Purpose: This study aimed to investigate the relationship between socio-cognitive mindfulness, job stress, social support, and turnover intention among general hospital nurses and identify the factors influencing nurses’ turnover intention. Methods: A descriptive survey was conducted among 218 nurses from five general hospitals located in G metropolitan city. The participants completed a questionnaire measuring the study variables, and the data were analyzed using t-tests, ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression analysis in SPSS/WIN 28.0. Results: Significant differences were found in turnover intention by gender (t=-2.12, p=.036), family type (t=-3.09, p=.002), work department (F=7.01, p<.001), and work type (t=2.55, p=.011). Socio-cognitive mindfulness was positively related to social support (r=.331, p<.001), and turnover intention was positively related to job stress (r=.347, p<.001). The factors influencing nurses’ turnover intention included job stress (β=.317, p<.001), work department (artificial kidney room: β=-.287, p=.004; emergency room: β=-.219, p=.015), social support (β=-.183, p=.005), and work type (shift work: β=.170, p=.036), respectively. These factors explained 23.4% of the variance. Conclusion The findings indicate the need to develop programs to effectively cope with job stress and implement mentoring systems or psychological support programs to reduce turnover intention among nurses at the organizational level.

Purpose: This study aimed to investigate the relationship between socio-cognitive mindfulness, job stress, social support, and turnover intention among general hospital nurses and identify the factors influencing nurses’ turnover intention. Methods: A descriptive survey was conducted among 218 nurses from five general hospitals located in G metropolitan city. The participants completed a questionnaire measuring the study variables, and the data were analyzed using t-tests, ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression analysis in SPSS/WIN 28.0. Results: Significant differences were found in turnover intention by gender (t=-2.12, p=.036), family type (t=-3.09, p=.002), work department (F=7.01, p<.001), and work type (t=2.55, p=.011). Socio-cognitive mindfulness was positively related to social support (r=.331, p<.001), and turnover intention was positively related to job stress (r=.347, p<.001). The factors influencing nurses’ turnover intention included job stress (β=.317, p<.001), work department (artificial kidney room: β=-.287, p=.004; emergency room: β=-.219, p=.015), social support (β=-.183, p=.005), and work type (shift work: β=.170, p=.036), respectively. These factors explained 23.4% of the variance. Conclusion The findings indicate the need to develop programs to effectively cope with job stress and implement mentoring systems or psychological support programs to reduce turnover intention among nurses at the organizational level.

Purpose: This study aimed to investigate the relationship between socio-cognitive mindfulness, job stress, social support, and turnover intention among general hospital nurses and identify the factors influencing nurses’ turnover intention. Methods: A descriptive survey was conducted among 218 nurses from five general hospitals located in G metropolitan city. The participants completed a questionnaire measuring the study variables, and the data were analyzed using t-tests, ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression analysis in SPSS/WIN 28.0. Results: Significant differences were found in turnover intention by gender (t=-2.12, p=.036), family type (t=-3.09, p=.002), work department (F=7.01, p<.001), and work type (t=2.55, p=.011). Socio-cognitive mindfulness was positively related to social support (r=.331, p<.001), and turnover intention was positively related to job stress (r=.347, p<.001). The factors influencing nurses’ turnover intention included job stress (β=.317, p<.001), work department (artificial kidney room: β=-.287, p=.004; emergency room: β=-.219, p=.015), social support (β=-.183, p=.005), and work type (shift work: β=.170, p=.036), respectively. These factors explained 23.4% of the variance. Conclusion The findings indicate the need to develop programs to effectively cope with job stress and implement mentoring systems or psychological support programs to reduce turnover intention among nurses at the organizational level.

Purpose: This study aimed to investigate the relationship between socio-cognitive mindfulness, job stress, social support, and turnover intention among general hospital nurses and identify the factors influencing nurses’ turnover intention. Methods: A descriptive survey was conducted among 218 nurses from five general hospitals located in G metropolitan city. The participants completed a questionnaire measuring the study variables, and the data were analyzed using t-tests, ANOVA, Pearson’s correlation coefficient, and hierarchical multiple regression analysis in SPSS/WIN 28.0. Results: Significant differences were found in turnover intention by gender (t=-2.12, p=.036), family type (t=-3.09, p=.002), work department (F=7.01, p<.001), and work type (t=2.55, p=.011). Socio-cognitive mindfulness was positively related to social support (r=.331, p<.001), and turnover intention was positively related to job stress (r=.347, p<.001). The factors influencing nurses’ turnover intention included job stress (β=.317, p<.001), work department (artificial kidney room: β=-.287, p=.004; emergency room: β=-.219, p=.015), social support (β=-.183, p=.005), and work type (shift work: β=.170, p=.036), respectively. These factors explained 23.4% of the variance. Conclusion The findings indicate the need to develop programs to effectively cope with job stress and implement mentoring systems or psychological support programs to reduce turnover intention among nurses at the organizational level.

Vancomycin, a vital antibiotic for treating gram-positive bacterial infections, requires therapeutic drug monitoring (TDM) because of its substantial pharmacokinetic variability. While traditional TDM relies on steady-state trough concentrations, recent guidelines advocate the area under the concentration–time curve (AUC) as the target index. However, detailed protocols for AUC estimation are lacking, leading to potential discrepancies among institutions. We surveyed medical institutions in Korea regarding vancomycin TDM, including AUC estimation. Nineteen participants responded to the TDM case challenge under three patient scenarios. For an ordinary patient in Case 1, the overall CV for AUC values was 0.4% when both trough and peak concentrations were included in the AUC calculation and 1.9% when utilizing only the trough concentration. For Case 2, an older patient with obesity, the corresponding CV was 6.6%. For Case 3 with multiple trough concentrations, the CV was 15.6%, reflecting variations in the selective use of data. Although the agreements in Case 1 were good, significant variability in AUC estimation was noted in cases involving atypical patient characteristics or old TDM data. Our study provides insight into the current status of vancomycin TDM in Korea and underscores the need for standardized operational protocols for AUC estimation.

Background: Flow cytometric immunophenotyping of hematolymphoid neoplasms (FCIHLN) is essential for diagnosis, classification, and minimal residual disease (MRD) monitoring. FCI-HLN is typically performed using in-house protocols, raising the need for standardization. Therefore, we surveyed the current status of FCI-HLN in Korea to obtain fundamental data for quality improvement and standardization. Methods: Eight university hospitals actively conducting FCI-HLN participated in our survey.We analyzed responses to a questionnaire that included inquiries regarding test items, reagent antibodies (RAs), fluorophores, sample amounts (SAs), reagent antibody amounts (RAAs), acquisition cell number (ACN), isotype control (IC) usage, positiveegative criteria, and reporting. Results: Most hospitals used acute HLN, chronic HLN, plasma cell neoplasm (PCN), and MRD panels. The numbers of RAs were heterogeneous, with a maximum of 32, 26, 12, 14, and 10 antibodies used for acute HLN, chronic HLN, PCN, ALL-MRD, and multiple myeloma-MRD, respectively. The number of fluorophores ranged from 4 to 10. RAs, SAs, RAAs, and ACN were diverse. Most hospitals used a positive criterion of 20%, whereas one used 10% for acute and chronic HLN panels. Five hospitals used ICs for the negative criterion. Positiveegative assignments, percentages, and general opinions were commonly reported. In MRD reporting, the limit of detection and lower limit of quantification were included. Conclusions This is the first comprehensive study on the current status of FCI-HLN in Korea, confirming the high heterogeneity and complexity of FCI-HLN practices. Standardization of FCI-HLN is urgently needed. The findings provide a reference for establishing standard FCI-HLN guidelines.

Purpose: The purpose of this study is to identify the educational needs of virtual reality simulations that can be applied to novice nurses during the waiting period before starting work in a hospital. Methods: A convergent mixed methods was used. The survey data were collected from 230 novice nurses, and a focus group interview was conducted with 6 new nurses. The data were collected from November 2022 to January 2023. Descriptive statistics, a frequency analysis, independent t-test, and an Importance-Performance Analysis were performed using SPSS 24.0. Results: Appropriate topics for virtual reality simulation education were indicated to be medications and intravenous injections, which are high priority topics in quantitative and qualitative research. The novice nurses wanted group activity training three to four times a week for two weeks before beginning work in a hospital. They also wanted an immersive virtual reality system based on a real hospital environment. Conclusion Based on the above results, this study provides basic data for the development of a virtual reality simulation education that can improve the adaptation of novice nurses to clinical practice. A strategy was suggested to utilize the waiting time before beginning work in a hospital as educational time.

BACKGROUND/OBJECTIVES: Poorly regulated inflammation is believed to be the most predominant factor that can result in a wide scope of diseases including atopic dermatitis (AD). Despite many studies on the effect of pear pomace in obesity-related disorders including dysregulated gut microbiota, the protective effect of pear pomace in AD is still unknown. This study aimed to evaluate the effect of pear pomace ethanol extract (PPE) on AD by inhibiting inflammation.MATERIALS/METHODS: In the in vivo experiment, 2, 4-dinitrochlorobenzene (DNCB) was applied to NC/Nga mice to induce AD-like skin lesions. After the induction, PPE was administered daily by oral gavage for 4 weeks. The clinical severity score, serum IgE levels, spleen weight, histological changes in dorsal skin, and inflammation-related proteins were measured. In the cell study, RAW 264.7 cells were pretreated with PPE before stimulation with lipopolysaccharide (LPS). Nitrite oxide (NO) production and nuclear factor kappa B (NFkB) protein expression were detected. RESULTS: Compared to the AD control (AD-C) group, IgE levels were dramatically decreased via PPE treatment. PPE significantly reduced scratching behavior, improved skin symptoms, and decreased ear thickness compared to the AD-C group. In addition, PPE inhibited the DNCB-induced expression of inducible nitrite oxide synthase (iNOS), the receptor for advanced glycation end products, extracellular signal-regulated kinase (ERK) 1/2, and NF-κB.PPE inhibited the LPS-induced overproduction of NO and the enhanced expression of iNOS and cyclooxygenase-2. Moreover, the phosphorylation of ERK1/2 and NF-κB in RAW 264.7 cells was suppressed by PPE. CONCLUSIONS These results suggest that PPE could be explored as a therapeutic agent to prevent AD.

BACKGROUND: Liver biopsies have been partially replaced by noninvasive methods for assessing liver fibrosis. We explored the usefulness of four novel biomarkers, enhanced liver fibrosis (ELF), glycosylation isomer of Mac-2 binding protein (M2BPGi), galectin-3, and soluble suppression of tumorigenicity 2 (sST2), in association with liver fibrosis. METHODS: ELF, M2BPGi, galectin-3, and sST2 were assayed in 173 patients with chronic liver diseases. The results were analyzed according to fibrosis grade (F0/1, F2, and F3/4) by transient elastography (TE). RESULTS: ELF, M2BPGi, galectin-3, and sST2 values differed significantly according to TE grade; ELF and M2BPGi values were higher in F2 and F3/4 than in F0/1 (P≤0.001, all), sST2 values were higher in F3/4 than in F0/1 and F2 (P < 0.05), and galectin-3 values were higher in F3/4 than in F0/1 (P=0.0036). ELF and M2BPGi showed good TE fibrosis detection performance (area under the curves [AUC], 0.841 and 0.833 for ≥F2; and 0.837 and 0.808 for ≥F3). The sensitivity and specificity for predicting TE grade F≥2 were 84.1% and 76.7% for ELF and 63.6% and 91.5% for M2BPGi. CONCLUSIONS: This is the first study to compare the liver fibrosis assessment of four novel biomarkers: ELF, M2BPGi, galectin-3, and sST2. The biomarkers varied significantly according to TE grade, and each biomarker showed a different trend. ELF and M2BPGi seem to have comparable good performance for detecting liver fibrosis.
Biomarkers ; Biopsy ; Carrier Proteins* ; Elasticity Imaging Techniques ; Fibrosis ; Galectin 3* ; Glycosylation* ; Humans ; Liver Cirrhosis* ; Liver Diseases* ; Liver* ; Sensitivity and Specificity

BACKGROUND: Soluble ST2 (sST2) has emerged as a biomarker of heart failure. Previous studies indicated 35 ng/mL of sST2 as the clinically prognostic cut-off value. This study aims to establish reference intervals in a Korean population using an sST2 assay and to evaluate the applicability of the cut-off value. METHODS: From March to May 2014, sST2 levels were assayed in serum samples of 255 cardio-healthy Koreans (128 men and 127 women) using the Presage ST2 ELISA kit (Critical Diagnostics, USA). The reference interval for sST2 was defined using the nonparametric percentile method according to the CLSI EP28-A3c guideline. RESULTS: The median sST2 concentrations were 23.8 ng/mL (interquartile range (IQR), 19.0-28.7), 26.6 ng/mL (IQR, 21.0-30.9), and 21.9 ng/mL (IQR, 17.3-26.5) for the entire cohort, men, and women, respectively. sST2 levels were significantly higher in men than in women (P<0.0001). The 97.5th percentile upper reference limits for sST2 were 43.8 ng/mL, 49.6 ng/mL, and 35.4 ng/mL for the cohort, men, and women, respectively. Gender-specific upper reference limits were similar to limits reported by other studies. CONCLUSIONS: We suggest that gender-specific reference intervals should be used for the Korean population, as application of a single cut-off value of 35 ng/mL may be overcautious of the possibility of false positivity, especially in men.
Cohort Studies ; Enzyme-Linked Immunosorbent Assay ; Female ; Heart Failure ; Humans ; Male ; Methods