Predicting in vitro fertilization success in the Brazilian public health system: a machine learning approach.

Infertility has become a global health problem, increasing the number of couples looking for in vitro fertilization (IVF). Despite advances and technical improvements, some couples remain childless due to the high complexity of the technique. The use of machine learning (ML) in the prediction of pregnancy, computing factors that could interfere in the effectiveness of the treatment, is an important tool to optimize these factors and reach the success of pregnancy. The aim of this study was to apply ML models to determine variables related to pregnancy after IVF in a public health service, including pre-implantation variables. This study included 771 women who underwent IVF treatment at Hospital das Clínicas, Federal University of Minas Gerais, between 2013 and 2019. We used the following Machine Learning algorithms: Logistic Regression, Random Forest, XG Boost and Support Vector Machines. The Random Forest algorithm achieved the best performance, with better accuracy, sensitivity and area under the ROC curve to predict the success of IVF evaluated by pregnancy frequency. We also trained a specific model only for women older than 35 years old. Variables in the Random Forest model related to pregnancy after in vitro fertilization.

Uterine alterations in women undergoing routine hysteroscopy before in vitro fertilization: high prevalence of unsuspected lesions.

OBJECTIVE: The aim of this study was to verify the prevalence of uterine cavity abnormalities diagnosed by routine office hysteroscopy in women preparing to IVF. METHODS: We carried out a retrospective cross-sectional study of 1141 consecutive women who underwent outpatient hysteroscopy before IVF at a tertiary academic center. Of these, 961 participants had a normal transvaginal sonography (TVS) of the uterine cavity. The prevalence of hysteroscopic alterations in successive age strata was submitted to Mantel-Haenzsel Chi-square test for linear trend. The diagnostic accuracy of TVS using hysteroscopy as reference was assessed by calculating the sensitivity, specificity, positive and negative likelihood ratios. RESULTS: Hysteroscopic alterations were present in 265/961 of patients with a negative TVS (prevalence 27.6%, 95% confidence interval [CI] 24.8%-30.5%). The prevalence of unsuspected submucous leiomyoma was higher among older women (p=0.005, chi-square test for linear trend) and reached 7.2% (95% CI 3.5%-14.1%) after 40 years. The sensitivity of TVS ranged from 8% (95% CI 2%-20%) for uterine synechiae to 41% (95% CI 28%-56%) for submucous leiomyoma, resulting in low likelihood ratios for negative TVS results. CONCLUSIONS: These findings suggest a high prevalence of unsuspected alterations found by routine hysteroscopy before IVF, an age-dependent increase in the frequency of submucous leiomyoma and a low diagnostic sensitivity of TVS to detect intracavitary lesions.

Computer-assisted oocyte morphometry before ICSI: correlation of oocyte measurements with fertilization and embryo development.

The present study aimed to correlate morphometric parameters of the oocytes with the occurrence of fertilization following intracytoplasmic sperm injection (ICSI). In a prospective, controlled cohort design, women (n = 32) who were candidates for ICSI had oocytes (n = 258) collected and submitted to morphometric evaluation using the Cronus3 software program. The morphometric parameters obtained were oocyte diameter, perivitelline space width, zona pellucida thickness, and first polar body diameter. The median oocyte diameter was similar in cases in which fertilization occurred compared with those in which fertilization failed (75.2 and 75.9 µm, respectively; P = .218). The 2 groups also had similar measurements of perivitelline space, zona pellucida, and first polar body. However, the best quality zygotes identified by a morphological score resulted from oocytes with larger diameter (75.6 vs 74.0 µm; P < .01) and narrow perivitelline space (5.3 vs 7.1 µm; P < .01). Embryo development, as assessed by cleavage at second day of culture, was not significantly associated with oocyte morphometric parameters. These findings suggest that morphometric parameters of the oocytes do not correlate with the occurrence of fertilization following ICSI but may assist in selecting oocytes more likely to originate high-quality zygotes.

A randomized prospective trial comparing the levonorgestrel-releasing intrauterine system with thermal balloon ablation for the treatment of heavy menstrual bleeding.

BACKGROUND: Use of the levonorgestrel-releasing intrauterine system (LNG-IUS) was compared with thermal balloon ablation (TBA) for the treatment of heavy menstrual bleeding (HMB). STUDY DESIGN: A prospective randomized trial comparing the LNG-IUS (n=30 women) and TBA (n=28 women). RESULTS: Hemoglobin levels increased (p<.001) and blood loss was reduced (p<.001) in both groups after 1 year of treatment. Menstrual bleeding was less in the LNG-IUS group compared to the TBA group at 6 and 12 months of treatment (p=.035 and p=.048, respectively). Intermenstrual bleeding was significantly less in the TBA group at 6 months compared to the LNG-IUS group (p=.044); however, there was no significant difference at 12 months (p=.129). No difference was found in psychological aspects between pre- and posttreatment variables in either of the groups (p=.537). CONCLUSIONS: Both the LNG-IUS and TBA appear to be effective in controlling HMB; however, posttreatment uterine bleeding patterns are different.