Older adults living alone face challenges in managing diabetes, yet research on glycemic control in this group is limited. This study analyzed data from the Korean National Health and Nutrition Examination Survey (2016~2021) to identify factors associated with glycemic control in 453 older adults with diabetes living alone. Methods: Glycemic control was categorized as good (glycated hemoglobin [HbA1c]<7.0%) or poor (HbA1c≥7.0%). Complex sample logistic regression examined demographic, disease and health-related, behavioral, and psychological factors associated with glycemic control. Results: Older adults aged ≥80 years had better glycemic control than those aged 65~69 years, while a diabetes duration of ≥15 years and higher body mass index were linked to poorer control. Strength training 5~7 days per week was associated with better control, whereas non-adherence to a healthy diet was unexpectedly linked to better outcomes. Conclusion: These findings highlight the need for tailored interventions to improve diabetes self-management and support healthy aging among older adults living alone. They also offer practical insights into shaping community-based health programs and social support systems for this population.

Burning mouth syndrome remains a frequent source of diagnostic delay, repeated consultations, and fragmented care because it has long been treated as a “diagnosis of exclusion.” Recent updates in orofacial pain classification and research diagnostic frameworks support a practical shift: from an exclusionary label toward a structured diagnostic algorithm and staged, phenotype-guided management. This narrative, algorithm-focused clinical review aims to summarize clinically actionable evidence and to propose a “minimum sufficient workup” that prioritizes safety, efficiency, and patient-centered communication.We first outline pragmatic diagnostic criteria and key symptom patterns, then integrate current concepts of mixed mechanisms—peripheral neuropathic features, centralociplastic amplification, and psychosocial modulators—that account for symptom fluctuation and discordance between symptom severity and objective findings. The core of this review is a one-page stepwise algorithm: (1) confirm chronicity and absence of visible mucosal disease, (2) screen for red flags requiring urgent evaluation, (3) address common local contributors (e.g., candidiasis, irritants, contact allergy, xerostomia), (4) perform a targeted systemic/medication/deficiency panel, and (5) phenotype patients to guide staged treatment choices and follow-up. Finally, we provide a practical management framework emphasizing education, trigger control, and individualized combinations of topical, systemic, and behavioral interventions with predefined reassessment intervals. Future priorities include phenotype-stratified randomized trials and implementation outcomes that quantify reductions in diagnostic delay, misdiagnosis, and unnecessary testing.

In forensic medicine, age estimation commonly involves assessing age-related changes in teeth and skeletal structures. Vertebral morphological alterations, such as osteophyte formation, serve as age indicators. Recent studies using deep-learning techniques, such as neural networks, for age estimation from radiographic images have been conducted, reporting significantly higher accuracy than previous studies. This study aimed to estimate age using neural network-based deep-learning techniques applied to computed tomography (CT) cross-sectional images of the spine and evaluate its feasibility. Postmortem CT scans of 214 cadavers with varying decomposition levels were used. Coronal and sagittal cross-sectional images penetrating the center of each vertebral body were extracted for the 11th and 12th thoracic vertebrae and the first to fifth lumbar vertebrae. Using these images, along with the chronological ages of deceased individuals, an age estimation model was developed through regression analysis in PyTorch, employing a convolutional neural networks architecture with five-fold cross-validation. The model achieved a mean absolute error of 5.385 years, root mean squared error of 7.029 years, and coefficient of determination of 0.793. Although the sample size was relatively small, the results suggested the potential applicability of vertebral imagingbased age estimation in the Korean population. Further research using a larger dataset may improve the accuracy and reliability of the model.

Necrotizing fasciitis (NF) is a rapidly progressive, life-threatening soft tissue infection that rarely involves the periorbital region. We report an unusual case of periorbital NF caused by methicillin-sensitive Staphylococcus aureus (MSSA) in a previously healthy 48-year-old woman, originating from a neglected, recurrent hordeolum—an otherwise benign eyelid condition. The infection resulted in an extensive fullthickness defect of the upper eyelid and adjacent temporal area, presenting major reconstructive challenges. Reconstruction was performed using a radial forearm free flap combined with a buccal mucosal graft to restore both anterior and posterior lamellae, achieving functional eyelid protection and improved visual acuity. This case highlights the potential for seemingly minor, recurrent eyelid infections to progress rapidly to devastating NF even in the absence of systemic symptoms or risk factors. Early recognition and multidisciplinary management were critical to preventing further morbidity. To our knowledge, MSSA has not previously been reported as a causative agent of periorbital NF, underscoring the need for clinical vigilance and timely intervention in common eyelid conditions to avoid catastrophic complications.

Rheumatoid arthritis (RA) is a chronic, systemic autoimmune disease primarily targeting the joints, leading to progressive inflammation, joint damage, and functional impairment. The pathogenesis of RA involves a complex interplay of genetic predisposition and environmental factors, such as smoking, which together drive the dysregulated activation of both the innate and adaptive immune systems. The introduction of disease-modifying antirheumatic drugs marked a pivotal advancement in RA management, transforming the disease from a debilitating chronic condition into a treatable disorder. Ongoing progress in basic and clinical research has identified novel therapeutic targets, paving the way for precision medicine tailored to individual patient needs, with the ultimate goal of achieving long-term remission. This review outlines current treatment options and summarizes key treatment guidelines established by major rheumatology societies. Additionally, it highlights emerging therapies, including selective glucocorticoid receptor modulators, and Bruton’s tyrosine kinase inhibitors, and epigenetic modulators. Finally, novel cell-based therapies, such as chimeric antigen receptor T cells and T cell engagers, which hold the potential to enable durable, drug-free remission.These current and emerging treatments will help further optimize RA management and improve patient outcomes.

Objectives: Cyberbullying is a modern form of violence involving intentional harassment through electronic devices. We aimed to investigate how psychological characteristics differ based on cyberbullying involvement, identify the psychological factors associated with cyberbullying, and examine whether these factors vary by gender. Methods: A survey was conducted with 449 middle school students in Cheongju, Korea. Participants were categorized into four groups based on their involvement: Neither (N), Victim (V), Perpetrator (P), and Victim-Perpetrator (VP). Psychological characteristics were assessed using the Beck Depression Inventory (BDI), Self-Esteem Scale, and Strengths and Difficulties Questionnaire (SDQ). We compared these characteristics across the four groups and examined their influence on cyberbullying involvement by gender. Results: Overall, 31.8% of participants were involved in cyberbullying, with the VP group being the largest (17.1%) among them. The VP group exhibited more severe psychopathology than the N group across most internalizing and externalizing problems. SDQ-Conduct Problems subscale scores were significantly associated with victimization and perpetration. For female participants, high SDQEmotional Symptoms subscale scores were associated with greater victimization, and high BDI scores increased the risk of belonging to the VP group. No variables significantly increased the risk of belonging to the VP group among male participants. Conclusion Adolescents who are both victims and perpetrators of cyberbullying face the most significant psychological difficulties.Factors associated with cyberbullying involvement vary by gender, highlighting the need for tailored gender-specific prevention and intervention strategies.

Objective: General weakness is a common symptom in elderly patients (≥65 years), but it is difficult to evaluate. This study focused on the characteristics of elderly patients presenting to the emergency department (ED) with general weakness after the coronavirus disease 2019 (COVID-19) pandemic. Methods: A retrospective study was conducted to analyze the medical records of 308 elderly patients (≥65 years) who visited the ED from June 2023 to November 2023. This study examined whether factors, including nursing facilities, economic status, and neurodegenerative diseases (NDDs), have different influences on the characteristics of general weakness and performed tests. Results: Poor oral intake and nonspecific weakness accounted for the majority of accompanying symptoms. The symptoms, diagnosis, admission, and the number of imaging tests were similar regardless of the nursing facilities or home, NDDs, or economic status. Infections other than COVID-19 accounted for 31.2%, with pneumonia and urinary tract infections being the most common. COVID-19 accounted for 10.7%. Brain imaging tests, including computed tomography (CT) and magnetic resonance imaging, were performed within 39.9% of patients. Chest or abdominal CT was performed in 45.8% of patients. The infection rate, except for COVID-19, was higher in patients from nursing facilities, while the COVID-19 rate in the two groups was similar (P=0.005). A more aggressive brain imaging test was conducted in patients with NDDs (P=0.04). Conclusion After the COVID-19 pandemic, infections other than COVID-19, especially pneumonia and urinary tract infection, were the most common medical causes of general weakness in the elderly, followed by COVID-19. The proportion of COVID-19 as a cause of general weakness was similar between groups.

Purpose: Radiotherapy (RT) remains a cornerstone of curative treatment for localized and locally advanced prostate cancer. However, dose escalation to improve tumor control is often constrained by the proximity of the rectum, which increases the risk of gastrointestinal (GI) and genitourinary toxicities. Biodegradable rectal spacers inserted between the prostate and rectum have emerged as an effective approach to reduce rectal radiation exposure. This guideline provides evidence-based recommendations on indications, contraindications, procedural standards, and clinical management for biodegradable rectal spacer insertion during prostate cancer RT. Materials and Methods: This guideline was developed by a multidisciplinary expert panel through a systematic review of the literature, analysis of international guidelines (National Comprehensive Cancer Network, European Association of Urology, American Society for Radiation Oncology), and expert consensus among radiation oncologists, radiologists, and urologists with clinical experience in spacer insertion. The strength of each recommendation and the level of evidence were classified according to the modified GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) system. Results: Spacer insertion is conditionally recommended (Grade C, Level I) for patients receiving definitive external-beam RT without rectal invasion. It reduces the high-dose rectal irradiation volume (V70–75) by >50%, decreases acute GI toxicity, and helps maintain bowel-related quality of life. However, the benefit for late severe toxicity (grade 2 or higher) remains debated in recent meta-analyses. Contraindications include rectal invasion, anatomical inaccessibility, infection, and material hypersensitivity. Procedures should be performed under local anesthesia in a sterile environment by trained physicians. Short-course antibiotics and simulator-based training, including completion of multiple supervised cases, are advised. Conclusion Biodegradable rectal spacer insertion is clinically validated and effective in reducing acute rectal toxicity. Although pivotal trials demonstrated a favorable procedural safety profile, real-world postmarket data include reports of rare but severe procedural complications. This guideline provides standardized recommendations tailored to Korean clinical practice while remaining consistent with international standards, emphasizing the importance of operator training and careful patient selection.

Objectives: Large language models (LLMs) demonstrate remarkable potential in healthcare communication. However, whether they can process complex, high-volume medical information, such as stroke-related content, remains insufficiently validated. This study aimed to evaluate the natural language processing capabilities of LLMs in handling such content and to develop an evaluation instrument. Methods: A survey compared educational materials generated by two LLMs (ChatGPT 4.0 and Claude 3) with neurologist-authored content on stroke. The materials were based on two clinical scenarios representing distinct stroke etiologies: cardioembolism and large-artery atherosclerosis. They were evaluated in terms of accuracy, legality, ethics, comprehensiveness, and information delivery. Scores for comprehensiveness and information delivery were compared according to participants’ agreement with the use of LLMs in healthcare. Results: ChatGPT received the highest scores across all domains, except for legality in Scenario 2. In Scenario 1, the ranking for accuracy and summarization of clinical information was, from highest to lowest, ChatGPT, Claude, and the neurologist (η2 = 0.140, p < 0.001; η2 = 0.175, p < 0.001). The same hierarchy was observed in Scenario 2 for accuracy (η2 = 0.077, p < 0.001) and summarization (η2 = 0.194, p < 0.001). Participants who agreed with the use of LLMs in healthcare assigned higher scores for the comprehensiveness (Scenario 1, p = 0.005; Scenario 2, p = 0.007) and information delivery (Scenario 1, p = 0.003; Scenario 2, p = 0.026) of ChatGPT-generated materials than participants who did not agree. Conclusions LLMs demonstrated adequate capability to convey complex content, such as stroke-related information, in an accessible and understandable manner for non-experts.