Effect of body mass index on in vitro fertilization outcomes in women with polycystic ovary syndrome

Autor: Elena H. Yanushpolsky, L.K. Hawkins, Stacey A. Missmer, Katharine F. Correia, A.P. Bailey
Rok vydání: 2014
Předmět:
Zdroj: American Journal of Obstetrics and Gynecology. 211:163.e1-163.e6
ISSN: 0002-9378
DOI: 10.1016/j.ajog.2014.03.035
Popis: Objective The objective of the investigation was to study the effect of body mass index (BMI) on in vitro fertilization (IVF) outcomes within a polycystic ovary syndrome (PCOS) population. Study Design This was a retrospective cohort study including 101 cycles from 79 women younger than 40 years old with a clinically documented diagnosis of PCOS by Rotterdam criteria undergoing IVF at a university-based infertility clinic from 2001 through 2010. All participants were stratified by BMI calculated from height and weight recorded within 3 months of cycle start: lean (18.7-24.9 kg/m 2 , n = 51), overweight (25-29.9 kg/m 2 , n = 19), and obese (≥30 kg/m 2 , n = 31). Linear, logistic, and Poisson regressions were used as appropriate to estimate the effect of a range of BMIs on IVF outcomes while adjusting for potential confounders. Results Obese PCOS women had 69% lower odds of clinical pregnancy per cycle start (odds ratio [OR], 0.31; 95% confidence interval [CI], 0.11–0.86; P = .02) and 77% lower odds of clinical pregnancy per embryo transfer (OR, 0.23; 95% CI, –0.08 to 0.68; P = .008) compared with lean PCOS women. Among obese PCOS women, the odds of live birth were 71% lower per cycle start (OR, 0.29; 95% CI, 0.10–0.84; P = .02) and 77% lower per embryo transfer (OR, 0.23; 95% CI, 0.07–0.71; P = .01) compared with lean PCOS women. There was a trend toward decreased ovarian hyperstimulation syndrome incidence with increasing BMI among women with PCOS: 19.6% in lean, 10.5% in overweight, and 3.2% in obese. Conclusion PCOS is a broad syndrome, with our results demonstrating 2 distinct populations, lean and obese, which have different IVF outcomes including ovarian hyperstimulation syndrome risk profiles. This information is important for clinicians because it informs treatment decisions.
Databáze: OpenAIRE