Purpose: We aimed to compare broad-spectrum antibiotic use between hospice and nonhospice patients with cancer at the end of life using nationwide data from Korea. Methods: In this retrospective cohort study, we analyzed the Korean National Health Insurance Service data of adult patients with cancer who died between 2018 and 2021. Hospice users were defined as patients who received inpatient, home-based, or consultation-based hospice care before death. We applied propensity score matching (1:2) to balance the baseline characteristics of the hospice and non-hospice groups. Broad-spectrum antibiotic use, including anti-pseudomonal penicillins, anti-pseudomonal cephalosporins, carbapenems, and glycopeptides, was assessed during the last 3 months of life using prescription proportions and days of therapy per 1,000 patient-days. Results: After matching, 38,102 hospice and 75,736 non-hospice users were analyzed. During the last 3 months of life, 74.6% of hospiceand 79.0% of non-hospice users received at least one broad-spectrum antibiotic (P＜0.001).The proportion of patients receiving broad-spectrum antibiotics was generally lower amonghospice users across all time intervals (P＜0.001), and the number of days of therapy wasalso lower, with the largest differences observed during the final week and last 3 days of life.Subgroup analyses showed the highest antibiotic exposure among patients with hematologic and pancreatobiliary cancers, particularly in the non-hospice group. Conclusion Hospice involvement was associated with lower use and reduced exposure to broad-spectrum antibiotics among patients with cancer near the end of life. These findings support the alignment of end-of-life treatment decisions with the comfort-oriented goals of hospice care.

Purpose: This study evaluated the clinical outcomes and prognostic factors in patients with borderline resectable pancreatic cancer (BRPC) and locally advanced pancreatic cancer (LAPC) treated with upfront FOLFIRINOX followed by local-regional therapy (LRT), surgical resection (SR), and radiotherapy (RT). We aimed to identify specific patient subgroups for which RT may serve as a reasonable alternative to SR for local tumor control. Methods: We retrospectively analyzed 116 patients (SR group, n= 70; RT group, n= 46) at a single center between 2015 and 2020. Survival outcomes were compared based on LRT modalities, focusing on identifying subgroups in which RT provided an efficacy comparable to that of SR. Results: Among 116 patients, the SR group achieved a significantly higher 5-year overall survival (OS) than the RT group (27.1% vs. 8.7%, P< 0.0001), despite similar progression-free survival (P= 0.23). Significant prognostic factors for OS included carbohydrate antigen 19-9 (CA19-9) response in BRPC (P= 0.02) and radiologic partial response in LAPC (P= 0.05). Subgroup analysis revealed that, while SR provided a survival advantage in CA19-9 responders, no significant difference in OS was observed between SR and RT in CA19-9 non-responders (P= 0.37). Conclusion Although surgery remains the gold standard, RT may be considered a justifiable local alternative for CA19-9 non-responders and surgically ineligible patients with LAPC, yielding comparable outcomes in these specific, biologically unfavorable subgroups.

Machine learning (ML) is currently being widely studied and applied in data analysis and prediction in various fields, including laboratory medicine. To comprehensively evaluate the application of ML in laboratory medicine, we reviewed the literature on ML applications in laboratory medicine published between February 2014 and March 2024. A PubMed search using a search string yielded 779 articles on the topic, among which 144 articles were selected for this review. These articles were analyzed to extract and categorize related fields within laboratory medicine, research objectives, specimen types, data types, ML models, evaluation metrics, and sample sizes. Sankey diagrams and pie charts were used to illustrate the relationships between categories and the proportions within each category. We found that most studies involving the application of ML in laboratory medicine were designed to improve efficiency through automation or expand the roles of clinical laboratories. The most common ML models used are convolutional neural networks, multilayer perceptrons, and tree-based models, which are primarily selected based on the type of input data. Our findings suggest that, as the technology evolves, ML will rise in prominence in laboratory medicine as a tool for expanding research activities. Nonetheless, expertise in ML applications should be improved to effectively utilize this technology.

D-dimer testing has long been established as a cornerstone in the diagnostic evaluation of suspected venous thromboembolism (VTE), offering a high negative predictive value when combined with clinical probability assessment. However, its performance and interpretation remain challenging in real-world practice, particularly among patients with high baseline thrombotic risk or a history of previous deep vein thrombosis (DVT). This review summarizes recent advances and practice patterns concerning Ddimer-based diagnostic algorithms, with an emphasis on their application in complex clinical settings. Recent evidence demonstrates that D-dimer retains diagnostic value in low- and intermediate-probability patients but loses specificity in the presence of active malignancy, postoperative inflammation, or chronic vascular disease. In individuals with prior DVT, baseline elevation and residual thrombus often lead to false-positive results, underscoring the need for integrated diagnostic strategies combining D-dimer testing with compression ultrasonography and validated clinical scores. Despite the availability of refined approaches, such as age-adjusted or pretest-probability-adjusted thresholds, their implementation in routine care remains limited. Real-world data reveal frequent test overuse, variable assay interpretation, and inconsistent adherence to guidelinerecommended diagnostic pathways. Understanding these limitations and contextual factors is essential to enhance diagnostic precision and resource utilization. Future directions include improved algorithm adherence through electronic decision-support systems, harmonization of assay reporting standards, and further validation of D-dimer– based models in diverse patient populations.

Venous thromboembolism (VTE), encompassing deep vein thrombosis and pulmonary embolism, remains a major cause of morbidity and mortality. In carefully selected patients, evaluation for inherited or acquired thrombophilia can offer valuable insights for individualized management and recurrence prevention. Current international guidelines recommend targeted thrombophilia testing only in cases of unprovoked or recurrent VTE, early-onset disease, strong family history, or thrombosis at unusual sites.Clinically relevant tests include Factor V Leiden, Prothrombin G20210A, and deficiencies of antithrombin, protein C, and protein S, as well as antiphospholipid antibodies. The prevalence and clinical impact of inherited thrombophilias differ across populations;mutations such as Factor V Leiden and Prothrombin G20210A are rare in East Asians, whereas natural anticoagulant deficiencies and antiphospholipid syndrome are more significant. Thrombophilia testing should therefore be individualized and guided by clinical context, ensuring that results meaningfully influence management decisions.Recognition of ethnic variation and adherence to evidence-based diagnostic strategies can enhance precision in the prevention and treatment of VTE.

Purpose: : In this study, we aimed to identify factors influencing the inpatient satisfaction in integrated nursing care service wards. Methods: : Using data from the 2020 and 2021 healthcare service experience surveys conducted by the Ministry of Health and Welfare, this study analyzed a weighted sample of 416,020 participants using descriptive statistics, pairedt-test, Pearson’s correlation, and multiple linear regression analyses. Results: : Inpatient satisfaction in integrated nursing care service wards was most significantly affected by the experiences with nursing services and perceived health status, followed by experiences with doctor services, length of hospitalization, age, experiences with medical institution services, education level, gender, presence of chronic diseases, type of hospital, and occupation. Most significant positive impacts were associated with experiences with nursing and doctor services, especially in general hospitals and high-level facilities, among males and elderly patients ＞ 60 years old. In contrast, high education level, presence of chronic diseases, and unemployment were associated with low inpatient satisfaction. Conclusion : Effective programs and guidelines must be developed and implemented to expand and promote the integrated nursing care and medical services and overall utilization of healthcare institutions, with a special focus on person-centered care.

Background: Despite the distinctly high risk of suicide among patients with psychiatric disorders, little is known regarding the nationwide rates and risk factors for suicide among individual subgroups of patients with psychiatric disorders. This study aimed to assess differences in suicide rates and identify risk factors for suicide across multiple psychiatric diseases using data from a nationally representative cohort in Korea. Methods: Six groups of incident patients with psychiatric disorders, namely those with drug use disorder (DUD), alcohol use disorder (AUD), schizophrenia (SCZ), bipolar disorder (BD), depressive disorder (DD), or other affective disorders (OADs), were extracted from the National Health Information Database and followed up. Suicide rates and risk factors were then determined for each disease group. Results: Patients with psychiatric disorders had higher suicide rates than did the general population, with standardized mortality ratios (SMRs) ranging from 2.5 to 16.6. In particular, patients with DUD showed markedly higher suicide rate (584.0 per 100,000 person-years [PYs]; SMR, 16.6) than did patients with affective disorders, including DD (119.8 per 100,000 PYs; SMR, 3.1). AUD, DUD, SCZ, and BD showed lower male/female suicide rate ratios (1.1–1.4) than did depressive and OADs (2.2–2.4). Old age increased the risk for suicide among those with DUD and OADs, while medical aid recipients exhibited the lowest suicide risk among those with the AUD and SCZ. Male sex and the presence of multiple psychiatric comorbidities were consistently identified as suicide risk factors across mental illness subgroups. Conclusion The current study observed substantial variations in suicide rates and risk factors across psychiatric disorders and patient characteristics, which have significant implications for suicide prevention strategies.

Objectives: This study aimed to investigate the risk of osteoarthritis associated with menopausal hormone therapy (MHT). Methods: This population-based retrospective cohort study used a database of Korean health insurance claims (2007–2020). Females aged ≥ 40 who initiated menopause-related healthcare visits between 2011 and 2014 were identified. The MHT group comprised females aged ≥ 40 who initiated MHT for ≥ 6 months during this period. The non-MHT group comprised females aged ≥ 40 who attended menopause-related healthcare visits but did not receive MHT. To account for potential confounding factors, the two groups were matched at a 1:1 ratio using propensity score matching. Results: A cohort of 453,040 postmenopausal females aged ≥ 40 years was identified, with 26,354 assigned to either the MHT or nonMHT group after propensity matching. The median age was 49 years, and the median follow-up was 8.2 years. The Cox proportional hazards model demonstrated an elevated risk of osteoarthritis with MHT (hazard ratio [HR], 1.154; 95% confidence interval [CI], 1.117–1.193) for knee (HR, 1.148; 95% CI, 1.102–1.195) and other arthritis (HR, 1.205; 95% CI, 1.151–1.261), although not statistically significant for hip arthritis. Tibolone (HR, 1.211; 95% CI, 1.161–1.263), estrogen–progestogen therapy (EPT) (HR, 1.092; 95% CI, 1.048– 1.137), and estrogen therapy (ET) (HR, 1.235; 95% CI, 1.148–1.329) were associated with a higher risk of osteoarthritis compared to nonMHT users. Conclusions MHT was associated with an increased risk of osteoarthritis, consistently observed across tibolone, EPT, and ET, particularly affecting joints other than the hip, with a trend toward an elevated risk of hip osteoarthritis.

Objective: Automated breast ultrasound (ABUS) is a relevant imaging technique for early breast cancer diagnosis and is increasingly being used as a supplementary tool for mammography. This study compared the performance of ABUS and handheld ultrasound (HHUS) in detecting and characterizing the axillary lymph nodes (LNs) in patients with breast cancer. Materials and Methods: We retrospectively reviewed the medical records of women with recently diagnosed early breast cancer (≤ T2) who underwent both ABUS and HHUS examinations for axilla (September 2017–May 2018). ABUS and HHUS findings were compared using pathological outcomes as reference standards. Diagnostic performance in predicting any axillary LN metastasis and heavy nodal-burden metastases (i.e., ≥ 3 LNs) was evaluated. The ABUS-HHUS agreement for visibility and US findings was calculated. Results: The study included 377 women (53.1 ± 11.1 years). Among 385 breast cancers in 377 patients, 101 had axillary LN metastases and 30 had heavy nodal burden metastases. ABUS identified benign-looking or suspicious axillary LNs (average, 1.4 ± 0.8) in 246 axillae (63.9%, 246/385). According to the per-breast analysis, the sensitivity, specificity, positive and negative predictive values, and accuracy of ABUS in predicting axillary LN metastases were 43.6% (44/101), 95.1% (270/284), 75.9% (44/58), 82.6% (270/327), and 81.6% (314/385), respectively. The corresponding results for HHUS were 41.6% (42/101), 95.1% (270/284), 75.0% (42/56), 82.1% (270/329), and 81.0% (312/385), respectively, which were not significantly different from those of ABUS (P ≥ 0.53). The performance results for heavy nodal-burden metastases were 70.0% (21/30), 89.6% (318/355), 36.2% (21/58), 97.3% (318/327), and 88.1% (339/385), respectively, for ABUS and 66.7% (20/30), 89.9% (319/355), 35.7% (20/56), 97.0% (319/329), and 88.1% (339/385), respectively, for HHUS, also not showing significant difference (P ≥ 0.57). The ABUS–HHUS agreement was 95.9% (236/246; Cohen’s kappa = 0.883). Conclusion Although ABUS showed limited sensitivity in diagnosing axillary LN metastasis in early breast cancer, it was still useful as the performance was comparable to that of HHUS.

BACKGROUND/OBJECTIVES: The prevalence of hypertension is increasing, and noodles have a high sodium content, so noodle consumption might be associated with a higher prevalence of hypertension. This study aimed to analyze the association between total and types of noodle intake and the risk of hypertension among Korean adults. Subjects aged 40–69 years were selected for this study. SUBJECTS/METHODS: This study included 56,580 participants (18,246 men and 38,334 women) aged 40–69 years old from the Health Examinees study. Noodle and nutrient intakes were assessed using the food frequency questionnaire. Hypertension was diagnosed as systolic blood pressure ≥ 140 mmHg and/or diastolic blood pressure ≥ 90 mmHg or antihypertensive medication use. Cox proportional hazard models were used to calculate the hazard ratio (HR) and 95% confidence interval (CI) for hypertension. RESULTS: Higher noodle consumption was associated with increased hypertension among men (HR, 1.273; 95% CI, 1.166–1.390) and women (HR, 1.116; 95% CI, 1.038–1.199). CONCLUSION We recommended reducing noodle intake and consuming vegetables and fruits to increase potassium intake, which can prevent vascular diseases.