Background: Adequate tissue oxygenation is a key determinant of diabetic foot ulcer (DFU) outcomes. Though transcutaneous oxygen pressure (TcPO2) is the gold standard for evaluating tissue oxygenation, its limited availability restricts routine clinical use. Consequently, toe pressure is frequently utilized as a practical surrogate; however, the direct correlation between these two modalities has yet to be rigorously investigated. This study aimed to assess the correlation and agreement between TcPO2 and toe pressure in patients with DFUs. Methods: A retrospective review was conducted on 837 DFU patients who received simultaneous TcPO2 and toe pressure assessments. The correlation between the two tests was analyzed using the Pearson correlation coefficient, and agreement was evaluated using Bland–Altman analysis. To aid interpretation, a scatterplot and Bland–Altman plot were generated. Results: TcPO2 and toe pressure demonstrated a strong correlation (R=0.66; 95% confidence interval, 0.62 to 0.70; P<0.001). Bland–Altman analysis showed a mean bias of 26.9 mmHg (standard deviation of differences, 28.8 mmHg; 95% limits of agreement, −28.9 to 82.6 mmHg) between toe pressure and TcPO2, reflecting limited agreement and increased variability at higher perfusion levels. Conclusion TcPO2 and toe pressure are strongly correlated. However, they are not interchangeable, particularly in DFU patients with high tissue perfusion.

Background: With the aging population and advancements in medical care worldwide, the number of older patients with end-stage kidney disease continues to rise. This study aimed to identify factors associated with osteoporosis and osteopenia in older patients undergoing incident hemodialysis and assess their impact on mortality. Methods: We analyzed a large multicenter retrospective cohort of patients aged ≥70 years undergoing incident hemodialysis to identify factors associated with osteoporosis using logistic regression analysis and to assess the association of death with osteoporosis and osteopenia using Cox multivariable analysis. Results: Among 710 patients, 39.0% and 19.6% had osteoporosis and osteopenia, respectively. Osteoporosis was significantly associated with female sex, a history of fractures, and the absence of phosphate binder use. During a median follow-up of 36.8 months, 348 participants (58.8%) died. Mortality rates were the highest in the osteoporosis group (79.8%), followed by the osteopenia (77.2%) and normal bone mineral density (BMD) groups (35.2%). Cox regression analysis revealed that even after adjusting for covariates, the osteoporosis group was significantly associated with a higher mortality risk than the normal BMD group. Osteoporosis at the start of hemodialysis was significantly associated with higher mortality. Conclusion We should consider the importance of bone health in patients undergoing incident hemodialysis and pay attention to the use of phosphate binders and fracture prevention.

Background: Obesity is a well-known risk factor for chronic kidney disease and its progression. However, the impact of obesity on the renal function of the elderly population is uncertain. We investigated the association between obesity and renal outcomes in the elderly. Methods: We analyzed 130,504 participants from the Korean National Health Insurance Service-Senior cohort. Obesity was classified according to body mass index (BMI), sex-specific waist circumference (WC), and the presence of metabolic syndrome. The primary outcome was renal function decline, defined as a decline in the estimated glomerular filtration rate (eGFR) of at least 50% from baseline or new-onset end-stage renal disease. Results: During a follow-up period of 559,531.1 person-years (median, 4.3 years), 2,486 participants (19.0%; incidence rate of 4.44 per 1,000 person-years) showed renal function decline. A multivariate Cox proportional hazards model revealed that BMI/WC was not associated with renal function decline. However, the group with metabolic syndrome had a significantly increased risk of renal function decline compared to the group without metabolic syndrome (adjusted hazard ratio [HR], 1.24; 95% confidence interval [CI], 1.13–1.36). Compared with the non-metabolic syndrome group, the adjusted HRs (95% CI) for participants with one through five components were 0.96 (0.84–1.11), 1.10 (0.96–1.27), 1.24 (1.06–1.45), 1.37 (1.12–1.66), and 1.99 (1.42–2.79), respectively (p for trend < 0.001). Conclusion In elderly Korean adults, metabolic syndrome and the number of its components were associated with a higher risk of renal function decline, but BMI or WC was not significant.

Background: Deep neuromuscular blockade (NMB) optimizes surgical conditions, particularly during laparoscopic procedures. However, its effects on systemic cytokines associated with anesthesia-related complications, including postoperative delirium and cognitive dysfunction, remain unclear. In this review, we quantified the impact of deep NMB on serum cytokine levels. Methods: PubMed, EMBASE, CENTRAL, CINAHL, Scopus, Web of Science, and Google Scholar databases were searched to identify randomized controlled trials (RCTs) evaluating serum cytokine levels in surgical patients under deep or moderate NMB. Results: Eight RCTs, including 661 patients undergoing laparoscopic and orthopedic surgeries, met the inclusion criteria. Immediately postoperatively, meta-analysis suggested a potential reduction in tumor necrosis factor-α (TNF-α, standardized mean difference: −0.46, 95% CI [−0.87 to −0.06], P = 0.03), with no significant differences in interleukin-1β (IL-1β) or interleukin-6 (IL-6) levels. At 24-h and 48-h postoperatively, no significant differences were observed in IL-1β, IL-6, TNF-α, or C-reactive protein levels. Meta-regression analysis indicated that inhalational anesthesia was associated with high IL-1β (estimate = 1.2135, 95% CI [0.5107–1.9162], P < 0.01) and TNF-α levels (estimate = 0.6271, 95% CI [0.0544–1.1997], P = 0.032) immediately postoperatively; however, younger patients exhibited elevated IL-1β levels under moderate NMB at 24-h postoperatively (estimate = 0.0242, 95% CI [0.0065–0.0419], P < 0.01). Conclusions Deep NMB may be associated with reduced TNF-α levels immediately postoperatively. Inhalational anesthesia and younger age may contribute more to higher serum cytokine levels compared with total intravenous anesthesia and older age, respectively, suggesting a potential immunomodulatory effect of deep NMB. Further studies should clarify its clinical relevance.

Background: Lifestyle modifications are critical in addressing metabolic dysfunction-associated steatotic liver disease (MASLD); however, the specific macronutrients that most significantly influence the disease’s progression are uncertain. In this study, we aimed to explore the role of carbohydrate, fat, and protein intake in MASLD development using decision trees, random forest models, and cluster analysis. Methods: Participants (n=3,951) from the Korean Genome and Epidemiology Study were included. We used the classification and regression tree analysis to classify participants into subgroups based on variables associated with the incidence of new-onset MASLD. Random forest analyses were used to assess the relative importance of each variable. Participants were grouped into homogeneous clusters based on carbohydrate, protein, fat, and total caloric intake using hierarchical cluster analysis. Subsequently, we used the Cox proportional hazards regression models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for MASLD risk across the clusters. Results: Carbohydrate intake was identified as the most significant predictor of new-onset MASLD, followed by fat, protein, and total caloric intake. Participants in cluster 3, who consumed a lower proportion of carbohydrate but had higher total caloric, protein, and fat intake, had a lower risk of new-onset MASLD than those in cluster 1 after adjusting for confounders (cluster 1 as a reference; cluster 3: HR, 0.90; 95% CI, 0.82 to 0.99). Conclusion The study’s results highlight the critical role of macronutrient composition, particularly carbohydrate intake, in MASLD development. The findings suggest that dietary strategies focusing on optimizing macronutrients, rather than simply reducing caloric intake, may be more effective in preventing MASLD.

Objectives: Migrating legacy on-premise electronic health record (EHR) systems in tertiary hospitals to modern cloud-native platforms presents technical and strategic challenges. We aimed to establish an optimized roadmap for transitioning legacy monolithic systems to a microservice architecture-based cloud-native EHR (MCEHR). Methods: We conducted a 3-month strategic assessment and case study based on the modernization requirements of a global healthcare provider. The methodology incorporated semi-structured interviews with key stakeholders, including clinical informatics officers and system architects, to identify critical pain points such as .NET 4.0 end-of-support risks and performance bottlenecks during peak clinical hours. Phased hybrid migration was adopted, analyzing over 20 TB of Oracle-based legacy data and evaluating the technical feasibility of transitioning to .NET 9 and RESTful APIs. To ensure clinical safety, a proof-of-concept (PoC) environment was developed to simulate high-concurrency clinical workloads, emphasizing system resilience and transaction integrity during intensive order-entry periods. Results: The transition to .NET 9 and MCEHR demonstrated 100% transaction integrity across 1,012 complex clinical test cases. Frontend and backend modernization showed high feasibility; however, migration of business logic embedded within legacy Oracle views represented a primary technical bottleneck, necessitating targeted decoupling. The PoC confirmed that RESTful API-based services maintained stable throughput under heavy concurrent loads, significantly reducing the risk of system-induced delays in clinical workflows. Conclusions Transitioning to an MCEHR architecture is complex but strategically essential. The proposed task force team roadmap outlines staged upgrades incorporating core technology modernization (.NET 9 and RESTful APIs), selective business component migration, and parallel DevOps adoption.

Background: and Purpose To compare the epidemiological and clinical features of the rare patients with cerebral autosomal dominant arteriopathy with subcortical infarcts and leukoencephalopathy (CADASIL) with age- and sex-matched controls in a nationwide cohort from South Korea. Methods: This observational cohort study analyzed newly diagnosed CADASIL patients aged at least 20 years and matched controls using data from the National Health Information Database for 2004–2022. The cumulative incidence of CADASIL was assessed by age and sex, and compared between regions. Neurologic and systemic diseases were compared between the CADASIL and control groups. Results: The study analyzed 816 CADASIL patients and 816 age- and sex-matched controls aged 56.8±15.2 years (mean±standard deviation), among whom 48.3% were male. The cumulative incidence of CADASIL was 1.86 per 100,000 people (95% confidence interval [CI]=1.85– 1.87 per 100,000), and peaked at 60–69 years of age. In terms of regional distribution, the incidence was highest for Jeju, at 39.67 per 100,000 (95% CI 37.84–41.49 per 100,000). Neurologic diseases were more frequent in CADASIL patients, including Alzheimer’s disease (33.1% vs.20.0%), vascular dementia (84.9% vs. 5.0%), epilepsy (34.6% vs. 15.9%), stroke (70.7% vs. 27.6%), parkinsonism (18.9% vs. 11.0%), and depression (60.8% vs. 44.9%). Systemic diseases such as diabetes mellitus (78.9% vs. 68.9%) were also more common in CADASIL patients, while cancer (27.9% vs. 38.7%) and myocardial infarction (10.0% vs. 13.6%) were less common than in controls. The onset ages of all diseases were lower in CADASIL patients. Conclusions This study has provided a precise nationwide estimate of the CADASIL incidence and its regional distribution in South Korea. CADASIL patients showed higher incidence rates and earlier onsets of diverse clinical manifestations.

Objective: : This study investigated the relationship between arterial partial pressure of oxygen (PaO2) levels in the first 24 hours of intensive care unit (ICU) admission and clinical outcomes in neurocritically ill brain tumor patients. Methods: : In this single-center retrospective study of 2123 brain tumor patients, we analyzed PaO2 levels from arterial blood gas samples within 24 hours of ICU admission. The primary endpoint was 28-day mortality. Analysis utilized multivariable logistic regression and inverse probability of treatment weighting (IPTW). Results: : PaO2 exceeding 91.5 mmHg was defined as hyperoxia. The non-hyperoxia group showed higher 28-day mortality than the hyperoxia group (15.5% vs. 6.0%, p<0.002), a trend that persisted after IPTW adjustment (10.7% vs. 6.6%, p=0.019). In IPTW-adjusted regression, non-hyperoxia remained significant (adjusted odds ratio [OR], 3.24; 95% confidence interval [CI], 1.82–5.77). Survival analysis demonstrated significantly higher survival rates in the hyperoxia group (p<0.001). Subgroup analysis revealed significant heterogeneity across tumor types (p for interaction <0.001), with protective effects observed in malignant brain tumors (adjusted OR, 3.5; 95% CI, 1.88– 6.51) and brain metastases (adjusted OR, 3.86; 95% CI, 2.31–6.44), but not in benign tumors (adjusted OR, 1.14; 95% CI, 0.22–5.87). Conclusion : Elevated PaO2 levels within the first 24 hours of ICU admission were associated with decreased mortality rates, suggesting oxygenation as a potential therapeutic target in brain tumor patients. The protective effects were most pronounced in patients with malignant brain tumors and brain metastases, supporting a tumor type-specific approach to oxygenation management.

Objective: Sleep disturbances are common and debilitating nonmotor symptoms (NMS) in Parkinson’s disease (PD) patients and profoundly affect quality of life. Despite emerging evidence suggesting that monoamine oxidase B (MAO-B) and catechol-O-methyltransferase (COMT) inhibitors may alleviate NMS, their specific effects on sleep remain unclear. The aim of this network meta-analysis (NMA) was to compare the efficacy of these inhibitors related to sleep problems in PD patients. Methods: Following a systematic search of PubMed, Cochrane, and Embase, studies comparing MAO-B or COMT inhibitors and assessing sleep outcomes in PD patients were identified. An NMA was conducted using data from the seven studies that met our inclusion criteria. The outcomes included subjective sleep quality, daytime sleepiness, and objective polysomnography (PSG) parameters. Results: No statistically significant differences were found between the effects of the MAO-B and COMT inhibitors on improving subjective sleep quality or daytime sleepiness. However, analyses of objective PSG data revealed that, compared with rasagiline and placebo, safinamide significantly increased rapid eye movement sleep duration (mean difference, 5.70 min [95% CI, 2.26 to 9.14]) and decreased wake time after sleep onset (mean difference, -10.20 min [-19.38 to -1.02]). Conclusion These findings suggest that safinamide may offer additional value for managing sleep disruptions beyond its known motor benefits in patients with PD. Given the limited number and small scale of available trials, the overall evidence should be interpreted cautiously. Nonetheless, this analysis highlights the need for future high-quality trials focused on sleep outcomes to guide the personalized use of MAO-B and COMT inhibitors for sleep disturbances in PD patients.

Objective: Cognitive impairment is common in patients with Parkinson’s disease (PD), and few pharmacological options are available for treating this condition. We evaluated the effects of a digital cognitive training program (SUPERBRAIN), which was previously shown to be effective in populations at risk of Alzheimer’s disease, on cognitive function in individuals with PD. Methods: Twenty-three individuals with PD and mild cognitive impairment (PD-MCI) from four clinics were randomized to the intervention (n=16) or control (n=7) groups. The intervention group completed a 12-week, home-based, tablet-based cognitive training program (25–30 min/day, 7 days/week). Cognitive outcomes were assessed using the Seoul Neuropsychological Screening Battery pre- and post-intervention. Results: The adherence rate was 79.36%. The intervention group showed significant improvements in the Seoul Verbal Learning Test (SVLT) delayed recall and the Controlled Oral Word Association Test, while no changes were observed in the control group. Analysis of covariance confirmed greater SVLT improvement in the intervention group (F statistic=7.15, p=0.015, partial η2=0.28). Conclusion SUPERBRAIN is feasible and can improve cognitive function in individuals with PD-MCI.