Alaa A Ahmed1, Said S Moselhy2, Taha A Kumosani3, Etimad A Huwait3, Maryam A Al-Ghamdi3, Khalid A Al-Madani4, Majdi H AlToukhi5, Afnan T Kumosani6. 1. Head of Radiology Department, Ghamra Armed Forces Hospital, Cairo-Egypt. 2. Biochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt. 3. Biochemistry Department, Faculty of science, King Abdulaziz University, Jeddah. Experimental Biochemistry unit, King Fahd Medical Research center and Production of bio products for industrial applications research Group, King Abdulaziz University. 4. Consultant in Clinical Nutrition,Member of the Boardof ILSI Middel East, Member of the Board of Saudi Society for Food and Nutrition. Advance Clinics, Jeddah, Saudi Arabia. 5. Consultant Public Health & Infectious Diseases, Director Health & Environment Department, The General Authority of Metrology and Environmental Protection, Saudi Arabia. 6. Department of pathology and Laboratory Medicine, Transfusion Blood medicine Bank, King Abdulaziz Medical city, Jeddah, National Guards, , Jeddah, 21423.
Abstract
BACKGROUND: Polycystic ovary syndrome (PCOS) is considered as a common cause of hormonal disturbance and obesity. The diagnosis of PCOS was done by different methods including clinical signs as anovulation, hyperandrogenism, biochemical markers and ultrasounographic investigation. This study investigated comparative outcomes of ultrasonographic and biochemical markers for early prediction of PCOS in obese women. SUBJECTS AND METHODS: Seventy-five patients were clinically diagnosed with obese, PCOS and obese with PCOS and twenty-five normal age matched subjects were enrolled as control. Abdominal and transvaginal ultrasonographic for assessment of ovarian properties. In addition, BMI, serum free testosterone, dehydroepiandrosterone (DHEA), insulin, glycosylated hemoglobin (HbA1c) and LDL-c levels were evaluated. RESULT: In obese patients with PCOs (20%) ovaries revealed normal appearance in morphology while the rest (80%) showed PCOs in the form of cysts of 2-8 mm in diameter peripherally arranged around stroma. A significant elevation of free testosterone, DHEA and insulin in obese with or without PCOS compared with obese group (p<0.001). A positive correlation with hormonal abnormalities of increased HA1c, LDL-c, free testosterone, DHEA and insulin compared with obese only. CONCLUSION: According to our study findings, ovarian morphology combined with biochemical markers is more reliable for early prediction and diagnosis of PCOS for interpretation and management.
BACKGROUND: Polycystic ovary syndrome (PCOS) is considered as a common cause of hormonal disturbance and obesity. The diagnosis of PCOS was done by different methods including clinical signs as anovulation, hyperandrogenism, biochemical markers and ultrasounographic investigation. This study investigated comparative outcomes of ultrasonographic and biochemical markers for early prediction of PCOS in obese women. SUBJECTS AND METHODS: Seventy-five patients were clinically diagnosed with obese, PCOS and obese with PCOS and twenty-five normal age matched subjects were enrolled as control. Abdominal and transvaginal ultrasonographic for assessment of ovarian properties. In addition, BMI, serum free testosterone, dehydroepiandrosterone (DHEA), insulin, glycosylated hemoglobin (HbA1c) and LDL-c levels were evaluated. RESULT: In obese patients with PCOs (20%) ovaries revealed normal appearance in morphology while the rest (80%) showed PCOs in the form of cysts of 2-8 mm in diameter peripherally arranged around stroma. A significant elevation of free testosterone, DHEA and insulin in obese with or without PCOS compared with obese group (p<0.001). A positive correlation with hormonal abnormalities of increased HA1c, LDL-c, free testosterone, DHEA and insulin compared with obese only. CONCLUSION: According to our study findings, ovarian morphology combined with biochemical markers is more reliable for early prediction and diagnosis of PCOS for interpretation and management.
Authors: Robert A Wild; Enrico Carmina; Evanthia Diamanti-Kandarakis; Anuja Dokras; Hector F Escobar-Morreale; Walter Futterweit; Rogerio Lobo; Robert J Norman; Evelyn Talbott; Daniel A Dumesic Journal: J Clin Endocrinol Metab Date: 2010-04-07 Impact factor: 5.958
Authors: J Adams; S Franks; D W Polson; H D Mason; N Abdulwahid; M Tucker; D V Morris; J Price; H S Jacobs Journal: Lancet Date: 1985 Dec 21-28 Impact factor: 79.321