ASSESS THE RELATIONSHIP BETWEEN OVARIAN VOLUME AND FASTING PLASMA INSULIN RESISTANCE AND LEVELS IN WOMEN WITH POLYCYSTIC OVARIES
DOI:
https://doi.org/10.56802/51erf873Abstract
Background: Polycystic ovarian syndrome, or PCOS, is a lifestyle-related condition whose prevalence has been rising
worldwide, including in India, and which calls for further research.
Aim: The purpose of this study was to use a HOMA 2 model to evaluate how insulin resistance increases as ovarian size
increases. Using hemostasis model assessment 2 (HOMA 2), the study evaluated the relationship between ovarian
volume and fasting plasma insulin resistance and levels in females with polycystic ovaries.
Methods: Transabdominal sonography was used to measure the ovarian capacity in 108 female PCOS patients. Blood
samples were taken from each participant under very rigorous aseptic and sterile circumstances, and they were submitted
to be tested for fasting plasma insulin levels and fasting blood sugar. Insulin resistance, insulin sensitivity, and beta cell
function were evaluated using the HOMA 2 calculator. The collected data were subjected to statistical analysis.
Results: The research participants' mean BMI was 25.55 kg/m2, and they were 26.1 years old. Male pattern pubic hair,
clitoromegaly, acanthosis, acne, hirsutism, alopecia, and hoarseness of voice were observed in 1.85%, 48.15%, 75.92%,
12.96%, 59.26%, 72%, and 79.6% of their respective research participants.
Insulin resistance and BMI (p=0.02), fasting plasma insulin and total ovarian volume (p=0.003), and fasting plasma
insulin and BMI levels (p=0.02) all showed a significant positive connection. Additionally, a negative correlation between
insulin sensitivity and ovarian volume and a positive correlation between insulin resistance and large ovarian volume
were observed.
Conclusion: The current study comes to the conclusion that in females with PCOS, an increase in ovarian volume may
be interpreted as a sign of increased insulin resistance.
Keywords: obesity, polycystic ovarian syndrome, PCOS, insulin resistance, and insulin sensitivity




