Background: The discovery and evaluation of reliable biomarkers of vitiligo are important;however, no clinically established serological markers exist for predicting the clinical prognosis of vitiligo. Objective: To investigate the levels of SOX10 and lamin A/C antibodies in the serum of patients diagnosed with vitiligo. Methods: In this multicenter prospective study, blood serum samples were collected from adult vitiligo patients. The levels of SOX10 and lamin A/C antibodies were analyzed by direct sandwich enzyme-linked immunosorbent assay. Antibody levels between the groups were compared according to disease activity and subtype. Results: A total of 80 patients (46 females; median age 60 years) were enrolled, including 56 (70%) with nonsegmental vitiligo and 27 (33.7%) with active disease. Positivity for SOX10 and lamin A/C antibodies was observed in 35.0% and 71.3% of patients, respectively. SOX10 positivity was significantly higher in active vitiligo than in stable vitiligo (59.3% vs. 24.5%; p=0.003), whereas lamin A/C positivity did not show significant difference (77.8% vs. 69.8%; p=0.60).No significant associations were found between SOX10 or lamin A/C status and the subtype, extent, or the presence of antinuclear antibody, anti-thyroid peroxidase, or anti-thyroglobulin (all p>0.05). Conclusion SOX10 antibody could be a potential marker for assessing disease activity in vitiligo. The increased production of SOX10 antibodies in the serum may be due to the underlying death or turnover of SOX10 containing cells under active autoimmune response.

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 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 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: The COVID-19 pandemic has disrupted healthcare systems worldwide, with overwhelmed facilities leading to high morbidity and mortality rates. Deep learning models that predict patient severity can aid in optimizing resource allocation and patient monitoring.However, conventional models rely on excessive clinical features, reduce generalizability, and fail to provide real-time severity tracking. This study proposes a sequence-to-sequence (Seq2Seq) deep-learning model for predicting COVID-19 severity using minimal clinical features. Methods: Data from 4,462 patients from two tertiary care hospitals in Daegu, Korea (2020– 2022) were used to train the model, with 442 external validation cases collected from the National Institute of Health in Korea. Seq2SeqAttn inputs the observation of 17 clinical features of at most five days and outputs the predicted severity level of up to three days. Results: The model achieved a 98% recall and 97.6% receiver operating characteristic curve for validation. Seq2SeqAttn correctly identified severe cases, with lactate dehydrogenase (LDH) and neutrophil-lymphocyte ratios significantly differing between the severity groups.Integrated gradients revealed that peripheral oxygen saturation and LDH levels were critical predictors. The model outperformed conventional severity assessment tools, such as the WHO Clinical Progression Scale and National Early Warning Score. Conclusion This study presented a real-time COVID-19 severity prediction model using minimal clinical features. The high accuracy and interpretability of the model demonstrates its potential to improve resource allocation and patient care during pandemics. Future studies should investigate its applicability to other respiratory and infectious diseases.

Endoscopic retrograde cholangiopancreatography (ERCP) is a procedure that requires abundant clinical experience and endoscopic skills, and can lead to various complications, some of which may progress to life-threatening conditions. With expanding indications and technological advancements, ERCP is widely utilized, enhancing procedural accessibility. However, without proper quality management, the procedure can pose significant risks. Quality management in ERCP is essential to ensure safe and successful procedures and meet societal demands for improved healthcare competitiveness. To address these concerns, the Korean Pancreatobiliary Association has developed a Korean-specific ERCP quality indicator reflecting domestic medical environments and realities. Initially, based on a review of foreign ERCP quality indicators and related literatures, key questions were formulated for five preprocedural items, three intra-procedural items, and four post-procedural items. Descriptions and recommendations for each item were selected through peer evaluation. The developed Korean-specific ERCP quality indicator was reviewed by external experts based on the latest evidence and consensus in this fields. This Korean-specific indicator is expected to significantly contribute to improving ERCP quality in Korea, as it is tailored to local needs.

Background/Aims: In Korea, changes in the prevalence of irritable bowel syndrome (IBS) after the Rome IV update have not been extensively studied.The aim of this study is to compare the prevalence and psychosocial risk factors of IBS according to Rome III and Rome IV criteria in medical and nursing students. Methods: From August 13, 2021 to October 22, 2021, participants were enrolled and surveyed online. The survey includes general and specific questions for disease diagnosis and regarding participants’ social and psychological characteristics using the 36-item short form survey, the Brief Encounter Psychosocial Instrument-Korean version, and the Hospital Anxiety and Depression Scale. Results: In total, 338 medical students and 102 nursing students completed the survey. IBS was diagnosed in 78 students (17.7%) using Rome III criteria and in 51 students (11.6%) using Rome IV criteria. Significant differences in physical functioning score and severity score were observed between patients diagnosed using Rome IV criteria and patients diagnosed using Rome III criteria. Multiple logistic regression revealed that severity score (adjusted odds ratio = 1.01; 95% confidence interval: 1.00-1.21; P = 0.022) is the only predictor of IBS that differentiates Rome IV criteria from Rome III criteria. Conclusions Even after updating the Rome IV diagnostic criteria, the prevalence of IBS in medical and nursing students in Korea remained high.Patients who met the Rome IV criteria had more severe symptoms and lower quality of life than patients who met the Rome III criteria.

Background: The COVID-19 pandemic has disrupted healthcare systems worldwide, with overwhelmed facilities leading to high morbidity and mortality rates. Deep learning models that predict patient severity can aid in optimizing resource allocation and patient monitoring.However, conventional models rely on excessive clinical features, reduce generalizability, and fail to provide real-time severity tracking. This study proposes a sequence-to-sequence (Seq2Seq) deep-learning model for predicting COVID-19 severity using minimal clinical features. Methods: Data from 4,462 patients from two tertiary care hospitals in Daegu, Korea (2020– 2022) were used to train the model, with 442 external validation cases collected from the National Institute of Health in Korea. Seq2SeqAttn inputs the observation of 17 clinical features of at most five days and outputs the predicted severity level of up to three days. Results: The model achieved a 98% recall and 97.6% receiver operating characteristic curve for validation. Seq2SeqAttn correctly identified severe cases, with lactate dehydrogenase (LDH) and neutrophil-lymphocyte ratios significantly differing between the severity groups.Integrated gradients revealed that peripheral oxygen saturation and LDH levels were critical predictors. The model outperformed conventional severity assessment tools, such as the WHO Clinical Progression Scale and National Early Warning Score. Conclusion This study presented a real-time COVID-19 severity prediction model using minimal clinical features. The high accuracy and interpretability of the model demonstrates its potential to improve resource allocation and patient care during pandemics. Future studies should investigate its applicability to other respiratory and infectious diseases.

Background/Aims: In Korea, changes in the prevalence of irritable bowel syndrome (IBS) after the Rome IV update have not been extensively studied.The aim of this study is to compare the prevalence and psychosocial risk factors of IBS according to Rome III and Rome IV criteria in medical and nursing students. Methods: From August 13, 2021 to October 22, 2021, participants were enrolled and surveyed online. The survey includes general and specific questions for disease diagnosis and regarding participants’ social and psychological characteristics using the 36-item short form survey, the Brief Encounter Psychosocial Instrument-Korean version, and the Hospital Anxiety and Depression Scale. Results: In total, 338 medical students and 102 nursing students completed the survey. IBS was diagnosed in 78 students (17.7%) using Rome III criteria and in 51 students (11.6%) using Rome IV criteria. Significant differences in physical functioning score and severity score were observed between patients diagnosed using Rome IV criteria and patients diagnosed using Rome III criteria. Multiple logistic regression revealed that severity score (adjusted odds ratio = 1.01; 95% confidence interval: 1.00-1.21; P = 0.022) is the only predictor of IBS that differentiates Rome IV criteria from Rome III criteria. Conclusions Even after updating the Rome IV diagnostic criteria, the prevalence of IBS in medical and nursing students in Korea remained high.Patients who met the Rome IV criteria had more severe symptoms and lower quality of life than patients who met the Rome III criteria.

Purpose: This study aims to systematically analyze the radioactive waste generated from treatments using radioactive Iodine-131 (I-131), Lutetium-177 (Lu-177), and Actinium-225 (Ac-225) to facilitate safe waste management practices. Methods: I-131 is primarily used in thyroid cancer treatment, while Lu-177 and Ac-225 are used to treat prostate cancer. Radioactive waste generated after these treatments was collected from patients at the Korea Cancer Center Hospital and categorized into clothing, slippers, syringes, and other items. The radioactivity concentration of each item was measured using a calibrated highpurity germanium detector. Using measurements, the self-disposal date of each waste item was calculated according to the permissible disposal levels defined by the Nuclear Safety and Security Commission (NSSC) under domestic nuclear safety regulations. Results: For the I-131 radioactive waste, clothing, towels, and tableware exhibited high radioactivity concentrations, with most items exceeding the permissible self-disposal levels.Conversely, the type and quantity of waste generated from Lu-177 and Ac-225 that were intravenously injected were relatively minimal, with certain items below the self-disposal thresholds, enabling immediate disposal. For Ac-225, no permissible self-disposal concentration is specified by the NSSC, unlike other therapeutic nuclides. Hence, additional studies are required to establish clear guidelines. Conclusions These findings provide valuable data for optimizing radioactive waste management, potentially reducing disposal time and costs, minimizing radiation exposure, and enhancing hospital safety practices.