Background/Aims: The incidence of steatotic liver disease (SLD) is increasing across all age groups as the incidence of obesity increases worldwide. The existing noninvasive prediction models for SLD require laboratory tests or imaging and perform poorly in the early diagnosis of infrequently screened populations such as young adults and individuals with healthcare disparities. We developed a machine learning-based point-of-care prediction model for SLD that is readily available to the broader population with the aim of facilitating early detection and timely intervention and ultimately reducing the burden of SLD. Methods: We retrospectively analyzed the clinical data of 28,506 adults who had routine health check-ups in South Korea from January to December 2022. A total of 229,162 individuals were included in the external validation study. Data were analyzed and predictions were made using a logistic regression model with machine learning algorithms. Results: A total of 20,094 individuals were categorized into SLD and non-SLD groups on the basis of the presence of fatty liver disease. We developed three prediction models: SLD model 1, which included age and body mass index (BMI); SLD model 2, which included BMI and body fat per muscle mass; and SLD model 3, which included BMI and visceral fat per muscle mass. In the derivation cohort, the area under the receiver operating characteristic curve (AUROC) was 0.817 for model 1, 0.821 for model 2, and 0.820 for model 3. In the internal validation cohort, 86.9% of individuals were correctly classified by the SLD models. The external validation study revealed an AUROC above 0.84 for all the models. Conclusions As our three novel SLD prediction models are cost-effective, noninvasive, and accessible, they could serve as validated clinical tools for mass screening of SLD.

BACKGROUND/OBJECTIVES: Metabolic syndrome (MetS) is closely connected to dietary and lifestyle factors, with diet being one of the primary risk factors for MetS, acting as a key factor in both prevention and management. In this study, we analyzed the mediating effect of the Korean Healthy Eating Index (KHEI) on the relationship between lifestyle patterns and MetS in middle-aged Koreans using data from the 2019–2021 Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: This study examined data from 5,196 adults aged 40–64 yrs who participated in the eighth KNHANES. Data on 5 lifestyle factors—smoking, alcohol consumption, physical activity, sleep duration, and stress perception—were analyzed. The latent class analysis (LCA) was performed using Mplus 8.11, and SPSS PROCESS Macro v4.2 was used for statistical analysis to analyze the mediating effect of the KHEI. RESULTS: The model categorized lifestyle factors into three into 3 clusters: ‘Low Activity Class,’ ‘Low Activity and Smoking Class,’ and ‘Multiple Risk Class.’ The KHEI mediation analysis showed significant effects: 0.0205 (95% confidence interval [CI], 0.0062–0.0363) in the ‘Low Activity and Smoke Class,’ and 0.0420 (95% CI, 0.0133–0.0726) in the ‘Multiple Risk Class.’ The mediating effect of the KHEI domain “adequacy” was significant in these groups, with effects of 0.0357 (95% CI, 0.0184–00563) and 0.0662 (95% CI, 0.0364–0.6491), for the respective groups. Balance of energy intake was significant in the group with ‘Multiple Risk Class’ (0.0189; 95% CI, 0.0044–0.0378). CONCLUSION The results suggest that a healthy diet improves health management and reduces risk factors for MetS. Nonetheless, better strategies for dietary improvement through a detailed analysis of KHEI components are warranted.

BACKGROUND/OBJECTIVES: Metabolic syndrome (MetS) is closely connected to dietary and lifestyle factors, with diet being one of the primary risk factors for MetS, acting as a key factor in both prevention and management. In this study, we analyzed the mediating effect of the Korean Healthy Eating Index (KHEI) on the relationship between lifestyle patterns and MetS in middle-aged Koreans using data from the 2019–2021 Korea National Health and Nutrition Examination Survey (KNHANES). SUBJECTS/METHODS: This study examined data from 5,196 adults aged 40–64 yrs who participated in the eighth KNHANES. Data on 5 lifestyle factors—smoking, alcohol consumption, physical activity, sleep duration, and stress perception—were analyzed. The latent class analysis (LCA) was performed using Mplus 8.11, and SPSS PROCESS Macro v4.2 was used for statistical analysis to analyze the mediating effect of the KHEI. RESULTS: The model categorized lifestyle factors into three into 3 clusters: ‘Low Activity Class,’ ‘Low Activity and Smoking Class,’ and ‘Multiple Risk Class.’ The KHEI mediation analysis showed significant effects: 0.0205 (95% confidence interval [CI], 0.0062–0.0363) in the ‘Low Activity and Smoke Class,’ and 0.0420 (95% CI, 0.0133–0.0726) in the ‘Multiple Risk Class.’ The mediating effect of the KHEI domain “adequacy” was significant in these groups, with effects of 0.0357 (95% CI, 0.0184–00563) and 0.0662 (95% CI, 0.0364–0.6491), for the respective groups. Balance of energy intake was significant in the group with ‘Multiple Risk Class’ (0.0189; 95% CI, 0.0044–0.0378). CONCLUSION The results suggest that a healthy diet improves health management and reduces risk factors for MetS. Nonetheless, better strategies for dietary improvement through a detailed analysis of KHEI components are warranted.

Background: and Purpose Treatments for neuromyelitis optica spectrum disorder (NMOSD) such as eculizumab, ravulizumab, satralizumab, and inebilizumab have significantly advanced relapse prevention, but they remain expensive. Rituximab is an off-label yet popular alternative that offers a cost-effective solution, but its real-world efficacy needs better quantification for guiding the application of newer approved NMOSD treatments (ANTs). This study aimed to determine real-world rituximab failure rates to anticipate the demand for ANTs and aid in resource allocation. Methods: We conducted a nationwide retrospective study involving 605 aquaporin-4-antibody-positive NMOSD patients from 22 centers in South Korea that assessed the efficacy and safety of rituximab over a median follow-up of 47 months. Results: The 605 patients treated with rituximab included 525 (87%) who received continuous therapy throughout the follow-up period (median=47 months, interquartile range=15–87 months). During this period, 117 patients (19%) experienced at least 1 relapse. Notably, 68 of these patients (11% of the total cohort) experienced multiple relapses or at least 1 severe relapse.Additionally, 2% of the patients discontinued rituximab due to adverse events, which included severe infusion reactions, neutropenia, and infections. Conclusions This study has confirmed the efficacy of rituximab in treating NMOSD, as evidenced by an 87% continuation rate among patients over a 4-year follow-up period. Nevertheless, the occurrence of at least one relapse in 19% of the cohort, including 11% who experienced multiple or severe relapses, and a 2% discontinuation rate due to adverse events highlight the urgent need for alternative therapeutic options.

Background: and Purpose The pain lateralization in cluster headache (CH) may be related to the asymmetry in the functions of the brain hemispheres. The right-sided dominance of pain in CH has been found inconsistently across studies, and so we aimed to characterize this and identify the factors influencing pain lateralization during current and previous bouts. Methods: This study enrolled 227 patients from the Korean Cluster Headache Registry between October 2018 and December 2020. We evaluated the side of pain during current and previous bouts, demographic features, and clinical characteristics, including handedness. Multivariable logistic regression analyses were performed to identify factors associated with the side of pain. Results: The 227 patients with CH included 131 (57.7%) with right-sided pain and 86 (37.9%) with left-sided pain during the current bout (p<0.001). The 189 patients with previous bouts of CH included 86.8% who consistently reported the same side of pain throughout multiple bouts (side-locked pain), with a higher prevalence of pain on the right than the left side (55.0% vs. 31.7%, p<0.001). Multivariable analyses revealed that higher age at diagnosis (odds ratio [OR]=1.045, p=0.031) and shorter CH attacks (OR=0.992, p=0.017) were associated with left-side-locked pain. However, handedness was not associated with the lateralization of leftside-locked pain. Conclusions This study has confirmed the predominance of right-sided pain throughout multiple CH bouts. We found that higher age at diagnosis and shorter CH attacks were associated with left-side-locked pain, suggesting that certain clinical factors are associated with the pain laterality. However, the underlying mechanisms linking these factors to lateralized pain remain unclear and therefore require further investigation.

Purpose: The novel curability criteria for elderly (EL) patients have been proposed to stratify their risk of lymph node metastasis (LNM), following non-curative endoscopic submucosal dissection (ESD) for early gastric cancer (EGC). Hence, this study aimed to evaluate the effectiveness of the EL criteria and compare them with those of the well-known eCura system. Materials and Methods: A retrospective analysis was performed on 143 patients who did not meet the curative ESD criteria at a tertiary hospital in Korea between 2011 and 2022. Of these, 102 underwent additional surgery, while 41 were followed up without further treatment. The LNM rates based on the EL and eCura systems were stratified and compared. Results: In the surgery group, 29.4% (30/102) patients were classified as EL-low (EL-L) and 70.2% (72/102) as EL-high (EL-H). The LNM rates (95% confidence interval) were 0.0% (0.0–11.6) and 9.7% (4.0–19.0) for EL-L and EL-H, respectively (P=0.102). EL-L was closely aligned with the eCura low-risk category, with a similar patient proportion (32.4%) and an LNM rate of 0.0% (0.0–10.6). The eCura system classified 94.1% (48/51) of the EL-L patients as lowrisk, with an 86% concordance rate (123/143). Discordant cases included patients with positive vertical margins, but without other risk factors, who were classified as EL-H without LNM. Conclusions Patients with EL-L showed no LNM, and the EL criteria demonstrated high concordance with the eCura system. The EL criteria may be as effective as the eCura system in identifying low-risk patients after non-curative ESD for EGC.