Background: Many smart care technologies have been developed recently, but it remains unclear which of them are necessary for use in long-term care hospitals (LTCHs). Methods: A total of 114 physicians, registered nurses (RNs), nurse assistants (NAs), and care assistants (CAs) from eight LTCHs completed a survey assessing perceived needs for 10 smart care technologies using 5-point Likert scales. One-sample t-tests, one-way ANOVA with Scheffé post-hoc tests, Friedman tests, and simple linear regression were used to examine differences by occupation and hospital characteristics. Additionally, focus group interviews with 10 participants were done. Results: Mean perceived need for smart care technologies was 3.99, with the highest ratings for smart mattresses (4.14), all-in-one patient transfer robots (4.09), and smart monitoring systems (4.06). Regarding the most preferred by occupation, physicians chose smart monitoring systems (4.19) and leg-care devices (4.19), RNs chose smart mattresses (4.11), NAs chose radar-based fall detection devices (4.22), and CAs chose all-in-one patient transport robots (4.36). Perceived need for smart care technologies was higher in LTCHs with lower monthly family fees and in those without a rehabilitation service, explaining 42.8% and 10.8% of the variability, respectively. Conclusion Smart care technologies were seen as necessary in LTCHs, but the types of technologies considered most important differed by occupational role and hospital characteristics.

Background: Rural areas in Korea are experiencing both super-aging and depopulation, creating critical gaps in health and social care. Using a citizen participatory approach, we sought to address the care gaps for older adults in rural areas. This study examined the changes in frailty and depressive symptoms observed during a citizen-led intervention. Methods: This study is a single- arm pre–post quasi-experimental design. A 12-week intervention was implemented using local citizens as care providers. Intervention components included identifying and planning individual care needs, providing health education, organizing tailored community activities, and conducting AI-assisted weekly check-up calls to monitor health status. Results: Changes appeared more pronounced among vulnerable subgroups. Older adults with frailty showed an observed decrease in depressive symptoms compared to those with prefrailty or robust status. Conversely, among those with depressive symptoms, frailty levels appeared to increase more slowly than those without depressive symptoms. These patterns are consistent with the previously reported bidirectional associations between frailty and depression and may reflect the tendency for changes in one domain to coincide with changes in the other, rather than indicating a causal influence. Conclusion This citizen-led care intervention showed more noticeable short-term changes among older adults with higher vulnerability, particularly those with frailty or depressive symptoms. These findings indicate potential roles for citizen participation in enhancing social support and supporting ongoing monitoring in rural depopulation areas. The results suggest that citizen participation is a potentially feasible and sustainable approach to care systems in aging, resource-limited communities.

Background: As nationwide government-led whole-genome sequencing (WGS) projects progress, optimizing the clinical integration of large-scale WGS results is crucial. We explored how the initial analysis from Korea’s First WGS Pilot Study for Rare Diseases was applied in clinical practice, and then we reanalyzed the data comprehensively at Samsung Medical Center (SMC) Seoul, Korea. Methods: A prospective cohort study designed to collect WGS data under a Korean national initiative was conducted from August 2020 to December 2021. We focused on patients with rare diseases recruited from 16 university hospitals. The participants included 5,000 individuals (2,200 probands and 2,800 family members). The initial WGS data and diagnostic reference reports (from 682 probands and 484 family members), generated based on the First Korean WGS Pilot Study for Rare Diseases, were subsequently reanalyzed by SMC. Results: The initial analysis of the First Korean WGS Pilot Study data revealed a diagnostic rate of 17%. Upon receiving these results, the SMC conducted two rounds of reanalysis, increasing the diagnostic rate from 15% in the first analysis, to 18% in the second, and finally to 24% in the third (P = 1.6 × 10 −5 ). Key factors in improving the genetic diagnosis included increased detection of novel (likely) pathogenic variants (P = 1.0 × 10 −4 ), improved diagnostic rates with larger family recruitment (P = 0.004), and refined clinical information for more precise genotype–phenotype correlation analysis (40%). Conclusions Although national WGS projects lay a foundation for rare disease diagnosis, hospital-level reanalysis and multidisciplinary collaborations are crucial for optimizing diagnostic outcomes.

Limited data exist regarding the real-world practices and clinical outcomes in patients with ischemic heart failure with reduced left ventricular ejection fractions (LVEFs).Using nationwide registry data from South Korea, we aimed to investigate long-term outcomes and clinical practices, especially implantable cardioverter defibrillators (ICDs) implantation, in patients with reduced LVEFs at least 40 days after acute myocardial infarction (AMI). Of 13,056 patients with AMI between 2011 and 2015, we analyzed 350 (median age, 66 years [interquartile range, 56-75]) who had LVEFs <40% on follow-up transthoracic echocardiogram 40 days after the index event. The primary outcome was cardiac-cause mortality at 3 years. Secondary outcomes comprised major cardiovascular events as well as outcomes defined by the use of ICDs, cardiac resynchronization therapy defibrillators (CRT-Ds), and electrophysiology studies. Among 350 patients, 39 (11.1%) died from cardiac causes during 3 years of follow-up. Eleven (3.1%) were hospitalized for ventricular tachycardia. The rate of ICD or CRT-D implantation up to 3 years was 5.7% (20/350). Cox time-to-event analysis revealed older age, LVEF <30%, diabetes mellitus, and previous MI or revascularization as positively associated with cardiac death, whereas the use of statins and body weight <67 kg were negatively associated. This nationwide Korean registry demonstrated that only 5.7% of patients who had reduced LVEFs after 40 days of AMI underwent ICD implantations over 3 years. Considering the high mortality, concerted efforts are needed to improve clinical outcomes for patients who may have been candidates for ICD implantation.

Subglottic stenosis (SGS) and tracheal stenosis (TS) are rare conditions that can cause significant breathing difficulties and, if not properly managed, may lead to life-threatening complications. Despite their clinical importance, debate continues regarding the optimal management of adult SGS and TS, and no comprehensive guidelines have been established to date. The Korean Bronchoesophagological Society appointed a task force to develop clinical practice guidelines with the goal of providing evidence-based recommendations for managing SGS and TS in adults. The task force conducted a systematic review of the relevant literature by searching PubMed, Embase, and the Cochrane Library using predefined search terms aligned with key clinical questions. The quality of evidence was assessed using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach, which also informed the formulation and reporting of the recommendations. The strength of each recommendation reflects the guideline panel’s confidence that the benefits of an intervention outweigh its risks for eligible patients. After drafting the guidelines, feedback was obtained through Delphi questionnaires completed by members of the Korean Bronchoesophagological Society. Ultimately, the committee developed 17 evidence-based recommendations across four categories: initial evaluation, medical management, surgical treatment, and postoperative management and rehabilitation. These guidelines aim to support clinicians in delivering optimal care to adult patients with SGS and TS.

Objective: To classify life stages for companion dogs and cats by identifying clusters in age-specific disease proportions derived from medical records, providing a data-driven foundation for health examination programs. Methods: We collected 505,667 medical records from 82 veterinary facilities in South Korea between 2020 and 2023. Diagnoses were standardized using GPT-4o and S-BioBERT. Following preprocessing, data from 27 facilities yielded 222,706 canine and 39,910 feline records for the final analysis. Principal component analysis and K-means clustering (K = 4) were applied to age-specific disease proportions to identify life stages.The 10 most highest-proportion diagnoses diseases were determined for each cluster. Results: Canine life stages were classified as ≤ 1 year, 2–5 years, 6–10 years, and 11–15+ years.Feline life stages were 1–2 years, 3–8 years, 9–12 years, and 13–15+ years. In dogs, developmental diseases were common in the youngest age group, while chronic diseases were more prevalent in older groups. In cats, oral and urinary diseases were high-ranking, conjunctivitis was most common in the early stage, and chronic diseases increased with age. Conclusions and Relevance: Age-specific diagnosis patterns support four practical life stages for dogs and cats in South Korea. These boundaries can inform evidence-based preventive examination schedules, animal health policy, and pet insurance product design.

This study aimed to identify sex-specific sarcopenia risk groups among older adults. Methods: Data were obtained from 1,870 Korean adults aged 65 years or older who participated in the Korea National Health and Nutrition Examination Survey between 2022 and 2023. Sarcopenia was evaluated based on hand grip strength and skeletal muscle mass. Statistical analyses incorporating complex sample methods, along with decision tree analysis, were conducted using SPSS version 29.0. Results: The prevalence of reduced muscle strength, decreased muscle mass, and sarcopenia was 14.7%, 30.2%, and 8.1%, respectively. Sarcopenia was observed in 6.4% of men and 9.7% of women. In men, eleven sarcopenia risk pathways were identified based on age, anemia, education level, body mass index (BMI), perceived health status, hemoglobin A1c, diabetes, diastolic blood pressure, income, living status, acceptable macronutrient distribution range (AMDR) for protein, and aerobic exercise. The strongest predictor of sarcopenia risk in men was age ≥ 77 years, in combination with low educational attainment and anemia. In women, six sarcopenia risk pathways were identified based on age, BMI, AMDR for protein, high density lipoprotein-cholesterol, triglycerides, and living status. The strongest predictor of sarcopenia risk in women was age ≥ 74 years combined with low BMI. Conclusion: Sarcopenia risk factors and pathways differed substantially by sex among older adults. These findings suggest that sex-specific screening and targeted prevention strategies may be effective in reducing sarcopenia risk in older adults.

BACKGROUND: Alveolar bone loss following trauma, periodontal disease, congenital anomalies, or tooth extraction poses a major challenge for oral rehabilitation, especially in implant dentistry. Traditional grafting techniques using autografts, allografts, or xenografts provide limited predictability due to issues of resorption, donor morbidity, and immune incompatibility. Advances in three-dimensional (3D) printing now enable preparation of patient-specific biodegradable scaffolds designed using 3D imaging, like cone beam computed tomography (CBCT) and computer-aided design (CAD), allowing precise replication of defect geometry and tailored biological performance. METHODS: This review article summarizes the most recent preclinical and clinical studies investigating biodegradable 3D printed scaffolds for alveolar bone regeneration. Studies were searched in the PubMed database, Scopus, and Google Scholar with the most relevant keywords related to 3D printed scaffolds focusing on alveolar bone regeneration. RESULTS: Polymers such as PLA, PCL, and PLGA offer mechanical stability and printability but require bioactive modification. Ceramics, including hydroxyapatite and tricalcium phosphate, provide osteoconductivity yet are brittle.Hydrogels such as gelatin and alginate support cellular viability but lack structural strength. Composite scaffolds integrating polymers with ceramics or bioactive agents demonstrated superior osteogenic potential. Clinical applications included alveolar ridge preservation, guided bone regeneration, cleft repair, and implant site reconstruction. Emerging strategies utilizing bioinks with stem cells and growth factors further enhanced the biological properties of patient-specific 3D printed scaffolds for clinical purposes. CONCLUSION 3D printed patient-specific biodegradable scaffolds represent a promising alternative to conventional grafting, offering precise defect reconstruction, improved biological integration, and translational potential in maxillofacial surgery. Continued optimization of material printing combinations and vascularization strategies will be critical to achieving long-term clinical success.

Idiopathic pulmonary fibrosis (IPF) is characterized by maladaptive epithelial–mesenchymal crosstalk and progressive extracellular matrix accumulation, whereas currently available antifibrotic agents merely decelerate functional decline.This study investigated whether exosomes derived from human mesenchymal stem cells derived from embryonic stem cells (ESC-MSCs) restore epithelial stress responses and attenuate fibrotic remodeling. Human IPF lung transcriptomes were integrated with a bleomycin-induced murine model analyzed by RNA sequencing and protein signaling, together with cigarette smoke extract-induced injury in A549 epithelial cells. ESC-MSCs-derived exosomes exhibited typical morphology and size distribution, enrichment of tetraspanins, and absence of endoplasmic reticulum contamination, consistent with high-purity preparations. Across human IPF and bleomycin-injured lungs, transcriptomic profiling revealed prominent enrichment of extracellular matrix and cytoskeletal gene programs, whereas mitogen-activated protein kinase (MAPK) and Smad families displayed only modest alterations at the mRNA level. In vivo administration of exosomes during the fibrotic remodeling phase, via either intravenous or intratracheal delivery, resulted in improved body weight, reduced lung weight-to-body weight ratios, and decreased collagen deposition and Ashcroft scores. These structural and functional improvements were accompanied by suppression of profibrotic and mesenchymal markers and selective attenuation of activator protein-1 (AP-1) activity. In epithelial injury models, ESC-MSCs-derived exosomes enhanced cell viability, restored redox homeostasis, and constrained stress-induced mesenchymal gene expression and MAPK phosphorylation in both co-treatment and post-treatment settings. Collectively, these data support an epithelial-centered mechanism in which ESC-MSCs-derived exosomes re-establish oxidative balance and selectively restrict AP-1-driven stress signaling, thereby secondarily limiting extracellular matrix accumulation and fibrotic remodeling.

Reference management software (RMS) represents a cornerstone of modern academic writing and publishing. For decades, programs such as EndNote, Zotero, and Mendeley have played central roles in facilitating citation organization, bibliography formatting, and collaborative scholarship. Although each platform has introduced unique innovations, persistent limitations remain, particularly with respect to usability, accessibility, and accuracy. In parallel, the rise of generative artificial intelligence has introduced an unprecedented challenge: the inadvertent inclusion of fabricated or incorrect references mistakenly incorporated into manuscripts. This phenomenon has exposed a critical limitation of traditional RMS platforms, namely their inability to verify reference authenticity. Against this backdrop, new solutions have emerged. One such example is CiteWell (https://citewell.org/), an artificial intelligence (AI)-era RMS that introduces several notable innovations, including PubMed-integrated verification, an intuitive interface for new users, customizable journal-specific styles, and multilingual accessibility. This review provides a comprehensive historical overview of RMS, evaluates the strengths and weaknesses of major platforms, and positions emerging AI-based tools as a new paradigm that combines traditional reference management with essential safeguards for contemporary academic challenges.