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Cortisol is proven to play a crucial role in hyperglycemia and fetal development in gestational diabetes mellitus (GDM). This research aims to investigate the relationship between maternal serum cortisol and insulin resistance indices and fetal ultrasound characteristics in women with GDM. A cross-sectional and descriptive study on 144 GDM in Vietnam from January 2015 to December 2020. Serum cortisol was measured using electrochemiluminescence immunoassay at 8 a.m. on the examination day in the vicinity of the 24th gestational week. Fetal ultrasound was performed by an experienced person who was blind to the study. The mean cortisol level in the GDM group was 627.04 nmol/L. Serum cortisol levels positively correlated with abdominal circumference (AC), fasting plasma glucose (FPG), insulin, triglycerides, HOMA2-IR, and Mathew indices (with of 0.18, 0.22, 0.18, 0.17, 0.18, and 0.22, respectively). Serum cortisol levels negatively correlated with QUICKI and McAuley indices (with of -0.19 and -0.21), respectively. In a univariate linear regression, maternal serum cortisol positively correlated with fetal AC, head circumference (HC), and biparietal diameter (BPD) (with of 0.21; 0.23; and 0.25, respectively). In a multivariate linear regression analysis, cortisol positively correlated with fetal AC, HC, and BPD after adjusting to maternal McAuley index. Serum cortisol levels in GDM correlated with fasting blood glucose, triglycerides, and insulin resistance. Besides, serum cortisol levels in GDM positively correlated with fetal development.

Chronic low-grade inflammation (LGI) plays a role in the pathogenesis of gestational diabetes mellitus (GDM). LGI, on the one hand, promotes insulin resistance and at the same time, affects fetal development. The study aimed to use clinically feasible means to evaluate the association between maternal LGI and maternal insulin resistance and fetal growth indices by ultrasound in the third trimester. A crossectional and descriptive study on 248 first-time diagnosed GDM in Vietnam. Neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte (PLR) indices were significantly higher in GDM than in normal glucose-tolerant pregnancies (p = 0.048 and 0.016, respectively). GDM with LGI witnessed significantly higher systolic blood pressure, BMI, HbA1c, and significantly lower quantitative Insulin Sensitivity Check Index (QUICKI) than those without LGI. After adjusting for maternal BMI, fasting plasma glucose (FPG), age, and parity, C-reactive protein (CRP) was positively correlated with HOMA2-IR (B=0.13, p<0.01) and Mathews index (B=0.29, p<0.01). Regarding fetal characteristics, LGI was associated with fetal growth indices in the third trimester of GDM. NLR was negatively correlated with estimated fetal weight (EFW) (B=-64.4, p<0.05) after adjusting for maternal BMI and FPG. After adjusting for maternal BMI, FPG, age, and parity, PLR was negatively correlated with biparietal diameter (B=-0.02, p<0.01) and abdominal circumference (AC) (B=-0.16, p<0.05), and EFW (B=-1.1, p<0.01), and head circumference (HC) (B=-0.06, p<0.01); CRP was negatively correlated with AC (B=-0.16, p<0.001), EFW (B=-85.3, p<0.001), and HC (B=-5.0, p<0.001). In the third trimester, LGI was associated with maternal glucose and insulin resistance in GDM. Moreover, LGI was associated with fetal characteristics in ultrasonic images. There were negative correlations between LGI and fetal developmental characteristics.

To assess the relationship between oocytes with smooth endoplasmic reticulum cluster (SERc) and embryological and birth outcomes in infertile couples. This was a descriptive study that included 231 infertile patients undergoing in vitro fertilization (IVF) with a total of 2447 mature oocytes (MII), of which 279 oocytes with SERc(+) from 100 patients, the remaining 2168 oocytes with SERc(-). Oocytes were evaluated for the presence or absence of the SERc simultaneously with intracytoplasmic sperm injection at 200x magnification using inverted microscopy - Observe D1. The mean age of patients was 32.05 ± 5.56 years. One hundred patients had at least one SERc(+) oocyte (with 279 SERc(+) and 956 SERc(-) oocytes). One hundred and thirty-one patients had 1212 SERc(-) oocytes. Fertilization outcomes and the rates of good-quality embryos on day 2 and day 5 did not differ between the SERc(+) and the SERc(-) groups. In the first frozen embryo transfer cycles, the clinical pregnancy rate in the group of patients with SERc(+) was not different with the SERc(-) group (61.1% vs 48.78%, p = 0.074, respectively). The live birth rate in the SERc(+) group was statistically significantly higher than the SERc(-) group (57.7% vs 43.9%, p = 0.045, respectively). The fertilization rate, the quality of embryos on days 2 and 5 from oocytes with SERc(+) are similar to those with SERc(-). The live birth rate in the patients with SERc(+) group is statistically significantly higher than the SERc(-) group. There is no difference in clinical pregnancy rate between patients with and without SERc. Therefore, the exclusion of oocytes with SERc should not be recommended.

To optimize the multiplex polymerase chain reaction (M-PCR) technique to diagnose microdeletions of azoospermia factors (AZF) on the Y chromosome and initially apply the technique to diagnose male patients with sperm density less than 5×10 million sperm/mL was assigned to do a test to check for AZF microdeletions on the Y chromosome. Based on the positive control samples which belong to male subjects who have had 2 healthy children without any assisted reproductive technologies, the M-PCR method was developed to detect simultaneously and accurately AZF microdeletions on 32 male patients with sperm densities below 5×10 million sperm/mL of semen at the Department of Biology and Medical Genetics - Vietnam Military Medical University. Successful optimization of the M-PCR technique including 7 reactions arranged according to each AZFabc region using 24 STS/gene on the Y chromosome. Initial application to diagnose AZF deletion on 32 azoospermic and oligospermic men reveals that AZFa deletion accounts for 6.25% (2/32); deletion of all 3 regions AZFa,b,c with 18.75% (6/32 cases); The combined deletion rate of AZFb,c is highest, accounting for 56.24% (18/32 patients). Successfully optimized the M-PCR technique in identifying AZF microdeletions using 24 sequence tagged sites (STS)/gene for azoospermic and oligozoospermic men. The M-PCR technique has great potential in the application of AZF deletion diagnosis.

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:Uterine fibroids (UFs) are common benign tumors in women. Although traditional obstetric teaching discourages myomectomy during cesarean section (CS) due to the risk of hemorrhage, emerging evidence suggests that the procedure may be considered in selected cases to avoid subsequent interval surgery.Methods:We conducted a retrospective descriptive observational study based on medical records of 124 pregnant women with UFs who underwent CS at Thai Binh Obstetrics and Gynecology Hospital between October 2023 and September 2024. Clinical characteristics, intraoperative management strategy, operative time, categorized blood loss, and postoperative hospital stay were extracted and analyzed. As this was a retrospective observational study, clinical trial registration was not applicable.Results:Myomectomy was the most frequently performed intraoperative management strategy, performed in 73 cases (58.9%). In unadjusted descriptive analyses, parity and fibroid location differed between the no-intervention and myomectomy groups (p = 0.001 and p = 0.032, respectively). Within the myomectomy subgroup, larger fibroids (>5 cm) and intramural location were associated with higher blood loss categories (p = 0.004 and p = 0.018, respectively). Operative time and postoperative hospital stay are reported descriptively by the management group. No patients in the myomectomy group required intraoperative conversion to hysterectomy; the 2 hysterectomy cases represented primary intraoperative management decisions rather than rescue procedures after attempted myomectomy.Conclusion:This retrospective descriptive observational report describes the distribution of intraoperative management strategies for UFs during CS in this cohort and the observed blood loss categories within the myomectomy subgroup. Due to substantial selection bias, group non-comparability, incomplete reporting of key perioperative outcomes, and the absence of adjusted analyses, the present data do not support reliable comparative conclusions regarding the safety or effectiveness of different management strategies.

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.

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. 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. 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. 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. 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.

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.

Background Cervical cancer is a significant public health problem in Southeast Asia, where it ranks seventh in incidence and sixth in mortality in 2020. However, there is a lack of epidemiological data on cervical cancer characteristics in this population. This study aims to investigate the prevalence of late-stage cervical cancer and associated factors. Methods A systematic search was conducted across databases such as PubMed, Scopus, Cochrane, Web of Science, and through manual searches on Google Scholar and Academic Search Ultimate via EBSCOhost. Furthermore, reference lists of relevant studies were examined. The search encompassed the inception of these databases from May to June 2023. Statistical analysis employed random or fixed effects models to summarize the prevalence of late-stage cervical cancer patients and assess heterogeneity. The odds ratio was used to determine the correlation between late-stage presentation and associated factors. Results The meta-analysis incorporated 17 studies involving a total of 10,502 participants, revealing a pooled prevalence of late-stage cervical cancer patients of 53.36% (95% CI 36.02–69.93) utilizing a random-effects model, which exhibited high heterogeneity. Geographically, the research predominantly focused on Thailand, Indonesia, and Malaysia. The prevalence of late-stage cervical cancer demonstrated a wide-ranging spectrum, spanning from 5.26 to 95.40%. Furthermore, the analysis stratified the late-stage prevalence based on different collecting periods, with rates of 67.67% before 2015, 37.23% between 2015 and 2020, and 57.11% after 2020. Notably, marital status emerged as a significant determinant of late-stage presentation (OR: 1.02, 95% CI 1.01–1.03, p  =  0.02 ). Finally, no evidence of publication bias was observed. Conclusion This meta-analysis underscores a substantial proportion of cervical cancer cases being diagnosed at an advanced stage in Southeast Asia. The findings provide valuable insights and impetus for the development of strategies that prioritize primary prevention and early diagnosis, aligning with the eradication goals outlined by the World Health Organization.