Value of Insulin Resistance Indices for Detecting Insulin Resistance in Polycystic Ovarian Syndrome Patients: A Case-control Cross Sectional Study

Abstract

Polycystic Ovarian Syndrome (PCOS) is characterized by an increased ovarian and androgen hormone secretion. Insulin resistance is thought to be a high risk in PCOS patients (IR). IR is a symptom of PCOS that includes impaired glucose tolerance and increased insulin production. The HOMA-IR test measures blood glucose and insulin levels to assess insulin resistance. Other indices for determining IR are the quantitative insulin sensitivity check index (QUICKI) and the McAuley index. In order to ascertain the IR among PCOS participants, the HOMA-IR, QUICKI, and McAuley index were used in this study. There were 62 participants in this case-control cross-sectional study who ranged in age from 20 to 40. They were split into two groups, Group A, which included 31 healthy, age-matched female participants, and Group B, which included 31 PCOS patients who had been diagnosed using Rotterdam criteria. Utilizing HOMA-IR, QUICKI, and the McAuley index, IR was evaluated in accordance with the examined biochemical data. Student t-test, ROC curve, and bivariate regression analysis were carried out for statistical analysis. This study found that a rise in BMI was associated with an increased probability of developing PCOS. Fasting glucose, insulin, and lipid profiles—all save HDL-C—were all noticeably higher in PCOS patients. The HOMA-IR was dramatically elevated whereas the QUICKI and McAuley's indexes were significantly decreased in PCOS patients, indicating a higher risk of IR development. The chance of developing IR in PCOS patients increases by 86.25% when HOMA-IR levels rise compared to the other indexes, according to crude odds that were estimated. However, QUICKI and the McAuley index can also be used to forecast risk. HOMA-IR has a greater predictive% of developing IR in PCOS persons.