Background: In pregnant women with gestational diabetes mellitus (GDM), insulin resistance (IR) increases the risk of developing manifest type 2 diabetes mellitus and is associated with complications in both mother and fetus. Objectives: This research aimed to evaluate the associations between IR evaluated by 3 indices (namely updated homeostasis model assessment model (HOMA2), QUICKI, and McAuley’s index) and the diabetes risk factors and the fetal growth indices in Vietnamese women with GDM. Methods: A cross-sectional descriptive study was conducted on 370 women with GDM and 40 healthy pregnant women from January 2015 to May 2019. IR was calculated by HOMA2 (HOMA2-IR), QUICKI, and McAuley’s index. Fetal anthropometric measurements were assessed via ultrasound which was performed and interpreted by ultrasound experts. Results: In the simple regression analysis, McAuley’s index illustrated had statistically significant correlations to the highest number of risk factors of diabetes mellitus compared with HOMA2-IR and QUICKI indices. Moreover, McAuley’s index correlated statistically significantly to the highest number of fetal ultrasound measurements factors such as including biparietal diameter (BPD) ( r = −0.271, P < .001), head circumference (HC) ( r = −0.225, P < .001), abdominal circumference (AC) ( r = −0.214, P < .001), femur length (FL) ( r = −0.231, P < .001), estimated fetal weight (EFW) ( r = −0.239, P < .001) and fetal estimated age ( r = −0.299, P < .001). In the multivariable analysis, the McAuley’s index contributed the greatest to AC (Standardized B of −0.656, P < .001). Conclusion: The McAuley’s index was significantly associated with a higher number of more risk factors for diabetes mellitus as well as fetal ultrasound sonography findings measurements than compared with HOMA2-IR and QUICKI indices.

Background and Objectives: The study aims to explore the potential for transplacental transmission of SARS-CoV-2, focusing on its pathophysiology, placental defense mechanisms, and the clinical implications for maternal and neonatal health. Materials and Methods: A comprehensive review of the current literature was conducted, analyzing studies on SARS-CoV-2 infection in pregnancy, the expression of key viral receptors (ACE2 and TMPRSS2) in placental cells, and the immune responses involved in placental defense. The review also examined the clinical outcomes related to maternal and neonatal health, including adverse pregnancy outcomes and neonatal infection. Results: The expression of ACE2 and TMPRSS2 in the placenta supports the biological plausibility of SARS-CoV-2 transplacental transmission. Histopathological findings from the infected placentas reveal inflammation, vascular changes, and the evidence of viral particles in placental tissues. Clinical reports indicate an increased risk of preterm birth, intrauterine growth restriction, and neonatal infection in pregnancies affected by COVID-19. However, the frequency and mechanisms of vertical transmission remain variable across studies, highlighting the need for standardized research protocols. Conclusions: SARS-CoV-2 can potentially infect placental cells, leading to adverse pregnancy outcomes and neonatal infection. While evidence of transplacental transmission has been documented, the risk and mechanisms are not fully understood. Ongoing research is essential to clarify these aspects and inform obstetric care practices to improve maternal and neonatal outcomes during the COVID-19 pandemic.

This study aims to explore the associations between menstrual health, lifestyle behaviors, biological traits, and coping strategies among female students at a Vietnamese medical university. A cross-sectional survey was conducted among 884 female students across five academic majors. Data on demographics, menstrual patterns, biological characteristics, lifestyle behaviors, and coping mechanisms were collected. Statistical analyses included descriptive statistics, correlation, and logistic regression to identify significant predictors of self-reported menstrual changes post university admission. Of the 884 participants, 49.8% reported menstrual changes after entering university. Among the lifestyle-related factors, increased daily electronic use (mean = 5.83 h) and later bedtimes (mean = 23:58) were associated with menstrual change (p < 0.01). Older age and higher academic year emerged as significant predictors of menstrual changes (p < 0.001). Additionally, students with blood groups A and B exhibited a higher risk compared to those with group O (p < 0.05), and Rh-positive status was also significantly associated with menstrual changes (p = 0.05). In terms of knowledge and coping practices, students who had premenstrual syndrome awareness since school were significantly less likely to report menstrual changes (p = 0.003). Although use of pain relief, particularly painkillers, correlated with higher reported pain severity, it was not directly linked to menstrual change. On the other hand, clinic consultations were positively associated with menstrual changes (p = 0.003), while students who relied on their mothers as counselors exhibited a protective association (p = 0.001). Menstrual health in university-aged women is influenced by a complex interplay of lifestyle behaviors, biological traits, and menstrual knowledge. Early education and structured coping support may serve as protective factors. The findings call for targeted menstrual health programs in university settings.

Objective: Breastfeeding is the most important and essential practice to help children develop comprehensively, physically, mentally, and intellectually. Therefore, this study aimed to explore the breastfeeding practices among ethnic minority mothers with children under two years old in two communities in Muong Nhe district, Dien Bien province of Northern Vietnam.Materials and methods: This cross-sectional study was conducted on 457 Mong ethnic mothers who had children under two years old in Nam Khe and Muong Toong communes in Muong Nhe district, Dien Bien province, Northern Vietnam from September 2018 to June 2019. Results: The proportion of children being breastfed was 90.6%, while the percentage of mothers who knew about the benefits of breastfeeding was less than 60.0%. Conclusion: While the proportion of children being breastfed was high, the percentage of mothers who knew about the benefits of breastfeeding was low. The proportion of mothers who practiced correctly was higher than the percentage of those with accurate knowledge of breastfeeding.

Background: In recent years, artificial intelligence (AI) has ushered in a promising era in medicine, particularly in medical education. However, studies assessing the knowledge, attitudes, and practices related to AI among medical students in Vietnam remain limited. Objective: This study aimed to evaluate AI knowledge, attitudes, and practices among Vietnamese medical students in learning and research, and to identify factors associated with their AI practices. Methods: A cross-sectional study was conducted among medical students at Thai Binh University of Medicine and Pharmacy from November to December 2025. Data were collected using an online structured questionnaire covering demographic characteristics and AI knowledge, attitudes, and practices. The main outcome of interest was AI practices in learning and research. Descriptive statistics and multivariable linear regression were used to examine associated factors. Regression coefficients (β), 95% CIs, and P values are reported. Results: A total of 1002 medical students (mean age 21.00, IQR 19.00-23.00 years; n=596, 59.5% female) were included. The median percentage of maximum possible (POMP) score of AI knowledge was 66.67 (IQR 33.33‐83.33), with a high level of familiarity with common tools (n=798, 79.6%). AI attitudes were generally positive (median POMP score 70.00, IQR 53.33‐76.67). AI-related practices were lower (median POMP score 50.00, IQR 46.88-71.88), with AI being used primarily for information retrieval and literature research support. In the multivariable analysis, knowledge POMP score (β=0.12, 95% CI 0.08-0.16) and attitudes POMP score (β=0.42, 95% CI 0.34-0.51) were significantly associated with AI practices POMP score ( P <.001). Age, gender, major, grade point average classification, and having participated in an AI seminar or training were not associated with AI practices. Conclusions: Medical students showed favorable knowledge and positive attitudes, but their AI practices remained limited. Integrating AI into medical curricula, including fundamentals, applications, and ethical aspects, is essential to prepare future physicians for AI-driven health care.

Placental chorioangioma represents the most frequent benign non-trophoblastic tumor of the placenta. Most lesions are small and clinically silent, but giant chorioangiomas (4–5 cm), while uncommon, can be associated with serious complications. This report describes the case of a 27-year-old woman (gravida 2, para 1) with an uneventful pregnancy until 33 weeks, when an ultrasound identified a placental mass measuring 60 × 70 mm. At 36 weeks, she presented with spontaneous rupture of membranes and labor pains. During labor, the fetus developed acute distress, and an emergency cesarean section was performed. A female infant weighing 2360 g was delivered with Apgar scores of 7 and 9 at 1 and 5 min. Intraoperatively, a well-circumscribed placental tumor measuring 10 × 10 cm was observed. Histopathological analysis confirmed chorioangioma. Both mother and newborn were discharged in good health on postoperative day 5. Although often silent during pregnancy, giant placental chorioangiomas may precipitate acute intrapartum complications. Vigilant antenatal monitoring and timely intervention are crucial to optimize perinatal outcomes.