Objectives: Migrating legacy on-premise electronic health record (EHR) systems in tertiary hospitals to modern cloud-native platforms presents technical and strategic challenges. We aimed to establish an optimized roadmap for transitioning legacy monolithic systems to a microservice architecture-based cloud-native EHR (MCEHR). Methods: We conducted a 3-month strategic assessment and case study based on the modernization requirements of a global healthcare provider. The methodology incorporated semi-structured interviews with key stakeholders, including clinical informatics officers and system architects, to identify critical pain points such as .NET 4.0 end-of-support risks and performance bottlenecks during peak clinical hours. Phased hybrid migration was adopted, analyzing over 20 TB of Oracle-based legacy data and evaluating the technical feasibility of transitioning to .NET 9 and RESTful APIs. To ensure clinical safety, a proof-of-concept (PoC) environment was developed to simulate high-concurrency clinical workloads, emphasizing system resilience and transaction integrity during intensive order-entry periods. Results: The transition to .NET 9 and MCEHR demonstrated 100% transaction integrity across 1,012 complex clinical test cases. Frontend and backend modernization showed high feasibility; however, migration of business logic embedded within legacy Oracle views represented a primary technical bottleneck, necessitating targeted decoupling. The PoC confirmed that RESTful API-based services maintained stable throughput under heavy concurrent loads, significantly reducing the risk of system-induced delays in clinical workflows. Conclusions Transitioning to an MCEHR architecture is complex but strategically essential. The proposed task force team roadmap outlines staged upgrades incorporating core technology modernization (.NET 9 and RESTful APIs), selective business component migration, and parallel DevOps adoption.

Objectives: This study aimed to evaluate the risk of major mental disorders (sleep disorder, depressive disorder, anxiety disorder, bipolar disorder, and schizophrenia) in patients with type 2 diabetes (T2D), and to compare it without T2D. Methods: A retrospective cohort study was conducted on patients with T2D (n=3,246, T2D group) and those without any type of diabetes (n=15,770, control group) who were registered in the database of Keimyung University Dongsan Hospital and standardized with the Observational Medical Outcomes Partnership Common Data Model. The incidence of major mental disorders was estimated using a multivariate Cox proportional hazards model, yielding a hazard ratio (HR) and 95% confidence interval (CI). Results: The incidence rates per 1,000 patient-years in the T2D vs. control group were 16.18 vs. 10.48 for sleep disorders, 8.75 vs. 5.80 for depressive disorders, and 6.04 vs. 4.72 for anxiety disorders. Compared to the control group, the T2D group had a higher risk of major mental disorders in the following order: sleep disorders (HR, 1.62; 95% CI, 1.36–1.91), depressive disorders (HR, 1.55; 95% CI, 1.24–1.93), and anxiety disorders (HR, 1.36; 95% CI, 1.05–1.76). There was no significant difference in the risk of bipolar disorder between the two groups (HR, 1.49; 95% CI, 0.75–2.78, p=0.23). The incidence of schizophrenia was too low in both groups to allow comparison. Conclusions T2D is an independent risk factor for major mental disorders. These findings highlight the importance of proactive mental health screening and interventions in the clinical management of diabetic patients.

Objectives: Dysregulation of inflammatory cytokines has been suggested as a key component in the pathophysiology of major depressive disorder (MDD). However, studies exploring inflammatory biomarkers to predict treatment response have yielded inconsistent results. This study aimed to identify cytokines that differentiate between treatment-resistant depression (TRD), treatment-responsive depression (non-TRD), and healthy controls (HC). Methods: Thirty participants (TRD=10, non-TRD=10, HC=10) were included. Plasma levels of 92 inflammation-related cytokines were analyzed using the OlinkⓇ Target 96 Inflammation panel. Depression severity was measured using the 17-item Hamilton Depression Rating Scale (HDRS-17). Group differences were tested by analysis of variance or non-parametric equivalents. Correlations between cytokines and HDRS scores were assessed by Pearson or Spearman coefficients. Results: Of the 92 analyzed cytokines, 27 showed significant differences (p<0.05). Several cytokines, including tumor necrosis factor related apoptosis inducing ligand (TRAIL), oncostatin M (OSM), differed significantly in both patient groups compared to HC. Notably, adenosine deaminase (ADA) was the only marker that distinguished the TRD group from both the non-TRD (p=0.046) and HC groups (p=0.002). Tumor necrosis factor superfamily member 14 (TNFSF14) levels were positively associated with baseline HDRS scores (ρ=0.494, p=0.027), while extracellular newly inducible receptor for advanced glycation end-products binding protein (EN-RAGE) levels were positively correlated with the change in HDRS scores (r=0.484, p=0.031); however, these correlations were reduced to trend-level after Bonferroni correction. Conclusions Our findings suggest that distinct inflammatory profiles exist among different subtypes of depression, although these preliminary results from a small sample require validation in larger, longitudinal cohorts. Specifically, ADA may serve as a potential biomarker for identifying TRD. Peripheral inflammatory biomarkers may help predict treatment response and guide personalized treatment in MDD.

Objectives: This study aims to investigate the prevalence and severity of postpartum depression symptoms in high-risk mothers following preterm birth upon discharge and to identify related factors and risk factors for these symptoms. Methods: The study retrospectively analyzed medical records of women with high-risk pregnancies who delivered premature infants (gestational age ≤35 weeks and weight <2,000 g) between January 2019 and January 2024. Postpartum depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) and the Patient Health Questionnaire-9 (PHQ-9). Results: The study included 96 mothers who gave birth to premature infants and completed both the EPDS and PHQ-9 at discharge. Mean EPDS score was 8.35±4.95, and the mean PHQ-9 score was 3.32±3.43. The prevalence of depressive symptoms and their association with various maternal and neonatal factors were analyzed. Maternal age showed a significant correlation with EPDS scores (r=0.291, p=0.004). Conclusions In this study, it was identified that high-risk pregnancies resulting in premature birth experience a considerable prevalence of depressive symptoms. Identifying related factors is crucial for early intervention and support for this vulnerable group.

Objectives: This study aims to investigate the prevalence and severity of postpartum depression symptoms in high-risk mothers following preterm birth upon discharge and to identify related factors and risk factors for these symptoms. Methods: The study retrospectively analyzed medical records of women with high-risk pregnancies who delivered premature infants (gestational age ≤35 weeks and weight <2,000 g) between January 2019 and January 2024. Postpartum depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) and the Patient Health Questionnaire-9 (PHQ-9). Results: The study included 96 mothers who gave birth to premature infants and completed both the EPDS and PHQ-9 at discharge. Mean EPDS score was 8.35±4.95, and the mean PHQ-9 score was 3.32±3.43. The prevalence of depressive symptoms and their association with various maternal and neonatal factors were analyzed. Maternal age showed a significant correlation with EPDS scores (r=0.291, p=0.004). Conclusions In this study, it was identified that high-risk pregnancies resulting in premature birth experience a considerable prevalence of depressive symptoms. Identifying related factors is crucial for early intervention and support for this vulnerable group.

Background/Aims: Functional dyspepsia (FD) has long been regarded as a syndrome because its pathophysiology is multifactorial. However, recent reports have provided evidence that changes in the duodenal ecosystem may be the key. This study aimed to identify several gastrointestinal factors and biomarkers associated with FD, specifically changes in the duodenal ecosystem that may be key to understanding its pathophysiology. Methods: In this case-control study, 28 participants (12 with FD and 16 healthy control individuals) were assessed for dietary nutrients, gastrointestinal symptom severity, immunological status of the duodenal mucosa, and microbiome composition from oral, duodenal, and fecal samples. Integrated data were analyzed using immunohistochemistry, real-time polymerase chain reaction, 16S rRNA sequencing, and network analysis. Results: Duodenal mucosal inflammation and impaired expression of tight junction proteins were confirmed in patients with FD. The relative abundance of duodenal Streptococcus (p=0.014) and reductions in stool Butyricicoccus (p=0.047) were confirmed. These changes in the gut microbiota were both correlated with symptom severity. Changes in dietary micronutrients, such as higher intake of valine, were associated with improved intestinal barrier function and microbiota. Conclusions This study emphasizes the relationships among dietary nutrition, oral and gut microbiota, symptoms of FD, impaired function of the duodenal barrier, and inflammation. Assessing low-grade inflammation or increased permeability in the duodenal mucosa, along with changes in the abundance of stool Butyricicoccus, is anticipated to serve as effective biomarkers for enhancing the objectivity of FD diagnosis and monitoring.

Objectives: This study aimed to investigate the effectiveness and safety of combining psychostimulants and nonstimulants for patients under treatment for attention deficit hyperactivity disorder (ADHD). Methods: The study included 96 patients aged 6–12 years who were diagnosed with ADHD, among whom 34 received combination pharmacotherapy, 32 received methylphenidate monotherapy, and 30 received atomoxetine monotherapy. Statistical analysis was conducted to compare treatment and adverse effects among groups and to analyze changes before and after combination pharmacotherapy.The difference between combination pharmacotherapy and monotherapy was investigated. Logistic regression analysis was used to identify the predictors of combination pharmacotherapy. Results: No significant differences were observed between the groups in terms of age or pretreatment scores. The most common adverse effect experienced by 32% of patients in the combination pharmacotherapy group was decreased appetite. Clinical global impression-severity score decreased significantly after combination pharmacotherapy. All three groups showed significant clinical global impression-severity score improvements over time, with no significant differences among them. The predictive factors for combination pharmacotherapy included the Child Behavior Checklist total score internalizing subscale. Conclusion Combination pharmacotherapy with methylphenidate and atomoxetine is a relatively effective and safe option for patients with ADHD who do not respond to monotherapy.

Background: To determine the association between type 2 diabetes mellitus and the consumption of various fruits. Methods: The Korean Genome And Epidemiology Study is an ongoing prospective longitudinal cohort study of community dwellers and participants (men and women, aged 40–69 years) recruited from the national health examinee registry of Korea. Their individual consumption habits for 12 different fruit types were recorded using food frequency questionnaires. The fruits were then divided into three groups according to their glycemic indexes and glycemic loads. Participants with extreme caloric intakes, pre-existing type 2 diabetes mellitus, chronic kidney diseases, chronic liver diseases, and ongoing cancer treatments were excluded. The incidence of type 2 diabetes in the cohort was identified through self-reporting and supplemented by glycated hemoglobin and fasting blood glucose levels. Results: A total of 2,549 cases of type 2 diabetes were documented during 283,033.8 person-years of follow-up. After adjusting for personal, lifestyle, and dietary risk factors for diabetes, the pooled hazard ratio of type 2 diabetes for every serving per week of total whole fruit consumption was 1.02 (95% confidence interval [CI], 0.99–1.06; P=0.2). With mutual adjustment of individual fruits, the pooled hazard ratios of type 2 diabetes for every serving per week were 0.94 (95% CI, 0.88–1.00; P=0.039) for bananas, and 0.90 (95% CI, 0.84–0.96; P<0.001) for grapes. Conclusion Our findings suggest associations between the consumption of certain fruits and the risk of developing type 2 diabetes. A greater consumption of grapes was significantly associated with a lower risk of type 2 diabetes in our cohort, but the total amount of fruit consumption was not associated with a reduced risk.

Objectives: This study aims to investigate the prevalence and severity of postpartum depression symptoms in high-risk mothers following preterm birth upon discharge and to identify related factors and risk factors for these symptoms. Methods: The study retrospectively analyzed medical records of women with high-risk pregnancies who delivered premature infants (gestational age ≤35 weeks and weight <2,000 g) between January 2019 and January 2024. Postpartum depressive symptoms were assessed using the Edinburgh Postnatal Depression Scale (EPDS) and the Patient Health Questionnaire-9 (PHQ-9). Results: The study included 96 mothers who gave birth to premature infants and completed both the EPDS and PHQ-9 at discharge. Mean EPDS score was 8.35±4.95, and the mean PHQ-9 score was 3.32±3.43. The prevalence of depressive symptoms and their association with various maternal and neonatal factors were analyzed. Maternal age showed a significant correlation with EPDS scores (r=0.291, p=0.004). Conclusions In this study, it was identified that high-risk pregnancies resulting in premature birth experience a considerable prevalence of depressive symptoms. Identifying related factors is crucial for early intervention and support for this vulnerable group.

Aging in mammals, including humans, is accompanied by loss of bone and muscular function and mass, characterized by osteoporosis and sarcopenia.Although resistance exercise training (RET) is considered an effective intervention, its effect is blunted in some elderly individuals. Fibroblast growth factor (FGF) and its receptor, FGFR, can modulate bone and muscle quality during aging and physical performance. To elucidate this possibility, the FGFR inhibitor NVP-BGJ398 was administrated to C57BL/6n mice for 8 weeks with or without RET. Treatment with NVPBGJ398 decreased grip strength, muscular endurance, running capacity and bone quality in the mice. FGFR inhibition elevated bone resorption and relevant gene expression, indicating altered bone formation and resorption. RET attenuated tibial bone resorption, accompanied by changes in the expression of relevant genes. However, RET did not overcome the detrimental effect of NVP-BGJ398 on muscular function. Taken together, these findings provide evidence that FGFR signaling may have a potential role in the maintenance of physical performance and quality of bone and muscles.