Improvements in PCOS characteristics and phenotype severity during a randomized controlled lifestyle intervention.

RESEARCH QUESTION: What is the effect of weight loss through different interventions (three-component lifestyle intervention with short message service [SMS+] versus three-component lifestyle intervention without SMS [SMS-] versus care as usual [CAU]) on polycystic ovary syndrome (PCOS) characteristics (ovulatory dysfunction, hyperandrogenism, polycystic ovarian morphology [PCOM]) and phenotype distribution? DESIGN: Analysis of secondary outcome measures of a randomized controlled trial. Women diagnosed with PCOS (n = 183), who wished to become pregnant, with a body mass index above 25 kg/m², were assigned to a 1-year three-component (cognitive behavioural therapy, diet, exercise) lifestyle intervention group, with or without SMS, or to CAU (advice to lose weight). RESULTS: The prevalence of biochemical hyperandrogenism was 30.9% less in the SMS- group compared with CAU after 1 year (P = 0.027). Within-group analyses revealed significant improvements in ovulatory dysfunction (SMS+: -39.8%, P = 0.001; SMS-: -30.5%, P = 0.001; CAU: -32.1%, P < 0.001), biochemical hyperandrogenism (SMS-: -27.8%, P = 0.007) and PCOM (SMS-: -14.0%, P = 0.034). Weight loss had a significantly favourable effect on the chance of having ovulatory dysfunction (estimate 0.157 SE 0.030, P < 0.001) and hyperandrogenism (estimate 0.097 SE 0.027, P < 0.001). CONCLUSIONS: All groups demonstrated improvements in PCOS characteristics, although these were more profound within the lifestyle intervention groups. Weight loss per se led to an amelioration of diagnostic characteristics and in the phenotype of PCOS. A three-component lifestyle intervention aimed at a 5-10% weight loss should be recommended for all women with PCOS before they become pregnant.

Effects of follicular output rate on cumulative clinical pregnancy rate and cumulative live birth rate in PCOS patients with different characteristics.

Objective: We aim to explore the effects of follicular output rate (FORT) on cumulative clinical pregnancy rate (CCPR) and cumulative live birth rate (CLBR) in polycystic ovary syndrome (PCOS) patients with different characteristics undergoing in vitro fertilization (IVF) treatment. Methods: This retrospective study analyzed 454 patients with PCOS undergoing their first IVF cycle at our center from January 2016 to December 2020. FORT was calculated as pre-ovulatory follicle count (PFC) × 100/antral follicle count (AFC). Multivariate regression analyses were conducted to explore the relationships between FORT and CCPR and CLBR. Curve fitting and threshold effect analyses were established to find nonlinear relationships. Effect modification in different subgroups were examined by stratification analyses. Results: Based on the FORT values, individuals were classified into the following three groups: low-FORT group, middle-FORT group and high-FORT group. Multivariate regression analyses revealed that FORT was an independent factor affecting the CCPR and CLBR significantly (OR = 1.015, 95% CI: 1.001, 1.030 and OR = 1.010, 95% CI:1.001, 1.020). Curve fitting and threshold effect analyses showed that the CCPR and CLBR had a positive correlation with FORT when the FORT was less than 70% (OR = 1.039, 95% CI: 1.013, 1.065 and OR = 1.024, 95% CI: 1.004, 1.044). Stratification analyses showed that the CLBR increased by 1.3% with each additional unit of FORT for patients with hyperandrogenic manifestations (OR = 1.013, 95% CI: 1.001, 1.025). Compared with the low-FORT group, in the high-FORT group, CCPR increased 1.251 times for patients with polycystic ovarian morphology, while CCPR and CLBR increased 1.891 times and 0.99 times for those with ovulation disorder, respectively (OR = 2.251, 95% CI: 1.008, 5.028 and OR = 2.891, 95% CI: 1.332, 6.323 and OR = 1.990, 95% CI: 1.133, 3.494). Conclusion: In patients with PCOS, cumulative IVF outcomes have a positive correlation with FORT when the FORT is less than 70%. For PCOS patients with polycystic ovarian morphology, ovulation disorder or hyperandrogenic manifestations, a high FORT could be conductive to achieving better pregnancy outcomes.