrophin, duration of ovulation induction, estradiol levels on human chorionic gonadotropin day, number of retrieved oocytes, metaphase II (MII) oocytes, and embryos were similar in women with PCOS with regard to BMI. Table 2 shows the the details of comparison. When the number of patients with ovarian hyperstimulation syndrome was compared between the groups, no statistical significant difference was detected [n=3 (5.8%), n=1 (3.7%), and n=1 (3.5%), respectively; p=0.86]. No cycle cancelation was detected in either of the groups. Results of ovarian stimulation and ICSI outcome in each group according to BMI ICSI: Intracytoplasmic sperm injektion; BMI: Body mass index; E 2 : Estradiole; hCG: Human chorionic gonadotropin; OHSS: Ovarian hyperstimulation syndrome; MII: Metaphase II. Table 3 shows ICSI outcomes in women with PCOS according to their BMI. The number of pregnancies, biochemical pregnancies, miscarriages, and deliveries per transferred embryo and per started cycle was similar (p>0.05). Even though pregnancy and delivery rates per started cycle and embryo transfer were higher in healthy-weight women with PC OS than in overweight/obese women with PCOS, the differences did not reach statistical significance level. Biochemical pregnancy and miscarriage rates per started cycle and embryo transfer were higher in obese women with PCOS, but without statistical significance. Fertilization–implantation rates, pregnancy, biochemical pregnancy, miscarriage, and delivery rates relative to BMI BMI: Body mass index; PCOS: Polycystic ovary syndrome. Table 4 presents reproductive and ICSI outcomes in women with PCOS according to IR. Women with PCOS with IR and obese women with PCOS and IR had significantly increased BMI, HOMA-IR, and TSH levels. However, age; day 3 FSH, LH, LH/FSH, prolactin, and AMH levels; and antral follicle count (AFC) were similar (p>0.05). The total oocyte retrieved, mature oocytes, embryo counts, and fertilization and pregnancy rates were also similar in the groups with and without IR (p>0.05). Although total oocyte retrieved, MII oocytes, and pregnancy rates declined in the group with IR, this declination did not reach statistical significance. Basal characteristics and IVF outcomes relative to insulin resistance IVF: Invitro fertilization; PCOS: Polycystic ovary syndrome; IR: Insülin resistance; BMI: Body mass index; HOMA-IR: Homeostatic Model Assessment of Insulin Resistance; FSH: Follicle stimulating hormone; LH: Luteinizing hormone; TSH: Thyroid stimulating hormone; E 2 : Estradiol; DHEA-S: Dehydroepiandrosterone sulfate; AMH: Anti-Mullerian hormone; AFC: Antral Follicle Count; MII: Metaphase II. The associated factors of ovarian response and pregnancy rates were evaluated by regression analysis. IR, overweight/obesity, chronological age, AMH levels, and AFC were independent variables for pregnancy rates. HOMA-IR, BMI, age, AMH, and AFC were independent variables for an ovarian response. None of the factors predict pregnancy rates and ovarian response, independently (p>0.05).

Healthy-weight women with PCOS and women with PCOS without IR seem to have favorable outcomes, but the comparison of pregnancy rates in women with PCOS with/without obesity and/or IR were similar. Future studies with larger series including lean and morbid obese women with standardized BMI and IR classification are needed for conclusion.

The independent effect of BMI and IR on IVF success in women with PCOS is controversial. Despite the large number of studies on the effect of obesity on IVF outcomes in women with PCOS [ 6 – 12 , 15 – 22 ], the impact of IR with or without obesity on IVF outcomes in those with PCOS is less defined [ 11 , 23]. The present study evaluated the relation of BMI and IR with reproductive outcomes in women with PCOS undergoing the same COH protocol and aged <35 years. Briefly, the study showed that total oocyte retrieved, MII oocytes, and pregnancy rates declined in obese women with PCOS and women with PCOS and IR, without reaching statistical significance. Thus far, studies have been unable to conclude the independent role of adiposity and IR in outcomes in patients with PCOS. Some studies suggested that gonadotropin resistance and a difference in lean and obese women with PCOS with regard to resorption or metabolism of subcutaneous injected FSH in women with PCOS [ 9 , 15 – 18 ]. Dechaud et al. studied IVF outcomes of 789 cycles with respect to BMI. They have stated that obesity does not negatively affect IVF outcomes; however, higher total r-FSH doses are needed in overweight and obese patients [ 9 ]. McCorrnick et al., [ 19 ] reported that lean women with PCOS have more follicles, retrieved oocytes, and frozen embryos than lean women without PCOS. Moreover, obese women without PCOS had better grade embryos than obese women with PCOS. However, no clinical outcome differences were observed. According to Matalliotakis et al., number of follicles, total doses of gonadotrophin, and retrieved oocytes were lower in patients with BMI >24 kg/m 2 . However, BMI did not affect clinical pregnancy, miscarriage, and delivery rates [ 20 ]. Beydoun et al. have investigated the effect of BMI on IVF/ICSI outcomes and they have compared women with and those without PCOS (69 each). Regardless of the PCOS status, BMI was inversely associated with total and mature oocytes retrieved. In addition, BMI did not influence IVF treatment success [ 21 ]. In our study, the number of total and mature oocytes were higher in healthy-weight women with PCOS than in overweight/obese women with PCOS, and the MII oocyte count was lower in the obese group. Tu et al. have studied IVF outcomes in 172 patients with PCOS undergoing ultra-long agonist protocol. They have reported that the higher the BMI, the longer the induction day and the higher the gonadotrophin consumption. However, clinical pregnancy, implantation, live birth, and miscarriage rates were similar between low and high BMI groups [ 18 ]. In our study, despite the clinical pregnancy rates tending to increase in healthy-weight women with PCOS and miscarriage rates tending to increase in obese women with PCOS, this increase did not reach statistical significance. These results suggested us that further studies with larger series including morbidly obese and lean women with PCOS may properly explain the exact association of BMI and IR on ICSI outcomes in women with PCOS. The literature about IR and IVF success in women with PCOS is limited. Recently, the study by Chang et al. showed that PCOS with IR had significantly decreased implantation and pregnancy rates [ 22 ]. In our study, women with PCOS and IR had decreased total oocyte retrieved, MII oocyte count, and pregnancy rates, without reaching statistical significance. Moreover, in our study we determined IVF outcomes of overweight/obese women with PCOS with or without IR. Obese women with PCOS and IR tended to have decreased MII oocytes and total oocyte retrieved without decreased pregnancy rates, but this decrease did not reach statistical significance. We investigated associated factors of ovarian response and pregnancy rate in women with PCOS via multiple regression analysis. These results showed that none of the factors independently predict ovarian response and pregnancy rates, when considering HOMA-IR, age, AMH level, AFC, and BMI. These results may partially be explained by the complexity of PCOS, and adiposity, IR, and ovarian reserve all effect reproductive outcomes. In this study, because of the small sample size that did not include morbidly obese and lean women with PCOS, a statistical significance could not be reached between the groups. Healthy-weight women with PCOS and those with PCOS without IR seem to have more favorable reproductive outcomes, but to conclude or reach a statistical power and significance, we need larger series including morbidly obese and lean women with PCOS. The main limitation of this study was its retrospective design. We have no data about the smoking status and male obesity, which are factors that may contribute to IVF outcomes. Our study is unique in that we included women <35 years undergoing the same COH protocol and studied both BMI and IR. However, prospectively designed studies, particularly in morbidly obese women, measurements of central adiposity, and effect of weight reduction on reproductive outcomes need further evaluation.

Women with PCOS who underwent an ICSI procedure in Kocaeli University between May 2010 and September 2011 were retrospectively recruited. The ICSI outcomes were compared with regard to the presence of obesity and IR in women with PCOS. The Local Ethics Committee approved the study. Only patients with PCOS who met the criteria of the recent ESHRE/ASRM Consensus (2003) and underwent ovarian stimulation using the flexible multi-dose GnRH-antagonist protocol were included [ 2 ]. Inclusion was limited to women aged >35 years to minimize the influence of age on ovarian response. Exclusion criteria were male factor infertility, medical disorders (chronic hypertension, diabetes mellitus, and renal disorders), and endometriosis that negatively affects pregnancy outcome. Of the 125 women, only 106 women with PCOS, aged <35 years, with anovulatory dysfunction and the tubal factor, and without male factor infertility and endometriosis were included in the study. Data on patients’ characteristic features and BMI variables were collected from the files. Weight and height were taken at the time of oocyte retrieval. Day 3 hormonal evaluations of follicle-stimulating hormone (FSH), LH, and estradiol levels were recorded. Thyroid-stimulating hormone (TSH), prolactine, and anti-Mullerian hormone levels were also recorded in the files. The total dose of gonadotropins, duration of stimulation, number of follicles, retrieved oocytes, and number of embryos were recorded. Visualization of a gestational sac was defined as clinical pregnancy. Patients with enlarged ovaries (5–10 cm); abdominal tenderness; and who have complained of nausea, vomiting, and diarrhea were defined as mild ovarian hyperstimulation syndrome. First, patients were stratified into the following three subgroups according to BMI: healthy weight (BMI 2.5. The HOMA-IR formula [HOMA-IR = fasting insulin (mIU/ml)×fasting glucose (mg/dl)/18)/22.5] was used for calculating IR [ 14 ]. The main outcome measures were reproductive and ICSI outcomes in women with PCOS with respect to BMI and IR. The statistical analysis of data was performed using the Statistical Package for Social Sciences for Windows (SPSS, Chicago, IL, USA). Results were reported as mean, standard deviation, and percentages. Descriptive statistics for nominal data was expressed in absolute numbers and percentages. The chi square test was used for comparing different variables. The ANOVA parametric method or Kruskal–Wallis non-parametric tests were applied. Tukey’s test was applied as post-hoc multiple comparisons. Statistical significance was considered at p<0.05. Logistic and linear regression analyses was used for examining factors associated with ICSI outcomes.