Purpose: Cannabidiol (CBD) is a promising treatment option for pediatric drug-resistant epilepsy (DRE). The aim of this study was to assess the tolerability and safety of CBD in a single-center retrospective cohort based on real-world clinical experience. Methods: This study included 71 pediatric patients (median age, 8.9 years; interquartile range [IQR], 6.2 to 14.0) with Lennox–Gastaut syndrome who received purified CBD (Epidiolex, GW Pharmaceuticals) between March 2019 and July 2024. All patients had previously failed treatment with more than five anti-seizure medications (ASMs). Responder rate (≥50% seizure frequency reduction), retention rate, adverse effects (AEs), and predictors of favorable treatment response were analyzed over a median follow-up of 21.3 months (IQR, 2.8 to 38.5). Results: The initial responder rate during the first 3 months was 45.1%, which increased to 70.8% at 18 months and 63.0% at 24 months. The retention rate at 24 months was 52.4% (33/71). Seven patients (9.9%) achieved seizure freedom beyond 24 months of CBD therapy, and five of these patients were able to reduce their concomitant ASM burden. AEs were observed in 39.4% (28/71) of patients, with the most frequent being somnolence (20 cases) and increased seizure frequency (six cases); 92.9% of AEs occurred within the first 3 months of treatment. No serious AEs requiring treatment discontinuation were identified. Conclusion In this real-world study, CBD demonstrated potential as an adjunctive therapy with manageable AEs. These findings highlight that CBD can reduce seizure frequency while maintaining tolerability in pediatric patients with DRE.

Background: and Purpose To determine the clinical phenotypes, relapse timing, treatment responses, and outcomes of children with relapsing myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). Methods: We collected the demographic, clinical, laboratory, and radiological data of patients aged <18 years who had been diagnosed with MOGAD at Seoul National University Children’s Hospital between January 2010 and January 2022; 100 were identified as positive for MOG antibodies, 43 of whom experienced relapse. Results: The median age at onset was 7 years (range 2–16 years). The median number of relapses was 2 (range 1–8), and patients were followed up for a median of 65 months (range 5–214 months). The first relapse was experienced before 3 months from onset by 15 patients (34.9%). The most-common initial phenotypes were acute disseminated encephalomyelitis (n=17, 39.5%) and optic neuritis (ON; n=11, 25.6%). The most-common relapse phenotypes were neuromyelitis optica spectrum disorder (n=9, 20.9%), relapsing ON (n=6, 14.0%), and multiphasic disseminated encephalomyelitis (n=6, 14.0%). Many of the patients (n=18, 41.9%) were not specifically categorized. A high proportion of these patients had non-acute disseminated encephalomyelitis encephalitis. Atypical phenotypes such as prolonged fever or hemiplegic migraine-like episodes were also noted. Mycophenolate mofetil and cyclic immunoglobulin treatment significantly reduced the annual relapse rates. Conclusions Our 43 pediatric patients with relapsing MOGAD showed a tendency toward early relapse and various relapse phenotypes. The overall prognoses of these patients were good regardless of phenotype or response to second-line immunosuppressant treatment.

Background: and Purpose To determine the clinical phenotypes, relapse timing, treatment responses, and outcomes of children with relapsing myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). Methods: We collected the demographic, clinical, laboratory, and radiological data of patients aged <18 years who had been diagnosed with MOGAD at Seoul National University Children’s Hospital between January 2010 and January 2022; 100 were identified as positive for MOG antibodies, 43 of whom experienced relapse. Results: The median age at onset was 7 years (range 2–16 years). The median number of relapses was 2 (range 1–8), and patients were followed up for a median of 65 months (range 5–214 months). The first relapse was experienced before 3 months from onset by 15 patients (34.9%). The most-common initial phenotypes were acute disseminated encephalomyelitis (n=17, 39.5%) and optic neuritis (ON; n=11, 25.6%). The most-common relapse phenotypes were neuromyelitis optica spectrum disorder (n=9, 20.9%), relapsing ON (n=6, 14.0%), and multiphasic disseminated encephalomyelitis (n=6, 14.0%). Many of the patients (n=18, 41.9%) were not specifically categorized. A high proportion of these patients had non-acute disseminated encephalomyelitis encephalitis. Atypical phenotypes such as prolonged fever or hemiplegic migraine-like episodes were also noted. Mycophenolate mofetil and cyclic immunoglobulin treatment significantly reduced the annual relapse rates. Conclusions Our 43 pediatric patients with relapsing MOGAD showed a tendency toward early relapse and various relapse phenotypes. The overall prognoses of these patients were good regardless of phenotype or response to second-line immunosuppressant treatment.

Background: and Purpose To determine the clinical phenotypes, relapse timing, treatment responses, and outcomes of children with relapsing myelin oligodendrocyte glycoprotein antibody-associated disease (MOGAD). Methods: We collected the demographic, clinical, laboratory, and radiological data of patients aged <18 years who had been diagnosed with MOGAD at Seoul National University Children’s Hospital between January 2010 and January 2022; 100 were identified as positive for MOG antibodies, 43 of whom experienced relapse. Results: The median age at onset was 7 years (range 2–16 years). The median number of relapses was 2 (range 1–8), and patients were followed up for a median of 65 months (range 5–214 months). The first relapse was experienced before 3 months from onset by 15 patients (34.9%). The most-common initial phenotypes were acute disseminated encephalomyelitis (n=17, 39.5%) and optic neuritis (ON; n=11, 25.6%). The most-common relapse phenotypes were neuromyelitis optica spectrum disorder (n=9, 20.9%), relapsing ON (n=6, 14.0%), and multiphasic disseminated encephalomyelitis (n=6, 14.0%). Many of the patients (n=18, 41.9%) were not specifically categorized. A high proportion of these patients had non-acute disseminated encephalomyelitis encephalitis. Atypical phenotypes such as prolonged fever or hemiplegic migraine-like episodes were also noted. Mycophenolate mofetil and cyclic immunoglobulin treatment significantly reduced the annual relapse rates. Conclusions Our 43 pediatric patients with relapsing MOGAD showed a tendency toward early relapse and various relapse phenotypes. The overall prognoses of these patients were good regardless of phenotype or response to second-line immunosuppressant treatment.

Purpose: To evaluate clinical outcomes including changes in high-order aberrations (HOAs), after cataract surgery using a monofocal extended-depth-of-focus (EDoF) intraocular lens (IOL) in patients with retinal diseases. Methods: A total of 29 eyes of 26 patients with cataract and retinal disease underwent cataract surgery using a monofocal EDoF IOL (TECNIS Eyhance® ICB00). The improvement in high-order aberrations, visual discomfort, and intermediate visual acuity after the surgery were investigated. Results: The total ocular HOA, internal HOA, and coma aberration were significantly reduced from 0.390 ± 0.225 μm, 0.346 ± 0.275 μm, and 0.228 ± 0.184 μm, respectively before the surgery, to 0.214 ± 0.108 μm, 0.218 ± 0.111 μm, and 0.101 ± 0.076 μm 3 months after the surgery. Trefoil and spherical aberrations were reduced from 0.167 ± 0.109 μm, 0.046 ± 0.155 μm to 0.107 ± 0.091 μm, 0.003 ± 0.055 μm respectively after the surgery, but not statistically significant (p = 0.059, p = 0.154). In the analysis of potential visual complaints, Blur/ Double vision, Glare/Halo and Starburst score were 1.35 ± 1.23, 0.72 ± 1.00 and 1.21 ± 1.18 preoperatively, and 0.41 ± 0.87, 0.17 ± 0.38, and 0.52 ± 0.74 postoperatively. They all showed statistically significant decreases (p < 0.001, p = 0.011, p = 0.024). At 3 months after surgery, intermediate visual acuity converted to logarithm of the minimal angle of resolution (LogMAR) was LogMAR 0.29 ± 0.31 and the median visual acuity was 0.19. Conclusions In patients with cataracts combined with retinal disease, a significant reduction in HOAs and visual discomfort were observed after cataract surgery using monofocal EDoF IOLs.

Objectives: Early diagnosis of upper gastrointestinal (UGI) amyloidosis and the establishment of appropriate treatment and follow-up strategies remains challenging. This study aimed to elucidate the endoscopic characteristics and clinical courses of patients with isolated UGI amyloidosis. Methods: We retrospectively reviewed 11 patients diagnosed with isolated UGI amyloidosis at Chonnam National University Hospital and Chonnam National University Hwasun Hospital. None of the patients exhibited systemic involvement or multiple myeloma. Clinical data, including endoscopic features, presenting symptoms, and outcomes such as disease progression and mortality, were analyzed. Results: The cohort included seven males (63.6%) and four females (36.4%), with a median age of 72 (37–82) years. Isolated gastric amyloidosis was identified in four patients, and five patients had disease confined to the duodenum. Two patients (18.2%) presented with gastric or duodenal involvement. Endoscopic findings were heterogeneous, with diffuse yellowish linear lesions being the most frequently observed in four patients (36.4%). Histopathological analysis revealed AA amyloidosis in three patients, whereas five patients exhibited only amorphous deposits without amyloid A, amyloid P, or light chains. Six patients (54.5%) were asymptomatic at diagnosis, whereas gastrointestinal bleeding was observed in two patients (18.2%). Only one patient (9.1%) experienced disease progression that necessitated systemic chemotherapy. The mean follow-up duration was 20 months, and the 3-year mortality rate was 9.1%. Conclusions Isolated UGI amyloidosis is a heterogeneous condition that can be easily misdiagnosed. Familiarity with the characteristic endoscopic features and natural disease course is essential for appropriate management.

Purpose: Tubulinopathy represents a group of disorders caused by variants in tubulin genes, which present with a wide spectrum of brain malformations. This study was conducted to provide insight into the phenotypic and genetic spectra of tubulinopathy within the Korean pediatric population. Methods: Among individuals who underwent genetic testing at a pediatric neurology clinic between June 2011 and December 2021, 15 patients with tubulin gene variants were retrospectively recruited. Clinical features, genetic information, and brain imaging findings were retrospectively reviewed. Results: The genetic spectra of the patients included TUBA1A (n=5, 33.3%), TUBB4A (n=6, 40.0%), TUBB3 (n=2, 13.3%), TUBB (n=1, 6.7%), and TUBB2A (n=1, 6.7%) variants. Two novel mutations were identified: a c.497A>G; p.(Lys166Arg) variant in TUBA1A and a c.907G>C; p.(Ala303Pro) variant in TUBB. All 15 patients exhibited developmental delays, with a broad spectrum of severity. Other common manifestations included microcephaly (n=10; 66.7%) and seizures (n=9; 60%). A review of the neuroimaging data revealed a range of findings that were both genotype-specific and overlapping across genotypes. In cases of TUBA1A mutation (n=5), four patients (80%) presented with pachygyria and polymicrogyria, while three (60%) displayed cerebellar hypoplasia and dysplasia. All patients with TUBB4A variants (n=6) exhibited hypomyelination, and three (50%) had cerebellar dysplasia. Conclusion This study represents the first cohort analysis of tubulin gene mutations associated with tubulinopathy in a Korean pediatric population. It suggests that these mutations can produce a broad spectrum of neurodevelopmental and neuroimaging findings and should be considered within the differential diagnosis in relevant clinical scenarios.

Objectives: Sepsis is a leading global cause of mortality, and predicting its outcomes is vital for improving patient care. This study explored the capabilities of ChatGPT, a state-of-the-art natural language processing model, in predicting in-hospital mortality for sepsis patients. Methods: This study utilized data from the Korean Sepsis Alliance (KSA) database, collected between 2019 and 2021, focusing on adult intensive care unit (ICU) patients and aiming to determine whether ChatGPT could predict all-cause mortality after ICU admission at 7 and 30 days. Structured prompts enabled ChatGPT to engage in in-context learning, with the number of patient examples varying from zero to six. The predictive capabilities of ChatGPT-3.5-turbo and ChatGPT-4 were then compared against a gradient boosting model (GBM) using various performance metrics. Results: From the KSA database, 4,786 patients formed the 7-day mortality prediction dataset, of whom 718 died, and 4,025 patients formed the 30-day dataset, with 1,368 deaths. Age and clinical markers (e.g., Sequential Organ Failure Assessment score and lactic acid levels) showed significant differences between survivors and non-survivors in both datasets. For 7-day mortality predictions, the area under the receiver operating characteristic curve (AUROC) was 0.70–0.83 for GPT-4, 0.51–0.70 for GPT-3.5, and 0.79 for GBM. The AUROC for 30-day mortality was 0.51–0.59 for GPT-4, 0.47–0.57 for GPT-3.5, and 0.76 for GBM. Zero-shot predictions using GPT-4 for mortality from ICU admission to day 30 showed AUROCs from the mid-0.60s to 0.75 for GPT-4 and mainly from 0.47 to 0.63 for GPT-3.5. Conclusions GPT-4 demonstrated potential in predicting short-term in-hospital mortality, although its performance varied across different evaluation metrics.

Background: Worldwide, sepsis is the leading cause of death in hospitals. If mortality rates in patients with sepsis can be predicted early, medical resources can be allocated efficiently. We constructed machine learning (ML) models to predict the mortality of patients with sepsis in a hospital emergency department. Methods: This study prospectively collected nationwide data from an ongoing multicenter cohort of patients with sepsis identified in the emergency department. Patients were enrolled from 19 hospitals between September 2019 and December 2020. For acquired data from 3,657 survivors and 1,455 deaths, six ML models (logistic regression, support vector machine, random forest, extreme gradient boosting [XGBoost], light gradient boosting machine, and categorical boosting [CatBoost]) were constructed using fivefold cross-validation to predict mortality. Through these models, 44 clinical variables measured on the day of admission were compared with six sequential organ failure assessment (SOFA) components (PaO 2 /FIO 2 [PF], platelets (PLT), bilirubin, cardiovascular, Glasgow Coma Scale score, and creatinine).The confidence interval (CI) was obtained by performing 10,000 repeated measurements via random sampling of the test dataset. All results were explained and interpreted using Shapley’s additive explanations (SHAP). Results: Of the 5,112 participants, CatBoost exhibited the highest area under the curve (AUC) of 0.800 (95% CI, 0.756–0.840) using clinical variables. Using the SOFA components for the same patient, XGBoost exhibited the highest AUC of 0.678 (95% CI, 0.626–0.730). As interpreted by SHAP, albumin, lactate, blood urea nitrogen, and international normalization ratio were determined to significantly affect the results. Additionally, PF and PLTs in the SOFA component significantly influenced the prediction results. Conclusion Newly established ML-based models achieved good prediction of mortality in patients with sepsis. Using several clinical variables acquired at the baseline can provide more accurate results for early predictions than using SOFA components. Additionally, the impact of each variable was identified.

Background: The benefits of transradial access (TRA) over transfemoral access (TFA) for bifurcation percutaneous coronary intervention (PCI) are uncertain because of the limited availability of device selection. This study aimed to compare the procedural differences and the in-hospital and long-term outcomes of TRA and TFA for bifurcation PCI using secondgeneration drug-eluting stents (DESs). Methods: Based on data from the Coronary Bifurcation Stenting Registry III, a retrospective registry of 2,648 patients undergoing bifurcation PCI with second-generation DES from 21 centers in South Korea, patients were categorized into the TRA group (n = 1,507) or the TFA group (n = 1,141). After propensity score matching (PSM), procedural differences, in-hospital outcomes, and device-oriented composite outcomes (DOCOs; a composite of cardiac death, target vessel-related myocardial infarction, and target lesion revascularization) were compared between the two groups (772 matched patients each group). Results: Despite well-balanced baseline clinical and lesion characteristics after PSM, the use of the two-stent strategy (14.2% vs. 23.7%, P = 0.001) and the incidence of in-hospital adverse outcomes, primarily driven by access site complications (2.2% vs. 4.4%, P = 0.015), were significantly lower in the TRA group than in the TFA group. At the 5-year follow-up, the incidence of DOCOs was similar between the groups (6.3% vs. 7.1%, P = 0.639). Conclusion The findings suggested that TRA may be safer than TFA for bifurcation PCI using second-generation DESs. Despite differences in treatment strategy, TRA was associated with similar long-term clinical outcomes as those of TFA. Therefore, TRA might be the preferred access for bifurcation PCI using second-generation DES.