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Aim: Childhood maltreatment (CM) may affect not only directly exposed individuals but also their offspring. However, the underlying biological mechanisms remain unclear. microRNAs (miRNAs) may play a regulatory role in this process. This study investigates the relationship between maternal exposure to CM and miRNA expression in maternal and perinatal tissues.Methods: We enrolled 43 pregnant women and assessed their CM exposure. We collected maternal blood, cord blood and placental tissue samples during childbirth and performed miRNA profiling using next generation sequencing.Results: Maternal CM was inversely associated with hsa-miR-582-3p levels in cord blood. Pathway analysis revealed that this miRNA regulates genes involved in intrauterine development.Conclusion: Our findings highlight the potential impact of maternal CM exposure on offspring epigenetic mechanisms.

Child maltreatment (CM) includes physical, sexual and emotional abuse, as well as physical and emotional neglect. CM not only harms those directly exposed but can also negatively impact their offspring. However, the biological reasons behind this are not well understood. To explore this further, our study investigates how CM affects the biology of pregnant women and their newborns through changes in small regulatory molecules called microRNAs (miRNAs). We recruited 43 pregnant women and assessed their exposure to CM. During childbirth, we collected blood samples from the mothers, blood from the umbilical cord and placental samples. We then analyzed the levels of miRNAs in these samples using advanced sequencing technology. We observed that more severe maternal exposure to CM was associated with lower levels of a miRNA named hsa-miR-582-3p in umbilical cord blood. This miRNA regulates genes involved in fetal development in utero and has been linked to spontaneous preterm birth. It may also influence immunologic and stress-related processes. Thus, newborns of mothers who had been exposed to CM may be more vulnerable to adverse effects on their brain development and overall health. Despite our small sample size, our study highlights the importance of addressing CM as an intergenerational concern and provides new insights into the biological mechanisms through which maternal CM can affect offspring.

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Objective: To evaluate the risk factors for postpartum hemorrhage (PPH) according to the Robson Classification in a low-risk maternity hospital. Methods: We conducted retrospective cohort study by analyzing the medical records of pregnant women attended in a low-risk maternity hospital, during from November 2019 to November 2021. Variables analyzed were: maternal age, type of delivery, birth weight, parity, Robson Classification, and causes of PPH. We compared the occurrence of PPH between pregnant women with spontaneous (Groups 1 and 3) and with induction of labor (2a and 4a). Chi-square and Student t-tests were performed. Variables were compared using binary logistic regression. Results: There were 11,935 deliveries during the study period. According to Robson's Classification, 48.2% were classified as 1 and 3 (Group I: 5,750/11,935) and 26.1% as 2a and 4a (Group II: 3,124/11,935). Group II had higher prevalence of PPH than Group I (3.5 vs. 2.7%, p=0.028). Labor induction increased the occurrence of PPH by 18.8% (RR: 1.188, 95% CI: 1.02-1.36, p=0.030). Model including forceps delivery [x2(3)=10.6, OR: 7.26, 95%CI: 3.32-15.84, R2 Nagelkerke: 0.011, p<0.001] and birth weight [x2(4)=59.0, OR: 1.001, 95%CI:1.001-1.001, R2 Nagelkerke: 0.033, p<0.001] was the best for predicting PPH in patients classified as Robson 1, 3, 2a, and 4a. Birth weight was poor predictor of PPH (area under ROC curve: 0.612, p<0.001, 95%CI: 0.572-0.653). Conclusion: Robson Classification 2a and 4a showed the highest rates of postpartum hemorrhage. The model including forceps delivery and birth weight was the best predictor for postpartum hemorrhage in Robson Classification 1, 3, 2a, and 4a.

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Abstract Objective To evaluate the risk factors for postpartum hemorrhage (PPH) according to the Robson Classification in a low-risk maternity hospital. Methods We conducted retrospective cohort study by analyzing the medical records of pregnant women attended in a low-risk maternity hospital, during from November 2019 to November 2021. Variables analyzed were: maternal age, type of delivery, birth weight, parity, Robson Classification, and causes of PPH. We compared the occurrence of PPH between pregnant women with spontaneous (Groups 1 and 3) and with induction of labor (2a and 4a). Chi-square and Student t-tests were performed. Variables were compared using binary logistic regression. Results There were 11,935 deliveries during the study period. According to Robson's Classification, 48.2% were classified as 1 and 3 (Group I: 5,750/11,935) and 26.1% as 2a and 4a (Group II: 3,124/11,935). Group II had higher prevalence of PPH than Group I (3.5 vs. 2.7%, p=0.028). Labor induction increased the occurrence of PPH by 18.8% (RR: 1.188, 95% CI: 1.02-1.36, p=0.030). Model including forceps delivery [x2(3)=10.6, OR: 7.26, 95%CI: 3.32-15.84, R2 Nagelkerke: 0.011, p<0.001] and birth weight [x2(4)=59.0, OR: 1.001, 95%CI:1.001-1.001, R2 Nagelkerke: 0.033, p<0.001] was the best for predicting PPH in patients classified as Robson 1, 3, 2a, and 4a. Birth weight was poor predictor of PPH (area under ROC curve: 0.612, p<0.001, 95%CI: 0.572-0.653). Conclusion Robson Classification 2a and 4a showed the highest rates of postpartum hemorrhage. The model including forceps delivery and birth weight was the best predictor for postpartum hemorrhage in Robson Classification 1, 3, 2a, and 4a.

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BACKGROUND: To compare the efficacy of CO2 fractional laser with that of topical estriol for treating genitourinary syndrome of menopause and to investigate the relationship between epithelial thickness and vaginal atrophy. METHODS: Twenty-five menopausal women were randomized to receive either laser or estrogen treatment. Vaginal biopsies before and after treatment were compared to assess the amount and distribution of estrogen and progesterone receptors. RESULTS: Estrogen receptor levels were statistically similar between groups before and after treatment. Although there was no change over time in the estrogen group, an increase in receptor levels was confirmed in the laser group. Changes in estrogen receptor levels showed no association with treatment. Progesterone receptor levels were statistically similar between groups throughout treatment. There was no change over time in both groups. These changes displayed no association with the type of treatment. There was no significant correlation between epithelium thickness and estrogen or progesterone receptor levels. CONCLUSIONS: Estrogen and progesterone receptor levels increased and were maintained, respectively, in the vaginal epithelium in both groups. There was no significant relationship between epithelium thickness and receptor density. Laser therapy had similar outcomes to the gold standard without involving the disadvantages of hormone therapy.