Background: Despite the increasing use of continuous glucose monitoring (CGM) systems, limited data exist on their perceived benefits and challenges among patients and healthcare providers. This study explored CGM-related experiences in South Korea. Methods: An anonymous online survey was conducted between January and December 2021 at four university hospitals. Respondents included patients with diabetes mellitus (DM), physicians, and DM education nurses. The survey assessed the use of CGM, its benefits, and barriers. Most devices were first-generation CGMs: FreeStyle Libre 1 (Abbott Diabetes Care), Dexcom G6 (Dexcom Inc.), and Medtronic Guardian 3 (Medtronic MiniMed). Results: Among 1,010 patients (33.4% with type 1 DM [T1DM], 63.6% with type 2 DM [T2DM], and 3.1% others; mean age, 51.4±14.6 years), 92.7% found CGM helpful. Although 59.6% reported discomfort, 81.9% intended to continue using CGM, indicating that perceived benefits outweighed barriers. The key advantages were glucose monitoring without finger pricks (T1DM, 57.9%; T2DM, 56.2%) and maintenance of target glucose levels. Discomfort was related to discomfort during activities (53.8%), skin problems (45.0%), and pain (43.0%). Healthcare provider recommendations were associated with reduced discomfort (adjusted odds ratio, 0.36; 95% confidence interval, 0.21–0.60). Physicians (n=29) cited high costs as the main barrier (T1DM, 58.9%; T2DM, 64.8%); only 51.9% and 14.5% prescribed CGM for T1DM and T2DM, respectively. Insulin adjustment and glucose control were the main reasons for prescription, while cost (89.3%) and limited consultation time (67.9%) were barriers. DM educators (n=9) reported heavy workloads, with training and follow-up times averaging 31.7±7.5 minutes and 21.7±9.7 minutes, respectively; 77.8% of DM educators identified frequent patient inquiries as their greatest burden. Conclusion CGM provides significant clinical benefits but is limited by discomfort, costs, and educational burden. Sustained adoption requires device improvements, insurance support, and workforce expansion.

Digital therapeutics are emerging as treatments for diseases and disabilities. In chronic kidney disease (CKD), gait is a potential biomarker for health status and intervention effectiveness. This study aims to analyze gait characteristics in CKD patients, providing baseline data for digital therapeutics development. Methods: At baseline and after an 8-week intervention, we performed bioimpedance analysis measurements, the Timed Up and Go, Tinetti, and grip strength tests, and gait analysis in 217 healthy individuals and 276 patients with CKD. Demographic and clinical information was collected, including underlying diseases and medications, laboratory tests, and quality of life satisfaction surveys. Gait analysis was performed using skeleton data, which involved acquiring three-dimensional skeleton data of a walker using a single Kinect sensor. The performance of an artificial intelligence-based classification model in distinguishing between healthy individuals and those with CKD was then investigated. Simultaneously, inertia measurement unit analysis was conducted using measurements taken from the wrist and waist. Results: Most subjects received a health intervention via an app, and their gait was assessed for improvements after an 8-week period. Incidents such as falls, fractures, hospitalizations, and deaths will be investigated in years 1 and 3. Conclusion: This study confirmed that the gaits of healthy individuals and CKD patients were different, and the effect of the 8-week app-based health intervention will be analyzed. The study will yield important baseline data for creating digital therapeutics for CKD patients’ diet/exercise in the future.

Purpose: There is controversy as to whether brain magnetic resonance imaging (MRI) should be performed on all children with growth hormone deficiency (GHD) including those judged to have mild GHD. This study was aimed to determine the frequency of pituitary or intracranial abnormalities in pediatric GHD and to identify risk factors that may predict pituitary or intracranial abnormalities. Methods: A total of 95 pediatric GHD patients were included. Their medical records and brain magnetic resonance (MR) images were reviewed retrospectively. Results: Abnormal pathogenic MR images were found in 14 patients (14.7%), including 10 (10.5%) with pituitary hypoplasia and 4 (4.2%) with pituitary stalk interruption syndrome. Serum levels of insulin-like growth factor-I (IGF-I), IGF-I standard deviation score (SDS), insulin-like growth factor binding protein 3 (IGFBP3), and growth hormone (GH) peak level of GH stimulation test were statistically significantly lower in the group with abnormal brain MRI. The frequency of abnormal MRI was statistically significantly higher in the complete GHD group. IGF-1 SDS showed the highest area under the curve which can predict the presence of brain abnormality with a sensitivity of 85% and a specificity of 71.4%, if IGF-1 SDS was less than -1.365. IGF-1, IGFBP3, and GH peak levels also showed good sensitivity of over 80% for predicting brain abnormalities with cutoff values of 70.285 ng/mL, 1,604 ng/mL, and 4.205 ng/mL, respectively. Conclusion The sensitivity and specificity of each cutoff value of IGF-1, IGF-1 SDS, IGFBP3, and GH peak levels were good and statistically significant in predicting brain MRI abnormalities. However, it was insufficient to predict all brain abnormalities with these variables. Therefore, we would like to recommend performing a brain MRI if a child is diagnosed with GHD.

Purpose: There is controversy as to whether brain magnetic resonance imaging (MRI) should be performed on all children with growth hormone deficiency (GHD) including those judged to have mild GHD. This study was aimed to determine the frequency of pituitary or intracranial abnormalities in pediatric GHD and to identify risk factors that may predict pituitary or intracranial abnormalities. Methods: A total of 95 pediatric GHD patients were included. Their medical records and brain magnetic resonance (MR) images were reviewed retrospectively. Results: Abnormal pathogenic MR images were found in 14 patients (14.7%), including 10 (10.5%) with pituitary hypoplasia and 4 (4.2%) with pituitary stalk interruption syndrome. Serum levels of insulin-like growth factor-I (IGF-I), IGF-I standard deviation score (SDS), insulin-like growth factor binding protein 3 (IGFBP3), and growth hormone (GH) peak level of GH stimulation test were statistically significantly lower in the group with abnormal brain MRI. The frequency of abnormal MRI was statistically significantly higher in the complete GHD group. IGF-1 SDS showed the highest area under the curve which can predict the presence of brain abnormality with a sensitivity of 85% and a specificity of 71.4%, if IGF-1 SDS was less than -1.365. IGF-1, IGFBP3, and GH peak levels also showed good sensitivity of over 80% for predicting brain abnormalities with cutoff values of 70.285 ng/mL, 1,604 ng/mL, and 4.205 ng/mL, respectively. Conclusion The sensitivity and specificity of each cutoff value of IGF-1, IGF-1 SDS, IGFBP3, and GH peak levels were good and statistically significant in predicting brain MRI abnormalities. However, it was insufficient to predict all brain abnormalities with these variables. Therefore, we would like to recommend performing a brain MRI if a child is diagnosed with GHD.

Mitochondrial encephalomyopathy, lactic acidosis, and stroke-like episode (MELAS) syndrome is a maternally inherited mitochondrial disorder that usually affects the cerebral cortex and prevents high-energy demands from being met. Herein, we present the case of a male patient who rapidly developed multiple seizures, headaches, and altered mentality accompanied by severe metabolic acidosis and lactic acidosis. Initially, a brain imaging study confirmed stroke-like lesions (SLLs) only in the cerebellum. During follow-up, newly developed SLLs with lactic acidosis were observed in the basal ganglia (BG), cerebellum, and occipital lobe. The m.3243A>G variant had been found in the patient and MELAS was diagnosed, despite the BG and cerebellum being atypical locations for SLLs in MELAS. Since most cases of m.3243A>G variant MELAS show SLLs in the cerebral cortex, this case is unusual considering the location of the lesion. We emphasize that in the case of lactic acidosis accompanied by neurological symptoms, such as seizures, as in this case, MELAS should be included in the differential diagnosis, even if SLLs are observed in areas other than the cerebral cortex.

Purpose: There is controversy as to whether brain magnetic resonance imaging (MRI) should be performed on all children with growth hormone deficiency (GHD) including those judged to have mild GHD. This study was aimed to determine the frequency of pituitary or intracranial abnormalities in pediatric GHD and to identify risk factors that may predict pituitary or intracranial abnormalities. Methods: A total of 95 pediatric GHD patients were included. Their medical records and brain magnetic resonance (MR) images were reviewed retrospectively. Results: Abnormal pathogenic MR images were found in 14 patients (14.7%), including 10 (10.5%) with pituitary hypoplasia and 4 (4.2%) with pituitary stalk interruption syndrome. Serum levels of insulin-like growth factor-I (IGF-I), IGF-I standard deviation score (SDS), insulin-like growth factor binding protein 3 (IGFBP3), and growth hormone (GH) peak level of GH stimulation test were statistically significantly lower in the group with abnormal brain MRI. The frequency of abnormal MRI was statistically significantly higher in the complete GHD group. IGF-1 SDS showed the highest area under the curve which can predict the presence of brain abnormality with a sensitivity of 85% and a specificity of 71.4%, if IGF-1 SDS was less than -1.365. IGF-1, IGFBP3, and GH peak levels also showed good sensitivity of over 80% for predicting brain abnormalities with cutoff values of 70.285 ng/mL, 1,604 ng/mL, and 4.205 ng/mL, respectively. Conclusion The sensitivity and specificity of each cutoff value of IGF-1, IGF-1 SDS, IGFBP3, and GH peak levels were good and statistically significant in predicting brain MRI abnormalities. However, it was insufficient to predict all brain abnormalities with these variables. Therefore, we would like to recommend performing a brain MRI if a child is diagnosed with GHD.

Objective: To develop a deep-learning-based bone age prediction model optimized for Korean children and adolescents and evaluate its feasibility by comparing it with a Greulich-Pyle-based deep-learning model. Materials and Methods: A convolutional neural network was trained to predict age according to the bone development shown on a hand radiograph (bone age) using 21036 hand radiographs of Korean children and adolescents without known bone development-affecting diseases/conditions obtained between 1998 and 2019 (median age [interquartile range {IQR}], 9 [7–12] years; male:female, 11794:9242) and their chronological ages as labels (Korean model). We constructed 2 separate external datasets consisting of Korean children and adolescents with healthy bone development (Institution 1: n = 343;median age [IQR], 10 [4–15] years; male: female, 183:160; Institution 2: n = 321; median age [IQR], 9 [5–14] years; male:female, 164:157) to test the model performance. The mean absolute error (MAE), root mean square error (RMSE), and proportions of bone age predictions within 6, 12, 18, and 24 months of the reference age (chronological age) were compared between the Korean model and a commercial model (VUNO Med-BoneAge version 1.1; VUNO) trained with Greulich-Pyle-based age as the label (GP-based model). Results: Compared with the GP-based model, the Korean model showed a lower RMSE (11.2 vs. 13.8 months; P = 0.004) and MAE (8.2 vs. 10.5 months; P = 0.002), a higher proportion of bone age predictions within 18 months of chronological age (88.3% vs. 82.2%; P = 0.031) for Institution 1, and a lower MAE (9.5 vs. 11.0 months; P = 0.022) and higher proportion of bone age predictions within 6 months (44.5% vs. 36.4%; P = 0.044) for Institution 2. Conclusion The Korean model trained using the chronological ages of Korean children and adolescents without known bone development-affecting diseases/conditions as labels performed better in bone age assessment than the GP-based model in the Korean pediatric population. Further validation is required to confirm its accuracy.

Complex regional pain syndrome (CRPS) is a chronic neuropathic pain disorder. Pain catastrophizing, characterized by magnification, rumination, and helplessness, increases perceived pain intensity and mental distress in CRPS patients. As functional connectivity patterns in CRPS remain largely unknown, we aimed to investigate functional connectivity alterations in CRPS patients and their association with pain catastrophizing using a whole-brain analysis approach. Twenty-one patients with CRPS and 49 healthy controls were included in the study for clinical assessment and resting-state functional magnetic resonance imaging. Between-group differences in whole-brain functional connectivity were examined through a Network-based Statistics analysis. Associations between altered functional connectivity and the extent of pain catastrophizing were also assessed in CRPS patients. Relative to healthy controls, CRPS patients showed higher levels of functional connectivity in the bilateral somatosensory subnetworks (components 1~2), but lower functional connectivity within the prefronto-posterior cingulate (component 3), prefrontal (component 4), prefronto-parietal (component 5), and thalamo-anterior cingulate (component 6) subnetworks (p<0.05, family-wise error corrected). Higher levels of functional connectivity in components 1~2 (β=0.45, p=0.04) and lower levels of functional connectivity in components 3~6 (β=-0.49, p=0.047) were significantly correlated with higher levels of pain catastrophizing in CRPS patients. Higher functional connectivity in the somatosensory subnetworks implicating exaggerated pain perception and lower functional connectivity in the prefronto-parieto-cingulo-thalamic subnetworks indicating impaired cognitive-affective pain processing may underlie pain catastrophizing in CRPS.

Water beads are dangerous foreign bodies causing intestinal obstruction in young children because the beads absorb water and are radiolucent. Although the features lead to progressive intestinal obstruction, it is difficult to diagnose ingestion of the beads by imaging studies. For the diagnosis, ultrasonography is safe, fast, and accurate. The imaging modality can show intestinal water beads as spherical, anechoic, smoothly demarcated cysts. This characteristic finding may be more useful in rapid and accurate diagnosis than computed tomography scan. We report a case of an 8-month-old boy who obtained a timely sonographic diagnosis of water bead-induced small bowel obstruction in the emergency department.

Background/Aims: We examined the concordance rate among fasting plasma glucose (FPG), 2-hour post-challenge glucose (2hr PG), and hemoglobin A1c (HbA1c) in the diagnosis of diabetes in a population with a high-risk for type 2 diabetes mellitus (T2DM) in Korea. Methods: Among the participants from the Korean Diabetes Prevention Study, individuals with FPG ≥ 100 mg/dL, body mass index (BMI) ≥ 23.0 kg/m2, and no previous history of T2DM were consecutively enrolled after a 75 g glucose tolerance test. We analyzed the differences in the clinical characteristics in subjects with stage 1 (FPG, 100 to 109 mg/dL) and stage 2 (FPG, 110 to 125 mg/dL) impaired fasting glucose (IFG). Results: Of 1,637 participants, 27.2% had T2DM and 59.3% had IFG and/or impaired glucose tolerance (IGT). The mean age was 55.0 ± 8.1 years and the mean BMI was 26.3 ± 2.7 kg/m2. Based on FPG criteria, 515 (31.4%) and 352 (21.5%) subjects were classified as having stage 1 and stage 2 IFG, respectively. The 19.0% of stage 1 and 43.5% of stage 2 subjects showed 2hr PG levels in the diabetic range. Even for those in the normal FPG range, 63 (9.5%) participants showed a 2hr PG level of ≥ 200 mg/dL. Of 446 subjects with newly-diagnosed diabetes, 340 (76.2%) showed FPG levels < 126 mg/dL. Conclusions The oral glucose tolerance test should be actively considered for Korean adults who are overweight or obese with the IFG range (FPG, 100 to 125 mg/ dL) to allow for early detection of diabetes and prompt intervention.