Objective: To investigate prevalence of BLV and its association with hematological alterations in targeted dairy farms experiencing productivity issues in Korea. Methods: This study investigated five dairy farms reporting decreased milk yield, recurrent mastitis, poor conception rates, and delayed postpartum recovery. Eighty lactating cows underwent physical examination, body condition scoring, hematological and biochemical analyses, and polymerase chain reaction testing for BLV. Results: Overall BLV detection rate among these herds was 70% (56/80), with intra-herd positivity ranging from 57.1 to 90.0%. Lymphocytosis was observed in 31% of the cows.Multivariable generalized estimating equations analysis confirmed that higher lymphocyte counts were the strongest independent predictor of BLV status (adjusted odds ratio, 2.70;p = 0.005), demonstrating a robust association between hematological alterations and BLV positivity. Conclusions and Relevance: BLV infection is highly prevalent in the investigated Korean dairy farms with productivity problems. While these results may not represent the nationwide average due to selection bias, they emphasize the need for nationwide BLV surveillance and implementation of control measures in Korea.

Background: Research on the relationship between the progression of interstitial lung abnormalities (ILA) and serum biomarkers, including white blood cell differential counts and Krebs von den Lungen-6 (KL-6), is limited. This study aimed to examine the clinical characteristics of patients with ILA and evaluate the association between disease progression and serum biomarkers. Methods: This retrospective cohort study analyzed data from 159 patients (63 with ILA and 74 with interstitial lung diseases) between October 2021 and September 2022. Data collected included clinical characteristics, pulmonary function tests, chest computed tomography (CT), complete blood cell counts, and KL-6 levels. In 52 of these patients who had previously undergone chest CT, the utility of serum biomarkers in reflecting radiologic progression was assessed using receiver operating characteristic curve analysis. Results: Patients with ILA exhibited clinical characteristics similar to those with idiopathic pulmonary fibrosis. Serum KL-6 levels did not correlate with forced vital capacity or diffusing capacity of the lung for carbon monoxide in patients with ILA. Among the 52 patients with ILA, 13 demonstrated radiologic progression. Serum KL-6 displayed moderate predictive performance, with area under the curves ranging from 0.57 to 0.89 (p=0.014) for radiologic progression. Levels of KL-6 greater than 400 U/mL were more frequently observed in patients with radiologic progression (61.5% vs. 20.5%, p=0.006). In multivariate analysis, age and KL-6 were independently associated with radiologic progression in patients with ILA. Conclusion Serum KL-6 levels may serve as a potential indicator of ILA progression in asymptomatic patients. Those with KL-6 levels exceeding 400 U/mL should be closely monitored for radiologic progression.

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.

Objectives: People-centered care and social protection are critical for improving tuberculosis (TB) treatment outcomes. This study aimed to evaluate whether a vulnerability assessment tool, developed for an enhanced community-based care and management (ECCM) program in 2 Korean cities, could predict and improve final TB treatment outcomes based on patients’ vulnerability levels. Methods: Treatment outcomes in the ECCM group were compared with those in a control group, stratified by vulnerability level. During stage 1, one city served as the intervention region and the other as the control, with a crossover in stage 2. The vulnerability assessment included all notified patients with TB, and those identified as highly vulnerable in the intervention group received social support following a consultation with a case manager. Results: The vulnerability assessment tool demonstrated moderate predictive ability for unfavorable outcomes, with an area under the curve of 0.70 (95% confidence interval, 0.63 to 0.77). The patients with high vulnerability who received ECCM treatment demonstrated a 19.8-percentage point (%p) higher treatment success rate than the high vulnerability subcategory of the control group. ECCM also appeared to reduce loss to follow-up and TB-related mortality by 8.4%p and 7.3%p, respectively, although these findings should be interpreted with caution. Conclusions The results suggest that providing social support tailored to patient vulnerability at the time of diagnosis could improve TB treatment outcomes.

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.

Objectives: People-centered care and social protection are critical for improving tuberculosis (TB) treatment outcomes. This study aimed to evaluate whether a vulnerability assessment tool, developed for an enhanced community-based care and management (ECCM) program in 2 Korean cities, could predict and improve final TB treatment outcomes based on patients’ vulnerability levels. Methods: Treatment outcomes in the ECCM group were compared with those in a control group, stratified by vulnerability level. During stage 1, one city served as the intervention region and the other as the control, with a crossover in stage 2. The vulnerability assessment included all notified patients with TB, and those identified as highly vulnerable in the intervention group received social support following a consultation with a case manager. Results: The vulnerability assessment tool demonstrated moderate predictive ability for unfavorable outcomes, with an area under the curve of 0.70 (95% confidence interval, 0.63 to 0.77). The patients with high vulnerability who received ECCM treatment demonstrated a 19.8-percentage point (%p) higher treatment success rate than the high vulnerability subcategory of the control group. ECCM also appeared to reduce loss to follow-up and TB-related mortality by 8.4%p and 7.3%p, respectively, although these findings should be interpreted with caution. Conclusions The results suggest that providing social support tailored to patient vulnerability at the time of diagnosis could improve TB treatment outcomes.

Objectives: People-centered care and social protection are critical for improving tuberculosis (TB) treatment outcomes. This study aimed to evaluate whether a vulnerability assessment tool, developed for an enhanced community-based care and management (ECCM) program in 2 Korean cities, could predict and improve final TB treatment outcomes based on patients’ vulnerability levels. Methods: Treatment outcomes in the ECCM group were compared with those in a control group, stratified by vulnerability level. During stage 1, one city served as the intervention region and the other as the control, with a crossover in stage 2. The vulnerability assessment included all notified patients with TB, and those identified as highly vulnerable in the intervention group received social support following a consultation with a case manager. Results: The vulnerability assessment tool demonstrated moderate predictive ability for unfavorable outcomes, with an area under the curve of 0.70 (95% confidence interval, 0.63 to 0.77). The patients with high vulnerability who received ECCM treatment demonstrated a 19.8-percentage point (%p) higher treatment success rate than the high vulnerability subcategory of the control group. ECCM also appeared to reduce loss to follow-up and TB-related mortality by 8.4%p and 7.3%p, respectively, although these findings should be interpreted with caution. Conclusions The results suggest that providing social support tailored to patient vulnerability at the time of diagnosis could improve TB treatment outcomes.

The purpose of this study was to identify predisposing, precipitating, and environmental factors related to the severity of delirium among older adults in a neurologic intensive care unit (ICU) based on the clinical practice guideline. Methods: A retrospective study was conducted using electronic medical record data from 945 older adults admitted to the neurological ICU at a tertiary hospital in Seoul, South Korea from January 2020 to July 2023. Delirium and subsyndromal delirium were evaluated using the Intensive Care Delirium Screening Checklist. Statistical analyses were performed using one-way ANOVA, χ2 tests, and multinominal logistic regression using the SPSS/WIN 26.0 program. Results: Compared with the normal group, a multinominal analysis revealed factors significantly associated with both delirium and subsyndromal delirium, including physical function, the length of ICU stay, dexmedetomidine use, anticonvulsants use, and physical restraints. However, compared to the normal group, ICU stay emerged as the most strongly related factor to delirium, whereas physical function was identified as the most significant factor related to subsyndromal delirium. These findings suggest that factors associated with delirium vary by its severity. Conclusion: Understanding the factors associated with delirium and subsyndromal delirium is crucial for clinicians. Pre-classification of high-risk groups based on the delirium severity among critically ill older adults is essential for providing high-quality delirium prevention.

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.

Purpose: To identify the optimal photobiomodulation (PBM) parameters using molecular, histological, and erectile function analysis in cavernous nerve injury. Materials and Methods: A cavernous nerve injury was induced in 8-week-old C57BL/6J male mice that were subsequently divided randomly into age-matched control groups. Erectile function tests, penile histology, and Western blotting were performed 2 weeks after surgery and PBM treatment. Results: The PBM treatment was administered for five consecutive days with a light-emitted diode (LED) device that delivers 660 nm±3% RED light, and near infra-red 830 nm±2% promptly administered following nerve-crushing surgery and achieved a notable restoration of erectile function approximately 90% of the control values. Subsequent in-vitro and ex-vivo analyses revealed the regeneration of neurovascular connections in both the dorsal root ganglion and major pelvic ganglion, characterized by the sprouting of neurites. Furthermore, the expression levels of neurotrophic, survival, and angiogenic factors exhibited a substantial increase across all groups subjected to PBM treatment. Conclusions The utilization of PBM employing LED with 660 nm, 830 nm, and combination of both these wavelengths, exhibited significant efficacy to restore erectile function in a murine model of cavernous nerve injury. Thus, the PBM emerges as a potent therapeutic modality with notable advantages such as efficacy, noninvasiveness, and non-pharmacological interventions for erectile dysfunction caused by nerve injury.