Pivotal Influence of Obesity on Body Composition and Ovarian Doppler in Different Polycystic Ovarian Syndrome Phenotypes

Cairo University (CU)

Status: Completed

Conditions: Polycystic Ovary Syndrome; Obesity

Treatments: Other: Evaluation

Study type: Observational

Funder types: Other

Identifiers

NCT06164132

P.T.REC/012/004609

Details and patient eligibility

About

The study aimed to explore the impact of obesity on both body composition and ovarian Doppler parameters across various phenotypes of females diagnosed with polycystic ovarian syndrome (PCOS). Additionally, the investigation seeked to establish correlations between these parameters and their prevalence concerning the clinical criteria of PCOS.

Full description

Polycystic ovarian syndrome (PCOS) is a complex and multifactorial condition characterized by endocrinological, reproductive, metabolic, and biochemical abnormalities, affecting 12% to 21% of reproductive-aged females. It has emerged as a significant global public health concern. However, variations in diagnostic criteria and patient selection have led to considerable discrepancies in the absolute prevalence of PCOS and its temporal trends. Previous studies have examined ovarian volume and blood flow indices in both obese and non-obese females with PCOS, albeit employing different criteria for obesity classification. Notably, none have compared these parameters across normal weight, overweight, and obese PCOS females. Therefore, the current study aims to explore the impact of obesity on body composition and ovarian Doppler parameters within distinct PCOS phenotypes. An additional objective is to assess correlations between anthropometric, body composition, and ovarian Doppler parameters and the prevalence of PCOS symptoms.

Enrollment: 100 patients

Sex: Female

Ages: 18 to 40 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Age ranged from 18 to 40 years old.
• Individuals with Polycystic Ovary Syndrome (PCOS) should exhibit at least two of the three features outlined in the Rotterdam criteria for diagnosis, encompassing oligo- or anovulation, clinical and/or biochemical indications of hyperandrogenism, and the presence of polycystic ovaries as identified through ultrasonography.

Exclusion criteria

• Congenital adrenal hyperplasia
• Thyroid dysfunction
• Hyperprolactinemia
• Androgen-secreting tumors
• Cushing syndrome
• Undergoing any medical therapy for the treatment of PCOS or for weight loss.

Trial design

100 participants in 3 patient groups

Normal Weight group

Description:

Their BMI ranged from 18.5 to 24.9 kg/m2.

Treatment:

Other: Evaluation

Overweight group

Description:

Their BMI ranged from 25 to 29.9 kg/m2.

Treatment:

Other: Evaluation

Obese group

Description:

Their BMI was ≥ 30 kg/m2.

Treatment:

Other: Evaluation