Purpose: This developmental study explored the conceptual feasibility and applicability of a metaverse-based clinical assessment platform as a complementary tool to conventional objective structured clinical examinations in undergraduate medical education. Methods: A targeted literature review and expert consensus process were conducted to identify domains of clinical competence in which metaverse technologies could provide added value. Based on these findings, prototype virtual patient simulations were developed within a metaverse environment. Large language models (LLMs) were integrated to support dynamic, interactive history-taking simulations, and pilot modules for physical examination were also created. Results: Integration of LLMs into virtual patient scenarios enabled realistic, context-sensitive medical interviews, facilitating interactive dialogue between examinees and simulated patients. In contrast, physical examination modules faced technical limitations, particularly in replicating procedures requiring tactile or haptic feedback, such as palpation and percussion. Nevertheless, the metaverse environment enabled delivery of consistent and reproducible scenarios, supporting objective assessment of communication and diagnostic reasoning skills. Conclusion Metaverse-based simulations augmented by LLMs offer a promising approach to scalable and standardized clinical assessment, particularly within cognitive and interpersonal competency domains. Although current technological constraints limit the fidelity of physical examination simulations, rapid advancements in immersive and haptic technologies may help overcome these barriers in the near future. Further research is needed to evaluate the educational efficacy, validity, and feasibility of deploying such platforms in summative, high-stakes assessment contexts.

BACKGROUND/OBJECTIVES: Obesity is a complex metabolic disorder characterized by excessive adipose tissue accumulation, dysregulated lipid metabolism, and insulin resistance, leading to an increased risk of metabolic disease. While Withania somnifera (AS) and Chrysanthemum zawadskii Herbich var. latilobum (Maxim.) Kitamura (C) have traditionally been used for their metabolic regulatory properties, their combined effects on adipogenesis, lipogenesis, lipolysis, and insulin signaling remain unexplored. Therefore, this study aimed to evaluate the anti-obesity effects of AS, C, and their optimal combination (ASC) in 3T3-L1 adipocytes by investigating their impact on lipid metabolism and glucose homeostasis.MATERIALS/METHODS: Following adipogenic differentiation, 3T3-L1 adipocytes were treated with AS, C, and ASC at different concentrations. RESULTS: AS, C, and ASC significantly inhibited adipogenesis by downregulating cyclic adenosine monophosphate (cAMP) response element-binding protein, peroxisome proliferator-activated receptor gamma, CCAAT/enhancer-binding proteins alpha and beta phosphorylation, thereby reducing lipid accumulation in adipocytes. They also suppressed lipogenesis by downregulating the expression of dephosphorylated acetyl-CoA carboxylase, fatty acid synthase, and lipoprotein lipase. In contrast, they markedly enhanced lipolysis, as evidenced by increased hormone-sensitive lipase and protein kinase A expression, along with elevated glycerol release and cAMP levels. Furthermore, AS, C, and ASC activated energy metabolism pathways, as indicated by the upregulation of AMP-activated protein kinase, uncoupling protein 1, and carnitine palmitoyltransferase 1A, suggesting a transition toward enhanced mitochondrial fatty acid oxidation. Notably, AS, C, and ASC significantly improved insulin signaling by restoring insulin receptor substrate 1, phosphoinositide 3-kinase, and Akt phosphorylation, while upregulating glucose transporter type 4 expression, indicating enhanced glucose uptake. Among all treatments, ASC showed relatively greater efficacy compared to AS or C alone, suggesting a potential additive effect. CONCLUSION These findings demonstrate that ASC effectively modulates multiple metabolic pathways in adipocytes, including adipogenesis, lipogenesis, lipolysis, energy metabolism, and insulin signaling, to exert its anti-obesity effects.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Objective: : Palliative care is a specialized approach designed to enhance the quality of life for both patients and their families, offering patient-centered care through comprehensive assessment and care planning. However, the integration of palliative care within neurocritical care settings has been relatively understudied. This descriptive study aims to identify the characteristics, palliative care needs, and outcomes of patients referred to palliative care services during admission to the neurosurgical intensive care unit (NS-ICU). Methods: : A retrospective analysis of adults admitted to the NS-ICU at a referral hospital between December 2019 and December 2021 was conducted. The study focused on those referred to the inpatient palliative care team with diagnoses of non-traumatic brain hemorrhage, traumatic brain injury, or brain neoplasm. Excluded were patients who died before palliative care consultation or lacked sufficient information. The investigation assessed demographic and clinical characteristics at consultation, along with post-consultation hospital outcomes derived from medical records and interview notes. Results: : In this study involving 38 enrolled patients, the median age was 65, with 42.1% females. The most prevalent diagnosis was nontraumatic brain hemorrhage (47.4%). Reasons for palliative care consultation included psychosocial support (95%), goal-of-care discussions (68%), decision-making support (50%), and communication facilitation (39%). The median time from NS-ICU admission to consultation was 3.5 days (interquartile range, 1–8 days), and all interviews involved family members. Key decision topics encompassed mechanical ventilation (23.7%) and tracheostomy (21.1%). Patient preferences for life-sustaining treatment could be estimated in only 47.4% of cases, often resulting in treatment disagreement. Among the 38 patients, 26 (68.4%) died during admission. Before the consultation, full code status, partial code status, and comfort care alone were reported as 32%, 66%, and 2%, respectively; post-consultation, these figures shifted to 11%, 42%, and 47%, respectively. Conclusion : Palliative care was predominantly sought for psychosocial support and discussions concerning goals of care. Despite challenges in ascertaining patient treatment preferences, palliative care consultations proved invaluable in aiding family members and facilitating treatment decision-making. Our study suggests the potential integration of palliative care within neuro-critical care, contributing to a heightened utilization of comfort care at the end-of-life.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Objective: : Palliative care is a specialized approach designed to enhance the quality of life for both patients and their families, offering patient-centered care through comprehensive assessment and care planning. However, the integration of palliative care within neurocritical care settings has been relatively understudied. This descriptive study aims to identify the characteristics, palliative care needs, and outcomes of patients referred to palliative care services during admission to the neurosurgical intensive care unit (NS-ICU). Methods: : A retrospective analysis of adults admitted to the NS-ICU at a referral hospital between December 2019 and December 2021 was conducted. The study focused on those referred to the inpatient palliative care team with diagnoses of non-traumatic brain hemorrhage, traumatic brain injury, or brain neoplasm. Excluded were patients who died before palliative care consultation or lacked sufficient information. The investigation assessed demographic and clinical characteristics at consultation, along with post-consultation hospital outcomes derived from medical records and interview notes. Results: : In this study involving 38 enrolled patients, the median age was 65, with 42.1% females. The most prevalent diagnosis was nontraumatic brain hemorrhage (47.4%). Reasons for palliative care consultation included psychosocial support (95%), goal-of-care discussions (68%), decision-making support (50%), and communication facilitation (39%). The median time from NS-ICU admission to consultation was 3.5 days (interquartile range, 1–8 days), and all interviews involved family members. Key decision topics encompassed mechanical ventilation (23.7%) and tracheostomy (21.1%). Patient preferences for life-sustaining treatment could be estimated in only 47.4% of cases, often resulting in treatment disagreement. Among the 38 patients, 26 (68.4%) died during admission. Before the consultation, full code status, partial code status, and comfort care alone were reported as 32%, 66%, and 2%, respectively; post-consultation, these figures shifted to 11%, 42%, and 47%, respectively. Conclusion : Palliative care was predominantly sought for psychosocial support and discussions concerning goals of care. Despite challenges in ascertaining patient treatment preferences, palliative care consultations proved invaluable in aiding family members and facilitating treatment decision-making. Our study suggests the potential integration of palliative care within neuro-critical care, contributing to a heightened utilization of comfort care at the end-of-life.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Objective: : Palliative care is a specialized approach designed to enhance the quality of life for both patients and their families, offering patient-centered care through comprehensive assessment and care planning. However, the integration of palliative care within neurocritical care settings has been relatively understudied. This descriptive study aims to identify the characteristics, palliative care needs, and outcomes of patients referred to palliative care services during admission to the neurosurgical intensive care unit (NS-ICU). Methods: : A retrospective analysis of adults admitted to the NS-ICU at a referral hospital between December 2019 and December 2021 was conducted. The study focused on those referred to the inpatient palliative care team with diagnoses of non-traumatic brain hemorrhage, traumatic brain injury, or brain neoplasm. Excluded were patients who died before palliative care consultation or lacked sufficient information. The investigation assessed demographic and clinical characteristics at consultation, along with post-consultation hospital outcomes derived from medical records and interview notes. Results: : In this study involving 38 enrolled patients, the median age was 65, with 42.1% females. The most prevalent diagnosis was nontraumatic brain hemorrhage (47.4%). Reasons for palliative care consultation included psychosocial support (95%), goal-of-care discussions (68%), decision-making support (50%), and communication facilitation (39%). The median time from NS-ICU admission to consultation was 3.5 days (interquartile range, 1–8 days), and all interviews involved family members. Key decision topics encompassed mechanical ventilation (23.7%) and tracheostomy (21.1%). Patient preferences for life-sustaining treatment could be estimated in only 47.4% of cases, often resulting in treatment disagreement. Among the 38 patients, 26 (68.4%) died during admission. Before the consultation, full code status, partial code status, and comfort care alone were reported as 32%, 66%, and 2%, respectively; post-consultation, these figures shifted to 11%, 42%, and 47%, respectively. Conclusion : Palliative care was predominantly sought for psychosocial support and discussions concerning goals of care. Despite challenges in ascertaining patient treatment preferences, palliative care consultations proved invaluable in aiding family members and facilitating treatment decision-making. Our study suggests the potential integration of palliative care within neuro-critical care, contributing to a heightened utilization of comfort care at the end-of-life.

Background: The accuracy of Logical Observation Identifiers Names and Codes (LOINC) mappings is reportedly low, and the LOINC codes used for research purposes in Korea have not been validated for accuracy or usability. Our study aimed to evaluate the discrepancies and similarities in interoperability using existing LOINC mappings in actual patient care settings. Methods: We collected data on local test codes and their corresponding LOINC mappings from seven university hospitals. Our analysis focused on laboratory tests that are frequently requested, excluding clinical microbiology and molecular tests. Codes from nationwide proficiency tests served as intermediary benchmarks for comparison. A research team, comprising clinical pathologists and terminology experts, utilized the LOINC manual to reach a consensus on determining the most suitable LOINC codes. Results: A total of 235 LOINC codes were designated as optimal codes for 162 frequent tests.Among these, 51 test items, including 34 urine tests, required multiple optimal LOINC codes, primarily due to unnoted properties such as whether the test was quantitative or qualitative, or differences in measurement units. We analyzed 962 LOINC codes linked to 162 tests across seven institutions, discovering that 792 (82.3%) of these codes were consistent. Inconsistencies were most common in the analyte component (38 inconsistencies, 33.3%), followed by the method (33 inconsistencies, 28.9%), and properties (13 inconsistencies, 11.4%). Conclusion This study reveals a significant inconsistency rate of over 15% in LOINC mappings utilized for research purposes in university hospitals, underlining the necessity for expert verification to enhance interoperability in real patient care.

Objective: : Palliative care is a specialized approach designed to enhance the quality of life for both patients and their families, offering patient-centered care through comprehensive assessment and care planning. However, the integration of palliative care within neurocritical care settings has been relatively understudied. This descriptive study aims to identify the characteristics, palliative care needs, and outcomes of patients referred to palliative care services during admission to the neurosurgical intensive care unit (NS-ICU). Methods: : A retrospective analysis of adults admitted to the NS-ICU at a referral hospital between December 2019 and December 2021 was conducted. The study focused on those referred to the inpatient palliative care team with diagnoses of non-traumatic brain hemorrhage, traumatic brain injury, or brain neoplasm. Excluded were patients who died before palliative care consultation or lacked sufficient information. The investigation assessed demographic and clinical characteristics at consultation, along with post-consultation hospital outcomes derived from medical records and interview notes. Results: : In this study involving 38 enrolled patients, the median age was 65, with 42.1% females. The most prevalent diagnosis was nontraumatic brain hemorrhage (47.4%). Reasons for palliative care consultation included psychosocial support (95%), goal-of-care discussions (68%), decision-making support (50%), and communication facilitation (39%). The median time from NS-ICU admission to consultation was 3.5 days (interquartile range, 1–8 days), and all interviews involved family members. Key decision topics encompassed mechanical ventilation (23.7%) and tracheostomy (21.1%). Patient preferences for life-sustaining treatment could be estimated in only 47.4% of cases, often resulting in treatment disagreement. Among the 38 patients, 26 (68.4%) died during admission. Before the consultation, full code status, partial code status, and comfort care alone were reported as 32%, 66%, and 2%, respectively; post-consultation, these figures shifted to 11%, 42%, and 47%, respectively. Conclusion : Palliative care was predominantly sought for psychosocial support and discussions concerning goals of care. Despite challenges in ascertaining patient treatment preferences, palliative care consultations proved invaluable in aiding family members and facilitating treatment decision-making. Our study suggests the potential integration of palliative care within neuro-critical care, contributing to a heightened utilization of comfort care at the end-of-life.