Manually driven versus motor driven hysteroscopic tissue removal system for polypectomy: Long-term results.

OBJECTIVE: The aim of this follow-up study is to compare a manually driven hysteroscopic tissue removal system (ResectrTM 9 Fr) with a motor driven system (TruclearTM) in terms of long-term clinical outcomes such as abnormal uterine bleeding and polyp recurrence. STUDY DESIGN: This is a follow-up of a multicenter randomized controlled trial comparing a manually and motor driven hysteroscopic tissue removal system for polypectomy. This prospective cohort study was performed at Ghent University Hospital (Ghent, Belgium) and Catharina Hospital Eindhoven (Eindhoven, the Netherlands). The trial was registered at Clinicaltrials.gov (Trial ID = NCT05337605, April 2022). Seventy-five women with abnormal uterine bleeding who participated in the randomized controlled trial and had pathological confirmation of the diagnosis of an endometrial polyp, were contacted. Fifty-five women (70.67 %) were willing to participate in this follow-up study. The primary outcome was the recurrence and/or persistence of abnormal uterine bleeding and the time to the recurrence of abnormal uterine bleeding. Secondary outcomes were polyp recurrence and time to polyp recurrence, symptom relief, satisfaction score regarding symptom relief and general satisfaction score regarding the surgical procedure. RESULTS: In the manually driven group, the mean time to the recurrence or persistence of abnormal uterine bleeding was 26 months (95 % CI 20 - 32). In the motor driven group, the mean time to the recurrence or persistence of abnormal uterine bleeding was 29 months (95 % CI 23- 34). A log-rank test showed a non-significant difference between both groups (P =.77). There was no significant difference in polyp recurrence (P =.22) or symptom relief between the two groups (P =.67). Additionally, the groups did not differ in satisfaction scores regarding symptoms or polypectomy (P =.16 and P =.61, respectively). CONCLUSION: This long-term follow-up study showed no statistically significant difference in the recurrence and persistence of abnormal uterine bleeding between a manually and motor driven hysteroscopic tissue removal system for polypectomy.

Prediction of implantation after blastocyst transfer in in vitro fertilization: a machine-learning perspective.

OBJECTIVE: To develop a random forest model (RFM) to predict implantation potential of a transferred embryo and compare it with a multivariate logistic regression model (MvLRM), based on data from a large cohort including in vitro fertilization (IVF) patients treated with the use of single-embryo transfer (SET) of blastocyst-stage embryos. DESIGN: Retrospective study of a 2-year single-center cohort of women undergoing IVF or intracytoplasmatic sperm injection (ICSI). SETTING: Academic hospital. PATIENT(S): Data from 1,052 women who underwent fresh SET in IVF or ICSI cycles were included. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): The performance of both RFM and MvLRM to predict pregnancy was quantified in terms of the area under the receiver operating characteristic (ROC) curve (AUC), classification accuracy, specificity, and sensitivity. RESULT(S): ROC analysis resulted in an AUC of 0.74 ± 0.03 for the proposed RFM and 0.66 ± 0.05 for the MvLRM for the prediction of ongoing pregnancies of ≥11 weeks. This RFM approach and the MvLRM yielded, respectively, sensitivities of 0.84 ± 0.07 and 0.66 ± 0.08 and specificities of 0.48 ± 0.07 and 0.58 ± 0.08. CONCLUSION(S): The performance to predict ongoing implantation will significantly improve with the use of an RFM approach compared with MvLRM.

Molecular Actions of PPARα in Lipid Metabolism and Inflammation.

Peroxisome proliferator-activated receptor α (PPARα) is a nuclear receptor of clinical interest as a drug target in various metabolic disorders. PPARα also exhibits marked anti-inflammatory capacities. The first-generation PPARα agonists, the fibrates, have however been hampered by drug-drug interaction issues, statin drop-in, and ill-designed cardiovascular intervention trials. Notwithstanding, understanding the molecular mechanisms by which PPARα works will enable control of its activities as a drug target for metabolic diseases with an underlying inflammatory component. Given its role in reshaping the immune system, the full potential of this nuclear receptor subtype as a versatile drug target with high plasticity becomes increasingly clear, and a novel generation of agonists may pave the way for novel fields of applications.