Purpose: To investigate the clinical characteristics and genetic features of childhood-onset congenital combined pituitary hormone deficiency (cCPHD) in Korean patients. Methods: We retrospectively analyzed 444 patients diagnosed with childhood-onset CPHD at a tertiary center between 1994 and 2021. After excluding acquired case, 43 patients with cCPHD were enrolled. Anthropometric measurements, hormone evaluations, brain magnetic resonance imaging (MRI), extrapituitary phenotypes, and adult outcomes were analyzed. Genetic analyses were performed on 26 patients using a targeted gene panel or whole exome sequencing. Results: Mean age at diagnosis was 3.2 years, and 41.9% were diagnosed at less than 1 year old. Short stature was the most frequent (37.2%) initial presentation, and mean height z-score was -2.4. More than half (n=23, 53.5%) of patients had neonatal features suggestive of hypopituitarism; however, only 15 (65.2%) were diagnosed in infancy. Growth hormone deficiency (GHD) was prevalent in 42 (97.7%), and 33 (76.7%) had 3 or more hormone deficiencies. Extrapituitary phenotypes were identified in 31 (72.1%). Brain MRI abnormalities correlated with a higher number of hormone deficiencies (P for trend 0.049) and were present in 33 patients (80.5%). Adult GHD was diagnosed in all 17 investigated patients, and metabolic disturbances were noted in 10 (58.9%). Pathogenic variants in POU1F1, GLI2, HESX1, TBC1D32, and ROBO1 were found in 5 (19.2%). Conclusion Considering the high proportion of neonatal presentations, identification of the early neonatal features of hypopituitarism to manage pituitary and extrapituitary phenotypes is critical. The genetic etiology of cCPHD warrants further exploration.

Purpose: To investigate the clinical characteristics and genetic features of childhood-onset congenital combined pituitary hormone deficiency (cCPHD) in Korean patients. Methods: We retrospectively analyzed 444 patients diagnosed with childhood-onset CPHD at a tertiary center between 1994 and 2021. After excluding acquired case, 43 patients with cCPHD were enrolled. Anthropometric measurements, hormone evaluations, brain magnetic resonance imaging (MRI), extrapituitary phenotypes, and adult outcomes were analyzed. Genetic analyses were performed on 26 patients using a targeted gene panel or whole exome sequencing. Results: Mean age at diagnosis was 3.2 years, and 41.9% were diagnosed at less than 1 year old. Short stature was the most frequent (37.2%) initial presentation, and mean height z-score was -2.4. More than half (n=23, 53.5%) of patients had neonatal features suggestive of hypopituitarism; however, only 15 (65.2%) were diagnosed in infancy. Growth hormone deficiency (GHD) was prevalent in 42 (97.7%), and 33 (76.7%) had 3 or more hormone deficiencies. Extrapituitary phenotypes were identified in 31 (72.1%). Brain MRI abnormalities correlated with a higher number of hormone deficiencies (P for trend 0.049) and were present in 33 patients (80.5%). Adult GHD was diagnosed in all 17 investigated patients, and metabolic disturbances were noted in 10 (58.9%). Pathogenic variants in POU1F1, GLI2, HESX1, TBC1D32, and ROBO1 were found in 5 (19.2%). Conclusion Considering the high proportion of neonatal presentations, identification of the early neonatal features of hypopituitarism to manage pituitary and extrapituitary phenotypes is critical. The genetic etiology of cCPHD warrants further exploration.

Purpose: To investigate the clinical characteristics and genetic features of childhood-onset congenital combined pituitary hormone deficiency (cCPHD) in Korean patients. Methods: We retrospectively analyzed 444 patients diagnosed with childhood-onset CPHD at a tertiary center between 1994 and 2021. After excluding acquired case, 43 patients with cCPHD were enrolled. Anthropometric measurements, hormone evaluations, brain magnetic resonance imaging (MRI), extrapituitary phenotypes, and adult outcomes were analyzed. Genetic analyses were performed on 26 patients using a targeted gene panel or whole exome sequencing. Results: Mean age at diagnosis was 3.2 years, and 41.9% were diagnosed at less than 1 year old. Short stature was the most frequent (37.2%) initial presentation, and mean height z-score was -2.4. More than half (n=23, 53.5%) of patients had neonatal features suggestive of hypopituitarism; however, only 15 (65.2%) were diagnosed in infancy. Growth hormone deficiency (GHD) was prevalent in 42 (97.7%), and 33 (76.7%) had 3 or more hormone deficiencies. Extrapituitary phenotypes were identified in 31 (72.1%). Brain MRI abnormalities correlated with a higher number of hormone deficiencies (P for trend 0.049) and were present in 33 patients (80.5%). Adult GHD was diagnosed in all 17 investigated patients, and metabolic disturbances were noted in 10 (58.9%). Pathogenic variants in POU1F1, GLI2, HESX1, TBC1D32, and ROBO1 were found in 5 (19.2%). Conclusion Considering the high proportion of neonatal presentations, identification of the early neonatal features of hypopituitarism to manage pituitary and extrapituitary phenotypes is critical. The genetic etiology of cCPHD warrants further exploration.

β-glucan, a polysaccharide found in various sources, exhibits unique physicochemical properties, yet its high polymerization limits clinical applications because of its solubility. Addressing this limitation, we introduce PPTEE-glycan, a highly purified solubleβ-1,3/1,6-glucan derived from Aureobasidium pullulans. The refined PPTEE-glycan demonstrated robust immune stimulation in vitro, activated dendritic cells, and enhanced co-stimulatory markers, cytokines, and cross-presentation. Formulated as a PPTEE + microemulsion (ME), it elevated immune responses in vivo, promoting antigen-specific antibodies and CD8+ T cell proliferation.Intratumoral administration of PPTEE + ME in tumor-bearing mice induced notable tumor regression, which was linked to the activation of immunosuppressive cells. This study highlights the potential of high-purity Aureobasidium pullulans-derived β-glucan, particularly PPTEE, as promising immune adjuvants, offering novel avenues for advancing cancer immunotherapy.

Objective: To investigate whether reader training improves the performance and agreement of radiologists in interpreting unenhanced breast magnetic resonance imaging (MRI) scans using diffusion-weighted imaging (DWI). Materials and Methods: A study of 96 breasts (35 cancers, 24 benign, and 37 negative) in 48 asymptomatic women was performed between June 2019 and October 2020. High-resolution DWI with b-values of 0, 800, and 1200 sec/mm 2 was performed using a 3.0-T system. Sixteen breast radiologists independently reviewed the DWI, apparent diffusion coefficient maps, and T1-weighted MRI scans and recorded the Breast Imaging Reporting and Data System (BI-RADS) category for each breast. After a 2-h training session and a 5-month washout period, they re-evaluated the BI-RADS categories. A BI-RADS category of 4 (lesions with at least two suspicious criteria) or 5 (more than two suspicious criteria) was considered positive.The per-breast diagnostic performance of each reader was compared between the first and second reviews. Inter-reader agreement was evaluated using a multi-rater κ analysis and intraclass correlation coefficient (ICC). Results: Before training, the mean sensitivity, specificity, and accuracy of the 16 readers were 70.7% (95% confidence interval [CI]: 59.4–79.9), 90.8% (95% CI: 85.6–94.2), and 83.5% (95% CI: 78.6–87.4), respectively. After training, significant improvements in specificity (95.2%; 95% CI: 90.8–97.5; P = 0.001) and accuracy (85.9%; 95% CI: 80.9–89.8; P = 0.01) were observed, but no difference in sensitivity (69.8%; 95% CI: 58.1–79.4; P = 0.58) was observed. Regarding inter-reader agreement, the κ values were 0.57 (95% CI: 0.52–0.63) before training and 0.68 (95% CI: 0.62–0.74) after training, with a difference of 0.11 (95% CI: 0.02–0.18; P = 0.01). The ICC was 0.73 (95% CI: 0.69–0.74) before training and 0.79 (95% CI: 0.76–0.80) after training (P = 0.002). Conclusion Brief reader training improved the performance and agreement of interpretations by breast radiologists using unenhanced MRI with DWI.

Background: The coronavirus disease 2019 (COVID-19) pandemic has caused the death of thousands of patients worldwide. Although age is known to be a risk factor for morbidity and mortality in COVID-19 patients, critical illness or death is occurring even in the younger age group as the epidemic spreads. In early 2022, omicron became the dominant variant of the COVID-19 virus in South Korea, and the epidemic proceeded on a large scale. Accordingly, this study aimed to determine whether young adults (aged ≤ 50 years) with critical COVID-19 infection during the omicron period had different characteristics from older patients and to determine the risk factors for mortality in this specific age group. Methods: We evaluated 213 critical adult patients (high flow nasal cannula or higher respiratory support) hospitalized for polymerase chain reaction-confirmed COVID-19 in nine hospitals in South Korea between February 1, 2022 and April 30, 2022. Demographic characteristics, including body mass index (BMI) and vaccination status; underlying diseases; clinical features and laboratory findings; clinical course; treatment received; and outcomes were collected from electronic medical records (EMRs) and analyzed according to age and mortality. Results: Overall, 71 critically ill patients aged ≤ 50 years were enrolled, and 142 critically ill patients aged over 50 years were selected through 1:2 matching based on the date of diagnosis. The most frequent underlying diseases among those aged ≤ 50 years were diabetes and hypertension, and all 14 patients who died had either a BMI ≥ 25 kg/m 2 or an underlying disease. The total case fatality rate among severe patients (S-CFR) was 31.0%, and the S-CFR differed according to age and was higher than that during the delta period. The S-CFR was 19.7% for those aged ≤ 50 years, 36.6% for those aged > 50 years, and 38.1% for those aged ≥ 65 years. In multivariate analysis, age (odds ratio [OR], 1.084; 95% confidence interval [CI], 1.043–1.127), initial low-density lipoprotein > 600 IU/L (OR, 4.782; 95% CI, 1.584–14.434), initial C-reactive protein > 8 mg/dL (OR, 2.940; 95% CI, 1.042–8.293), highest aspartate aminotransferase > 200 IU/L (OR, 12.931; 95% CI, 1.691–98.908), and mechanical ventilation implementation (OR, 3.671; 95% CI, 1.294–10.420) were significant independent predictors of mortality in critical COVID-19 patients during the omicron wave. A similar pattern was shown when analyzing the data by age group, but most had no statistical significance owing to the small number of deaths in the young critical group. Although the vaccination completion rate of all the patients (31.0%) was higher than that in the delta wave period (13.6%), it was still lower than that of the general population. Further, only 15 (21.1%) critically ill patients aged ≤ 50 years were fully vaccinated. Overall, the severity of hospitalized critical patients was significantly higher than that in the delta period, indicating that it was difficult to find common risk factors in the two periods only with a simple comparison. Conclusion Overall, the S-CFR of critically ill COVID-19 patients in the omicron period was higher than that in the delta period, especially in those aged ≤ 50 years. All of the patients who died had an underlying disease or obesity. In the same population, the vaccination rate was very low compared to that in the delta wave, indicating that non-vaccination significantly affected the progression to critical illness. Notably, there was a lack of prescription for Paxlovid for these patients although they satisfied the prescription criteria. Early diagnosis and active initial treatment was necessary, along with the proven methods of vaccination and personal hygiene. Further studies are needed to determine how each variant affects critically ill patients.

Background: Discontinuing growth hormone (GH) treatment during the transition to adulthood has been associated with adverse health outcomes in patients with childhood-onset growth hormone deficiency (CO-GHD). This study investigated the metabolic changes associated with interrupting GH treatment in adolescents with CO-GHD during the transition period. Methods: This study included 187 patients with CO-GHD who were confirmed to have adult GHD and were treated at six academic centers in Korea. Data on clinical parameters, including anthropometric measurements, metabolic profiles, and bone mineral density (BMD) at the end of childhood GH treatment, were collected at the time of re-evaluation for GHD and 1 year after treatment resumption. Results: Most patients (n=182, 97.3%) had organic GHD. The median age at treatment discontinuation and re-evaluation was 15.6 and 18.7 years, respectively. The median duration of treatment interruption was 2.8 years. During treatment discontinuation, body mass index Z-scores and total cholesterol, low-density lipoprotein, and non-high-density lipoprotein (HDL) cholesterol levels increased, whereas fasting glucose levels decreased. One year after GH treatment resumption, fasting glucose levels, HDL cholesterol levels, and femoral neck BMD increased significantly. Longer GH interruption (>2 years, 60.4%) resulted in worse lipid profiles at re-evaluation. The duration of interruption was positively correlated with fasting glucose and non-HDL cholesterol levels after adjusting for covariates. Conclusion GH treatment interruption during the transition period resulted in worse metabolic parameters, and a longer interruption period was correlated with poorer outcomes. GH treatment should be resumed early in patients with CO-GHD during the transition period.