IVF efficiency in different phenotypes of polycystic ovary syndrome

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Abstract

Polycystic ovary syndrome occupies a leading place in the structure of endocrine infertility. This article presents the endocrine and metabolic features of the polycystic ovary syndrome phenotypes, as well as modern concepts of efficiency and complications of the use of assisted reproductive technologies, depending on the specific phenotype. The issues of polycystic ovary syndrome influence on selecting the method of assisted reproductive technologies, as well as possible complications that occur during in vitro fertilization and the features of the pregnancy course remain unresolved. The individualization of the approach seems to be promising when taking into account the differences in the hormonal profile and the features of metabolic disorders in each polycystic ovary syndrome phenotype. That may allow us to take one more step towards improving the effectiveness of in vitro fertilization and reducing the frequency of complications in patients with polycystic ovary syndrome.

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Polycystic ovary syndrome (PCOS) is a widespread polygenic multifactorial disease that combines several characteristic symptoms and is manifested by impaired reproductive function and metabolic disorders [1].

Today, PCOS is the most common gynecological pathology among women of reproductive age, which leads to endocrine infertility [2]. The incidence of PCOS varies widely from 4% to 13% [3, 4]. In 2016, results of a systematic review and meta-analysis were published on the scientific portals Pubmed and OvidSP. Several thousand women were examined. The overall PCOS prevalence (95% confidence interval) according to the diagnostic criteria of the National Institutes of Health (NIH), Rotterdam Consensus, and Androgen Excess and Polycystic Ovary Syndrome Society (AE-PCOS) was 6% (5%–8%, = 18 studies), 10% (8%–13%, n = 15 studies), and 10% (7%–13%, n = 15 studies), respectively. The incidence of PCOS according to the Rotterdam Consensus criteria can reach up to 21% [5, 6].

The most common clinical manifestations of PCOS include hyperandrogenemia (HA), oligo- and anovulation, as well as polycystic ovarian morphology on ultrasound examination (US) (ESHRE, 2018). In PCOS, pathological conditions, such as insulin resistance (IR), type 2 diabetes mellitus, ischemic heart disease, atherogenic hyperlipidemia, cerebrovascular insufficiency, anxiety and depressive disorders, endometrial hyperplastic processes, and ovarian and endometrial cancer, are common [1, 2, 5, 7–12].

Patients with PCOS had HA in 72.1%–82.0% of cases. Its main clinical manifestation in such patients is androgen-dependent dermopathy, often in the form of hirsutism, acne, seborrhea, and, much less often, acanthosis nigricans and alopecia. Defeminization (reduction of mammary glands, changes in skeletal architectonics, and hypoplasia of the external genital organs) and masculinization (male-type fat deposition, baryphony, and increased muscle mass) are not characteristic symptoms of PCOS but can be present with untimely correction of HA [3, 13]. A meta-analysis by Gurkan Bozdag et al. (2016) revealed that in PCOS, the incidence of HA is on average of 13% (8%–20%, n = 14), hyperinsulinemia (HI) is 11% (8%–15%, = 9), polycystic ovarian morphology is 28% (22%–35%, = 12), and oligo- or anovulation in 15% (12%–18%, n = 9) [6].

In 1990, the United States of America NIH held a conference, which resulted in the adoption of standardized criteria for PCOS diagnosis, including menstrual irregularities due to anovulation and clinical or biochemical signs of HA, without taking into account the morphological changes in the ovaries. Later in Rotterdam, a group of experts from the American Society for Reproductive Medicine and the European Society of Human Reproduction and Embryology (ESHRE/ASRM, 2003) supplemented the diagnostic criteria for PCOS with US signs of polycystic ovarian morphology [14, 15].

As an alternative, the AE-PCOS (2006) proposed to consider two aspects for the syndrome diagnosis, namely HA clinical or biochemical and ovarian dysfunction (oligo- or anovulation and/or polycystic morphology according to US data). Table 1 presents a comparative description of the criteria used for PCOS diagnosis.

 

Table 1. Criteria to diagnose polycystic ovary syndrome

National Institutes of Health, 1990

Rotterdam Consensus, 2003

Androgen Excess and Polycystic Ovary Syndrome Society, 2006

· Chronic anovulation.

· Clinical and/or biochemical hyperandrogenemia

· Oligo and/or anovulation.

· Clinical and/or biochemical signs of hyperandrogenemia.

· Polycystic ovarian morphology

· Clinical and/or biochemical signs of hyperandrogenemia.

· Ovarian dysfunction (oligo-, anovulation, and/or polycystic ovarian morphology)

The presence of all criteria is obligatory

The presence of two of the three criteria are mandatory

The presence of all criteria is obligatory

Note. PCOS — polycystic ovary syndrome.

 

Multicenter randomized trials demonstrated the polymorphism of the clinical manifestations of PCOS. It turned out that this pathology covers a wide range of signs and their combinations, significantly exceeding the initial criteria for establishing the diagnosis. The approaches to diagnose PCOS that existed at that time (NIH, 1990) were revised, and since 2012, the ESHRE/ASRM criteria (2003) with the obligatory indication of the syndrome phenotype are considered correct. Due to the adopted additions, PCOS can be diagnosed in women with both polycystic ovarian morphology and HA, and menstrual irregularities in combination with polycystic ovarian morphology [1, 5, 16]. In a multifaceted examination of patients with PCOS, differential diagnostics and exclusion of other etiological causes of menstrual irregularities and HA are important, which is also indicated in all the above-mentioned consensuses [16].

The structure of PCOS generally distinguished four phenotypes. Their comparative characteristics, depending on the signs, are presented in Table 2.

 

Table 2. Comparative characteristics of polycystic ovary syndrome phenotypes

Phenotype variants

Phenotype A (classic)

Phenotype B (anovulatory)

Phenotype C (ovulatory)

Phenotype D (nonandrogenic)

Incidence

44–65%

8–33%

3–29%

18.5–23%

Signs

Clinical/biochemical hyperandrogenemia

Present

Present

Present

Absent

Oligo- and/or anovulation

Present

Present

Absent

Present

Polycystic ovarian morphology

Present

Absent

Present

Present

 

HA, overweight, and severe menstrual irregularities in PCOS can be assumed as independent predictors of metabolic disorders [17, 18]. Thus, R. Azziz (2018) noted that the severity of menstrual irregularities correlates directly with the IR level [1].

Research results indicate that patients with PCOS with phenotypes A and B have more pronounced menstrual irregularities, they are characterized by HI and IR, and they develop metabolic syndrome 2 times more often compared to patients with phenotype D [19–26]. Excess body weight is more typical for women with androgenic phenotypes of PCOS, and it occurs in 53.1% of cases with the classic phenotype, 33.3% with anovulatory phenotype, and 30.0% with nonandrogenic phenotype [19, 22]. The frequency of obesity reaches 86.0% in patients with phenotype A, 27.9% with phenotype B, 46.6% with phenotype C, and 38.8% with phenotype D. The most pronounced forms of atherogenic hyperlipidemia were registered in patients with phenotype A (>65.9%); this phenotype is also characterized by hypercholesterolemia and hypoalphaproteinemia [19]. A group of Italian researchers showed that the ovulatory phenotype is more typical for patients with PCOS with high socioeconomic status [27]. This dependence can probably be due to differences in insulin levels and body mass index values [27]. However, other researchers did not register any significant differences in the incidence of high body mass index, IR, and dyslipidemia in different PCOS phenotypes. C.N. Wijeyaratne et al. (2011) and A.S. Melo et al. (2010) revealed no differences in the prevalence of metabolic syndrome in women with different PCOS phenotypes [28, 29].

The prevalence of impaired glucose tolerance in patients with androgenic phenotypes of the syndrome is 62.5% in phenotype A, 55.6% in phenotype B, and 20.0% in phenotype C. Nonandrogenic phenotype D, on the contrary, is favorable for the prognosis of impaired carbohydrate metabolism, as impaired glucose tolerance is almost not revealed in this category of patients, HI and IR are registered in 8% and 12%, respectively. The percentage of these indicators with classical (14.1%, 27.1%, and 30.6%, respectively), anovulatory (9.1%, 9.1%, and 9.1%, respectively), and ovulatory (14.3%, 28.6%, and 35.7%, respectively) phenotypes confirm this conclusion. The comparison of indicators of carbohydrate metabolism in all phenotypes of PCOS found no significant differences, but an increased level of immunoreactive fasting insulin by 28.5%–34.3% in the androgenic phenotypes, especially in the classical one. In the phenotype D group, the blood level of immunoreactive insulin increased by 14.3% [24, 26].

The data presented that patients with PCOS with phenotypes A and B have an increased risk of hepatic steatosis compared with patients with nonandrogenic PCOS phenotypes and healthy women [30].

The assessment of the hormonal spectrum revealed that HA in phenotypes A and B develops primarily due to increased levels of dehydroepiandrosterone sulfate and free testosterone. Every third patient has a decreased level of testosterone-estrogen-binding globulin (TEBG), thus an increased free androgen index in all phenotypes. In ovulatory phenotype C, a lower blood level of free testosterone was found compared to other androgenic phenotypes. Ovarian HA is believed to adversely affect the quality of oocytes and embryos and the success of their development [31].

A.Jamil et al. (2016) revealed a significantly higher ratio of luteinizing hormone (LH) and follicle-stimulating hormone (FSH) is in phenotype A than in phenotype D and women without PCOS. The level of total testosterone in serum is higher in phenotype A compared to patients with other PCOS phenotypes, as well as healthy women [32]. The level of anti-Müllerian hormone (AMH) in the blood serum of patients with PCOS exceeds 8.7 ng/ml [33]. The highest blood AMH level is determined in phenotype A. In addition, studies were conducted, in which no significant differences were obtained in the blood levels of FSH, AMH, prolactin, estradiol, dihydrotestosterone, 17á-hydroxyprogesterone, and progesterone in patients with PCOS having anovulatory phenotypes [3, 33].

Most studies found that endocrine and metabolic disorders are insignificant in patients with nonandrogenic phenotype D in PCOS and, accordingly, the incidence of metabolic syndrome is low [26, 34, 35]. In these women, compared with women with the classic PCOS phenotype, the LH/FSH ratio is almost unchanged, a lower level of total and free testosterone in the blood, as well as a lower value of free androgen index, and a higher level of testosterone estrogen-binding globulin [32]. In phenotype D, opsomenorrhea alternates with regular menstrual cycles more often than in other PCOS phenotypes [36].

In general, the published data indicate that more than half of patients with PCOS have phenotype A, whereas the other three phenotypes (B, C, D) are almost equally common. Patients with phenotypes A and B account for approximately two-thirds of the total number of patients with PCOS [37].

Understanding the distribution of PCOS phenotypes is of great importance to determine the syndrome epidemiology in the population, as well as to apply a personalized approach to the treatment and management of patients with this syndrome in in vitro fertilization (IVF) protocols, which aimed to reduce the risk of complications and increase the effectiveness of the procedure.

One of the major problems associated with PCOS is the loss of fertility in these patients. PCOS causes endocrine infertility in 55%–91% of cases [38]. In addition, up to 70% of PCOS cases remain unverified [39]. Due to the rapid improvement of assisted reproductive technologies, IVF is the most effective method to implement reproductive function [38]. Despite alternative approaches when choosing a protocol, in clinical practice, patients with PCOS have several problems, such as immature oocytes, ovarian hyperstimulation syndrome (OHSS), and increased risk of obstetric and neonatal complications [40]. The effectiveness of PCOS in the increased frequency and severity of pregnancy complications after IVF remains disputable and controversial.

The efficiency of IVF can be assessed by considering several indicators, namely the number and quality (maturity) of aspirated oocytes, the number of obtained embryos, the frequency of pregnancy, and early gestation, as well as the frequency of spontaneous abortions.

Ovary stimulation of patients with PCOS is challenging because the ovaries tend to overreact. Several systematic reviews and meta-analyses showed an increased risk of OHSS in patients with PCOS. Both mild and severe forms of OHSS were identified [41, 42]. This complication is assumed to be associated with both the selected IVF protocol and the PCOS phenotype [43]. Different ovarian responses were described depending on the PCOS phenotype, thus phenotype A is associated with a higher risk of OHSS, and phenotype B is associated with a lower risk of this complication [42]. The study by T. Sha et al. (2019) revealed that when a fresh embryo is transferred into the uterine cavity of patients with PCOS, OHSS develops more often [38].

L.S. Tselkovich et al. (2017) revealed a negative effect of metabolic syndrome on the results of IVF in PCOS. Thus, the total number of high-quality embryos obtained from patients with PCOS without metabolic disorders was 72.5%, which decreased to 61.4% in the presence of metabolic disorders, whereas 50.7% and 30.0% were suitable for cryopreservation, respectively [43]. In their study, V. Cela et al. (2017) found no statistically significant differences in the number and quality of transferred and frozen embryos. Nevertheless, a slightly larger number of embryos from the patient with PCOS having phenotype A were obtained and frozen [42]. In groups with phenotypes characterized by polycystic ovarian morphology, the highest incidence of implantation, biochemical, and clinical pregnancy is registered in comparison with phenotype B [44]. The percentage of mature MII oocytes in the stimulation cycles using gonadotropin-releasing hormone agonists as an ovulation trigger was 65.0%, whereas when using human chorionic gonadotropin, this indicator did not exceed 49.9% [42]. In the presence of metabolic disorders in PCOS, the frequency of hospitalizations after IVF increased threefold, reaching 70.6% of cases [43].

The frequency of pregnancy in the programs of assisted reproductive technologies in patients with PCOS and without it did not differ [38]. In addition, patients with PCOS without metabolic disorders showed a significantly higher pregnancy rate (50.7%) than women with such disorders (33.3%) [43]. A correlation was established between the presence of phenotype B and the absence of pregnancy after embryo transfer [42]. A higher incidence of carrying a pregnancy in patients with this syndrome was found compared with other causes of infertility [38]. However, M. De Vos et al. (2018) noted a lower rate of carrying a pregnancy in hyperandrogenic phenotypes A and C (16.7% and 18.5%, respectively) compared with phenotype D (33.7%) [45]. The incidence of spontaneous abortion in PCOS in combination with a tubal factor of infertility reached 64.7%, whereas no significant difference with the control group of healthy women was found without this burdening factor [38]. PCOS, including metabolic disorders, is the cause of pregnancy termination in 34.6% of cases, in the absence of metabolic disorders does not exceed 5.9% [43]. No differences were found in the frequency of ectopic pregnancy in healthy women and women with the described syndrome [38].

The incidence of isthmic-cervical insufficiency and premature birth in patients with PCOS reaches up to 28%. One of the probable pathogenetic grounds for such outcomes may be increased levels of proinflammatory cytokines (tumor necrosis factor-á and interleukin-1 and -6) that maintain chronic inflammation. One-third of all cases of miscarriages occur in the second trimester [40].

Earlier studies indicate that polycystic ovarian transformation, IR, and HA can be potential causes of gestational diabetes mellitus, preeclampsia, and arterial hypertension [40]. Based on a 2019 meta-analysis by T. Sha et al., a relationship was found between the low TEBG concentration and an increased risk of gestational diabetes mellitus in female patients with PCOS [38]. According to L.E. Kjerulff et al., a low concentration of insulin-like growth factor-binding globulin-1 may contribute to the development of arterial hypertension [46].

The authors of a 2015 cohort retrospective study compared the prevalence of obstetric complications, including gestational diabetes mellitus, gestational hypertension, proteinuria, and fetal growth retardation syndrome in women diagnosed with PCOS, isolated polycystic morphology, and with other causes of infertility, who entered the IVF protocols. No statistically significant difference was found in all groups [47].

Granulosa cell-produced AMH represents a marker of functional ovarian reserve, also called a small growing follicular pool, which ultimately determines the quantity and quality of oocytes/embryos obtained by IVF. AMH is a reliable marker of ovarian response to controlled ovarian stimulation. The basal level of AMH in the blood serum correlates closely with the US data of the antral follicle count [48].

The classical phenotype A is characterized not only by a higher level of estrogens, the number of 8–12 mm follicles, but also by a high level of AMH. According to some data, the level of AMH in the blood in patients with phenotype A is a threefold increase compared to patients with phenotype B. Serum AMH concentration is a more reliable marker to predict the ovarian response and the probability of OHSS than the patient’s age and body mass index [49]. Thus, prior knowledge of high AMH levels allows planning strategies to reduce the risk of OHSS. In addition, a retrospective study by G. Bozdag et al. (2019) demonstrated a low significance of AMH determination in diagnosing three PCOS phenotypes (B, C, D), except for the classic A phenotype [53].

Metformin showed to help restore ovulation through a variety of mechanisms [50]. These include increased insulin sensitivity, direct inhibition of androgen-producing ovarian enzymes, and decreased secretion of vascular endothelial growth factor which plays a key role in OHSS pathophysiology [51]. In the group of patients with PCOS who were treated for infertility using IVF and metformin, an increased frequency of pregnancy and decreased incidence of OHSS was observed, and at the same time, no significant differences in the number of obtained oocytes, days of stimulation, or frequency of cycle cancellation, and the incidence of pregnancy and miscarriages [51].

In 2016, a group of American researchers described in sufficient detail a previously non-highlighted PCOS-like phenotype characterized by a high level of AMH, but with an atypically low level of testosterone. This pathology affects young women without obesity and is associated with low levels of dehydroepiandrosterone sulfate. The low testosterone level, in this case, is probably of adrenal origin and arises from autoimmune adrenal insufficiency, since it is accompanied by low cortisol levels. The authors note that supplementation of dehydroepiandrosterone in these patients normalizes the androgen levels and improves the outcomes of the IVF cycle [33, 52].

CONCLUSION

To date, the problem of PCOS is widely covered in the literature, and questions of pathogenesis, clinical manifestations, diagnostics, and treatment of the pathology are discussed in numerous works. The ongoing research to date will possibly expand the phenotypic range of PCOS.

However, an analysis of the literature data presented in our review enables us to conclude that most of the studies published on the aspects of the treatment of fertility disorders in patients with PCOS, particularly the use of assisted reproductive technologies, show conflicting results, which indicates an insufficient degree of familiarization of the problem and a small number of studies.

More recently, research started to develop a personalized approach to the management of patients with PCOS, depending on the phenotype. This will increase the efficiency of diagnosis and treatment of the disease itself, as well as predict the risks of failure and increase the chances of a successful pregnancy, including with the use of IVF, as well as carrying and gestational outcomes.

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About the authors

Igor P. Nikolayenkov

The Research Institute of Obstetrics, Gynecology, and Reproductology named after D.O. Ott

Email: nikolaenkov_igor@mail.ru
ORCID iD: 0000-0003-2780-0887
SPIN-code: 5571-4620

MD, Cand. Sci. (Med.), Head of the Educational-Methodical Department

Russian Federation, 3 Mendeleevskaya Line, Saint Petersburg, 199034

Olga E. Kazymova

Research Institute of Obstetrics, Gynecology and Reproductology named after D.O. Ott

Email: olia.merk@yandex.ru
ORCID iD: 0000-0003-3869-010X
SPIN-code: 5986-3469

clinical resident

Russian Federation, 3 Mendeleevskaya Line, Saint Petersburg, 199034

Dmitry S. Sudakov

The Research Institute of Obstetrics, Gynecology, and Reproductology named after D.O. Ott; North-Western State Medical University named after I.I. Mechnikov

Email: suddakovv@yandex.ru
ORCID iD: 0000-0002-5270-0397
SPIN-code: 6189-8705

MD, Cand. Sci. (Med.), Assistant Professor of the Department of Obstetrics and Gynecology, Cheef of the Simulation Centre

Russian Federation, 3 Mendeleevskaya Line, Saint Petersburg, 199034; 41 Kirochnaya Str., Saint Petersburg, 191015

Yulia R. Dymarskaya

North-Western State Medical University named after I.I. Mechnikov

Author for correspondence.
Email: julia_dym@mail.ru
ORCID iD: 0000-0001-6027-6875
SPIN-code: 4195-3410

MD, Cand. Sci. (Med.), Assistant, The Department of Obstetrics and Gynecology

Russian Federation, 41 Kirochnaya Str., Saint Petersburg, 191015

References

  1. Azziz R. Polycystic ovary syndrome. Obstet Gynecol. 2018;132(2):321–336. doi: 10.1097/AOG.0000000000002698
  2. Azziz R, Carmina E, Chen Z, et al. Polycystic ovary syndrome. Nat Rev Dis Primers. 2016;2:16057. doi: 10.1038/nrdp.2016.57
  3. Abashova EI, Shalina MA, Misharina EV, et al. Clinical features of polycystic ovary syndrome phenotypes in women with normogonadotropic anovulation in reproductive age. Journal of Obstetrics and Women’s Diseases. 2019;68(3):7–14. (In Russ.). doi: 10.17816/JOWD6837-14
  4. Williams T, Mortada R, Porter S. Diagnosis and treatment of polycystic Ovary Syndrome. Am Fam Physician. 2016;94(2):106–113.
  5. Lizneva D, Suturina L, Walker W, et al. Criteria, prevalence, and phenotypes of polycystic ovary syndrome. Fertil Steril. 2016;106(1):6–15. doi: 10.1016/j.fertnstert.2016.05.003
  6. Bozdag G, Mumusoglu S, Zengin D, et al. The prevalence and phenotypic features of polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod. 2016;31(12):2841–2855. doi: 10.1093/humrep/dew218
  7. DeUgarte CM, Bartolucci AA, Azziz R. Prevalence of insulin resistance in the polycystic ovary syndrome using the homeostasis model assessment. Fertil Steril. 2005;83(5):1454–1460. doi: 10.1016/j.fertnstert.2004.11.070
  8. Norman RJ, Masters L, Milner CR, et al. Relative risk of conversion from normoglycaemia to impaired glucose tolerance or non-insulin dependent diabetes mellitus in polycystic ovarian syndrome. Hum Reprod. 2001;16(9):1995–1998. doi: 10.1093/humrep/16.9.1995
  9. Krentz AJ, von Mühlen D, Barrett-Connor E. Searching for polycystic ovary syndrome in postmenopausal women: evidence of a dose-effect association with prevalent cardiovascular disease. Menopause. 2007;14(2):284–292. doi: 10.1097/GME.0b013e31802cc7ab
  10. Legro RS, Kunselman AR, Dunaif A. Prevalence and predictors of dyslipidemia in women with polycystic ovary syndrome. Am J Med. 2001;111(8):607–613. doi: 10.1016/s0002-9343(01)00948-2
  11. Wild S, Pierpoint T, McKeigue P, Jacobs H. Cardiovascular disease in women with polycystic ovary syndrome at long-term follow-up: a retrospective cohort study. Clin Endocrinol (Oxf). 2000;52(5):595–600. doi: 10.1046/j.1365-2265.2000.01000.x
  12. Jedel E, Waern M, Gustafson D, et al. Anxiety and depression symptoms in women with polycystic ovary syndrome compared with controls matched for body mass index. Hum Reprod. 2010;25(2):450–456. doi: 10.1093/humrep/dep384
  13. Moran LJ, Misso ML, Wild RA, Norman RJ. Impaired glucose tolerance, type 2 diabetes and metabolic syndrome in polycystic ovary syndrome: a systematic review and meta-analysis. Hum Reprod Update. 2010;16(4):347–363. doi: 10.1093/humupd/dmq001
  14. Rotterdam ESHRE/ASRM-Sponsored PCOS Consensus Workshop Group. Revised 2003 consensus on diagnostic criteria and long-term health risks related to polycystic ovary syndrome. Fertil Steril. 2004;81(1):19–25. doi: 10.1016/j.fertnstert.2003.10.004
  15. Chernukha GE, Blinova IV, Kuprashvili MI. Endocrine and metabolic characteristics of patients with different phenotypes of polycystic ovary syndrome. Obstetrics and Gynecology. 2011;(2):70–76. (In Russ.)
  16. Mortada R, Williams T. Metabolic Syndrome: Polycystic Ovary Syndrome. FP Essent. 2015;435:30–42.
  17. Ehrmann DA, Liljenquist DR, Kasza K, et al.; PCOS/Troglitazone Study Group. Prevalence and predictors of the metabolic syndrome in women with polycystic ovary syndrome. J Clin Endocrinol Metab. 2006;91(1):48–53. doi: 10.1210/jc.2005-1329
  18. Brower M, Brennan K, Pall M, Azziz R. The severity of menstrual dysfunction as a predictor of insulin resistance in PCOS. J Clin Endocrinol Metab. 2013;98(12):E1967–71. doi: 10.1210/jc.2013-2815
  19. Kim JJ, Hwang KR, Choi YM, et al. Complete phenotypic and metabolic profiles of a large consecutive cohort of untreated Korean women with polycystic ovary syndrome. Fertil Steril. 2014;101(5):1424–1430. doi: 10.1016/j.fertnstert.2014.01.049
  20. Welt CK, Gudmundsson JA, Arason G, et al. Characterizing discrete subsets of polycystic ovary syndrome as defined by the Rotterdam criteria: the impact of weight on phenotype and metabolic features. J Clin Endocrinol Metab. 2006;91(12):4842–4848. doi: 10.1210/jc.2006-1327
  21. Diamanti-Kandarakis E, Panidis D. Unravelling the phenotypic map of polycystic ovary syndrome (PCOS): a prospective study of 634 women with PCOS. Clin Endocrinol (Oxf). 2007;67(5):735–742. doi: 10.1111/j.1365-2265.2007.02954.x
  22. Carmina E, Chu MC, Longo RA, et al. Phenotypic variation in hyperandrogenic women influences the findings of abnormal metabolic and cardiovascular risk parameters. J Clin Endocrinol Metab. 2005;90(5):2545–2549. doi: 10.1210/jc.2004-2279
  23. Moran L, Teede H. Metabolic features of the reproductive phenotypes of polycystic ovary syndrome. Hum Reprod Update. 2009;15(4):477–488. doi: 10.1093/humupd/dmp008
  24. Misharina EV, Borodina VL, Glavnova OB, et al. Insulin resistance and hyperinsulinemia. Journal of Obstetrics and Women’s Diseases. 2016;65(1):75–86. (In Russ.). doi: 10.17816/JOWD65175-86
  25. Mehrabian F, Khani B, Kelishadi R, Kermani N. The prevalence of metabolic syndrome and insulin resistance according to the phenotypic subgroups of polycystic ovary syndrome in a representative sample of Iranian females. J Res Med Sci. 2011;16(6):763–769.
  26. Goverde AJ, van Koert AJ, Eijkemans MJ, et al. Indicators for metabolic disturbances in anovulatory women with polycystic ovary syndrome diagnosed according to the Rotterdam consensus criteria. Hum Reprod. 2009;24(3):710–717. doi: 10.1093/humrep/den433
  27. Di Fede G, Mansueto P, Longo RA, et al. Influence of sociocultural factors on the ovulatory status of polycystic ovary syndrome. Fertil Steril. 2009;91(5):1853–1856. doi: 10.1016/j.fertnstert.2008.02.161
  28. Melo AS, Vieira CS, Romano LG, et al. The frequency of metabolic syndrome is higher among PCOS Brazilian women with menstrual irregularity plus hyperandrogenism. Reprod Sci. 2011;18(12):1230–1236. doi: 10.1177/1933719111414205
  29. Wijeyaratne CN, Seneviratne Rde A, Dahanayake S, et al. Phenotype and metabolic profile of South Asian women with polycystic ovary syndrome (PCOS): results of a large database from a specialist Endocrine Clinic. Hum Reprod. 2011;26(1):202–213. doi: 10.1093/humrep/deq310
  30. Jones H, Sprung VS, Pugh CJ, et al. Polycystic ovary syndrome with hyperandrogenism is characterized by an increased risk of hepatic steatosis compared to nonhyperandrogenic PCOS phenotypes and healthy controls, independent of obesity and insulin resistance. J Clin Endocrinol Metab. 2012;97(10):3709–3716. doi: 10.1210/jc.2012-1382
  31. Salim R, Serhal P. IVF in Polycystic ovary syndrome. In: Diagnosis and Management of Polycystic Ovary Syndrome. Farid NR, Diamantis-Kandarakis E, editors. Boston: Springer US; 2009. P. 253–258. [cited 2021 May 12]. Available from: https://link.springer.com/content/pdf/10.1007 %2F978-0-387-09718-3.pdf. doi: 10.1007/978-0-387-09718-3_21
  32. Jamil AS, Alalaf SK, Al-Tawil NG, Al-Shawaf T. Comparison of clinical and hormonal characteristics among four phenotypes of polycystic ovary syndrome based on the Rotterdam criteria. Arch Gynecol Obstet. 2016;293(2):447–456. doi: 10.1007/s00404-015-3889-5
  33. Nikolaenkov IP. Antimyllerov gormon v patogeneze sindroma polikistoznykh yaichnikov. [dissertation abstract] Saint Petersburg; 2014. (In Russ.). [cited 2021 May 12]. Available from: https://www.dissercat.com/content/antimyullerov-gormon-v-patogeneze-sindroma-polikistoznykh-yaichnikov. doi: 10.1007/978-0-387-09718-3_21
  34. Zhang HY, Zhu FF, Xiong J, et al. Characteristics of different phenotypes of polycystic ovary syndrome based on the Rotterdam criteria in a large-scale Chinese population. BJOG. 2009;116(12):1633–1639. doi: 10.1111/j.1471-0528.2009.02347.x
  35. Guastella E, Longo RA, Carmina E. Clinical and endocrine characteristics of the main polycystic ovary syndrome phenotypes. Fertil Steril. 2010;94(6):2197–2201. doi: 10.1016/j.fertnstert.2010.02.014
  36. Panidis D, Tziomalos K, Papadakis E, et al. Associations of menstrual cycle irregularities with age, obesity and phenotype in patients with polycystic ovary syndrome. Hormones (Athens). 2015;14(3):431–437. doi: 10.14310/horm.2002.1593
  37. Wild RA, Carmina E, Diamanti-Kandarakis E, et al. Assessment of cardiovascular risk and prevention of cardiovascular disease in women with the polycystic ovary syndrome: a consensus statement by the Androgen Excess and Polycystic Ovary Syndrome (AE-PCOS) Society. J Clin Endocrinol Metab. 2010;95(5):2038–2049. doi: 10.1210/jc.2009-2724
  38. Sha T, Wang X, Cheng W, Yan Y. A meta-analysis of pregnancy-related outcomes and complications in women with polycystic ovary syndrome undergoing IVF. Reprod Biomed Online. 2019;39(2):281–293. doi: 10.1016/j.rbmo.2019.03.203
  39. March WA, Moore VM, Willson KJ, et al. The prevalence of polycystic ovary syndrome in a community sample assessed under contrasting diagnostic criteria. Hum Reprod. 2010;25(2):544–551. doi: 10.1093/humrep/dep399
  40. Nikolayenkov IP, Kuzminykh TU, Tarasova MA, Seryogina DS. Features of the course of pregnancy in women with polycystic ovary syndrome. Journal of Obstetrics and Women’s Diseases. 2020;69(5):105–112. doi: 10.17816/JOWD695105-112
  41. Wei D, Shi Y, Li J, Wang Z, et al. Effect of pretreatment with oral contraceptives and progestins on IVF outcomes in women with polycystic ovary syndrome. Hum Reprod. 2017;32(2):354–361. doi: 10.1093/humrep/dew325
  42. Cela V, Obino MER, Alberga Y, et al. Ovarian response to controlled ovarian stimulation in women with different polycystic ovary syndrome phenotypes. Gynecol Endocrinol. 2018;34(6):518–523. doi: 10.1080/09513590.2017.1412429
  43. Celkovich LS, Ivanova TV, Ibragimova AR, et al. Sravnitel’naya ocenka protokolov EKO u zhenshchin s razlichnymi klinicheskimi variantami techeniya sindroma polikistoznyh yaichnikov. Aspirantskij vestnik Povolzh’ya. 2017;17(5–6):97–103. (In Russ.)
  44. Bezirganoglu N, Seckin KD, Baser E, et al. Isolated polycystic morphology: Does it affect the IVF treatment outcomes? J Obstet Gynaecol. 2015;35(3):272–274. doi: 10.3109/01443615.2014.948407
  45. De Vos M, Pareyn S, Drakopoulos P, et al. Cumulative live birth rates after IVF in patients with polycystic ovaries: phenotype matters. Reprod Biomed Online. 2018;37(2):163–171. doi: 10.1016/j.rbmo.2018.05.003
  46. Kjerulff LE, Sanchez-Ramos L, Duffy D. Pregnancy outcomes in women with polycystic ovary syndrome: a metaanalysis. Am J Obstet Gynecol. 2011;204(6):558.e1–6. doi: 10.1016/j.ajog.2011.03.021
  47. Wan HL, Hui PW, Li HW, Ng EH. Obstetric outcomes in women with polycystic ovary syndrome and isolated polycystic ovaries undergoing in vitro fertilization: a retrospective cohort analysis. J Matern Fetal Neonatal Med. 2015;28(4):475–478. doi: 10.3109/14767058.2014.921673
  48. Thakre N, Homburg R. A review of IVF in PCOS patients at risk of ovarian hyperstimulation syndrome. Expert Rev Endocrinol Metab. 2019;14(5):315–319. doi: 10.1080/17446651.2019.1631797
  49. Lee TH, Liu CH, Huang CC, et al. Serum anti-Müllerian hormone and estradiol levels as predictors of ovarian hyperstimulation syndrome in assisted reproduction technology cycles. Hum Reprod. 2008;23(1):160–167. doi: 10.1093/humrep/dem254
  50. Lin K, Coutifaris C. In vitro fertilization in the polycystic ovary syndrome patient: an update. Clin Obstet Gynecol. 2007;50(1):268–276. doi: 10.1097/GRF.0b013e3180305fe4
  51. Tso LO, Costello MF, Albuquerque LE, et al. Metformin treatment before and during IVF or ICSI in women with polycystic ovary syndrome. Cochrane Database Syst Rev. 2014;2014(11):CD006105. Corrected and republished from: Cochrane Database Syst Rev. 2020;12:CD006105. doi: 10.1002/14651858.CD006105.pub3
  52. Gleicher N, Kushnir VA, Darmon SK, et al. New PCOS-like phenotype in older infertile women of likely autoimmune adrenal etiology with high AMH but low androgens. J Steroid Biochem Mol Biol. 2017;167:144–152. doi: 10.1016/j.jsbmb.2016.12.004
  53. Bozdag G, Mumusoglu S, Coskun ZY, et al. Anti-Müllerian hormone as a diagnostic tool for PCOS under different diagnostic criteria in an unselected population. Reprod Biomed Online. 2019;39(3):522–529. doi: 10.1016/j.rbmo.2019.04.002.

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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
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СМИ зарегистрировано Федеральной службой по надзору в сфере связи, информационных технологий и массовых коммуникаций (Роскомнадзор).
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от 15.07.2002 г.



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