This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

This pilot study evaluates an artificial intelligence (AI)-assisted electrocardiography (ECG) analysis system, QCG, to enhance urgent coronary angiography (CAG) decision-making for acute chest pain in the emergency department (ED). We retrospectively analyzed 300 ED cases, categorized as non-coronary chest pain (Group 1), acute coronary syndrome (ACS) without occlusive coronary artery disease (CAD) (Group 2), and ACS with occlusive CAD (Group 3). Six clinicians made urgent CAG decision using a conventional approach (clinical data and ECG) and a QCG-assisted approach (including QCG scores). The QCG-assisted approach improved correct CAG decisions in Group 2 (36.0% vs. 45.3%, P = 0.003) and Group 3 (85.3% vs. 90.0%, P = 0.017), with minimal impact in Group 1 (92.7% vs. 95.0%, P = 0.125). Diagnostic accuracy for ACS improved from 77% to 81% with QCG assistance and reached 82% with QCG alone, supporting AI's potential to enhance urgent CAG decisionmaking for ED chest pain cases.

The purpose of this study was to investigate the effects of activities of daily living, depression, and social support on the meaning in life in older adults using services under the long-term care insurance system. Methods: This was a cross-sectional study. A total of 121 older adults were recruited from seven senior daycare centers in two cities in Korea. Data collection was performed between September and October 2023. The data were analyzed using descriptive statistics, t-tests, ANOVA, Pearson correlation coefficients, and hierarchical multiple regression analysis. Results: The results of this study showed that social support (β=.45, p<.001) and depression (β=-.16, p=.048) were significantly affecting factors to the meaning in life in older adults using services under the long-term care insurance system. Conclusion: Efforts to enhance social support and reduce depressive symptoms are critical to improve the meaning in life of older adults utilizing services under the long-term care insurance system. Specifically, it is necessary to closely identify older adults’ depressive symptoms and further strengthen social support, including policy support and individualized support from healthcare professionals in the facilities to improve older adults’ meaning in life.

Purpose: : This study aimed to identify factors influencing the quality of life of family caregivers of intensive care unit (ICU) patients. Methods: : We conducted a study using a cross-sectional design. The study involved 109 family caregivers of ICU patients at a university-affiliated hospital in Gyeonggi-do, South Korea. Data were collected through self-report questionnaires between July 2020 and April 2021 and analyzed using descriptive statistics, independent t-tests, one-way ANOVA, Pearson’s correlation coefficients, and multiple regression analysis. Results: : The study revealed significant differences in quality of life based on economic status (F=11.63, p ＜ .001), cohabitation with patients (t=-2.04, p=.044), sleep duration after patient’s admission to the ICU (t=-2.48, p =.025), and subjective health status (F=30.06, p ＜.001). There were significant negative correlations observed between quality of life and post-traumatic stress symptoms (r=-.38, p ＜.001) as well as caregiver burden (r=-.46, p ＜.001). Factors affecting quality of life were subjective health status, economic status, and caregiver burden (adj. R2 =0.52, F=15.64, p ＜.001). Conclusion : These findings underscore the need to develop and implement intervention programs tailored to the health conditions and economic status of family caregivers, with a focus on alleviating caregiver burden. Such initiatives are essential to ultimately improve the quality of life for family caregivers of ICU patients.

Purpose: : The study aimed to identify relationship among intensive care unit (ICU) nurses’ critical thinking disposition, medication error risk level of high-alert medication, and medication safety competency, as well as the factors affecting medication safety competency. Methods: : The participants were 266 ICU nurses of one higher-tier general hospital and one general hospital in Province. The data were collected using structured self-administered questionnaire from August 10 to August 31, 2021. Measurements included the critical thinking disposition questionnaire, nurses’s knowledge of high-alert medication questionnaire, the medication safety competency scale. Data were analyzed using hierarchical multiple regressions using SPSS/WIN 28.0. Results: : In the multiple regression analysis, the medication safety competence has a statistically significant correlation with the working department, the critical thinking disposition, and medication error risk level of high-alert medication. Conclusion : Based on the results of this study, it is suggested to develop and apply an educational strategy that can strengthen the knowledge and skills of critical thinking disposition and medication error risk level of high-alert medication to improve the ICU nurse’s medication safety competency.

Purpose: The expression of major histocompatibility complex class I (MHC I) has previously been reported to be negatively associated with estrogen receptor (ER) expression. Furthermore, MHC I expression, level of tumor-infiltrating lymphocytes (TILs), and expression of interferon (IFN) mediator MxA are positively associated with one another in human breast cancers. This study aimed to investigate the mechanisms of association of MHC I with ER and IFN signaling. Materials and Methods: The human leukocyte antigen (HLA)-ABC protein expression was analyzed in breast cancer cell lines. The expressions of HLA-A and MxA mRNAs were analyzed in MCF-7 cells in Gene Expression Omnibus (GEO) data. ER and HLA-ABC expressions, Ki-67 labeling index and TIL levels in tumor tissue were also analyzed in ER+/ human epidermal growth factor receptor 2 (HER2)- breast cancer patients who randomly received either neoadjuvant chemotherapy or estrogen modulator treatment followed by resection. Results: HLA-ABC protein expression was decreased after β-estradiol treatment or hESR-GFP transfection and increased after fulvestrant or IFN-γ treatment in cell lines. In GEO data, HLA-A and MxA expression was increased after ESR1 shRNA transfection. In patients, ER Allred score was significantly lower and the HLA-ABC expression, TIL levels, and Ki-67 were significantly higher in the estrogen modulator treated group than the chemotherapy treated group. Conclusion MHC I expression and TIL levels might be affected by ER pathway modulation and IFN treatment. Further studies elucidating the mechanism of MHC I regulation could suggest a way to boost TIL influx in cancer in a clinical setting.

Purpose: The objective of this study was to identify the factors influencing maternal identity in pregnant women. Methods: Using a descriptive research design, a cross-sectional survey was conducted. In total, 127 pregnant women were recruited from a tertiary hospital in Korea from January to April 2019. Measurements included maternal identity, stress, depression, spousal and familial support, and demographic and obstetric characteristics. Data were analyzed by descriptive statistics, the independent t-test, one-way ANOVA, Pearson correlation coefficients, and stepwise multiple regression using SPSS version 25.0. Results: The mean score for maternal identity was 131.15 out of 160, and the mean scores for stress, depression, and spousal and familial support were 14.59 (out of 40), 6.82 (out of 30), and 109.04 (out of 132), respectively. Stress (r=–.38, p<.001), depression (r=–.37, p<.001), and spousal and familial support (r=.37, p<.001) were significantly correlated with maternal identity. In multiple regression analysis, stress (β=–0.27, p=.005) and spousal and familial support (β=0.23, p=.014) were found to be significant factors influencing maternal identity in pregnant women (F=14.17, p<.001). Conclusion It is necessary to develop effective strategies to mitigate stress and to encourage spousal and familial support in pregnant women. Such strategies could further enable pregnant women to enhance their maternal identity.

BACKGROUND: Association between obesity and family communication was a controversial issue in previous studies. Previous studies were done on adolescents and adults in overall. This study was done to figure out association between obesity of medical school students specifically and their family function including communication and to help them on the treatment of obese patients.METHODS: A self-reported questionnaire was filled in by 97 medical school students in Busan. They were asked to answer forty different questions including their height and weight. Association between BMI and family communication was studied using FACE III, Family APGAR and KOBES.RESULTS: Among 97 correspondents, 30 of them were found to be overweight to obese. There was a significant difference in number of siblings, amount of food intake, meal time and recent weight reduction trial among overweight-obese group and normal group. The mean Family APGAR score of normal group was higher than overweight-obese group. Flexibility and connectivity score in FACE III of normal group was also higher than overweight-obese group. Among all the factors considered, recent weight reduction trial was the only factor that was statistically significant in accordance with normal weight.CONCLUSION: There was significant relation between flexibility and connectivity of family function with overweight and obesity. In order to investigate further relation and significance on separate gender, larger study samples are needed. Future studies are suggested regarding gender differences on relationship between overweight-obesity and family function in medical school students.
Adolescent ; Adult ; Apgar Score ; Body Mass Index ; Busan ; Eating ; Humans ; Meals ; Obesity ; Overweight ; Pliability ; Schools, Medical ; Siblings ; Students, Medical ; Weight Loss