Depression and Its Determinants among Postpartum Mothers Attending at Universal College of Medical Sciences and Teaching Hospital, Bhairahawa, Rupandehi, Nepal.

Background: Postpartum depression is a serious mental health issue linked to maternal morbidity and negative effects for infant's normal growth, development, and well-being. This study is aimed at assessing the prevalence and factors associated with postpartum depression among mothers attending a tertiary hospital in Nepal. Methods: A hospital-based cross-sectional study was conducted among 173 postpartum mothers (<6 weeks postdelivery) who were receiving care either at the postnatal ward or immunization clinic of Universal College of Medical Sciences and Teaching Hospital in Bhairahawa, Rupandehi district, Nepal. The study was carried out from October 2020 to February 2021 by using purposive sampling technique for selecting respondents. The variables that showed significant association with the dependent variable having p value < 0.05 in bivariate analysis were entered into multivariate logistic regression model to find the final associated factors. Results: The prevalence of postpartum depression was 20.2% among mothers attending a tertiary hospital in Nepal. The mean age of the respondents was 24.77 ± 3.47. Factors such as mothers having female child (AOR = 6.39, CI = 1.54 - 26.46), unplanned pregnancy (AOR = 10.08, CI = 2.91 - 34.94), pregnancy-induced health problems (AOR = 9.68, CI: 3.51-26.64) were associated with an increased risk of postpartum depression. Similarly, mothers having formal education (AOR = 0.28, CI: 0.08-0.91), whose spouses have secondary and above education (AOR = 0.16, CI: 0.03-0.85), and who have ≥4 ANC visits (AOR = 0.15, CI = 0.05 - 0.40) were significantly associated but have a protective effect with postpartum depression. Conclusions: Sex of newborn, mother's and spouse's education, intention of pregnancy, ANC visits, and pregnancy-induced health problems were found to be significantly associated with postpartum depression. Hence, specific health education program regarding maternal and child health integrating mental health should be provided to pregnant women, mothers, and their husbands, focusing on gender discrimination. Similarly specific orientation program should be provided to local health worker about the importance of planned pregnancy, in order to reduce pregnancy related health problems during ANC visits and to mothers after their delivery to reduce further chances of postpartum depression.

Role of Artificial Intelligence in Unruptured Intracranial Aneurysm: An Overview.

Intracranial aneurysms (IAs) are a significant public health concern. In populations without comorbidity and a mean age of 50 years, their prevalence is up to 3.2%. An efficient method for identifying subjects at high risk of an IA is warranted to provide adequate radiological screening guidelines and effectively allocate medical resources. Artificial intelligence (AI) has received worldwide attention for its impressive performance in image-based tasks. It can serve as an adjunct to physicians in clinical settings, improving diagnostic accuracy while reducing physicians' workload. AI can perform tasks such as pattern recognition, object identification, and problem resolution with human-like intelligence. Based on the data collected for training, AI can assist in decisions in a semi-autonomous manner. Similarly, AI can identify a likely diagnosis and also, select a suitable treatment based on health records or imaging data without any explicit programming (instruction set). Aneurysm rupture prediction is the holy grail of prediction modeling. AI can significantly improve rupture prediction, saving lives and limbs in the process. Nowadays, deep learning (DL) has shown significant potential in accurately detecting lesions on medical imaging and has reached, or perhaps surpassed, an expert-level of diagnosis. This is the first step to accurately diagnose UIAs with increased computational radiomicis. This will not only allow diagnosis but also suggest a treatment course. In the future, we will see an increasing role of AI in both the diagnosis and management of IAs.

Leptin regulates OPG and RANKL expression in Gingival Fibroblasts and Tissues of Chronic Periodontitis Patients.

Objective: Chronic periodontitis is a bone-destructive disease affecting periodontal support structures. Although leptin has a protective effect against periodontitis, the underlying mechanism remains unclear. Therefore, this study aimed to investigate the possible role of leptin by examining its relationship with OPG and RANKL in human gingival tissues obtained from patients with chronic periodontitis. Method: Twenty-two patients with chronic periodontitis were enrolled (10 with moderate periodontitis and 12 with severe periodontitis) in the experimental group, and 12 healthy individuals were enrolled in the control group. Gingival tissue samples were collected, and the protein levels and localization of leptin, OPG, and RANKL were studied using immunohistochemistry (IHC). The staining intensities of leptin, OPG, and RANKL were correlated with the periodontal clinical index. Moreover, real-time quantitative PCR (RT-qPCR) was used to determine OPG and RANKL mRNA levels in gingival fibroblasts stimulated with gradient concentrations of leptin protein in vitro. Result: Leptin, OPG, and RANKL were located in the cytoplasm of gingival epithelial cells and the connective tissue. Leptin was widely and significantly expressed in the control group, whereas it was lightly stained in the severe group. RANKL was lightly stained in the control group, whereas it was widely and significantly expressed in the severe group. The control and the moderate groups had similar OPG levels, which were significantly higher than that in the severe group. Leptin was positively correlated with OPG(r = 0.905, p < 0.01) and negatively correlated with RANKL (r = -0.635, p < 0.01). In vitro low concentrations of leptin led to an increased OPG/RANKL mRNA ratio, whereas the opposite effect was observed at high concentrations. Conclusion: Leptin can regulate OPG and RANKL expression in gingival fibroblasts and may thus play a role in the development of chronic periodontitis by modulating the OPG/RANKL ratio.

Inhibiting Rho kinase 2 reduces memory dysfunction in adult rats exposed to sevoflurane at postnatal days 7-9.

The aim of the present study was to investigate the roles of Rho protein A (RhoA) and Rho kinases 2 (ROCK2) in the memory dysfunction of adult rats exposed to sevoflurane at postnatal days 7-9 (P7-9). One-week-old Sprague-Dawley rats were divided into four groups known as C, S1, S3 and F. Rats in the S1 (2 h at P7) and S3 groups (2 h/day at P7-9) were exposed to sevoflurane. The rats in the F group were treated with the ROCK2 inhibitor and subsequent sevoflurane exposure (2 h/day at P7-9). The rats in the C group received no sevoflurane. The protein levels of RhoA, ROCK2 and cleaved caspase-3 (Cl-Csp3) in the adult hippocampus were assessed by western blot analysis. Learning and memory of rats at postnatal 45-50 days (P45-50) were detected by the Morris water maze (MWM) test. During the training of MWM, the latency and distance of rats in the S3 group were significantly longer than that of the C group (P<0.05, respectively). In the probe test, the percentages of time and distance in the target quadrant for the S3 group were evidently less than that of the C group (P<0.05). There was no significant difference in the behaviors between the C and S1 groups (P>0.05, respectively). Corresponding to the behavioral changes, the levels of RhoA, ROCK2 and Cl-Csp3 in the hippocampus of the S3 group significantly increased, compared to that of the C and S1 groups (P<0.05). Additionally, the ROCK2 inhibitor clearly decreased ROCK2 and Cl-Csp3 expression and shortened the latency during the training (P<0.05, P46-49 respectively) and probe test (P<0.05) in the F group, compared to that of the S3 group. Compared to the C group, the expression of RhoA, ROCK2 and Cl-Csp3 in the hippocampus of the S1 group had no significant difference (P>0.05). Multiple inhalation of sevoflurane can induce neurotoxicity and memory dysfunction. RhoA and ROCK2 played important roles in the impairment of learning and memory of adults rats exposed to sevoflurane at the postnatal early stage.