Background: Sepsis is a leading cause of intensive care unit (ICU) admission. However, few studies have evaluated how the ICU model affects the outcomes of patients with sepsis. Methods: This post hoc analysis of data from the Management of Severe Sepsis in Asia’s Intensive Care Units II study included 537 patients with sepsis admitted to 27 ICUs in Korea. The outcome measures of interest were compared between the closed ICU group, patients admitted under the full responsibility of an intensivist as the primary attending physician, and the open ICU group. The association between a closed ICU and ICU mortality was evaluated using a logistic regression analysis. Results: Altogether, 363 and 174 enrolled patients were treated in open and closed ICUs, respectively. Compliance with the sepsis bundles did not differ between the two groups; however, the closed ICU group had a higher rate of renal replacement therapy and shorter duration of ventilator support. The closed ICU group also had a lower ICU mortality rate than the open ICU group (24.7% vs. 33.1%). In a logistic regression analysis, management in the closed ICU was significantly associated with a decreased ICU mortality rate even after adjusting for potential confounding factors (adjusted odds ratio, 0.576; 95% CI, 0.342–0.970), and that association was observed for up to 90 days. Conclusions Sepsis management in closed ICUs was significantly associated with improved ICU survival and decreased length of ICU stay, even though the compliance rates for the sepsis bundles did not differ between open and closed ICUs.

Background: Urinalysis, an essential diagnostic tool, faces challenges in terms of standardization and accuracy. The use of artificial intelligence (AI) with mobile technology can potentially solve these challenges. Therefore, we investigated the effectiveness and accuracy of an AI-based program in automatically interpreting urine test strips using mobile phone cameras, an approach that may revolutionize point-of-care testing. Methods: We developed novel urine test strips and an AI algorithm for image capture.Sample images from the Chungnam National University Sejong Hospital were collected to train a k-nearest neighbor classification algorithm to read the strips. A mobile application was developed for image capturing and processing. We assessed the accuracy, sensitivity, specificity, and ROC area under the curve for 10 parameters. Results: In total, 2,612 urine test strip images were collected. The AI algorithm demonstrated 98.7% accuracy in detecting urinary nitrite and 97.3% accuracy in detecting urinary glucose. The sensitivity and specificity were high for most parameters. However, this system could not reliably determine the specific gravity. The optimal time for capturing the test strip results was 75 secs after dipping. Conclusions The AI-based program accurately interpreted urine test strips using smartphone cameras, offering an accessible and efficient method for urinalysis. This system can be used for immediate analysis and remote testing. Further research is warranted to refine test parameters such as specific gravity to enhance accuracy and reliability.

Purpose: This study aimed to assess the impact of aerobic exercise at different intensities over an eight-week period on the expression and activation of cortical synaptic proteins, with the potential to reduce anxiety and improve memory in young mice. Methods: Seven-week-old C57BL/6 mice were subjected to treadmill exercises at low (n = 10), moderate (n = 10), and high intensity (n = 10) for eight weeks. Behavioral assessments were conducted to evaluate anxiety and cognitive function. To explore the underlying mechanisms, we measured the phosphorylated levels of extracellular signal-regulated kinase (ERK), cyclic adenosine monophosphate response-binding protein (CREB), protein kinase (AKT), adenosine monophosphate activated protein kinase (AMPK), synapsin (S9, S549, S609), and PSD-95 in the cortex, as these are associated with synaptic strength. Additionally, the expression of doublecortin (DCX), a neurogenic factor, was analyzed in the hippocampus. Results: Exercise led to reductions in depressive and anxiety-related behaviors and elevated the levels of phosphorylated ERK, CREB, AKT, AMPK, synapsin (S9, S549, S609), and PSD-95 in the cortex of young mice. Furthermore, exercise increased DCX expression in the hippocampus. Moderate-intensity exercise yielded more pronounced effects than other intensities. Conclusion The findings of this research indicate that consistent moderate-intensity exercise increases synaptic strength and reduces depression and anxiety in young mice by activating multiple factors.

Objective: This study aimed to identify factors associated with the recovery of mandibular nerve disturbance and to predict the possibility of recovery tailored to individual patients. Materials and Methods: Patients who visited the dental hospital with symptoms of mandibular nerve disturbance from April 2015 to September 2020 were studied. Patients were divided into two groups based on treatment outcomes: recovered or non-recovered. Variables related to recovery included age, sex, onset event of the nerve disturbance, affected area, imaging findings, and treatment methods. The correlation between recovery and these variables was analyzed using the Chi-square test and Fisher’s exact test. Results: A total of 328 patients were included in the study.Among the variables associated with recovery, the onset event of the symptom (P-value=0.02) and imaging findings (P-value=0.04) were statistically significant. Among the significant variables, the highest proportion of patients (77.78%) recovered without symptoms of onset event, while implant surgery showed the lowest recovery rate (34.25%). Regarding imaging findings, the recovery rate was highest in cases of suspected canal damage (58.82%), while no patients recovered from compression of the canal (0.00%). Conclusion This study highlights the importance of large-scale data analysis and a thorough evaluation of clinical variables to understand mandibular nerve disturbances. The findings provide a basis for improving treatment strategies and reducing the impact of nerve disturbances on patients’ quality of life.

Background: Diarrheal disease accounts for a large proportion of childhood deaths in North Korea, however, information regarding its management in North Korean clinical settings is limited. The absence of a reliable diarrheal disease database hinders efforts to determine priorities for support. Methods: Articles published in three major North Korean medical journals between 2012 and 2019 were analyzed to determine the clinical aspects of diagnosing and treating diarrhea. A total of 43 articles were identified during the screening process. Original articles and case reports focusing on the clinical features of diarrheal disease in the pediatric population were included. Results: The clinical features and markers of several types of diarrheal diseases, including infectious diarrhea (20.9%) and diarrhea due to indigestion or malabsorption (18.6%), were assessed. Healthcare providers used multiple treatment modalities, including rehydration solutions, antibiotics, probiotics, and vitamin supplementation. Therapeutic trials on North Korean Oriental medicine were also conducted in more than half of the studies (55.8%). Conclusion This review provides insights into understanding the types of diarrhea and unmet needs in clinical settings in North Korea. Follow-up studies are required to interpret the situation in detail.

Objective: : Korea’s healthcare system and policy promotes early, actively stroke treatment to improve prognosis. This study represents stroke epidemiology and outcomes in Korea. Methods: : This study investigated data from the Acute Stroke Assessment Registry. The registry collects data from over 220 hospitals nationwide, focusing on quality stroke service management. Data analysis included patient demographics, stroke severity assessment, and discharge prognosis measurement using standardized scales. Results: : Eighty-six thousand five hundred sixty-eight acute stroke patients were collected with demographic and clinical characteristics during 18 months from 2016, 2018, and between 2020 to 2021, focusing on acute subarachnoid hemorrhage (SAH), acute intracerebral hemorrhage (ICH), and acute ischemic stroke. Of these 86568 patients, 8.3% was SAH, 16.3% ICH, and 74.9% ischemic stroke. Trends showed decreasing SAH and increasing ICH cases over the years. 68.3% stroke patients had the clear onset time. 49.6% stroke patients arrived within 4.5 hours of symptom onset, with more patients treated at general hospitals. Good functional outcomes at discharge was obtained with 58.3% of acute stroke patients, 55.9% of SAH patients, 34.6% of ICH patients, and 63.8% of ischemic stroke patients. Conclusion : The results showed that ischemic stroke was the most common subtype, followed by ICH and SAH. Prognosis differed among subtypes, with favorable outcomes more common in ischemic stroke and SAH compared to ICH.

Purpose: This study aimed to evaluate the association between triglyceride-glucose (TyG)–related parameters and the incidence of diabetes mellitus in Korean adults. Data were obtained from the Korean Genome and Epidemiology Study (KoGES). Methods: This secondary analysis examined data from 6,816 adults aged 40–69 years who participated in the KoGES from 2001 to 2020. TyG–related parameters, including the TyG index, TyG–body mass index (TyG–BMI), TyG–waist circumference (TyG–WC), and TyG–waist-to-height ratio (TyG–WHtR), were assessed. Cox proportional hazards models were employed to determine the association between these parameters and the incidence of diabetes mellitus, with adjustments made for demographic, lifestyle, and health-related characteristics. Results: Higher levels of all TyG–related parameters were significantly associated with an increased risk of developing diabetes mellitus. Specifically, participants in the highest quartile of the TyG index, TyG–BMI, TyG–WC, and TyG–WHtR exhibited significantly higher hazard ratios for diabetes mellitus incidence compared with those in the lowest quartile (p<.001 for all). Notably, the TyG index demonstrated a stronger predictive value for diabetes mellitus than traditional measures such as the homeostatic model assessment of insulin resistance. Conclusion TyG–related parameters are robust predictors of diabetes mellitus incidence in Korean adults. These findings support the incorporation of TyG–related measures into clinical settings for the early identification and intervention of high-risk populations. Utilizing these parameters for early diagnosis and preventive strategies may significantly enhance diabetes mellitus management.

Purpose: This study aimed to assess the impact of aerobic exercise at different intensities over an eight-week period on the expression and activation of cortical synaptic proteins, with the potential to reduce anxiety and improve memory in young mice. Methods: Seven-week-old C57BL/6 mice were subjected to treadmill exercises at low (n = 10), moderate (n = 10), and high intensity (n = 10) for eight weeks. Behavioral assessments were conducted to evaluate anxiety and cognitive function. To explore the underlying mechanisms, we measured the phosphorylated levels of extracellular signal-regulated kinase (ERK), cyclic adenosine monophosphate response-binding protein (CREB), protein kinase (AKT), adenosine monophosphate activated protein kinase (AMPK), synapsin (S9, S549, S609), and PSD-95 in the cortex, as these are associated with synaptic strength. Additionally, the expression of doublecortin (DCX), a neurogenic factor, was analyzed in the hippocampus. Results: Exercise led to reductions in depressive and anxiety-related behaviors and elevated the levels of phosphorylated ERK, CREB, AKT, AMPK, synapsin (S9, S549, S609), and PSD-95 in the cortex of young mice. Furthermore, exercise increased DCX expression in the hippocampus. Moderate-intensity exercise yielded more pronounced effects than other intensities. Conclusion The findings of this research indicate that consistent moderate-intensity exercise increases synaptic strength and reduces depression and anxiety in young mice by activating multiple factors.

Objective: This study aimed to identify factors associated with the recovery of mandibular nerve disturbance and to predict the possibility of recovery tailored to individual patients. Materials and Methods: Patients who visited the dental hospital with symptoms of mandibular nerve disturbance from April 2015 to September 2020 were studied. Patients were divided into two groups based on treatment outcomes: recovered or non-recovered. Variables related to recovery included age, sex, onset event of the nerve disturbance, affected area, imaging findings, and treatment methods. The correlation between recovery and these variables was analyzed using the Chi-square test and Fisher’s exact test. Results: A total of 328 patients were included in the study.Among the variables associated with recovery, the onset event of the symptom (P-value=0.02) and imaging findings (P-value=0.04) were statistically significant. Among the significant variables, the highest proportion of patients (77.78%) recovered without symptoms of onset event, while implant surgery showed the lowest recovery rate (34.25%). Regarding imaging findings, the recovery rate was highest in cases of suspected canal damage (58.82%), while no patients recovered from compression of the canal (0.00%). Conclusion This study highlights the importance of large-scale data analysis and a thorough evaluation of clinical variables to understand mandibular nerve disturbances. The findings provide a basis for improving treatment strategies and reducing the impact of nerve disturbances on patients’ quality of life.