This study aimed to identify factors influencing general-hospital nurses’ delirium knowledge, critical-thinking disposition, and compassion competence on delirium nursing performance. Methods: This research included 193 nurses from three shifts at three general hospitals, each with over 500 beds, in Jeolla Province. Data were collected from January 29 to February 20, 2024. The collected data were analyzed using SPSS 25.0, descriptive statistics, independent t-test, one-way ANOVA, Pearson’s correlation, and hierarchical multiple regression. Results: The factors affecting delirium-nursing performance, age (β=.02, p=.025) and compassion competence (β=.35, p<.001), explained 32.0% of the variance in the model. Conclusion: The factors influencing the performance of delirium care among general-hospital nurses were age and compassion competence. Policy support and self-coaching programs are necessary to continuously develop nurses’ compassion competence.

Objectives: The Ministry of Education in South Korea conducts an annual Student Emotional and Behavioral Characteristics Test to facilitate early identification and intervention for mental health issues among adolescents. Students who exceed the screening cut-off undergo a secondary in-depth evaluation. In response to the increasing use of remote services following the coronavirus disease-2019 (COVID-19) pandemic, this study aimed to compare satisfaction and perceived reliability of face-to-face and remote formats of the secondary evaluation as reported by school personnel responsible for conducting the assessments. Methods: A total of 94 school personnel who oversaw the 2023 secondary evaluations in a metropolitan area participated in an anonymous online survey. The survey assessed their satisfaction with the evaluation period, perceived reliability of the evaluation process, and perceived reliability of the written reports. Subgroup analyses were conducted based on their experience with and preference for each evaluation format. Mann-Whitney U tests were used to compare differences between groups. Results: No significant differences were found between the face-to-face and remote groups in satisfaction with the evaluation period or the reliability of the written results. However, the face-to-face format was perceived as significantly more reliable in terms of the evaluation process itself. Among participants who had experience with both formats, the face-to-face format continued to receive higher reliability ratings, particularly among those who preferred face-to-face assessments. In contrast, those who preferred remote assessments showed no significant differences regardless of the format used. Conclusions Although some counselors express concern about the reliability of remote assessments, the findings suggest that remote formats can yield comparable results to face-to-face evaluations in terms of satisfaction and outcome reliability. While remote assessments may not fully replace in-person interactions, they can serve as a valid and efficient alternative, particularly for large-scale mental health screenings in school settings. Expanding the use of structured remote evaluations may enhance accessibility and responsiveness in school-based mental health services.

Background/Aims: Metabolic dysfunction-associated steatotic liver disease (MASLD) is characterized by fat accumulation in the liver. MASLD encompasses both steatosis and MASH. Since MASH can lead to cirrhosis and liver cancer, steatosis and MASH must be distinguished during patient treatment. Here, we investigate the genomes, epigenomes, and transcriptomes of MASLD patients to identify signature gene set for more accurate tracking of MASLD progression. Methods: Biopsy-tissue and blood samples from patients with 134 MASLD, comprising 60 steatosis and 74 MASH patients were performed omics analysis. SVM learning algorithm were used to calculate most predictive features. Linear regression was applied to find signature gene set that distinguish the stage of MASLD and to validate their application into independent cohort of MASLD. Results: After performing WGS, WES, WGBS, and total RNA-seq on 134 biopsy samples from confirmed MASLD patients, we provided 1,955 MASLD-associated features, out of 3,176 somatic variant callings, 58 DMRs, and 1,393 DEGs that track MASLD progression. Then, we used a SVM learning algorithm to analyze the data and select the most predictive features. Using linear regression, we identified a signature gene set capable of differentiating the various stages of MASLD and verified it in different independent cohorts of MASLD and a liver cancer cohort. Conclusions We identified a signature gene set (i.e., CAPG, HYAL3, WIPI1, TREM2, SPP1, and RNASE6) with strong potential as a panel of diagnostic genes of MASLD-associated disease.

Background/Aims: The histological criteria in the 1999 and 2008 scoring systems proposed by the International Autoimmune Hepatitis Group (IAIHG) have their inherent limitations in diagnosing autoimmune hepatitis (AIH). In this study, we evaluated the histology components of four scoring systems (1. revised original scoring system [“1999 IAIHG”], 2. simplified scoring system [“2008 IAIHG”], 3. modified histologic criteria [“2017 UCSF”], and 4. a new histologic criteria proposed by the International AIH Pathology Group [“2022 IAHPG”]) in AIH patients. Methods: Medical records and liver biopsies were retrospectively reviewed for 68 patients from two independent medical institutions, diagnosed with AIH based on the 1999 IAIHG system between 2006 and 2016. The histological features were reviewed in detail, and the four histological scoring systems were compared. Results: Out of the 68 patients, 56 (82.4%) patients met the “probable” or “definite” AIH criteria of the 2008 IAIHG system, and the proportion of histologic score 2 (maximum) was 40/68 (58.8%). By applying the 2017 UCSF criteria, the number of histology score 2 increased to 60/68 (88.2%), and “probable” or “definite” AIH cases increased to 61/68 (89.7%). Finally, applying the 2022 IAHPG histology score resulted in the highest number of cases with histologic score 2 (64/68; 94.1%) and with a diagnosis of “probable” or “definite” AIH (62/68; 91.2%). Conclusions The recently proposed UCSF/IAHPG histological criteria increased the histology score of AIH. Substituting the histology component of the 2008 IAIHG system with the 2022 IAHPG criteria increased the sensitivity for diagnosing AIH (≥“Probable AIH”) from 82.4% to 91.2%.

Background: and Purpose: The SoUth Korea study to PrEvent cognitive impaiRment and protect BRAIN health through lifestyle intervention (SUPERBRAIN) proved the feasibility of multidomain intervention for elderly people. One-quarter of the Korean population over 65 years of age has mild cognitive impairment (MCI). Digital health interventions may be costeffective and have fewer spatial constraints. We aim to examine the efficacy of a multidomain intervention through both face-to-face interactions and video communication platforms using a tablet personal computer (PC) application in MCI. Methods: Three hundred participants aged 60–85 years, with MCI and at least one modifiable dementia risk factor, will be recruited from 17 centers and randomly assigned in a 1:1 ratio to the multidomain intervention and the waiting-list control groups. Participants will receive the 24-week intervention through the tablet PC SUPERBRAIN application, which encompasses the following five elements: managing metabolic and vascular risk factors, cognitive training,physical exercise, nutritional guidance, and boosting motivation. Participants will attend the interventions at a facility every 1–2 weeks. They will also engage in one or two self-administered cognitive training sessions utilizing the tablet PC application at home each week. They will participate in twice or thrice weekly online exercise sessions at home via the ZOOM platform. The primary outcome will be the change in the total scale index score of the Repeatable Battery for the Assessment of Neuropsychological Status from baseline to study end. Conclusions This study will inform the effectiveness of a comprehensive multidomain intervention utilizing digital technologies in MCI.