Background: Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines. Methods: We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed. Results: A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%). Conclusion Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.

Purpose: This study analyzed the influence of dietary lifestyle and nutritional knowledge on the online food-purchasing behaviors of adults in Jeju. Methods: The study sampled 300 adults aged 18 to 69 years in Jeju, excluding incomplete responses or declined consent. The data were analyzed using the SPSS Win Program (ver 21.0), using principal component analysis, cluster analysis, frequency analysis, χ2-test, t-test, and analysis of variance. The significant results were examined using a Duncan’s multiplerange test. The survey questions assessed participants’ demographic information, dietary lifestyle, nutritional knowledge, and online food-purchasing habits. Results: Among the participants, dietary lifestyles could be classified into health-seeking, convenience-seeking, and taste-seeking clusters, with each showing distinct characteristics regarding nutrition knowledge and online food purchase behaviors. In particular, the ‘convenience-seeking’ cluster showed lower health-consciousness and nutrition knowledge and preferred convenience foods, while the ‘health-seeking’ cluster exhibited moderate nutrition knowledge and favored functional foods. The ‘diet-conscious’ cluster showed a higher level of nutritional awareness and made more frequent online purchases, particularly health and convenience foods. Furthermore, individuals with high nutrition knowledge were more focused on food labeling and verification. Moreover, dietary lifestyles significantly influenced consumer behaviors regarding online food purchases, including product preferences and the depth of food information reviewed. Conclusion This study underscores the fundamental role of dietary lifestyles and nutritional knowledge in shaping consumer behaviors regarding online food purchases among Jeju residents. These findings provide a foundation for developing tailored nutrition education materials that align with diverse dietary lifestyles. Furthermore, these insights can guide online food retailers in optimizing product information and marketing strategies to cater to the preferences of major consumer groups.

Purpose: This study aimed to investigate whether levetiracetam (LEV), the most used antiepileptic drug, influences survival in patients with glioblastoma (GBM), using a national database. Materials and Methods: This study used data from the Korea Health Insurance Review and Assessment database. Patients diagnosed with GBM between 2007-2018 treated with standard therapy were included. The study population was divided into long-term (≥ 60 days) and short-term (< 30 days) LEV groups. A separate long-term valproic acid (VPA) group (≥ 60 days) was identified for comparison. Demographics, disease characteristics, and treatment parameters were collected. Kaplan-Meier method and Cox regression were used to compare survival outcomes between the groups. Results: Overall, 2,971 patients were included, with 1,319 and 1,652 in the short-term and long-term LEV groups, respectively. The median overall survival (OS) for the entire population was 19.15 months post-surgery. Kaplan-Meier analysis revealed a significantly longer median OS in the long-term LEV group versus the short-term LEV group. After adjusting for confounders, Cox proportional hazard analysis revealed an association of long-term LEV use with improved survival, which was also observed in a subgroup analysis of patients without preoperative seizure history. The long-term LEV group demonstrated longer median OS, compared with the long-term VPA group. Conclusion Our nationwide population-based study found an association between long-term LEV use and improved survival in patients with GBM, regardless of preoperative seizure history. Prospective studies are needed to validate these findings and investigate the potential impact of LEV on the survival outcomes of patients with GBM.

Background: Coronavirus disease 2019 (COVID-19) is a newly emerged infectious disease that needs further clinical investigation. Characterizing the temporal pattern of combined infections in patients with COVID-19 may help clinicians understand the clinical nature of this disease and provide valuable diagnostic and therapeutic guidelines. Methods: We retrospectively analyzed COVID-19 patients isolated in four study hospitals in Korea for one year period from May 2021 to April 2022 when the delta and omicron variants were dominant. The temporal characteristics of combined infections based on specific diagnostic tests were analyzed. Results: A total of 16,967 COVID-19 patients were screened, 2,432 (14.3%) of whom underwent diagnostic microbiologic tests according to the clinical decision-making, 195 of whom had positive test results, and 0.55% (94/16,967) of whom were ultimately considered to have clinically meaningful combined infections. The median duration for the diagnosis of combined infections was 15 (interquartile range [IQR], 5–25) days after admission. The proportion of community-acquired coinfections (≤ 2 days after admission) was 11.7% (11/94), which included bacteremia (10/94, 10.63%) and tuberculosis (1/94, 1.06%). Combined infections after 2 days of admission were diagnosed at median 16 (IQR, 9–26) days, and included bacteremia (72.3%), fungemia (19.3%), cytomegalovirus (CMV) diseases (8.4%), Pneumocystis jerovecii pneumonia (PJP, 8.4%) and invasive pulmonary aspergillosis (IPA, 4.8%). Conclusion Among COVID-19 patients with risk factors for severe complications, 0.55% had laboratory-confirmed combined infections, which included community and nosocomial pathogens in addition to unusual pathogens such as CMV disease, PJP and IPA.

Purpose: This study analyzed the influence of dietary lifestyle and nutritional knowledge on the online food-purchasing behaviors of adults in Jeju. Methods: The study sampled 300 adults aged 18 to 69 years in Jeju, excluding incomplete responses or declined consent. The data were analyzed using the SPSS Win Program (ver 21.0), using principal component analysis, cluster analysis, frequency analysis, χ2-test, t-test, and analysis of variance. The significant results were examined using a Duncan’s multiplerange test. The survey questions assessed participants’ demographic information, dietary lifestyle, nutritional knowledge, and online food-purchasing habits. Results: Among the participants, dietary lifestyles could be classified into health-seeking, convenience-seeking, and taste-seeking clusters, with each showing distinct characteristics regarding nutrition knowledge and online food purchase behaviors. In particular, the ‘convenience-seeking’ cluster showed lower health-consciousness and nutrition knowledge and preferred convenience foods, while the ‘health-seeking’ cluster exhibited moderate nutrition knowledge and favored functional foods. The ‘diet-conscious’ cluster showed a higher level of nutritional awareness and made more frequent online purchases, particularly health and convenience foods. Furthermore, individuals with high nutrition knowledge were more focused on food labeling and verification. Moreover, dietary lifestyles significantly influenced consumer behaviors regarding online food purchases, including product preferences and the depth of food information reviewed. Conclusion This study underscores the fundamental role of dietary lifestyles and nutritional knowledge in shaping consumer behaviors regarding online food purchases among Jeju residents. These findings provide a foundation for developing tailored nutrition education materials that align with diverse dietary lifestyles. Furthermore, these insights can guide online food retailers in optimizing product information and marketing strategies to cater to the preferences of major consumer groups.

Purpose: This study analyzed the influence of dietary lifestyle and nutritional knowledge on the online food-purchasing behaviors of adults in Jeju. Methods: The study sampled 300 adults aged 18 to 69 years in Jeju, excluding incomplete responses or declined consent. The data were analyzed using the SPSS Win Program (ver 21.0), using principal component analysis, cluster analysis, frequency analysis, χ2-test, t-test, and analysis of variance. The significant results were examined using a Duncan’s multiplerange test. The survey questions assessed participants’ demographic information, dietary lifestyle, nutritional knowledge, and online food-purchasing habits. Results: Among the participants, dietary lifestyles could be classified into health-seeking, convenience-seeking, and taste-seeking clusters, with each showing distinct characteristics regarding nutrition knowledge and online food purchase behaviors. In particular, the ‘convenience-seeking’ cluster showed lower health-consciousness and nutrition knowledge and preferred convenience foods, while the ‘health-seeking’ cluster exhibited moderate nutrition knowledge and favored functional foods. The ‘diet-conscious’ cluster showed a higher level of nutritional awareness and made more frequent online purchases, particularly health and convenience foods. Furthermore, individuals with high nutrition knowledge were more focused on food labeling and verification. Moreover, dietary lifestyles significantly influenced consumer behaviors regarding online food purchases, including product preferences and the depth of food information reviewed. Conclusion This study underscores the fundamental role of dietary lifestyles and nutritional knowledge in shaping consumer behaviors regarding online food purchases among Jeju residents. These findings provide a foundation for developing tailored nutrition education materials that align with diverse dietary lifestyles. Furthermore, these insights can guide online food retailers in optimizing product information and marketing strategies to cater to the preferences of major consumer groups.

Spondylocarpotarsal synostosis syndrome (SCTS) is a rare genetic disorder characterized by vertebral fusion, short stature, and skeletal anomalies. SCTS is primarily associated with mutations in filamin B. However, in this report, we present a unique case of SCTS in a 28-year-old male who complained of neck and shoulder pain persisting for 1 year. His clinical presentation included radioulnar synostosis, cervical spine anomalies (scoliosis and agenesis of the posterior arch of C1), and a history of polydactyly. Genetic analysis revealed mutations in GMNN and DLL1. To the best of our knowledge, this is the first report on the association of SCTS with these genes.

Objective: To establish and evaluate the validity of the recently developed Korean version of the Oxford Cognitive Screen (K-OCS), this study verified its reliability, validity, and diagnostic accuracy. Methods: Between November 2021 and December 2023, we recruited 72 patients with stroke from our hospital who agreed to participate in the study. The patients were repeatedly tested using K-OCS by the same or different assessors to estimate inter- and intra-rater reliability. To demonstrate the validity and usability of K-OCS, the test results of screening tools currently used in clinical practice, including the Korean-Mini Mental State Examination and the Korean version of the Montreal Cognitive Assessment, were used in comparison analyses. Results: The subtests of K-OCS demonstrated excellent inter-rater reliability (intra-class correlation coefficient [ICC]=0.914–0.998) and test–retest reliability (ICC=0.913–0.994). We found moderate-to-strong correlations for convergent validity for the subsets (r=0.378– 0.979, p<0.01), and low-to-moderate discriminant validity correlations. The optimal cut-offs estimated for the subtests of the K-OCS showed a good-to-high range of specificity (94.8%– 100%). The positive predictive value was 58.2%–100% and negative predictive value was 65.6%–98.4%. Sensitivity was estimated at 25.6%–86.9%. Conclusion The results of this study indicate that K-OCS is a reliable and valid tool for screening cognitive impairment in patients post-stroke.