@article{Bahadur_Ijaz_Baqai_Asif_2023, title={Diagnostic Accuracy of Anti-Mullerian Hormone for Polycystic Ovary Syndrome}, volume={73}, url={https://pafmj.org/PAFMJ/article/view/4249}, DOI={10.51253/pafmj.v73i2.4249}, abstractNote={<p><strong>Objective:</strong> To determine the diagnostic accuracy of Anti-Mullerian Hormone in Polycystic ovary syndrome detection, keeping Rotterdam criteria as a gold standard.</p> <p><strong>Study Design:</strong> Cross-sectional study.</p> <p><strong>Place and Duration of Study:</strong> Armed Forces Institute of Pathology, Rawalpindi and Rehman Medical Institute, (RMI)Peshawar, Pakistan from Jul 2018 to Jun 2019.</p> <p><strong>Methodology:</strong> The study included one hundred and forty clinically suspected patients of polycystic ovary syndrome (PCOS) of 16-45 years of age. Blood samples were analyzed for serum Anti-Mullerian Hormone analysis on Architect ci 8200 System using the Chemiluminescent immunoassay technique. AMH was considered positive for Polycystic ovary syndrome at a threshold of 4.9ng/ml. In addition, AMH’s diagnostic accuracy was evaluated, considering the Rotterdam criteria of PCOS as a gold standard.</p> <p><strong>Results:</strong> The mean age and mean BMI of the study subjects were 26.73±5.07 years and 30.43±4.83kg/m2, respectively. The mean follicle-stimulating and Luteinizing hormones were 4.34±0.68mIU/ml and 5.24±1.43mIU/ml, respectively. The mean Anti-Mullerian hormone of all patients was 7.79±4.62ng/ml. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), the likelihood ratio of a positive test (LR+) and Likelihood ratio of a Negative Test (LR-) of AntiMullerian hormone were 91.8%, 74.7%, 73.7%, 92.2%, 3.63%, 0.11%, respectively and overall diagnostic accuracy was 82.1%.</p> <p><strong>Conclusion:</strong> Anti-Mullerian hormone can effectively determine the existence of Polycystic ovary syndrome among women of reproductive age and serve as a sensitive diagnostic tool for Polycystic ovary syndrome.</p>}, number={2}, journal={Pakistan Armed Forces Medical Journal}, author={Bahadur, Kulsoom and Ijaz, Aamir and Baqai, Shehla and Asif, Naveed}, year={2023}, month={Apr.}, pages={329–32} }