Relationship Between Number of Oocytes Retrieved and Embryo Euploidy Rate in Controlled Ovarian Stimulation Cycles.

This cohort study is aimed to determine if higher number of oocytes retrieved affects the rate of euploidy in the embryos of women undergoing controlled ovarian stimulation (COS) for in vitro fertilization (IVF) with preimplantation genetic testing for aneuploidy (PGT-A). A negative trend between the number of oocytes retrieved and embryo euploidy rate was observed using Visual Analytics software, especially when a higher number of oocytes were retrieved. After regression analysis, patient age was the only variable found to have a statistically significant negative effect (p < 0.0001) on euploidy rate in all regression models. Number of oocytes retrieved was not found to have a statistically significant effect on euploidy rate when analyzed per number of biopsied blastocysts (p = 0.5356), per number of oocytes retrieved (p = 0.1025), and per number of fertilized oocytes (p = 0.7241). The parameter estimates in the linear regression models were negative for number of oocytes retrieved. This study shows a statistically significant effect between patient age and embryo euploidy rate, which is already known. There is some evidence to suggest that higher number of oocytes retrieved may negatively impact the number of euploid embryos per number of oocytes retrieved based on the visual analytic graphs, p value approaching significance, and the negative parameter estimates in the regression models.

The severity of individual menopausal symptoms, cardiovascular disease, and all-cause mortality in the Women's Health Initiative Observational Cohort.

OBJECTIVE: The aim of this study was to examine the association between common menopausal symptoms (MS) and long-term cardiovascular disease (CVD) and all-cause mortality. METHODS: In an observational cohort of 80,278 postmenopausal women with no known CVD at baseline from the Women's Health Initiative, we assessed individual MS severity (mild vs none; moderate/severe vs none) for night sweats, hot flashes, waking up several times at night, joint pain or stiffness, headaches or migraines, vaginal or genital dryness, heart racing or skipping beats, breast tenderness, dizziness, tremors (shakes), feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating. Outcomes included total CVD events (primary) and all-cause mortality (secondary). Associations between specific MS, their severity, and outcomes were assessed during a median of 8.2 years of follow-up. All results were multivariable adjusted, and individual associations were Bonferroni corrected to adjust for multiple comparisons. A machine learning approach (least absolute shrinkage and selection operator) was used to select the most parsimonious set of MS most predictive of CVD and all-cause mortality. RESULTS: The severity of night sweats, waking up several times at night, joint pain or stiffness, heart racing or skipping beats, dizziness, feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating were each significantly associated with total CVD. The largest hazard ratio (HR) for total CVD was found for moderate or severe heart racing or skipping beats (HR, 1.55; 95% confidence interval [CI], 1.29-1.86). The individual severities of heart racing or skipping beats, dizziness, tremors (shakes), feeling tired, forgetfulness, mood swings, restless or fidgety, and difficulty concentrating were associated with increased all-cause mortality. Moderate or severe dizziness had the largest HR (1.58; 95% CI, 1.24-2.01). Multiple symptom modeling via least absolute shrinkage and selection operator selected dizziness, heart racing, feeling tired, and joint pain as most predictive of CVD, whereas dizziness, tremors, and feeling tired were most predictive of all-cause mortality. CONCLUSION: Among postmenopausal women with no known CVD at baseline, the severity of specific individual MS was significantly associated with incident CVD and mortality. Consideration of severe MS may enhance sex-specific CVD risk predication in future cohorts, but caution should be applied as severe MS could also indicate other health conditions.