scholarly journals Anti Müllerian Hormone as a Predictor of Metabolic Syndrome in Polycystic Ovary Syndrome

Author(s):  
Budi Wiweko ◽  
Cynthia A. Susanto

Objective: To evaluate whether Anti Müllerian Hormone (AMH) can be used as a predictor of metabolic syndrome in Polycystic Ovarian Syndrome (PCOS).Methods: This cross-sectional study was conducted in Yasmin Clinic, Dr. Cipto Mangunkusumo General Hospital Jakarta between June and December 2012. Forty-one patients diagnosed with PCOSbased on Rotterdam Criteria were enrolled. Secondary were was taken from medical record..Results: A total of 22 subjects were involved in this study. Mean AMH level in the metabolic syndrome group is compared to the non-metabolic syndrome group (10.72 ± 6.23 ng/ml vs 7.97 ± 4.50ng/ml, p=0.12). AMH was strongly associated with HDL, triglyceride and insulin resistance (r-value of -0.29, 0.23, and 0.21 respectively, p < 0.05).Conclusion: AMH can be used as a predictor of metabolic syndrome in PCOS.[Indones J Obstet Gynecol 2017; 5-2: 83-86]Keywords: anti müllerian hormone, metabolic syndrome, polycystic ovarian syndrome

Author(s):  
Budi Wiweko ◽  
Lieke Koes Handayani ◽  
Achmad Kemal Harzif ◽  
Gita Pratama ◽  
Raden Muharam ◽  
...  

Background: Various endocrine disorders have been reported in women of reproductive age, 10% of which is affected by polycystic ovary syndrome (PCOS). Objective: This study aimed to evaluate the correlation of anti-Müllerian hormone (AMH) levels with the metabolic syndrome in patients with PCOS. Materials and Methods: This cross-sectional study employed a consecutive sampling method using medical records from January 2013 to December 2017 at Dr. Cipto Mangunkusumo General Hospital polyclinic and Yasmin in vitro fertilization Clinic (Kencana), Jakarta, Indonesia. The primary outcome of the study was the AMH levels as independent variable correlated with metabolic syndrome. The secondary outcome was also the AMH levels correlated with each PCOS phenotype. The tertiary outcome was each PCOS phenotype as independent variable correlated with metabolic syndrome. Results: Women with phenotype 1 of PCOS had a median AMH level of 13.92 (range: 3.88-34.06) ng/ml. 21% patients had metabolic syndrome, with a median AMH level 7.65 (3.77-20.20) ng/ml, higher than the women without metabolic syndrome (p = 0.38). The most frequent phenotype in women with PCOS was phenotype 4, oligo- or anovulation and polycystic ovary morphology (OA/PCOM) in 41.3%. The most frequent phenotype in women with metabolic syndrome was phenotype 1, OA + PCOM + hyperandrogenism in 56.5%. Conclusion: All PCOS phenotypes exhibited significant correlations with the AMH level. Phenotype 1 (OA + PCOM + hyperandrogenism) was associated with the highest AMH level and was significantly associated with metabolic syndrome. Key words: Anti-Müllerian hormone, Metabolic syndrome, Polycystic ovary syndrome.


Author(s):  
Somnath Singh Raghuvanshi ◽  
Anirban Sinha ◽  
Animesh Maiti ◽  
Partha Pratim Chakraborty ◽  
Asish Kumar Basu ◽  
...  

Background: Ovarian steroidogenesis requires gonadotropin stimulation, Luteinizing Hormone (LH) is a key factor in the hyperandrogenaemia of the polycystic ovary syndrome. Progesterone is the primary regulator of Gonadotropin-Releasing Hormone (GnRH) pulse frequency; however, in the polycystic ovary syndrome, the GnRH pulse generator is relatively resistant to the negative feedback effects of progesterone.  Study aims to evaluate the association of Anti-mullerian hormone with serum androgen and gonadotropin level in adolescents and young women of Polycystic Ovary Syndrome (PCOS).Methods: This was a single centre observational Cross-sectional study carried out in the department of Endocrinology and metabolism, Medical College, Kolkata from March 2017 to January 2019. Total number of study subjects were 207 out of which 138 were cases.Results: The AMH had strong positive correlation with serum testosterone in both case and control groups (r 0.542, p<0.001 and r 0.57, p<0.001) respectively .After the adjustment of age and BMI , the AMH moderately positive  but extremely significant correlation with serum testosterone as compare to control.Conclusions: Hyperandrogenaemia and higher ratio of LH and FSH associated with higher serum AMH level is associated with the higher serum AMH in polycystic ovarian syndrome.


2018 ◽  
Vol 6 (9) ◽  
pp. 395-406
Author(s):  
Noura Mohammed Al Bassam ◽  
Sarah Ali ◽  
Syed Raziur Rahman

Introduction: Polycystic Ovarian Syndrome (PCOS) is a condition that affects a woman’s hormone levels and it is said to be the most common female syndrome. Affects between 4-8% of reproductive-aged women and is associated with reproductive, metabolic and psychological dysfunction. Methods: A Quantitative observational cross-sectional study, we recruited 350 students of Qassim University selected using random sampling according to the inclusive criteria (age between 18-25 years). An online questionnaire designed in Arabic to facilitate the data collection, and university students, participated voluntarily. Statistical data entry and analysis of results was performed using Microsoft Excel. Results: Our sample size was 350 Qassim University students whose ages were between 18-25 years. 71% (n=248) Students heard about the PCOS, 49% of them heard about the symptoms from other people (mother, sister, cousin, etc.).  The presence of the symptoms of PCOS among these students was as, the most common symptoms were Hair loss 74%, Mood swing 67%, Acne 61%, and the least common symptom was Voice change 8%.  The prevalence of the syndrome among the university students was found to be 12% of these 350 students suffer from PCOS (diagnosed). Conclusion: 71% of studens were aware about the Polycystic Ovary Syndrome. 12% of students suffered from PCOS. Most common symptoms reported was Irregular menstrual cycle, 87%, and the least common symptom was Voice change 13%. 62 % of the students who suffered from PCOS were taking treatments based on hormonal therapy and surgical intervention. Attitude and Practices showed misconceptions about PCOS, and a need for awareness.


2009 ◽  
Vol 30 (5) ◽  
pp. 536-536
Author(s):  
Dimitra A. Vassiliadi ◽  
Thomas M. Barber ◽  
Beverly A. Hughes ◽  
Mark I. McCarthy ◽  
John A. H. Wass ◽  
...  

ABSTRACT Context Polycystic Ovary Syndrome (PCOS) is characterized by hyperandrogenism, anovulation and susceptibility to the metabolic syndrome. Altered peripheral cortisol metabolism has been reported in PCOS but also in simple obesity. Objective To describe cortisol metabolism and metabolic characteristics of a large PCOS cohort and to delineate the effect of obesity by comparison to BMI-matched controls. Design Observational, cross-sectional study. Setting Outpatient clinics of two secondary/tertiary care centres Patients or Other Participants 178 PCOS patients fulfilling Rotterdam criteria and 100 BMI-matched controls. Intervention 24-h urine collection for steroid metabolite excretion, fasting blood samples followed by an OGTT. Main Outcome Measures Urinary steroid metabolites including glucocorticoids and androgens and the ratios reflecting enzymatic activities involved in peripheral cortisol and androgen metabolism, 5α-reductase and 11β-hydroxysteroid dehydrogenase type 1 and 2. Circulating levels of glucose, insulin, DHEA, DHEAS and testosterone, calculation of HOMA. Results Total androgen metabolites were higher in PCOS compared to BMI-matched controls (4105 ± 2047 vs. 2532 ± 1610 μg/24h for the non-obese, 5547 ± 2911 vs. 2468 ± 1794 μg/24hr for the obese, both p &lt; 0.001). Total glucocorticoid metabolites were higher in obese PCOS vs. controls (10786 ± 3852 vs. 8834 ± 4487 μg/24hr, p = 0.001). 5α-reductase activity correlated with BMI, insulin levels and HOMA. Both obese and non-obese PCOS patients had higher 5α-reductase activity than controls (all p &lt; 0.05). 11β-hydroxysteroid dehydrogenase activities did not differ between PCOS and controls. Conclusions PCOS is associated with enhanced androgen and cortisol metabolite excretion and increased 5α-reductase activity that cannot be explained by obesity alone. Increased adrenal corticosteroid production represents an important pathogenic pathway in PCOS.


2011 ◽  
Vol 22 (3) ◽  
pp. 188-206
Author(s):  
MALLIKA AZIZIA ◽  
PAUL HARDIMAN

Polycystic ovary syndrome (PCOS) is a common hormonal disorder affecting around 5–8% of women of reproductive age. It has a variable clinical spectrum including hyperandrogenism, menstrual abnormalities, polycystic ovaries and metabolic features like diabetes mellitus, obesity and dyslipidaemia. The manifestation of PCOS and its impact especially on reproductive function and pregnancy are profoundly affected by associated features of obesity/raised body mass index and metabolic syndrome.


2021 ◽  
Author(s):  
Mahsa Yarjanli ◽  
shahideh Jahanian Sadatmahalleh ◽  
Negin Mirzaei ◽  
Khadijeh Azarbajani

Abstract Background: Polycystic ovary syndrome (PCOS) coexisting mood disorders along with a combination of aesthetic manifestations may have a detrimental effect on women's sexual function. Hence, different phenotypes of PCOS have different clinical and biochemical signs and symptoms. The aim of this study was to compare women's sexual function (SF) in different phenotypes of PCOS.Methods: This cross-sectional study was conducted on 364 women who met the Rotterdam diagnostic criteria to compare different PCOS phenotypes (A=95, B=78, C=95, and D=95). All patients were invited to fill out the female sexual function index (FSFI).Results: Significant differences were observed between the different phenotypes in terms of total score, sexual desire, arousal, lubrication, and satisfaction (P<0.001); however, no significant differences were found between them in the terms of pain (P>0.05) and orgasm (P>0.05). In addition, phenotype B had the lowest mean score of total FSFI (P<0.05).Conclusion: The results indicated that women's SF is significantly different in different PCOS phenotypes. It is concluded that in order to solve the SF problems of women with PCOS, different treatment and care measures should be considered according to the relevant phenotype.


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