Purpose: This study analyzed the characteristics of pediatric patients’ (≤ 18 years) intentional injury-related visits to the emergency department (ED) using National Emergency Department Information System data from January 1 through December 31, 2023, providing foundational evidence for prevention strategies and policy development. Methods: The injuries were categorized into unintentional and intentional, and relevant characteristics were compared between the 2 categories. The intentional injuries were further divided into self-harm and violence. Percentages were calculated for each variable and compared using the chi-square or Fisher exact tests. Results: Among 301,852 pediatric patients, those with intentional injuries showed higher proportions of girls, adolescents, visits in the wee hours, visits via firehouse ambulances, injuries by collision, by penetration, or by poisoning, hospitalization, Korean Triage and Acuity Scale levels 1-3, an ED length of stay of 2 hours or longer, and primary care by psychiatrists, than those with unintentional injuries. The pediatric patients with self-harm injuries showed higher proportions of girls, adolescents, visits in the wee or morning hours, visits via firehouse ambulances, injuries by collision, by penetration, or by poisoning, hospitalization or inter-facility transfer, Korean Triage and Acuity Scale levels 1-3, an ED length of stay of 2 hours or longer, and primary care by psychiatrists as well as by orthopedic surgeons or pediatricians, than those with violence injuries. Conclusion This study highlights the need to develop strategies per age and sex for preventing self-harm among pediatric patients, and to ensure safe and effective psychiatric care in EDs. In addition, the prevention of child abuse requires a multidisciplinary approach that includes preventive education programs, mandatory reporting in EDs, and the adoption of screening tools such as the Finding Instrument for Non-accidental Deeds.

Purpose: : This retrospective study clarified the peripheral limb ischemiaincidence and examined the differences in demographic, clinical, and nursing care-related characteristics according to the presence of peripheral limb ischemia in intensive care unit (ICU) patients undergoing extracorporeal membrane oxygenation (ECMO) therapy. Methods: : Participants were 170 patients who received ECMO therapy at a university hospital over a 10-year period (January 2013 to December 2022). Data, including general, clinical, and nursing care characteristics, were collected from electronic medical records. Data analysis was conducted using descriptive statistics, independent t-tests, χ2-tests, and Fisher’s exact tests. Results: : Participants’ mean age was 57.49 years, 125 (73.5%) were male, and the average duration of ECMO therapy was 7.22 days. Among them, 75 (44.1%) patients developed peripheral limb ischemia. Significant differences were found between the groups with and without peripheral limb ischemia in mean arterial pressure (t=6.19, p ‹.001), vasopressor use (χ2=8.54, p =.003), anticoagulant use (χ2=15.01, p ‹.001), use of clotting factors (χ2=5.84, p=.016), presence of abdominal distension (χ2=8.97, p=.003), insertion site bleeding (χ2=8.14, p =.004), and laboratory values including white blood cell count (t=2.65, p =.009), hemoglobin (t=2.71, p =.008), platelet count (t=2.88, p =.004), creatine kinase (t=-4.47, p ‹.001), prothrombin time (t=-4.22, p ‹.001), international normalized ratio (t=-4.29, p ‹.001), and frequency of lower limb monitoring (t=5.57, p ‹.001). Conclusion : This study explored the clinical and nursing care-related characteristics associated with peripheral limb ischemia in ICU patients undergoing ECMO therapy. The findings provide evidence to support future research focusing on the early detection and proactive nursing interventions to prevent peripheral limb ischemia in this high-risk population.

Background and Objectives: Graves’ ophthalmopathy (GO) is an autoimmune inflammatory disorder that can adversely affect quality of life in patients with Graves’ disease (GD). The objective of this study was to characterize the clinical features of patients with GO and to identify risk factors associated with its development and the need for anti-inflammatory treatment. Materials and Methods: In this multicenter, retrospective observational study, 818 patients with GD were identified via electronic medical record review. Clinical characteristics were assessed, and logistic regression analyses were performed to identify risk factors for GO development and the need for anti-inflammatory treatment. Results: Among the 818 patients with GD, 135 (16.5%) developed GO, and 60 (7.3%) of these patients received anti-inflammatory treatment. GO was diagnosed at the time of GD diagnosis in 54.8% of cases, and proptosis and eyelid/orbital swelling were the common presenting features. In multivariable analysis, female sex (odds ratio [OR]: 1.75, confidence interval [CI]: 1.02-3.03), goiter (OR: 1.71, CI: 1.08-2.71), and smoking (ex-smokers: OR, 2.18; 95% CI: 1.02-4.65; current smokers: OR, 3.11; CI, 1.78-5.44) were independently associated with GO development, whereas diabetes (OR: 0.35, CI: 0.14-0.89) was inversely associated. Higher total cholesterol (OR: 1.31, CI: 1.01-1.04) and elevated thyrotropin-binding inhibitory immunoglobulin levels (OR: 1.07, CI: 1.02-1.11) were also significantly associated with the need for anti-inflammatory treatment. Conclusion This study delineated the clinical features of GO and identified risk factors for its development and the need for anti-inflammatory treatment in patients with GD, providing valuable information for the management of GO in Korean patients.

Background: Transthoracic echocardiography (TTE) requires time-intensive integration of quantitative measure‑ ments and qualitative visual assessment. Fully automated artificial intelligence (AI)-based analysis may reduce total analysis time while preserving accuracy, but systematic real-world validation remains limited. Methods: This prospective, single-center pilot study enrolled 40 TTE examinations. Identical deidentified DICOM datasets were independently provided to a trained cardiac sonographer and a fully automated AI system comprising quantitative and qualitative visual interpretation modules. All outputs were compared with a cardiologist-adjudicated reference standard. Primary endpoints were total analysis time and noninferiority of AI-derived left ventricular ejection fraction (LVEF) versus the reference standard, with a prespecified margin of 3 percentage points (one-sided α = 0.025). Results: Median analysis time was 94 s (interquartile range [IQR], 82–106 s) for the AI workflow versus 490 s (IQR, 438–626 s) for the human workflow (P < 0.001). AI-derived LVEF met the noninferiority criterion (mean difference, 0.00 percentage points; upper one-sided 95% confidence bound, 1.41 percentage points; P < 0.001), with an intraclass correlation coefficient (ICC) of 0.902 (95% confidence interval, 0.822–0.947). ICCs for secondary quantitative indi‑ ces ranged from 0.625 to 0.989. For aortic regurgitation severity grading, AI’s overall accuracy was 75.0% (quadratic weighted κ = 0.762), compared with 82.5% for human interpretation (κ = 0.812, McNemar P = 0.579). Conclusions Fully automated AI-assisted TTE analysis substantially reduced total analysis time while maintaining noninferior LVEF accuracy and acceptable performance across secondary quantitative and qualitative indices. These findings support the use of AI as a practical workflow accelerator in routine echocardiography.

Purpose: Prostate cancer ranks as the second most common cancer in men globally, representing a significant cause of cancer-related mortality. Metastasis, the spread of cancer cells from the primary site to distant organs, remains a major challenge in managing prostate cancer. Pyruvate dehydrogenase kinase 4 (PDK4) is implicated in the regulation of aerobic glycolysis, emerging as a potential player in various cancers. However, its role in prostate cancer remains unclear. This study aims to analyze PDK4 expression in prostate cancer cells and human samples, and to explore the gene's clinical significance. Materials and Methods: PDK4 expression was detected in cell lines and human tissue samples. Migration ability was analyzed using Matrigel-coated invasion chambers. Human samples were obtained from the Kyungpook National University Chilgok Hospital. Results: PDK4 expression was elevated in prostate cancer cell lines compared to normal prostate cells, with particularly high levels in DU145 and LnCap cell lines. PDK4 knockdown in these cell lines suppressed their invasion ability, indicating a potential role of PDK4 in prostate cancer metastasis. Furthermore, our results revealed alterations in epithelial-mesenchymal transition markers and downstream signaling molecules following PDK4 suppression, suggesting its involvement in the modulation of invasion-related pathways. Furthermore, PDK4 expression was increased in prostate cancer tissues, especially in castration-resistant prostate cancer, compared to normal prostate tissues, with PSA and PDK4 expression showing a significantly positive correlation. Conclusions PDK4 expression in prostate cancer is associated with tumor invasion and castration status. Further validation is needed to demonstrate its effectiveness as a therapeutic target.

Purpose: Patients experience severe physical trauma every year. However, studies on survivors’ experiences after severe injury are limited. Previous studies have mainly focused on time spans of trauma treatment. This study aimed to comprehensively explore survivors’ experiences to improve the current quality of trauma treatment and highlight the importance of patient-centered care. Materials and Methods: Structured, face-to-face interviews with six domains were conducted on survivors aged ≥18 years who were previously hospitalized in an intensive care unit due to traumatic injuries. Self-reported questionnaires were administered for a multidimensional assessment of participants’ conditions. Transcripts of each narrative were analyzed per grounded theory. Results: Fourteen participants were assessed. The median injury severity score was 25.5. The median elapsed time from injury to interview was 17.3 months. The physical and psychiatric difficulties of the participants remained unresolved even after completing rehabilitation. The main theme derived from the narratives were struggle with injury, consequences, and contributing factors, with the following subthemes: 1) suffering from injury and treatment, 2) psychological adaptation to the changed self and life after the accident, 3) significant family support, 4) gratitude to medical staff despite inadequacies in the healthcare system, and 5) legal and economic issues that impede recovery. Conclusion Increased efforts focusing on enabling survivors of severe injury to return to society and improve their quality of life are needed, including the establishment of patient-centered care in the trauma field, extended care for the survivors’ families, multidisciplinary treatment, and the collection of quantitative post-discharge data.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Background: The Food and Drug Administration (FDA), the European Medicines Agency (EMA), and the Ministry of Food and Drug Safety (MFDS) have been implementing the expedited programs that promote the innovative approval of new medications to be used for serious diseases. The authors comprehensively investigated, analyzed, and compared the regulations and guidelines associated with the expedited programs. Methods: The expedited programs for innovative drug development and approval were searched from the homepages of FDA, EMA and MFDS. The detailed information on the regulations and guidelines associated with the programs was comprehensively extracted from various electronic repositories of each regulatory authority. The informa-tion on each program was analyzed, categorized, and compared from the points of benefits, applicability with scientific rationale,application procedure, and maintenance. Results: FDA’s programs include Fast Track Designation, Breakthrough Therapy Designation, Priority Review Designation, and Accelerated Approval. EMA’s regulation implements PRIority MEdicines (PRIME), Accelerated Assessment, Marketing Authorization under Exceptional Circumstances (MAEC), and Conditional Marketing Authorization (CMA). MFDS has a single Expedited Program. These programs are broadly categorized into those that 1) facilitate early and proactive communication with regulatory authorities, 2) shorten the review time after submitting a marketing application, and 3) temporarily approve a marketing authorization under certain conditions. Conclusion Each expedited program requiresa different level and amount of safety and efficacy evidence to be submitted to each regulatory authority. This article will likely provide the comprehensive information on which program provides scientific and regulatory advantages to be taken for innova-tive medication development.

Purpose: Patients experience severe physical trauma every year. However, studies on survivors’ experiences after severe injury are limited. Previous studies have mainly focused on time spans of trauma treatment. This study aimed to comprehensively explore survivors’ experiences to improve the current quality of trauma treatment and highlight the importance of patient-centered care. Materials and Methods: Structured, face-to-face interviews with six domains were conducted on survivors aged ≥18 years who were previously hospitalized in an intensive care unit due to traumatic injuries. Self-reported questionnaires were administered for a multidimensional assessment of participants’ conditions. Transcripts of each narrative were analyzed per grounded theory. Results: Fourteen participants were assessed. The median injury severity score was 25.5. The median elapsed time from injury to interview was 17.3 months. The physical and psychiatric difficulties of the participants remained unresolved even after completing rehabilitation. The main theme derived from the narratives were struggle with injury, consequences, and contributing factors, with the following subthemes: 1) suffering from injury and treatment, 2) psychological adaptation to the changed self and life after the accident, 3) significant family support, 4) gratitude to medical staff despite inadequacies in the healthcare system, and 5) legal and economic issues that impede recovery. Conclusion Increased efforts focusing on enabling survivors of severe injury to return to society and improve their quality of life are needed, including the establishment of patient-centered care in the trauma field, extended care for the survivors’ families, multidisciplinary treatment, and the collection of quantitative post-discharge data.

Purpose: The authors aimed to identify the factors affecting interhospital transfer (“transfer”) of severe pediatric patients who visited to an emergency department (ED). Methods: Using the Korean National ED Information System, we analyzed high-acuity patients aged 18 years or younger who visited EDs of local or regional emergency centers nationwide. The high acuity was defined as a Korean Triage and Acuity Scale 1-2. To investigate the factors associated with transfer, a multilevel modeling was selected, examining independent variables at both individual- and hospital-levels with transfer as a dependent variable. Results: A model consisting of variables at individual- and hospital-levels showed the factors as follows: mode of arrival(self-transport: odds ratio, 0.48 [95% confidence interval, 0.38-0.61]; other ambulances: 0.41 [0.24-0.71]; compared with firehouse ambulance), visit at 18:00-07:59 (0.75 [0.64-0.88]), intentional injury (1.59 [1.03-2.47]; compared with non-injury), decreased level of consciousness (drowsy: 1.94 [1.33-2.84]; stupor: 4.08 [2.99-5.57]; coma: 1.81 [1.26-2.60]; compared with alert), severe illness diagnosis (1.49 [1.12-1.98]), the number of all beds in EDs (1.02 [1.01-1.04]), and acceptance for treatment (0.92 [0.87-0.98]; with increment of 1%). Conclusion This study confirms that both individual-level and hospital-level factors affect the transfer risk of severe pediatric patients in EDs. The study suggests the needs for direct transportation to specialized pediatric treatment facilities, and concentrated support for the pediatric emergency medical centers and pediatric trauma centers.