Matrix Science Pharma

ORIGINAL ARTICLE
Year
: 2022  |  Volume : 6  |  Issue : 1  |  Page : 23--33

Clinical profiling of polycystic ovary syndrome patients in Kashmir population


Ahila Ashraf1, Rajesh Singh2, Shahnawaz Mir3 
1 Department of Biochemistry, School of Applied Sciences, Shri Venkateshwara University, Gajraula, Uttar Pradesh; Centre of Research for Development, University of Kashmir, India
2 Department of Biochemistry, School of Applied Sciences, Shri Venkateshwara University, Gajraula, Uttar Pradesh, India
3 Department of Endocrinology, Government Medical College, Superspeciality Hospital Srinagar, Srinagar, Jammu and Kashmir, India

Correspondence Address:
Dr. Ahila Ashraf
Department of Biochemistry, School of Applied Sciences, Shri Venkateshwara University, Amroha, Gajraula - 244 236, Uttar Pradesh
India

Background: Polycystic ovary syndrome (PCOS) is a major endocrinopathy that affects women during their child-bearing age. PCOS women exhibit excess androgens, irregular or no ovulation, and polycystic ovaries. Objective: The aim of this study was to evaluate the demographic, anthropometric, physical, reproductive, metabolic, endocrine parameters, and ovarian volume (OV) of PCOS women. Materials and Methods: This study was case control including the clinically diagnosed PCOS women (100) and healthy women (100) as controls. Both groups were assessed for the demographic features such as age, anthropometric parameters such as height and weight, physical parameters such as body mass index (BMI), waist-Hip ratio, reproductive parameters such as menarche, and hirsutism (Ferriman Gallwey Score, acne, and alopecia), and the biochemical parameters including blood sugar fasting (BSF), hormone profile (luteinizing hormone [LH], follicle-stimulating hormone [FSH], testosterone, and prolactin), lipid profile (cholesterol, triglycerides, high-density lipoprotein [HDL], low-density lipoprotein [LDL], and very LDL [VLDL]), thyroid-stimulating hormone (TSH) using prestructured questionnaire. The OV was observed by ultrasonography. Results: We observed significantly higher body weight, BMI, waist/hip ratio, reproductive cycle duration, prevalence of hirsutism, LH, FSH, testosterone, prolactin, triglycerides, HDL, LDL levels, and OV in patients compared to controls. However, the average number of cycles per year and VLDL levels were significantly lower in the patient. No significant difference was found in BSF and TSH levels between the patient and control groups. Conclusion: The proper evaluation of the demographic, anthropometric, physical, reproductive, metabolic, endocrine parameters, and OV may help in the accurate diagnosis of PCOS that will benefit the affected women with timely therapy commencement.


How to cite this article:
Ashraf A, Singh R, Mir S. Clinical profiling of polycystic ovary syndrome patients in Kashmir population.Matrix Sci Pharma 2022;6:23-33


How to cite this URL:
Ashraf A, Singh R, Mir S. Clinical profiling of polycystic ovary syndrome patients in Kashmir population. Matrix Sci Pharma [serial online] 2022 [cited 2022 Sep 24 ];6:23-33
Available from: https://www.matrixscipharma.org/article.asp?issn=2521-0815;year=2022;volume=6;issue=1;spage=23;epage=33;aulast=Ashraf;type=0