Background: Acute deterioration of patients in general wards often leads to major adverse events (MAEs), including unplanned intensive care unit transfers, cardiac arrest, or death. Traditional early warning scores (EWSs) have shown limited predictive accuracy, with frequent false positives. We conducted a prospective observational external validation study of an artificial intelligence (AI)-based EWS, the VitalCare - Major Adverse Event Score (VC-MAES), at a tertiary medical center in the Republic of Korea. Methods: Adult patients from general wards, including internal medicine (IM) and obstetrics and gynecology (OBGYN)—the latter were rarely investigated in prior AI-based EWS studies—were included. The VC-MAES predictions were compared with National Early Warning Score (NEWS) and Modified Early Warning Score (MEWS) predictions using the area under the receiver operating characteristic curve (AUROC), area under the precision-recall curve (AUPRC), and logistic regression for baseline EWS values. False-positives per true positive (FPpTP) were assessed based on the power threshold. Results: Of 6,039 encounters, 217 (3.6%) had MAEs (IM: 9.5%, OBGYN: 0.26%). Six hours prior to MAEs, the VC-MAES achieved an AUROC of 0.918 and an AUPRC of 0.352, including the OBGYN subgroup (AUROC, 0.964; AUPRC, 0.388), outperforming the NEWS (0.797 and 0.124) and MEWS (0.722 and 0.079). The FPpTP was reduced by up to 71%. Baseline VC-MAES was strongly associated with MAEs (P<0.001). Conclusions The VC-MAES significantly outperformed traditional EWSs in predicting adverse events in general ward patients. The robust performance and lower FPpTP suggest that broader adoption of the VC-MAES may improve clinical efficiency and resource allocation in general wards.

Objectives: To propose age group classification criteria for efficient tooth loss management by ana-lyzing the distribution of tooth loss in Korean adults by age group and causes of tooth loss. In addi-tion, to determine the efficacy of a Significant Tooth Loss index. Methods: The study included 13,199 adults who participated in the seventh Korea National Health and Nutrition Examination Survey (2016-2018). The mean number of missing teeth was compared by classifying the ages into 10- and 5-year intervals. Based on this analysis, the distribution of missing teeth was determined by classifying the age groups into 15-year intervals. Subsequently, the causes of tooth loss by age group at 15-year intervals and the efficacy of the Significant Tooth Loss Index were determined. Results: Classification at 5-year age intervals was more appropriate for analyzing changes in the distribution of missing teeth than classification at 10-year age intervals. However, establishing a public oral health program for the management of tooth loss on a 5-year or 10-year basis is im-practical. Therefore, a classification method with 15-year age intervals was proposed, in which the groups were young (19-34 years), middle-aged (35-49 years), older adult (50-64 years), and elderly (65 years or older). Although the criteria for the Significant Tooth Loss Index were appropri-ate for the young, older adults, and elderly groups, modifications were required for the middle-aged group. Conclusions Age-based oral health programs for adults should be promoted to prevent tooth loss by classifying adults into different age groups based on their clinical characteristics.

Objectives: To propose age group classification criteria for efficient tooth loss management by ana-lyzing the distribution of tooth loss in Korean adults by age group and causes of tooth loss. In addi-tion, to determine the efficacy of a Significant Tooth Loss index. Methods: The study included 13,199 adults who participated in the seventh Korea National Health and Nutrition Examination Survey (2016-2018). The mean number of missing teeth was compared by classifying the ages into 10- and 5-year intervals. Based on this analysis, the distribution of missing teeth was determined by classifying the age groups into 15-year intervals. Subsequently, the causes of tooth loss by age group at 15-year intervals and the efficacy of the Significant Tooth Loss Index were determined. Results: Classification at 5-year age intervals was more appropriate for analyzing changes in the distribution of missing teeth than classification at 10-year age intervals. However, establishing a public oral health program for the management of tooth loss on a 5-year or 10-year basis is im-practical. Therefore, a classification method with 15-year age intervals was proposed, in which the groups were young (19-34 years), middle-aged (35-49 years), older adult (50-64 years), and elderly (65 years or older). Although the criteria for the Significant Tooth Loss Index were appropri-ate for the young, older adults, and elderly groups, modifications were required for the middle-aged group. Conclusions Age-based oral health programs for adults should be promoted to prevent tooth loss by classifying adults into different age groups based on their clinical characteristics.

Objectives: To propose age group classification criteria for efficient tooth loss management by ana-lyzing the distribution of tooth loss in Korean adults by age group and causes of tooth loss. In addi-tion, to determine the efficacy of a Significant Tooth Loss index. Methods: The study included 13,199 adults who participated in the seventh Korea National Health and Nutrition Examination Survey (2016-2018). The mean number of missing teeth was compared by classifying the ages into 10- and 5-year intervals. Based on this analysis, the distribution of missing teeth was determined by classifying the age groups into 15-year intervals. Subsequently, the causes of tooth loss by age group at 15-year intervals and the efficacy of the Significant Tooth Loss Index were determined. Results: Classification at 5-year age intervals was more appropriate for analyzing changes in the distribution of missing teeth than classification at 10-year age intervals. However, establishing a public oral health program for the management of tooth loss on a 5-year or 10-year basis is im-practical. Therefore, a classification method with 15-year age intervals was proposed, in which the groups were young (19-34 years), middle-aged (35-49 years), older adult (50-64 years), and elderly (65 years or older). Although the criteria for the Significant Tooth Loss Index were appropri-ate for the young, older adults, and elderly groups, modifications were required for the middle-aged group. Conclusions Age-based oral health programs for adults should be promoted to prevent tooth loss by classifying adults into different age groups based on their clinical characteristics.

Objectives: To propose age group classification criteria for efficient tooth loss management by ana-lyzing the distribution of tooth loss in Korean adults by age group and causes of tooth loss. In addi-tion, to determine the efficacy of a Significant Tooth Loss index. Methods: The study included 13,199 adults who participated in the seventh Korea National Health and Nutrition Examination Survey (2016-2018). The mean number of missing teeth was compared by classifying the ages into 10- and 5-year intervals. Based on this analysis, the distribution of missing teeth was determined by classifying the age groups into 15-year intervals. Subsequently, the causes of tooth loss by age group at 15-year intervals and the efficacy of the Significant Tooth Loss Index were determined. Results: Classification at 5-year age intervals was more appropriate for analyzing changes in the distribution of missing teeth than classification at 10-year age intervals. However, establishing a public oral health program for the management of tooth loss on a 5-year or 10-year basis is im-practical. Therefore, a classification method with 15-year age intervals was proposed, in which the groups were young (19-34 years), middle-aged (35-49 years), older adult (50-64 years), and elderly (65 years or older). Although the criteria for the Significant Tooth Loss Index were appropri-ate for the young, older adults, and elderly groups, modifications were required for the middle-aged group. Conclusions Age-based oral health programs for adults should be promoted to prevent tooth loss by classifying adults into different age groups based on their clinical characteristics.

Hemorrhagic moyamoya disease (MMD) often manifests with pure intraventricular hemorrhage (IVH) or intracerebral hemorrhage (ICH) with IVH, causing increased intracranial pressure (ICP) and neurological decline. Although intraventricular injection of recombinant tissue plasminogen activator (rt-PA) has been proven safe, its safety in MMD is uncertain. We introduce a case of rescue intraventricular rt-PA injection for an ICP crisis caused by IVH in MMD. A patient with MMD presented with acute ICH with IVH. Bilateral external ventricular drains (EVD) were placed, but the both EVD lost patency immediately due to an intraventricular clot. The next day, due to increased ICP, we injected rt-PA into the right EVD catheter to facilitate intraventricular drainage and reduce clot burden. After injection, IVH volume and ICP decreased significantly without rebleeding, leading to gradual neurological improvement. Intraventricular rt-PA effectively reduced ICP and IVH burden without rebleeding in hemorrhagic MMD, warranting further safety studies.

Objective: Primary frozen shoulder causes significant pain and progressively restricts shoulder movements. Diagnosis is made clinically based on patient history and physical examination. Management is mainly non-invasive owing to its self-limiting clinical course. However, clinical practice guidelines for frozen shoulder have not yet been developed in Korea. The developed guidelines aim to provide evidence-based recommendations for the diagnosis and treatment of frozen shoulder. Methods: A guideline development committee reviewed the literature from four databases (PubMed, Embase, Cochrane Library, and KMbase). Using the Population, Intervention, Comparator, and Outcome (PICO) framework, the committee formulated two backgrounds and 16 key questions to address common clinical concerns. Recommendations were made using the Grading of Recommendations, Assessment, Development, and Evaluation framework. Results: Diabetes, thyroid disease, and dyslipidemia significantly increase the risk of developing a frozen shoulder. Although frozen shoulder is often self-limiting, some patients may experience long-term functional disabilities. Ultrasound and magnetic resonance imaging should be used as adjunctive tools alongside clinical diagnosis, and rather than as independent diagnostic methods. Noninvasive approaches, such as medications, physical modalities, exercises, electrical stimulation, and manual therapy, may reduce pain and improve shoulder function. Other noninvasive interventions have limited evidence, and their application should be based on clinical judgment. Intra-articular steroid injections are recommended for treatment, and physiotherapy or hydrodilation with steroid injections can also be beneficial. Conclusion These guidelines provide evidence-based recommendations for diagnosing and treating primary frozen shoulder.

Background: s/Aims: Reported incidence of extrahepatic bile duct cancer is higher in Asians than in Western populations. Korea, in particular, is one of the countries with the highest incidence rates of extrahepatic bile duct cancer in the world. Although research and innovative therapeutic modalities for extrahepatic bile duct cancer are emerging, clinical guidelines are currently unavailable in Korea. The Korean Society of Hepato-Biliary-Pancreatic Surgery in collaboration with related societies (Korean Pancreatic and Biliary Surgery Society, Korean Society of Abdominal Radiology, Korean Society of Medical Oncology, Korean Society of Radiation Oncology, Korean Society of Pathologists, and Korean Society of Nuclear Medicine) decided to establish clinical guideline for extrahepatic bile duct cancer in June 2021. Methods: Contents of the guidelines were developed through subgroup meetings for each key question and a preliminary draft was finalized through a Clinical Guidelines Committee workshop. Results: In November 2021, the finalized draft was presented for public scrutiny during a formal hearing. Conclusions The extrahepatic guideline committee believed that this guideline could be helpful in the treatment of patients.

Objectives: The purpose of this study was to identify factors related to severe tooth loss among sociodemographic, oral health behavior, and systemic disease factors. Methods: This study used raw data from the Korea National Health and Nutrition Examination Survey (2016-2018), which included 13,199 adults aged ≥19 years. The severe tooth loss was defined as a group with more than a third quartile (top 1/4) of the total number of tooth loss. Logistic regression analysis was used to evaluate the correlations. Results: Sociodemographic factors had a were more factors significantly correlated on severe tooth loss than oral health behavior-related and systemic disease-related factors. Among the assessed sociodemographic factors, age, resident area, household income, education level, and household type were correlated with severe tooth loss, with education level having the greatest impact. Among the oral health behavior-related factors, smoking had the greatest impact on severe tooth loss; tooth brushing frequency was also an important factor. Among the systemic disease-related factors, only diabetes incidence was associated with severe tooth loss. Conclusions Promoting smoking cessation, proper tooth brushing, and diabetes management could reduce severe tooth loss. Moreover, sociodemographic factors should be taken into account while planning oral health promotion projects.

Objectives: The purpose of this study was to assess the applicability of the Significant Tooth Loss index as a new statistical indicator and to analyze the socio-economic factors of the participants included in the Significant Tooth Loss. Methods: This study used raw data from the Korea National Health and Nutrition Examination Survey (2016-2018). The survey included 13,199 adults aged ≥19 years. The Significant Tooth Loss was defined as a group with more than a third quartile (top 1/4) of the total number of tooth loss. The Significant Tooth Loss index was defined as the mean tooth loss in the group. Chi-square test and logistic regression analysis were used to analyze the socio-economic factors of the Significant Tooth Loss, and absolute and relative differences were calculated to confirm oral health inequality. Results: Among overall tooth loss in adults, the proportion of tooth loss in the Significant Tooth Loss was 83.8%. The Significant Tooth Loss index was a useful indicator to determine oral health statistics. Socio-economic factors that were associated with significant tooth loss were age, gender, region, household income, and education. Oral health inequality was observed based on household income and education. Conclusions The Significant Tooth Loss index should be used to measure the level of oral health. Measures to reduce tooth loss should be investigated.