Literature DB >> 26997601

The Relation between Diverse Phenotypes of PCOS with Clinical Manifestations, Anthropometric Indices and Metabolic Characteristics.

Seyedeh Hajar Shahrami1, Zahra Abbasi Ranjbar2, Forozan Milani1, Ehsan Kezem-Nejad3, Afagh Hassanzadeh Rad4, Seyedeh Fatemeh Dalil Heirat5.   

Abstract

Critical issue regarding to variation of findings based on different phenotypes led investigators to define whether they are distinct features or overlapping ones. Therefore, we aimed to investigate the association between diverse phenotypes of PCOS (Poly Cystic Ovary Syndrome) with clinical manifestations, anthropometric indices, and metabolic characteristics. This was a descriptive cross-sectional study conducted in 15-39 years old women with PCOS referred to infertility clinics in the north part of Iran, Rasht during 2010-2011. Data were gathered through an interview by a form consisted of demographic characteristics, laboratory findings, ovarian volume and anthropometric indices. A total of 214 patients consisted of 161 PCOS (cases) and 53 normal women (controls) participated in this study. The most prevalent phenotype in PCOS population was IM/PCO/HA (54%), followed by IM/HA (28%) and IM/PCO (13%). PCO/HA was present only in 6 PCOS patients (5%). PCOS patients were significantly younger than controls (P=0.07). Results showed that increased ovarian volume were higher in PCOS group in comparison with controls and IM/PCO/HA, and IM/PCO had respectively the largest ovarian volumes. Also, a significant relation was observed based on Cholesterol, 17OHP, LH, TG, 2hpp, and LH/FSH between patients with PCOS and control groups. There were significant differences in demographic, anthropometric, hormonal and ultrasound findings between PCOS and controls. Therefore, it seems that classification of the characteristics of each phenotype could offer an appropriate guide for screening risks of PCOS and may facilitate performing most favorable treatment for these complications.

Entities:  

Keywords:  Hyperandrogenism; Laboratory; PCOS; Phenotypes; Rotterdam criteria

Mesh:

Year:  2016        PMID: 26997601

Source DB:  PubMed          Journal:  Acta Med Iran        ISSN: 0044-6025


  2 in total

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Authors:  Linghui Kong; Qien Wang; Jiewen Jin; Zou Xiang; Taoyu Chen; Shanmei Shen; Hongwei Wang; Qian Gao; Yong Wang
Journal:  PLoS One       Date:  2017-11-10       Impact factor: 3.240

2.  Elucidating the impact of obesity on hormonal and metabolic perturbations in polycystic ovary syndrome phenotypes in Indian women.

Authors:  Roshan Dadachanji; Anushree Patil; Beena Joshi; Srabani Mukherjee
Journal:  PLoS One       Date:  2021-02-26       Impact factor: 3.240

  2 in total

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