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Original Article

Showri R* , Rajini T

Department of Anatomy, Vydehi Institute of Medical Sciences & Research Centre, Bengaluru.

*Corresponding author:

Showri R, Ph.D Scholar, Department of Anatomy, Vydehi Institute of Medical Sciences & Research Centre, Bengaluru. E-mail: showri.123@gmail.com

Received Date: 2022-04-27,
Accepted Date: 2022-06-19,
Published Date: 2022-07-31
Year: 2022, Volume: 12, Issue: 3, Page no. 130-136, DOI: 10.26463/rjms.12_3_5
Views: 1052, Downloads: 31
Licensing Information:
CC BY NC 4.0 ICON
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0.
Abstract

Background and Aim: Polycystic ovarian syndrome (PCOS) has a major influence on women of reproductive age group resulting in extreme stress, at times crippling in nature. This study aimed at evaluating and correlating early signs of PCOS to prevent the future implications.

Methods: This observational cross-sectional study was conducted between September 2018 and March 2020. Ninety subjects with PCOS based on Rotterdam’s criteria were recruited. Details on menstrual history, anthropometric measurements, infertility, spontaneous abortions, and acanthosis nigricans were noted and assessed. Excel and Statistical Analysis System (SAS) version 9.4 software have been used for the analysis. Comparison between two groups and inferential data was evaluated using p-value and 95% CI with Chi-square test.

Results: The mean age of menarche was 12.97 ± 1.17 years. Oligomenorrhea, secondary amenorrhea and regular menstrual cycle were observed in 51 (56.6%), 14 (15.5%) and 25 (27.7%) subjects, respectively. Anthropometric measures of body mass index (BMI) ≥ 25 kg/m2 , waist circumference (WC) ≥ 88 cm and hip and waist – hip ratio (WHR) ≥ 0.85 were observed in 55 (61.1%), 67 (74.4%) and 86 (96.6%) subjects, respectively. Infertility was observed in 53 (58.8%) and spontaneous abortions in 24 (26.6%) subjects. Acanthosis nigricans, an indicator of insulin resistance, was seen in 61 (67.7%) subjects which positively correlated with increased BMI and WC.

Conclusion: Correlation of anthropometric details with insulin resistance, infertility and spontaneous abortions can go a long way in preventing the same, based on which the pregnancy should be treated as high risk, to prevent pregnancy loss and metabolic derangements.

<p><strong>Background and Aim:</strong> Polycystic ovarian syndrome (PCOS) has a major influence on women of reproductive age group resulting in extreme stress, at times crippling in nature. This study aimed at evaluating and correlating early signs of PCOS to prevent the future implications.</p> <p><strong>Methods: </strong>This observational cross-sectional study was conducted between September 2018 and March 2020. Ninety subjects with PCOS based on Rotterdam&rsquo;s criteria were recruited. Details on menstrual history, anthropometric measurements, infertility, spontaneous abortions, and acanthosis nigricans were noted and assessed. Excel and Statistical Analysis System (SAS) version 9.4 software have been used for the analysis. Comparison between two groups and inferential data was evaluated using p-value and 95% CI with Chi-square test.</p> <p><strong>Results:</strong> The mean age of menarche was 12.97 &plusmn; 1.17 years. Oligomenorrhea, secondary amenorrhea and regular menstrual cycle were observed in 51 (56.6%), 14 (15.5%) and 25 (27.7%) subjects, respectively. Anthropometric measures of body mass index (BMI) &ge; 25 kg/m<sup>2</sup> , waist circumference (WC) &ge; 88 cm and hip and waist &ndash; hip ratio (WHR) &ge; 0.85 were observed in 55 (61.1%), 67 (74.4%) and 86 (96.6%) subjects, respectively. Infertility was observed in 53 (58.8%) and spontaneous abortions in 24 (26.6%) subjects. Acanthosis nigricans, an indicator of insulin resistance, was seen in 61 (67.7%) subjects which positively correlated with increased BMI and WC.</p> <p><strong>Conclusion:</strong> Correlation of anthropometric details with insulin resistance, infertility and spontaneous abortions can go a long way in preventing the same, based on which the pregnancy should be treated as high risk, to prevent pregnancy loss and metabolic derangements.</p>
Keywords
PCOS, Insulin resistance, Infertility, Spontaneous abortions
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Introduction

Polycystic ovarian syndrome (PCOS), a multifactorial endocrine disorder that occurs due to both environmental and genetic causes, has foremost influence on women of reproductive age.1 Globally, PCOS affects 4% to 20% of women of reproductive age group.2 Prevalence of PCOS in India ranges from 3.7% to 22.5%.3 This varied discrepancy in prevalence is because of the ethnicity of the population studied, criteria used for diagnosis, socioeconomic status, and access to medical care.2 PCOS was first named as ‘Stein-Leventhal syndrome’ in 1935 based on several findings in obese infertile women.Although the clinical features of PCOS are diverse, the classical characteristic features of this syndrome include hyperandrogenism which can be clinical or biochemical, irregular anovulatory cycles, glucose intolerance and insulin resistance (IR). Women with PCOS have a higher prevalence of obesity which tends to be of the android/ central type where there is visceral fat accumulation.5,6 It is the primary cause for IR and future implications include diabetes and cardiovascular diseases. Central obesity further intensifies IR, irrespective of the weight of the women, as android obesity is also observed in lean PCOS women with normal body mass index (BMI).7 IR is a significant feature of PCOS seen in approximately 50–70% of the affected women.8 The main concern in women of reproductive age group with PCOS is infertility because of oligomenorrhea or secondary amenorrhea leading to anovulation. Post-treatment for conception, using ovulation induction or assisted reproductive technology, usually has a poor pregnancy outcome in women with PCOS. There may be an increased risk for spontaneous abortions, gestational diabetes, preeclampsia, and preterm births.9

The aetiopathogenesis of infertility and spontaneous abortions include obesity, IR, hyperandrogenism, and elevated levels of luteinizing hormone (LH). They are also the main features of PCOS. Due to concerns about the associated morbidities of PCOS, this study aimed to see if there was any significant correlation between certain early clinical findings and PCOS. Early diagnosis and non-invasive intervention will go a long way in helping women with PCOS lead a healthier life without the associated comorbidities.

Materials and Methods

This was an observational cross-sectional study conducted among women attending the Obstetrics and Gynaecology outpatient department (OPD) in a medical research centre. The study was carried out between September 2018 and March 2020 after the ethical clearance (VIEC/2018/APP/048) was obtained from the Institutional Ethics Committee. The study was conducted following the ethical principles mentioned in the Declaration of Helsinki. Consenting women aged between 18 to 45 years were included in the study. Women were diagnosed with PCOS based on the Rotterdam’s 2003 criteria10 which states that the presence of at least two of the following is required: irregular menstrual cycles (anovulation/ oligoovulation), clinical hyperandrogenism (hirsutism, acne, or alopecia)/ biochemical hyperandrogenism (high androgen levels) and polycystic ovaries on pelvic ultrasound scanning. Women clinically diagnosed with Congenital adrenal hyperplasia, Cushing’s syndrome, Androgen secreting tumours and Functional hypothalamic amenorrhea were excluded from the study.

Informed written consent was obtained from all the subjects. Menstrual history like age of menarche, type of menstrual cycle (Regular, oligomenorrhea or secondary menorrhea) was noted. Anthropometric details such as BMI which was calculated as weight (kg)/ height (m)2 , waist circumference (WC) measured midway between the lowest rib and just above the belly button, hip circumference (HC) measured at the widest part of the buttocks or hip and waist – hip ratio (WHR) were calculated. Details regarding type of infertility (primary or secondary) and duration of infertility were noted. Pregnancy loss history, if any, was noted and also if the patients had spontaneous abortions or recurrent pregnancy loss (RPL) characterised as loss of three or more consecutive pregnancies was noted. Acanthosis nigricans defined as dark velvety hyperpigmentation of the skin usually in the posterior and lateral creases of the neck, the axilla, and the groin was noted and considered as a surrogate marker for IR.

The data was analysed using descriptive statistics. Quantitative data was presented as n, mean, standard deviation, range, whereas qualitative data was presented with frequency and percentages. Comparison between two groups and inferential data was evaluated using p-value and 95% CI with Chi-square test. Excel and Statistical Analysis System (SAS) version 9.4 software have been used for the analysis.

Results

A total of 90 patients who fulfilled the Rotterdam criteria were included in the study. The age group of the subjects ranged between 20 years to 42 years with a mean of 27.91 ± 4.49 years.

Age of menarche ranged from 11 years to 17 years among these women. The mean age of menarche was 12.97 ± 1.175 years. Menstrual characteristics of oligomenorrhea and secondary amenorrhea were seen in 51 and 14 women, respectively. Regular menstrual cycles were seen in only 25 of the 90 women as shown in Figure 1.

BMI was calculated as weight (kg)/ height (m)2 and based on WHO criteria, was classified as underweight when BMI <18.5, BMI of 18.5 to 25 as normal, 25 to 30 as overweight, 30 to 35 as obese and BMI > 35 as being severely obese. BMI characteristics of study population is depicted in Table 1.

The WHR was calculated as waist (inches)/ hip (inches). WC > 88 cms and WHR ≥ 0.85 is indicative of abdominal obesity11,12 and this was seen in 67 (74.4%) and 86 (96.6%) of the women, respectively. The other anthropometric details are presented in Table 2.

Infertility was observed in 53 (58.8%) out of 90 subjects. Amongst these, 44 women had primary infertility and nine had secondary infertility. The duration of infertility ranged between 1 year and 12 years and the mean was 3.42 ± 2.472 years. Infertility when compared with BMI and WC in the present study was not statistically significant as seen in Table 3.

Spontaneous abortions were observed in 24 (26.6%) out of 90 women. Among the 24 women, 18 patients had spontaneous abortion once, five patients had spontaneous abortion twice, and one patient had RPL. Based on Chi square test of independence, there was no significant association between body mass index (BMI), waist circumference (WC) & SA which is depicted in Table 4.

Acanthosis nigricans (AN), a surrogate marker of insulin resistance was observed in 61 (67.7%) patients. A Chi square test of independence was performed to examine the relation between BMI, WC & AN (Table 5). It shows the relation between these variables to be significant. Subjects with BMI ≥ 25 kg/m2 which includes categories of overweight, obese and severely obese, and subjects with WC ≥ 88 are more likely to get AN than those with a BMI < 25 kg/m2 (normal and underweight) and WC < 88.  

Discussion

This cross sectional, observational study was carried out in women attending the gynaecology OPD in a medical research centre. After screening, 90 women were found to be eligible and were enrolled in the study after they provided consent. They attended the OPD with chief complaints ranging from menstrual irregularities to inability to conceive. Some were previously diagnosed with PCOS and at the same time, almost all were aware of the condition called PCOS.

The age of the 90 subjects varied from 20 years to 42 years with the mean age being 27.91 ± 4.49 years. Onset of menarche ranged between 10 years to 17 years where the mean age was found to be 12.97 ± 1.17 years. Similar findings were reported in the study by Spandana JC et al. where the mean age of menarche was 12.62 ± 1.11 years.11 Carroll J et al.13 concluded in their study that age at menarche in women with PCOS is influenced by BMI and genetic variants; meaning that those with a high BMI tend to have an early menarche and those with a lesser BMI have a late age at menarche. It is the genetic association of variant rs7759938 gene which plays a major role than BMI in determining the menarche. Women with PCOS and a normal BMI of <25 kg/m2 carry the C allele at rs7759938 whereas those with a BMI >25 kg/m2 , considered overweight, carry the T allele at rs7759938 gene.

The menstrual history in the present study showed 27.7% women to have regular menstrual cycles, same as in another study where 37% of women with PCOS had regular cycles.11 Menstrual dysfunction which is commonly observed in women with PCOS is treated symptomatically without any intervention. In a study by Panidis D et al.14 1285 women with PCOS had menstrual dysfunctions like oligomenorrhea and secondary amenorrhea. In addition, further comparison of insulin profiles showed increased IR compared to subjects with regular cycles. IR is one of the major key factors in increasing the production of LH due to rapid gonadotropin releasing hormone pulse frequency. This rise in LH causes thecal hyperplasia which in turn leads to hyperandrogenism. Increased secretion of androgens supresses the production of follicle stimulating hormone and hinders growth of the dominant follicle in the ovary.15 This results in anovulation which ultimately leads to irregular menstrual cycles in women with PCOS. In this study, 56.6% women had oligomenorrhea and 15.5% showed secondary amenorrhea. Other studies have also reported oligomenorrhea and secondary amenorrhea to be 74%, 69.2%, 20% and 26%, 21.1%, 43%, respectiv ely.16,17,18Anthropometric details of BMI, WC, HC and WHR were recorded in women with PCOS as adiposity in the abdominal region plays a crucial role in infertility and abortions. In the present study, 35 women had a BMI < 25 kg/m2 and 20 among them were diagnosed with infertility. In addition to having normal BMI and infertility, 18 of the 20 women had a high WC and WHR i.e., central obesity.

Primary infertility is when a woman has never been pregnant and secondary infertility is when the woman had at least one prior pregnancy.19 Primary infertility was observed in 44 subjects and secondary infertility was seen in nine women. Spandana JC et al also reported primary infertility (82%) and secondary infertility (18%) in a cross-sectional observational study that included 100 women with PCOS.11 The duration of infertility ranged between 1 to 15 years in their study, with a mean age of 7.02 ± 3.29 years. In the present study, the mean duration of infertility was 3.42 ± 2.47 years and ranged between 1 to 12 years.

Studies have concluded that obesity exacerbates the reproductive and metabolic features of PCOS.19 A community-based cohort study among Australian women found a 15-fold increase in risk of infertility in women diagnosed with PCOS, independent of BMI.20 Subfertility is seen in obese ovulatory women as reported in another cohort study by Van Der Steeg JW et al.21 Women with ovulatory cycles and with at least one patent tube were included in this study while women with anovulatory cycles and two-sided tubal pathology were excluded. It was concluded that the probability of pregnancy reduced by 4% when the BMI is more than 29 kg/m2 . This was the first prospective cohort study to claim an association between infertility in women with ovulatory cycles and BMI. With obesity being the common factor here, infertility is further worsened with a higher BMI.

Overweight (BMI ≥ 25 kg/m2 ) and obese women (BMI ≥ 30 kg/m2 ) have an increased risk of miscarriage.22 In the case control study by Landres IV et al,23 it was found that euploid abortions were seen in 47.9% (n=204) of women with PCOS. In our study, eight women with BMI < 25 kg/m2 and 16 women with BMI ≥ 25 kg/m2 had spontaneous abortions, respectively.

It is a proven fact that obesity increases the rates of spontaneous abortions.24 Regardless of the diagnosis of PCOS, reproductive concerns are frequent in obese women, with the link between PCOS and obesity being intricate and not well understood.5 The prevalence of polycystic morphology of the ovaries amongst women with recurrent miscarriage was 40.7% in a study by Rai R et al.25 It also states that ovarian morphology by itself is not a risk factor for pregnancy loss.

WHR ≥ 0.85 is considered an indicator for the presence of PCOS and this predicts the occurrence of metabolic syndrome in the future in these women.26 They recorded a WHR ≥ 0.85 in 45.8% subjects in their study. It was concluded that instead of BMI, the waist circumference or the WHR can be used for predicting obesity related health issues.12 However, in a review by Lord J et al6 to determine whether measuring waist circumference is the best method for assessing central obesity, they opine that WC is a much better predictor of metabolic consequence when compared to WHR. In another study by Kurpad SS et al, they found that as the prevalence of abdominal obesity using waist circumference was higher than WHR, WC correlated better with BMI than WHR.27 In the present study, WHR ≥ 0.85 was present in 86 subjects (96.6%) with a mean of 0.93 ± 0.051, while WC was seen in 67 subjects (74.4%) with a mean of 94.01 ± 4.42 cm. In a study by Alves AC et al,28 145 cases of PCOS from a population-based birth cohort study were selected to determine the impact of abdominal obesity by investigating their metabolic profile where WC was used as the measure of central obesity. The authors concluded that abdominal obesity and increased WC aggravates the risk of metabolic and cardiac dysfunction in women with PCOS.

In this study, neither the BMI nor the abdominal obesity increased the risk of spontaneous abortion and infertility as seen in Tables 4, 5. This correlation could not be justified probably due to the smaller sample size of this study.

Kahn and colleagues29 first identified the link between acanthosis nigricans and insulin resistance in 1976. Patidar PP et al30 also concluded in their study that AN can be used as a clinical surrogate for assessment of severity of IR. In a recent cross-sectional study conducted among 146 women with PCOS in Jordanian population, AN was seen in 46 women (31.5%).31 In another study by Ramanand SJ et al32 in 120 newly diagnosed postpubertal PCOS patients, AN was observed in 53 women (44.16%) where obesity positively correlated with the same. Similar observation has been made in the present study in which out of 90 subjects, acanthosis nigricans was noted in 61 (67.7%) subjects. Amongst these 61 women with AN, 80% of them had a BMI ≥ 25 kg/m2 and 74.6% had WC ≥ 88 cm. Women with BMI < 25 kg/ m2 and WC < 88 cm are less likely to develop AN.

In another observational cross-sectional hospital-based study by Upadhya JP33 which included 200 women with PCOS, AN was observed in 33 (16.5%) women. Amongst them, 31 had WHR more than 0.81 indicating that body fat distribution might be associated with AN. Gill H et al34 indicated in their study that Asian Indians are more susceptible to IR even with a low BMI because of the presence of higher percentage of body fat and abnormal adiposity. IR is also known to have an impact on the maturation of the oocyte and implantation of the zygote instigating an early pregnancy loss.9

Conclusion

In women with PCOS, android obesity and IR form a malicious cycle fuelling each other continuously. In the present study, a wide array of symptoms were presented by women with PCOS which correlated with the measurements of BMI, WHR and WC. The significance of results in this study has been affected by the duration and the sample size and an extended study may prove to have significant values regarding infertility, spontaneous abortions and metabolic correlation in PCOS, with emphasis on AN.

Conflict of interest

None

Acknowledgement

I would like to acknowledge Dr. Prabhakar G, Dean, VIMS & RC for the opportunity. My sincere gratitude to Dr. Rajini T and Dr. Shobha T R, Senior consultant, Department of OBG, Sanjay Gandhi Hospital for their guidance. Many thanks to Dr. Varsha Mokashi, Head of Department of Anatomy, and the faculty and staff of the Departments of Anatomy and Gynaecology, VIMS & RC, for their support and encouragement.

Supporting File
References

1. Carmina E, Lobo RA. Polycystic ovary syndrome (PCOS): arguably the most common endocrinopathy is associated with significant morbidity in women. J Clin Endocrinol Metab 1999;84(6):1897-9.

2. Deswal R, Narwal V, Dang A, Pundir CS. The prevalence of polycystic ovary syndrome: a brief systematic review. J Human Reprod Sci 2020;13(4):261.

3. Ganie MA, Vasudevan V, Wani IA, Baba MS, Arif T, Rashid A. Epidemiology, pathogenesis, genetics & management of polycystic ovary syndrome in India. The Indian J Med Res 2019;150(4):333

4. Stein IF. Amenorrhea associated with bilateral polycystic ovaries. Am J Obstet Gynecol 1935;29:181-91.

5. Sam S. Obesity and polycystic ovary syndrome. Obes Manag 2007;3(2):69-73.

6. Lord J, Wilkin T. Polycystic ovary syndrome and fat distribution: the central issue? Hum Fertil 2002;5(2):67-71.

7. González F. Inflammation in polycystic ovary syndrome: underpinning of insulin resistance and ovarian dysfunction. Steroids 2012;77(4):300-5.

8. Dunaif A. Insulin resistance and the polycystic ovary syndrome: mechanism and implications for pathogenesis. Endocr Rev 1997;18(6):774-800.

9. Kamalanathan S, Sahoo JP, Sathyapalan T. Pregnancy in polycystic ovary syndrome. Indian J Endocrinol Metab 2013;17(1):37.

10. Rotterdam ESHRE/ASRM sponsored PCOS concensus 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.

11. Spandana JC. A study on the clinical, biochemical and hormonal profile of polycystic ovary syndrome patients attending tertiary care hospital. Int J Reprod Contracept Obstet Gynecol 2017;6(5):1986-93.

12. Janssen I, Katzmarzyk PT, Ross R. Waist circumference and not body mass index explains obesity-related health risk. Am J Clin Nutr 2004;79(3):379-84.

13. Carroll J, Saxena R, Welt CK. Environmental and genetic factors influence age at menarche in women with polycystic ovary syndrome. J Pediatr Endocrinol Metab 2012;25(5-6):459-66.

14. Panidis D, Tziomalos K, Chatzis P, Papadakis E, Delkos D, Tsourdi EA et al. Association between menstrual cycle irregularities and endocrine and metabolic characteristics of the polycystic ovary syndrome. Eur J Endocrinol 2013;168(2):145-52.

15. Padubidri V, SN Daftary. Howkins and Bourne, Shaw’s Textbook of Gynaecology. 15th edition. India: Elsevier; 2010.

16. Valkenburg O, Steegers-Theunissen RP, Smedts HP, Dallinga-Thie GM, Fauser BC, Westerveld EH et al. A more atherogenic serum lipoprotein profile is present in women with polycystic ovary syndrome: a case-control study. J Clin Endocrinol Metab 2008;93(2):470-6.

17. Pavicic Baldani D, Skrgatic L, Sprem Goldstajn M, Zlopasa G, Kralik Oguic S, Canic T et al. Clinical and biochemical characteristics of polycystic ovary syndrome in Croatian population. Coll Antropol 2012;36(4):1413-8.

18. Jedel E, Waern M, Gustafson D, Landen M, Eriksson E, Holm G 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):450-6.

19. Teede H, Deeks A, Moran L. Polycystic ovary syndrome: a complex condition with psychological, reproductive and metabolic manifestations that impacts on health across the lifespan. BMC Med 2010;8(1):1-0.

20. Joham AE, Teede HJ, Ranasinha S, Zoungas S, Boyle J. Prevalence of infertility and use of fertility treatment in women with polycystic ovary syndrome: data from a large community-based cohort study. J Women’s Health 2015;24(4):299-307.

21. Van Der Steeg JW, Steures P, Eijkemans MJ, Habbema JD, Hompes PG, Burggraaff JM et al. Obesity affects spontaneous pregnancy chances in subfertile, ovulatory women. Hum Reprod 2008;23(2):324-8.

22. Metwally M, Ong KJ, Ledger WL, Li TC. Does high body mass index increase the risk of miscarriage after spontaneous and assisted conception? A metaanalysis of the evidence. Fertil Steril 2008;90(3):714- 26.

23. Landres IV, Milki AA, Lathi RB. Karyotype of miscarriages in relation to maternal weight. Hum Reprod 2010;25(5):1123-6.

24. Kaur R, Gupta K. Endocrine dysfunction and recurrent spontaneous abortion: An overview. Int J Appl Basic Med Res 2016;6(2):79.

25. Rai R, Backos M, Rushworth F, Regan L. Polycystic ovaries and recurrent miscarriage—a reappraisal. Hum Reprod 2000;15(3):612-5.

26. Mandrelle K, Kamath MS, Bondu DJ, Chandy A, Aleyamma TK, George K. Prevalence of metabolic syndrome in women with polycystic ovary syndrome attending an infertility clinic in a tertiary care hospital in south India. J hun reproe sc. 201n;5(1):26.

27. Kurpad SS, Tandon H, Srinivasan K. Waist circumference correlates better with body mass index than waist-to-hip ratio in Asian Indians. Natl Med J India 2003;16(4):189-92.

28. Alves AC, Valcarcel B, Mäkinen VP, MorinPapunen L, Sebert S, Kangas AJ et al. Metabolic profiling of polycystic ovary syndrome reveals interactions with abdominal obesity. Int J Obes (Lond) 2017;41(9):1331-1340.

29. Kahn CR, Flier JS, Bar RS, Archer JA, Gorden P, Martin MM, Roth J. The syndromes of insulin resistance and acanthosis nigricans. Insulinreceptor disorders in man. N Engl J Med 1976;294(14):739-45.

30. Patidar PP, Ramachandra P, Philip R, Saran S, Agarwal P, Gutch M et al. Correlation of acanthosis nigricans with insulin resistance, anthropometric, and other metabolic parameters in diabetic Indians. Indian J Endocr Metab 2012;16:S436-7.

31. Abusailik MA, Muhanna AM, Almuhisen AA, Alhasanat AM, Alshamaseen AM, Mustafa SM et al. Cutaneous manifestation of polycystic ovary syndrome. Dermaog Rrepots. 2g 1;13(2):8799.

32. Ramanand SJ, Ghongane BB, Ramanand JB, Patwardhan MH, Ghanghas RR, Jain SS. Clinical characteristics of polycystic ovary syndrome in Indian women. Indian J Endocrinol Metab 2013;17(1):138-45.

33. Gill H, Tiwari P, Dabadghao P. Prevalence of polycystic ovary syndrome in young women from North India: A Community-based study. Indian J Endocrinol Mesm. 2012;16(Suppl 2):S389-3..

34. Upadhya JP, Rai S, Acharya SV. Study of clinical characteristics of women with polycystic ovarian syndrome. Int J Reprod Contracept Obstet Gynegy. 2020;9(6):2424-9.

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