Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype

Bil, Enes; Dilbaz, Berna; Cırık, Derya Akdağ; Özelçi, Runa; Özkaya, Enis; Dilbaz, Serdar

doi:10.1111/jog.12985

Cited by 45 publications

(44 citation statements)

References 31 publications

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“…According to our results, adolescents with four PCOS phenotypes had similar rates of insulin resistance, as evaluated using HOMA-IR. This finding was in concordance with the results from previous studies [19,20], and it confirms that insulin resistance is the common underlying feature of PCOS in adolescence.…”

Section: Discussionsupporting

confidence: 83%

“…Increased body weight is accepted as a major risk factor for MS. Increased body mass and androgen levels were also known to be related to inflammatory response, and proinflammatory cytokine production like TNF-α also contributes to development of insulin resistance and metabolic syndrome in PCOS [18][19][20][21][22][23][24][25]. In accordance to literature, more than half of the Turkish PCOS adolescents were overweight in the present study.…”

Section: Discussionsupporting

confidence: 78%

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The incidence of metabolic syndrome in adolescents with different phenotypes of PCOS

et al. 2017

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Objectives: To evaluate the incidence of metabolic syndrome in Turkish adolescents with different phenotypes of polycystic ovary syndrome (PCOS). Material and methods:This cross-sectional study was performed on the Youth Center clinic of a tertiary referral hospital in Turkey. Adolescents with PCOS (n = 144) were classified into four phenotype groups according to the presence of oligo/anovulation (O), hyperandrogenism (H), and polycystic ovarian morphology (P) as follows: Phenotype A (O + H + P), Phenotype B (H + O), Phenotype C (H + P), Phenotype D (O + P). The adolescents gave early follicular phase blood samples for endocrine and metabolic tests. The incidence and the presence of parameters of metabolic syndrome were assessed among the four groups. Results:In total, 54.9% of the adolescents with PCOS were overweight and 25.7% had metabolic syndrome. The incidence of metabolic syndrome in Phenotypes A-D were as follows: 39.5%, 20.5%, 26.5%, and 15.2%, respectively. Although body mass index was higher in the Phenotype A group, insulin resistance was similar in all of the phenotype groups. The most common dyslipidemia was low HDL-C levels and this was present in more than half of the adolescents with PCOS. Both body mass index and total testosterone levels were significantly higher in adolescents with metabolic syndrome in comparison to those without metabolic syndrome. Conclusions:Although low HDL-C levels and insulin resistance are common PCOS findings in adolescents, the metabolic profile seems to be worse in Phenotype A than the other phenotypes. Therefore, screening programs should evaluate patients based on the known risk factors and phenotypes for adolescents with PCOS.

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Section: Discussionsupporting

confidence: 83%

Section: Discussionsupporting

confidence: 78%

The incidence of metabolic syndrome in adolescents with different phenotypes of PCOS

et al. 2017

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“…These findings is contestant with other recent studies reported VAI as a predictor for metabolic syndrome in PCOS patients. 34,37 In the present study, VAI was very strongly correlated with waist circumference, , TG and HDL-c , also moderately correlated with systolic B.P ,BMI, HOMA-IR and insulin levels. Therefore, in the present study it is not surprising that VAI had a good value in predicting Met Syndrome in PCOS women and a good marker of cardiometabolic risk in PCOS patients.…”

Section: Discussionmentioning

confidence: 57%

“…These findings were similar with other studies in PCOS women, but in logistic regression analysis we found visceral obesity was none a significant risk factor for US polycystic ovarian morphology. 34 The morphological features of the ovaries in women with polycystic ovarian syndrome include enlarged ovary size, multiple small follicles of similar size, increased ovarian stromal volume, and echogenicity, peripheral distribution of the follicles, and higher stromal blood flow. Ultrasound polycystic ovarian morphology (PCOM) has been recognized as a component of PCOS diagnosis.…”

Section: Discussionmentioning

confidence: 99%

“…10 Recent studies evaluated VAI in women with PCOS and reported that VAI correlated with insulin resistance, differentiate the "metabolically healthy polycystic ovary syndrome" from the "metabolically unhealthy polycystic ovary syndrome" Also VAI replace visceral CT scan as a marker for visceral adiposity. [11][12][13] VAI is considered a predictor of clinical severity and therapeutic outcome of PCOS.…”

Section: Introductionmentioning

confidence: 99%

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Visceral adiposity index correlation with Rotterdam criteria in patients with polycystic ovary syndrome

Aboelnaga

Elshahawy

2016

Int J Reprod Contracept Obstet Gynecol

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Metabolic syndrome and its components in different phenotypes of polycystic ovary syndrome

Krentowska

Kowalska

2021

Diabetes Metabolism Res

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Polycystic ovary syndrome (PCOS) is the most common endocrinopathy affecting reproductive-age women. Important factors in its pathogenesis are hyperinsulinaemia and insulin resistance, which lead to higher risk of metabolic syndrome (MetS) and its complications. With the implementation of the Rotterdam diagnostic criteria in 2003, the group of PCOS patients became highly heterogeneous, with varying metabolic risk reported for different phenotypes of the syndrome. The aim of the present review is to assess the prevalence and severity of MetS and its components in patients with the four phenotypes of PCOS. A comprehensive search of Pubmed database was performed to identify studies comparing metabolic characteristics between PCOS patients with different phenotypes of the syndrome. The results of 60 studies published between 2004 and 2020 were retrieved and analysed. More adverse metabolic profile was observed in PCOS patients with hyperandrogenic phenotypes in comparison to normoandrogenic patients, as well as in classic phenotypes, defined by National Institutes of Health criteria, in comparison to newer phenotypes introduced by the Rotterdam criteria. In the majority of observations, normoandrogenic PCOS patients did not differ significantly from controls in terms of metabolic characteristics, although some East Asian studies reported more adverse metabolic profile in normoandrogenic phenotype in comparison to healthy women. In conclusion, metabolic abnormalities in PCOS seem to be associated with joint effects of hyperandrogenism, insulin resistance and visceral obesity. The differences observed between the four phenotypes of PCOS underline the need for individualised diagnostic and therapeutic approach.

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Metabolic syndrome and metabolic risk profile according to polycystic ovary syndrome phenotype

Abstract: Phenotypes A and B had the highest risk of MetS among the four phenotypes, and VAI may be a predictor of metabolic risk in PCOS women.

Cited by 45 publications

References 31 publications

The incidence of metabolic syndrome in adolescents with different phenotypes of PCOS

The incidence of metabolic syndrome in adolescents with different phenotypes of PCOS

Visceral adiposity index correlation with Rotterdam criteria in patients with polycystic ovary syndrome

Metabolic syndrome and its components in different phenotypes of polycystic ovary syndrome

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