Endometrial thickness as a predictive value of ectopic pregnancy in in-vitro fertilization/intracytoplasmic sperm injection cycles: a case-control study

BACKGROUND:
The incidence rate of ectopic pregnancy (EP) with assisted reproductive technology (ART) has been reported to be higher than that of spontaneous pregnancy. Endometrial thickness (EMT) is considered an independent risk factor.


OBJECTIVES:
Evaluation of endometrial thickness as a predictor of ectopic pregnancy in vitro fertilization/intracytoplasmic sperm injection (IVF/ICSI) cycles.


DESIGN:
Case-control study


SETTING:
Women's Health Specialist Hospital, formerly known as King Abdulaziz Medical City, National Guard Health Affairs, Riyadh, Saudi Arabia.


PATIENTS AND METHODS:
This study was a 1:2 matched case–control study that enrolled 24 ectopic pregnancy patients and 50 matched intrauterine pregnancy patients. They were matched on maternal age, the presence of tubal factor, and parity. The estimated sample size for patients with ectopic pregnancy was 25–30, whereas that for controls was estimated to be 60 patients. The sampling technique was a purposive (nonprobability).


MAIN OUTCOME MEASURES:
Endometrial thickness after IVF/ICSI is a predictor of ectopic pregnancy.


SAMPLE:
79 patients


RESULTS:
Multivariate logistic regression analysis was performed to analyze EP predictors, and a receiver operating characteristic (ROC) curve was used to evaluate the predictors of EP. After adjustment for other factors in the logistic regression model, we found that the tubular factor increased the risk of EP by 7.6 times, whereas the ovarian factor significantly decreased EP by 85%. Other factors, including EMT, did not significantly affect the probability of developing ectopic pregnancy.


CONCLUSIONS:
EMT was not predictive nor protective of EP in women who underwent ART cycles. Nevertheless, the presence of tubular factors has strong predictive value, whereas ovarian factors have significant protective value against EP.


LIMITATIONS:
The study design affects the generalizability and level of evidence provided. The small sample size and single-center inclusion had an impact on the results and statistical tests used.