This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.

This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.

This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.

This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.

This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.

Immunoglobulin A nephropathy (IgAN) is a major cause of end-stage kidney disease (ESKD). The International IgA Nephropathy Prediction Tool (IIgAN-PT) predicts IgAN prognosis, but improvement in the prediction performance using machine learning (ML)-based methods is needed. Methods: We analyzed 4,425 biopsy-confirmed patients with IgAN and ≥6 months of follow-up from nine tertiary university hospitals in Korea. The study population was divided into development and validation cohorts. Using the collected 87 clinicodemographic and pathological variables, ML-based prediction models for ESKD or estimated glomerular filtration rate decline (50% reduction or <15 mL/min/1.73 m2 ) were constructed: 1) the conventional CatBoost model, 2) the optimized CatBoost model with Cox proportional hazards, 3) the deep Cox proportional hazards model, and 4) the deep Cox mixture model. The area under the curve (AUC) and calibration plots were used to investigate the discriminative and calibration performance of the models, which were then compared with those of the IIgAN-PT full model. Results: The full model showed excellent performance (AUC [95% confidence interval] for 5-year outcome, 0.896 [0.853–0.940]), with acceptable calibration results. The ML-based models showed good performance in predicting adverse kidney outcomes and revealed acceptable discrimination performance in the external validation (AUC [95% confidence interval] for the 5-year outcome: 1) 0.829 [0.791–0.866]; 2) 0.847 [0.804–0.890]; 3) 0.823 [0.784–0.862]; and 4) 0.832 [0.794–0.870]), although the models showed underestimation in calibration analysis of the external validation cohort. With the validation data, the overall performance of the IIgAN-PT was non-inferior to that of the ML-based model. Conclusions: Our ML-based models showed good performance in predicting adverse kidney outcomes in patients with IgAN but they did not outperform the IIgAN-PT.

Background and Objectives: This study analyzed skin prick tests conducted on respiratory allergy patients in the Busan area for a 40-year period and estimated future changes in inhaled allergens.Subjects and Method This study conducted a retrospective analysis of patients who underwent skin prick tests for respiratory allergies at two hospitals. We analyzed 5942 test results out of the total tests of 6174 recorded from 1982 to 2021. Results: For over 40 years, the main inhalant allergens in the Busan area, including house dust mites (HDM), pollen, have been found to be similar to those in other regions. The sensitization rate of HDM was very high, around 50%-60%, in the early 1990s and the early 2010s, and it showed a gradual increase over time. The sensitization rate of pollen were high at 10- year cycles. The sensitization rate of tree pollens showed a decreasing trend after reaching its peak in the late 1980s, but has been steadily increasing since the 2010s, with a sharp rise (over 25%) observed in 2019-2020. The sensitivity to weed and grass pollens was relatively high in the late 1990s and late 2000s, and exhibited a declining trend since. Among the animal allergens, the sensitization rate of cat allergen was the highest (45%). Conclusion We identified high rates of sensitization to house dust mites and tree pollens, and age-related changes over time. With the increasing prevalence of pet ownership, further research is necessary to monitor sensitization changes. Additionally, due to climate change, continuous monitoring of allergen sensitization rates to pollens and molds is called for.

BACKGROUND: Temporomandibular joint osteoarthritis (TMJOA) is a degenerative disease affecting the cartilage and subchondral bone, leading to temporomandibular joint pain and dysfunction. The complex nature of TMJOA warrants effective alternative treatments, and mesenchymal stem cells (MSCs) have shown promise in regenerative therapies. The aim of this study is twofold: firstly, to ascertain the optimal interferon-gamma (IFN-γ)-primed MSC cell line for TMJOA treatment, and secondly, to comprehensively evaluate the therapeutic efficacy of IFN-γ-primed mesenchymal stem cells derived from the human umbilical cord matrix in a rat model of TMJOA. METHODS: We analyzed changes in the expression of several key genes associated with OA protection in MSC-secreted compounds. Following this, we performed co-culture experiments using a transwell system to predict gene expression changes in primed MSCs in the TMJOA environment. Subsequently, we investigated the efficacy of the selected IFN-γ-primed human umbilical cord matrix-derived MSCs (hUCM-MSCs) for TMJOA treatment in a rat model. RESULTS: IFN-γ-primed MSCs exhibited enhanced expression of IDO, TSG-6, and FGF-2. Moreover, co-culturing with rat OA chondrocytes induced a decrease in pro-inflammatory and extracellular matrix degradation factors. In the rat TMJOA model, IFN-γ-primed MSCs with elevated IDO1, TSG-6, and FGF2 expression exhibited robust anti-inflammatory and therapeutic capacities, promoting the improvement of the inflammatory environment and cartilage regeneration. CONCLUSION These findings underscore the importance of prioritizing the mitigation of the inflammatory milieu in TMJOA treatment and highlight IFN-γ-primed MSCs secreting these three factors as a promising, comprehensive therapeutic strategy.

Objectives: ：This study aims to confirm the effectiveness of a school-based very-short-term dialectical be-havior therapy-skills training (DBT-ST) program for preventing self-harm among children and adolescents, considering factors such as age, sex, self-harm history, and methods of program implementation. Methods: ：The study was conducted from September 2021 to December 2023, targeting 1,012 elementary and middle school students in the Chungcheong region. Changes in responses to the Depressed Mood Questionnaire(RDQ), the Difficulties in Emotion Regulation Scale-16 (DERS-16), ‘future self-harm possibility’ scores wereanalyzed and compared before and after the program, based on age, sex, self-harm history, and methods of program implementation. Results: ：Overall, participants showed a decrease in the ‘rumination(RDQ) scale’ (t=10.49, p<0.001), ‘reversescored distraction (RDQ)’ (t=10.67, p<0.001) and the total DERS-16 (t=5.56, p<0.001) as well as a decrease in ‘future self-harm possibility’ score (t=4.26, p<0.001). Both elementary and middle school students showed decrease in ’rumination (RDQ)’ and distraction (RDQ), but only middle school students showed a decrease in theDERS-16 and most sub-scales. Regardless of sex, self-harm history, or methods of program implementation, adecrease in ’rumination (RDQ)’, distraction (RDQ) and the total DERS-16 scale and most sub-scales decreased. Conclusions ：Our program appears to be effective as a primary prevention program for preventing self-harm among children and adolescents in a school setting.

Objectives: ：This study aims to confirm the effectiveness of a school-based very-short-term dialectical be-havior therapy-skills training (DBT-ST) program for preventing self-harm among children and adolescents, considering factors such as age, sex, self-harm history, and methods of program implementation. Methods: ：The study was conducted from September 2021 to December 2023, targeting 1,012 elementary and middle school students in the Chungcheong region. Changes in responses to the Depressed Mood Questionnaire(RDQ), the Difficulties in Emotion Regulation Scale-16 (DERS-16), ‘future self-harm possibility’ scores wereanalyzed and compared before and after the program, based on age, sex, self-harm history, and methods of program implementation. Results: ：Overall, participants showed a decrease in the ‘rumination(RDQ) scale’ (t=10.49, p<0.001), ‘reversescored distraction (RDQ)’ (t=10.67, p<0.001) and the total DERS-16 (t=5.56, p<0.001) as well as a decrease in ‘future self-harm possibility’ score (t=4.26, p<0.001). Both elementary and middle school students showed decrease in ’rumination (RDQ)’ and distraction (RDQ), but only middle school students showed a decrease in theDERS-16 and most sub-scales. Regardless of sex, self-harm history, or methods of program implementation, adecrease in ’rumination (RDQ)’, distraction (RDQ) and the total DERS-16 scale and most sub-scales decreased. Conclusions ：Our program appears to be effective as a primary prevention program for preventing self-harm among children and adolescents in a school setting.