Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

Purpose: This study aimed to identify the mediating effect of organizational communication on the relationship between organizational justice and the work engagement of clinical nurses. Methods: This study included 186 nurses from 6 small and medium-sized hospitals. Data were collected from September 1 to October 31, 2023 using self-report questionnaires and were analyzed using IBM SPSS Statistics for Windows version 25.0. The data were analyzed using descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient. Multiple regression analysis based on the three-step mediation effect verification procedures proposed by Baron and Kenny, and the mediating effect was confirmed using bootstrapping and verified using the SPSS PROCESS macro model 4. Results: Organizational communication had perfect mediating effects on the relationship between organizational justice and work engagement (indirect effect=0.35). Conclusion Based on the results of this study, to improve the work engagement of clinical nurses, institutional efforts to improve the justice of nursing organizations and effective strategies are needed to develop and apply programs to enhance organizational communication competency.

Purpose: This study aimed to identify the mediating effect of organizational communication on the relationship between organizational justice and the work engagement of clinical nurses. Methods: This study included 186 nurses from 6 small and medium-sized hospitals. Data were collected from September 1 to October 31, 2023 using self-report questionnaires and were analyzed using IBM SPSS Statistics for Windows version 25.0. The data were analyzed using descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient. Multiple regression analysis based on the three-step mediation effect verification procedures proposed by Baron and Kenny, and the mediating effect was confirmed using bootstrapping and verified using the SPSS PROCESS macro model 4. Results: Organizational communication had perfect mediating effects on the relationship between organizational justice and work engagement (indirect effect=0.35). Conclusion Based on the results of this study, to improve the work engagement of clinical nurses, institutional efforts to improve the justice of nursing organizations and effective strategies are needed to develop and apply programs to enhance organizational communication competency.

Purpose: This study aimed to identify the mediating effect of organizational communication on the relationship between organizational justice and the work engagement of clinical nurses. Methods: This study included 186 nurses from 6 small and medium-sized hospitals. Data were collected from September 1 to October 31, 2023 using self-report questionnaires and were analyzed using IBM SPSS Statistics for Windows version 25.0. The data were analyzed using descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient. Multiple regression analysis based on the three-step mediation effect verification procedures proposed by Baron and Kenny, and the mediating effect was confirmed using bootstrapping and verified using the SPSS PROCESS macro model 4. Results: Organizational communication had perfect mediating effects on the relationship between organizational justice and work engagement (indirect effect=0.35). Conclusion Based on the results of this study, to improve the work engagement of clinical nurses, institutional efforts to improve the justice of nursing organizations and effective strategies are needed to develop and apply programs to enhance organizational communication competency.

Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

Purpose: This study aimed to identify the mediating effect of organizational communication on the relationship between organizational justice and the work engagement of clinical nurses. Methods: This study included 186 nurses from 6 small and medium-sized hospitals. Data were collected from September 1 to October 31, 2023 using self-report questionnaires and were analyzed using IBM SPSS Statistics for Windows version 25.0. The data were analyzed using descriptive statistics, t-test, ANOVA, and Pearson's correlation coefficient. Multiple regression analysis based on the three-step mediation effect verification procedures proposed by Baron and Kenny, and the mediating effect was confirmed using bootstrapping and verified using the SPSS PROCESS macro model 4. Results: Organizational communication had perfect mediating effects on the relationship between organizational justice and work engagement (indirect effect=0.35). Conclusion Based on the results of this study, to improve the work engagement of clinical nurses, institutional efforts to improve the justice of nursing organizations and effective strategies are needed to develop and apply programs to enhance organizational communication competency.

Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

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.

Background: Oral cancer drugs, particularly tyrosine kinase inhibitors (TKIs), are increasingly popular due to their convenience.However, they pose challenges like drug interactions, especially with medications like azole antifungals. While the FDA providessome guidance, more detailed information is needed to manage these interactions effectively. A meta-analysis was conducted tounderstand the impact of interactions between TKIs and azole antifungals on adverse events during clinical studies. Methods: A meta-analysis followed PRISMA guidelines. Data from PubMed, EMBASE, and references were searched until November 30, 2021. Inclusion criteria encompassed studies on TKI-antifungal interactions in English. Study selection and quality assessment were conducted by two independent investigators. Results: Out of 158 articles, 11 were selected for analysis. Combination therapy showed a slight increase in adverse events but was not statistically significant (OR 1.02, 95% CI 0.49-2.13, p=0.95). AUC and Cmax fold changes did not significantly impact adverse event development. Both itraconazole and ketoconazole showed no significant difference in adverse event development compared to TKI alone. Conclusions Study finds TKI-DDI not significantlylinked to AE increase; azole antifungal types not related to AE. Future DDI research crucial for drug development.

As preexisting comorbidities are risk factors for Coronavirus Disease 19 (COVID-19), improved tools are needed for screening or diagnosing COVID-19 in clinical practice. Difficulties of including vulnerable patient data may create data im-balance and hinder the provision of well-performing prediction tools, such as artificial intelligence (AI) models. Thus, we system-atically reviewed studies on AI prognosis prediction in patients infected with COVID-19 and existing comorbidities, including cancer, to investigate model performance and predictors dependent on patient data. PubMed and Cochrane Library databases were searched. This study included research meeting the criteria of using AI to predict outcomes in COVID-19 patients, whether they had cancer or not. Preprints, abstracts, reviews, and animal studies were excluded from the analysis. Majority of non-cancer studies (54.55 percent) showed an area under the curve (AUC) of >0.90 for AI models, whereas 30.77 percent of cancer studies showed the same result. For predicting mortality (3.85 percent), severity (8.33 percent), and hospitalization (14.29 percent), only cancer studies showed AUC values between 0.50 and 0.69. The distribution of comorbidity data varied more in non-cancer studies than in cancer studies but age was indicated as the primary predictor in all studies. Non-cancer studies with more balanced datasets of comorbidities showed higher AUC values than cancer studies. Based on the current findings, dataset balancing is es-sential for improving AI performance in predicting COVID-19 in patients with comorbidities, especially considering age.