Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Background/Aims: This study aimed to evaluate the performance of the Model for End-Stage Liver Disease (MELD) 3.0 for predicting mortality and liver-related complications compared with the Child-Pugh classification, albumin-bilirubin (ALBI) grade, the MELD, and the MELD sodium (MELDNa) score. Methods: We evaluated a multicenter retrospective cohort of incorporated patients with cirrhosis between 2013 and 2019. We conducted comparisons of the area under the receiver operating characteristic curve (AUROC) of the MELD3.0 and other models for predicting 3-month mortality. Additionally, we assessed the risk of cirrhosis-related complications according to the MELD3.0 score. Results: A total of 3,314 patients were included. The mean age was 55.9±11.3 years, and 70.2% of the patients were male. Within the initial 3 months, 220 patients (6.6%) died, and the MELD3.0had the best predictive performance among the tested models, with an AUROC of 0.851, outperforming the Child-Pugh classification, ALBI grade, MELD, and MELDNa. A high MELD3.0score was associated with an increased risk of mortality. Compared with that of the group with a MELD3.0 score <10 points, the adjusted hazard ratio of the group with a score of 10–20 pointswas 2.176, and that for the group with a score of ≥20 points was 4.892. Each 1-point increase inthe MELD3.0 score increased the risk of cirrhosis-related complications by 1.033-fold. The risk of hepatorenal syndrome showed the highest increase, with an adjusted hazard ratio of 1.149, followed by hepatic encephalopathy and ascites. Conclusions The MELD3.0 demonstrated robust prognostic performance in predicting mortality in patients with cirrhosis. Moreover, the MELD3.0 score was linked to cirrhosis-related complications, particularly those involving kidney function, such as hepatorenal syndrome and ascites.

Atopic dermatitis (AD) is the most prevalent inflammatory skin condition, with approximately 80% of cases originating in childhood and some emerging in adulthood. In South Korea, the estimated prevalence of AD ranges between 10% and 20% in children and 1% and 3% in adults. Severe/recalcitrant AD manifests as a chronic, relapsing skin disorder, persisting with uncontrolled symptoms even after topical steroid treatment. Corticosteroids and systemic immunosuppression, conventionally the standard care for difficult-to-treat diseases, cause numerous undesirable side effects. When AD persists despite topical steroid application, systemic therapies like cyclosporine or systemic steroids become the second treatment strategy. The desire for targeted treatments, along with an enhanced understanding of AD’s pathophysiology, has spurred novel therapeutic development. Recent advances introduce novel systemic options, such as biological agents and small-molecule therapy, tailored to treat severe or recalcitrant AD. Notably, dupilumab, a monoclonal antibody inhibiting interleukin 4 and 13, marked a transformative breakthrough upon gaining approval from the U.S. Food and Drug Administration (FDA) in 2017, leading to a paradigm shift in the systemic treatment of AD. Furthermore, both dupilumab and Janus kinase inhibitors, including baricitinib, abrocitinib, and tofacitinib, now approved by the Korean FDA, have established their applicability in clinical practice. These innovative therapeutic agents have demonstrated favorable clinical outcomes, effectively addressing moderate to severe AD with fewer side reactions than those associated with previous systemic immunosuppressants. This review summarizes the latest advancements and evidence regarding systemic treatments for AD, including newly approved drugs in Korea.

Background/Aims: Bile duct invasion (BDI) is rarely observed in patients with advanced hepatocellular carcinoma (HCC), leading to hyperbilirubinemia. However, the efficacy of pretreatment biliary drainage for HCC patients with BDI and obstructive jaundice is currently unclear. Thus, the aim of this study was to assess the effect of biliary drainage on the prognosis of these patients. Methods: We retrospectively enrolled a total of 200 HCC patients with BDI from multicenter cohorts. Patients without obstructive jaundice (n=99) and those who did not undergo HCC treatment (n=37) were excluded from further analysis. Finally, 64 patients with obstructive jaundice (43 subjected to drainage and 21 not subjected to drainage) were included. Propensity score matching was then conducted. Results: The biliary drainage group showed longer overall survival (median 10.13 months vs 4.43 months, p=0.004) and progression-free survival durations (median 7.00 months vs 1.97 months, p<0.001) than the non-drainage group. Multivariate analysis showed that biliary drainage was a significantly favorable prognostic factor for overall survival (hazard ratio, 0.42; p=0.006) and progression-free survival (hazard ratio, 0.30; p<0.001). Furthermore, in the evaluation of first response after HCC treatment, biliary drainage was beneficial (p=0.005). Remarkably, the durations of overall survival (p=0.032) and progression-free survival (p=0.004) were similar after propensity score matching. Conclusions Biliary drainage is an independent favorable prognostic factor for HCC patients with BDI and obstructive jaundice. Therefore, biliary drainage should be contemplated in the treatment of advanced HCC with BDI to improve survival outcomes.

Background: Predicting the risk of osteoporotic fractures is vital for prevention. Traditional methods such as the Fracture Risk Assessment Tool (FRAX) model use clinical factors. This study examined the predictive power of the FRAX score and machine-learning algorithms trained on FRAX parameters. Methods: We analyzed the data of 2,147 female participants from the Ansan cohort study. The FRAX parameters employed in this study included age, sex (female), height and weight, current smoking status, excessive alcohol consumption (>3 units/d of alcohol), and diagnosis of rheumatoid arthritis. Osteoporotic fracture was defined as one or more fractures of the hip, spine, or wrist during a 10-year observation period. Machine-learning algorithms, such as gradient boosting, random forest, decision tree, and logistic regression, were employed to predict osteoporotic fractures with a 70:30 training-to-test set ratio. We evaluated the area under the receiver operating characteristic curve (AUROC) scores to assess and compare the performance of these algorithms with the FRAX score. Results: Of the 2,147 participants, 3.5% experienced osteoporotic fractures. Those with fractures were older, shorter in height, and had a higher prevalence of rheumatoid arthritis, as well as higher FRAX scores. The AUROC for the FRAX was 0.617. The machine-learning algorithms showed AUROC values of 0.662, 0.652, 0.648, and 0.637 for gradient boosting, logistic regression, decision tree, and random forest, respectively. Conclusion This study highlighted the immense potential of machine-learning algorithms to improve osteoporotic fracture risk prediction in women when complete FRAX parameter information is unavailable.

Objectives: This study explored the experiences of medical students enrolled in an elective course titled "Healthcare Innovation and Women's Ventures II" at Ewha Womans University College of Medicine. The research questions were as follows: First, what motivated medical students to participate in the experiential entrepreneurship course? Second, what experiences did the students have during the course? Third, what changes did the students undergo as a result of the course? Methods: Focus group interviews were conducted with six medical students who participated in the experiential entrepreneurship course from February 13 to 23, 2024. Results: The analysis identified three domains, seven categories, and 17 subcategories. In terms of motivations for enrolling in the experiential entrepreneurship course, two categories were identified: "existing interest" and "new exploration." With respect to the experiences gained from the course, three categories emerged: "cognitive experiences," "emotional experiences," and "behavioral experiences." Finally, two categories were identified concerning the changes participants experienced through the course: "changes related to entrepreneurship" and "changes related to career paths." Conclusion Students were motivated to enroll in this course by both their existing interests and their desire to explore new areas. Following the course, they underwent cognitive, emotional, and behavioral changes. Their perceptions of entrepreneurship and career paths were significantly altered.This study is important because it explores the impact of entrepreneurship education in medical schools from the students' perspective.

Background: and Purpose Excess or insufficient sleep, irregular sleep-wake patterns, and an extreme early or late chronotypes adversely impact physical and mental health. Changes in sleep characteristics should therefore be tracked, and factors that contribute to poor sleep should be identified. We investigated the changes in sleep patterns among South Korean adults during 2009–2018. Methods: Using data of a representative sample of South Korean adults from the 2009 (n= 2,658, 48.5% males; age=44.5±15.0 years old [mean±standard deviation], age range=19–86 years) and 2018 (n=2,389, 49.1% males; age=47.9±16.3 years, age range=19–92 years) Korean Headache-Sleep Study, we explored changes in sleep timing, sleep duration, chronotype, and social jetlag (SJL). Logistic regression analysis was used to examine the association between average sleep duration and depression. Results: From 2009 to 2018, bedtimes were advanced by 10 and 25 min on workdays and free days, respectively. Meanwhile, wake-up times were advanced by 13 min and delayed by 12 min on workdays and free days, respectively. The average sleep duration significantly decreased from 7.45 h to 7.13 h. The prevalence of short sleep duration (<7 h) increased, whereas that of long sleep duration (≥8 h) decreased. A circadian preference toward eveningness and SJL increased. The prevalence of depression increased from 4.6% to 8.4%, and there were significant reverse J-shaped and U-shaped associations between average sleep duration and depression in 2009 and 2018, respectively. Conclusions Changes in sleep patterns and the association between sleep duration and depressive mood were determined from a representative sample of the South Korean adult population. Interventions to modify sleep behaviors might improve public health.

Purpose: Despite the high prevalence of visual impairment caused by diabetic retinopathy and nutritional problems among older adults with diabetes, evidence regarding factors related to nutritional risk in this population is limited. Therefore, this study aimed to identify the correlates of nutritional risk among older adults with diabetes, focusing on visual impairment. Methods: This study was a secondary data analysis of the 2020 National Survey of Older Koreans aged 65 years and above. The sample comprised 2,376 older adults with diabetes, and complex sample ANOVA and Rao–Scott chi-square tests were used to compare the groups according to visual impairment. Complex-sample logistic regression analyses were conducted to verify the association between visual impairment and nutritional risk. Results: Older adults with diabetes, who also have severe visual impairment, are more likely to have nutritional risk status than those without impairment after controlling for covariates (odds ratio [OR] = 2.44, 95% confidence interval [CI] 1.16~5.13). Among the covariates, depression (OR = 3.58, 95% CI 2.60~4.94), dependent activities of daily living status (OR = 2.79, 95% CI 1.60~4.86), and experience of hospitalization during the past year (OR = 2.51, 95% CI 1.57~4.03) were strongly associated with nutritional risk. Conclusion Severe visual impairment increases the nutritional risk among older adults with diabetes. Therefore, it is essential to prevent visual impairment due to exacerbation of diabetes through appropriate management. Additionally, tailored nutritional interventions for visually impaired older adults with diabetes that consider visual characteristics are required.