Analysis of factors associated with ovarian reserve in a group of poor responders to in vitro fertilization: A cross-sectional study

• Main Authors: Budi Wiweko (Author), Quamila Fahrizani Afdi (Author), Achmad Kemal Harzif (Author), Gita Pratama (Author), Kanadi Sumapradja (Author), Raden Muharam (Author), Andon Hestiantoro (Author), Sarah Chairani Zakirah (Author)
• Format: Book
• Published: Shahid Sadoughi University of Medical Sciences, 2020-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2476-3772; 10.18502/ijrm.v18i12.8028
• Keywords: ovarian reserve, poseidon, in vitro fertilization.; Gynecology and obstetrics; RG1-991; Reproduction; QH471-489
• Source: International Journal of Reproductive BioMedicine, Vol 18, Pp 1065-1072 (2020)

Background: Poor ovarian reserve and a high rate of pregnancy failure associated with low quality and quantity of oocytes are observed in poor responders to in vitro fertilization. Objective: To assess the effect of age, body mass index (BMI), endometriosis, and history of ovarian surgery on ovarian reserve in a group of poor responders. Materials and Methods: In this cross-sectional study 749 women who referred to Yasmin Clinic of Dr. Cipto Mangunkusumo National General Hospital from January 2013 to June 2017 were enrolled. Two definitions of poor responders and Poseidon criteria and consecutive sampling techniques were used. Participants were divided into good and poor responder groups based on the ovarian reserve test; participant with oocyte ≤ 3 was classified as a poor responder. Based on this, 188 participants with nine (4-47) oocytes were included in the poor responder group. While, good responder comprised of two (0-3) oocytes. Results: Age and anti-Mullerian hormone level (AMH) were significantly associated with ovarian reserve in the poor-responder group (p < 0.001). However, in multivariate analyses, age was the only significant predictor of ovarian response in the poor-responder group (p = 0.004). While endometriosis was the significant predictor of Poseidon groups 1 and 4, surgical history was the significant predictor of Poseidon groups 2 and 3. Meanwhile, an increase in BMI decreased the risk of classification under Poseidon group 3. Conclusion: Age, AMH, BMI, endometriosis, and history of ovarian surgery affected the risk of classification of the Poseidon group.