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Abstracto

Assessment of Poly Cystic Ovarian Syndrome in Female Saudi Population Using Ultrasonography in Najran Province, KSA

Sawsan AA Osman and Sabah E Mohammed

Polycystic ovary syndrome (PCOS) is considered to be the most common endocrine disorder in women of reproductive age, the assessment of poly cystic ovarian Syndrome in female Saudi population using ultrasonography This Cross sectional clinical study was conducted at the Maternity and Children Hospital and University Hospital in Najran province, Saudi Arabia during the period from January to December 2018. One hundred seventy-six women were examined for PCOS, Ultrasound scans were performed using a GE Healthcare. Ovaries were scanned from the inner to outer margins in both the transverse and sagittal planes.

The results that reveal the correlation between sign and symptoms and infertility, the main symptoms were patients with no signs no sign, pelvic pain, acne, and hirsutism. And the categories of infertility were primary infertility and secondary infertility. For primary infertility, the higher number of patients who had pelvic pain, in 18 and 8 patients, respectively. For secondary infertility, the higher frequency of pelvic pain then patients with no sign in 21 and 18 patients, respectively.

Correlation between US approach and number of follicles, the ultrasound approach was Transvaginal and Transabdominal. And the number of follicles, using TA approach was 0 follicle in 61 patients, < 10 follicles in 38 patients and >10 follicles in 29 patients. The TV approach was 0 follicle in18 patients, <10 follicles in 20 patients and > 10 follicles in 10 patients. The findings of the present study revealed a high prevalence of PCOS among Saudi women that may require urgent health education interventions to prevent the associated consequences. Finally, we have suggested potential areas of translational and clinical research for the future with specific emphasis on hormonal and metabolic aspects of PCOS.

Descargo de responsabilidad: este resumen se tradujo utilizando herramientas de inteligencia artificial y aún no ha sido revisado ni verificado.