Purpose: We aimed to analyze pediatric drowning cases to study age group-related clinical characteristics, such as causes, location, and outcomes, in an under-researched area in South Korea. Methods: From January 1, 2020 through July 20, 2025, we retrospectively analyzed medical records of patients aged 19 years or younger who had experienced drowning and visited Kangwon National University Hospital located in the northern Yeongseo region of Gangwon Province. Their clinical characteristics were compared between those with worse outcomes, defined as hospitalization to the intensive care unit or in-hospital mortality, and those with better outcomes. Results: During the period, 27 patients having undergone drowning accidents visited the hospital. The most frequent location was the bathtub at home in the patients younger than 1 year (all 4 patients), commercial swimming pools in those aged 1-14 years (12 of the 16 patients), and rivers in those aged 15-19 years (all 7 patients). Of the 27 cases, 11 had worse outcomes including 4 mortalities. Patients with worse outcomes had higher percentages of guardian’s negligence, altered mental status, pool or river as the location, implementation of oxygen therapy or positive pressure ventilation, and lower mean initial Korean Triage and Acuity Scale (i.e., higher acuity), as well as higher mean concentrations of glucose, urea nitrogen, aspartate aminotransferase, and base deficit. Conclusion This study on pediatric drowning patients in the under-researched area showed age-related differences in the primary causes of drowning and clinical features related to the worse outcomes. These findings need to be considered for prompting increased parental vigilance and more comprehensive societal preventive measures.

Alterations in gait patterns often indicate health status, and their analysis enables the diagnosis and assessment of various health conditions. This study aimed to develop a noncontact gait analysis system using red, green, and blue-depth (RGB-D) cameras and to evaluate its potential clinical applicability. A single case study was conducted to assess changes in the gait patterns of a patient with stroke before and after the application of an ankle-foot orthosis. Twenty walking trials were recorded to evaluate the key gait parameters. The custom RGB-D camera-based gait analysis system demonstrated the potential to rapidly quantify key gait parameters in the patient. Compared with normative data, it effectively identified characteristic stroke-related gait impairments such as shorter step lengths and slower gait speeds. However, the intraclass correlation coefficient analysis indicated low measurement reliability. Although the stance time and minimum knee angle on the left and right sides exceeded the standard error of measurement (SEM), no changes exceeded the minimal detectable change (MDC) criteria. Moreover, other gait parameters did not show significant changes beyond SEM or MDC, limiting the interpretability of the results. Therefore, further technological developments and data collection are required to improve test-retest reliability and sensitivity to change.

Background: This study was performed to evaluate the prognostic utility of a positive T wave in lead augmented vector right (TaVR) and elevated E/e′ ratio in predicting major adverse cardiovascular events (MACE) in patients receiving maintenance hemodialysis. Methods: We retrospectively examined 296 adults on thrice-weekly hemodialysis with baseline electrocardiography and transthoracic echocardiography (October 2018–April 2024). TaVR positivity was T-wave amplitude, >0 mV and high E/e′, ≥19. Primary outcome was the first MACE—cardiovascular death, myocardial infarction, stroke, heart-failure admission, or revascularization. Multivariable Cox models adjusted for clinical covariates; incremental value was gauged with Harrell’s C-index, integrated discrimination improvement (IDI), and continuous net reclassification improvement (NRI). Sensitivity analysis was performed using a guideline-recommended E/e′ threshold of ≥15 to assess robustness. Results: Over 56.5 months (1,325 patient-years), 118 MACE occurred (8.9/100 patient-years). Incidence was higher with TaVR positivity than negativity (16.0/100 patient-years vs. 3.7/100 patient-years; log-rank p < 0.001). Adjusted hazard ratios were 3.19 (95% confidence interval [CI], 2.00–5.08) for TaVR and 2.92 (95% CI, 1.71–4.96) for high E/e′. Adding both markers to the clinical model increased the C-index from 0.65 to 0.75 (Δ 0.10) and improved IDI (0.10) and NRI (0.16) (all p < 0.01). A significant negative interaction (hazard ratio, 0.21; p = 0.01) indicated complementary but partly overlapping information. Sensitivity results were similar. Conclusion TaVR positivity is a strong independent electrocardiography predictor of cardiovascular events in hemodialysis. Combining TaVR with E/e′ adds prognostic value and supports a pragmatic two-step strategy— electrocardiography triage followed by focused echocardiography—for cardiovascular risk stratification in this high-risk population.

Ambient air pollution is a serious public health issue worldwide. A growing number of studies has highlighted the negative effects of air pollution on metabolic syndrome (MetS) and its components, including abdominal obesity, disorders of lipid metabolism, elevated blood pressure, and impaired fasting blood glucose. This review provides a brief overview of epidemiological and genetic interaction studies of the links between chronic exposure to ambient air pollution and MetS and its components, as well as plausible mechanisms underlying these relationships. The cumulative evidence suggests that long-term exposure to air pollution, especially particulate matter, increases the risk of MetS and its components. These associations can be partly modified by baseline characteristics, lifestyle, and health conditions. Gene-by-air-pollution interaction studies, limited to candidate genes in the past, have recently been conducted at an expanded genome-wide level. However, more such studies are needed to comprehensively understand the genetics involved in the association between air pollution and MetS. Mechanistic evidence suggests potential biological pathways, including inflammation, oxidative stress, and endothelial dysfunction.

Ambient air pollution is a serious public health issue worldwide. A growing number of studies has highlighted the negative effects of air pollution on metabolic syndrome (MetS) and its components, including abdominal obesity, disorders of lipid metabolism, elevated blood pressure, and impaired fasting blood glucose. This review provides a brief overview of epidemiological and genetic interaction studies of the links between chronic exposure to ambient air pollution and MetS and its components, as well as plausible mechanisms underlying these relationships. The cumulative evidence suggests that long-term exposure to air pollution, especially particulate matter, increases the risk of MetS and its components. These associations can be partly modified by baseline characteristics, lifestyle, and health conditions. Gene-by-air-pollution interaction studies, limited to candidate genes in the past, have recently been conducted at an expanded genome-wide level. However, more such studies are needed to comprehensively understand the genetics involved in the association between air pollution and MetS. Mechanistic evidence suggests potential biological pathways, including inflammation, oxidative stress, and endothelial dysfunction.

Ambient air pollution is a serious public health issue worldwide. A growing number of studies has highlighted the negative effects of air pollution on metabolic syndrome (MetS) and its components, including abdominal obesity, disorders of lipid metabolism, elevated blood pressure, and impaired fasting blood glucose. This review provides a brief overview of epidemiological and genetic interaction studies of the links between chronic exposure to ambient air pollution and MetS and its components, as well as plausible mechanisms underlying these relationships. The cumulative evidence suggests that long-term exposure to air pollution, especially particulate matter, increases the risk of MetS and its components. These associations can be partly modified by baseline characteristics, lifestyle, and health conditions. Gene-by-air-pollution interaction studies, limited to candidate genes in the past, have recently been conducted at an expanded genome-wide level. However, more such studies are needed to comprehensively understand the genetics involved in the association between air pollution and MetS. Mechanistic evidence suggests potential biological pathways, including inflammation, oxidative stress, and endothelial dysfunction.

Background: This study aimed to identify the associated factors for brain metastasis (BM) in patients with anaplastic thyroid cancer (ATC) and estimate the diagnostic yield of staging brain magnetic resonance imaging (MRI) during the initial evaluation of ATC. Methods: This retrospective, single-center study included patients newly diagnosed with ATC who underwent brain MRI, from May 2008 to July 2024. The patients were stratified into two groups (BM vs. non-BM). The clinical characteristics of ATC were compared between the two groups using the chi-squared test and multivariable logistic regression analysis. The diagnostic yield of initial staging brain MRI from 2010 to 2024 was calculated. Results: A total of 77 patients (61.52±13.19 years old, 37 men) were included. BM was observed in 19 patients (24.7%). The occurrence of BM was significantly associated with extracranial metastasis (p=0.004), especially lung metastasis (p=0.017), and neurologic symptoms (p=0.001). On multivariable logistic regression analysis, after adjusting for age, sex, and primary thyroid tumor size, the presence of extracranial metastases (odds ratio [OR]: 16.09 [2.39–360.70], p=0.019) and neurologic symptoms (OR: 5.95 [1.73–24.08], p=0.007) were independently associated with BM. The diagnostic yield of staging brain MRI during the initial evaluation of ATC was 6.1% (3/49). The diagnostic rate of BM was 26.5% (18/68) in patients with extracranial metastases and 38.9% (14/36) in those with neurological symptoms. Conclusion Routine staging or surveillance brain MRI in patients with extracranial metastasis is likely to offer significant benefits.

Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT.

The spinal cord is a complex and densely packed structure of nerve tissue, and magnetic resonance imaging (MRI) is an excellent imaging modality for evaluating its pathologies. Among the distinct functional zones of the spinal cord, the dorsal (or posterior) column is a crucial white matter region responsible for transmitting sensory information and is located in the posterior aspect of the spinal cord. Myelopathies of the dorsal column typically appear as high signal intensity in this region on T2-weighted images. They may arise from several pathological processes, including degenerative, metabolic, inflammatory, infectious, and traumatic conditions. Identifying the specific etiology through characteristic MRI features, along with the patient’s clinical presentation, is crucial for developing an effective treatment plan and understanding the prognosis of sensory abnormalities. This study reviews myelopathies that specifically affect the dorsal column and outlines the MRI findings that aid in the differential diagnosis of these dorsal column lesions.

Accurate occupation classification is essential in various fields, including policy development and epidemiological studies. This study aims to develop an occupation classification model based on DistilKoBERT.