Impact of Ovarian Endometrioma and Surgery on Reproductive Outcomes: A Single-Center Spanish Cohort Study.
Alicia HernándezAngela SanzEmanuela SpagnoloAna LopezPaloma Martínez JorgeSilvia IniestaElena RodríguezSara Fernández PradaDavid Ramiro-CortijoPublished in: Biomedicines (2023)
Anti-Müllerian hormone (AMH) and antral follicular count (AFC) decrease in women with ovarian endometrioma (OMA) and in vitro fertilization (IVF). In addition, these parameters drop even further when women with OMA undergo surgery. In this study, the primary aim was to compare the reproductive variables in IVF-treated women with and without endometriosis. The secondary aim was to explore if the reproductive variables were modified by endometrioma surgery. In this retrospective study, 244 women undergoing IVF were enrolled at the Hospital Universitario La Paz (Madrid, Spain). Women were categorized as OMA not surgically treated (OMA; n = 124), OMA with surgery (OMA + S; n = 55), and women with infertility issues not related to OMA (control; n = 65). Demographic and clinical variables, including age, body mass index (BMI), and reproductive (AMH, AFC, number of extracted oocytes, and transferred embryos) and obstetrical data (biochemical pregnancy and fetal heart rate at 6 weeks) were collected. Adjusted logistic regression models were built to evaluate reproductive and pregnancy outcomes. The models showed that women with OMA (with and without surgery) had significantly decreased levels of AMH and AFC and numbers of cycles and C + D embryos. Women with OMA + S had similar rates of pregnancy to women in the control group. However, women with OMA had lower biochemical pregnancy than controls (aOR = 0.08 [0.01; 0.50]; p -value = 0.025). OMA surgery seems to improve pregnancy outcomes, at least until 6 weeks of gestation. However, it is important to counsel the patients about surgery expectations due to the fact that endometrioma itself reduces the quality of oocytes.
Keyphrases
- pregnancy outcomes
- minimally invasive
- coronary artery bypass
- pregnant women
- body mass index
- heart rate
- surgical site infection
- blood pressure
- polycystic ovary syndrome
- metabolic syndrome
- skeletal muscle
- physical activity
- adipose tissue
- gestational age
- machine learning
- insulin resistance
- deep learning
- emergency department
- prognostic factors
- preterm infants
- peripheral blood
- electronic health record
- quality improvement
- drug induced