Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

Background/Aims: Infliximab treatment failure in patients with inflammatory bowel disease may result from sub-optimal infliximab trough level. An understanding of pharmacokinetics (PKs) is important to maintain an optimal trough level. PK studies of the switch to subcutaneous (SC) infliximab from intravenous (IV) infliximab using real-world data are lacking. We aimed to develop a population PK model of IV and SC infliximab to predict individual infliximab exposure during maintenance therapy. Methods: We used data from prospectively collected data on IV and SC infliximab concentrations in patients with inflammatory bowel disease receiving maintenance treatment from February 2020 to December 2022 at Samsung Medical Center. Population PK analysis was conducted by using a two-compartment model with first-order absorption and first-order elimination. Goodness-of-fit plots and visual predictive check were used to evaluate the PK model. Results: A total of 2,132 samples from 181 patients (149 Crohn’s disease and 32 ulcerative colitis) were analyzed. We developed an infliximab population PK model using body mass index, albumin, C-reactive protein level, and the anti-drug antibody level and validated its predictive performance. Conclusions It may be possible to predict the infliximab trough level of both IV and SC infliximab in patients with inflammatory bowel disease during maintenance treatment by using our model in real-world practice.

Purpose: This study aimed to identify predictive factors affecting adolescents’ subjective happiness using data from the 2023 Korea Youth Risk Behavior Survey. A random forest model was applied to determine the strongest predictive factors, and its predictive performance was compared with traditional regression models. Methods: Responses from a total of 44,320 students from grades 7 to 12 were analyzed. Data pre-processing involved handling missing values and selecting variables to construct an optimal dataset. The random forest model was employed for prediction, and SHAP (Shapley Additive Explanations) analysis was used to assess variable importance. Results: The random forest model demonstrated a stable predictive performance, with an R2 of .37. Mental and physical health factors were found to significantly affect subjective happiness. Adolescents’ subjective happiness was most strongly influenced by perceived stress, perceived health, experiences of loneliness, generalized anxiety disorder, suicidal ideation, economic status, fatigue recovery from sleep, and academic performance. Conclusion This study highlights the utility of machine learning in identifying factors influencing adolescents’ subjective happiness, addressing limitations of traditional regression approaches. These findings underscore the need for multidimensional interventions to improve mental and physical health, reduce stress and loneliness, and provide integrated support from schools and communities to enhance adolescents’ subjective happiness.

Background: and Purpose Previous research on patients with acute ischemic stroke (AIS) has shown a 0.5% incidence of major gastrointestinal bleeding (GIB) requiring blood transfusion during hospitalization. The existing literature has insufficiently explored the long-term incidence in this population despite the decremental impact of GIB on stroke outcomes. Methods: We analyzed the data from a cohort of patients with AIS admitted to 14 hospitals as part of a nationwide multicenter prospective stroke registry between 2011 and 2013. These patients were followed up for up to 6 years. The occurrence of major GIB events, defined as GIB necessitating at least two units of blood transfusion, was tracked using the National Health Insurance Service claims data. Results: Among 10,818 patients with AIS (male, 59%; mean age, 68±13 years), 947 (8.8%) experienced 1,224 episodes of major GIB over a median follow-up duration of 3.1 years. Remarkably, 20% of 947 patients experienced multiple episodes of major GIB. The incidence peaked in the first month after AIS, reaching 19.2 per 100 person-years, and gradually decreased to approximately one-sixth of this rate by the 2nd year with subsequent stabilization. Multivariable analysis identified the following predictors of major GIB: anemia, estimated glomerular filtration rate <60 mL/min/1.73 m2 , and a 3-month modified Rankin Scale score of ≥4. Conclusion Patients with AIS are susceptible to major GIB, particularly in the first month after the onset of AIS, with the risk decreasing thereafter. Implementing preventive strategies may be important, especially for patients with anemia and impaired renal function at stroke onset and those with a disabling stroke.

The role of acetylated apurinic/apyrimidinic endonuclease 1/redox factor 1 (APE1/Ref-1) in ovarian cancer remains poorly understood. Therefore, this study aimed to investigate the combined effect of recombinant human APE1/Ref-1 (rhAPE1/Ref-1) and aspirin (ASA) on two ovarian cancer cells, PEO-14, and CAOV3.The viability and apoptosis of ovarian cancer cells treated with rhAPE1/Ref-1 or ASA were assessed. Our results demonstrated that ASA induced rhAPE1/Ref-1 acetylation and widespread hyperacetylation in PEO-14 cells. Additionally, co-treatment with rhAPE1/Ref-1 and ASA substantially reduced cell viability and induced PEO-14 cell apoptosis, not CAOV3, in a dose-dependent manner. ASA increased the expression and membrane localization of the receptor for advanced glycation endproducts (RAGEs). Acetylated APE1/Ref-1 showed enhanced binding to RAGEs. In contrast, RAGE knockdown reduced cell death and poly(ADP-ribose) polymerase cleavage caused by rhAPE1/Ref-1 and ASA combination treatment, highlighting the importance of the APE1/Ref-1-RAGE interaction in triggering apoptosis. Moreover, combination treatment with rhAPE1/Ref-1 and ASA effectively induced apoptosis in 3D spheroid cultures of PEO-14 cells, a model that better mimics the tumor microenvironment. These results demonstrate that acetylated APE1/Ref-1 and its interaction with RAGE is a potential therapeutic target for ovarian cancer. Thus, the combination of ASA and APE1/Ref-1 may offer a promising new strategy for inducing cancer cell death.

Purpose: This study aimed to identify predictive factors affecting adolescents’ subjective happiness using data from the 2023 Korea Youth Risk Behavior Survey. A random forest model was applied to determine the strongest predictive factors, and its predictive performance was compared with traditional regression models. Methods: Responses from a total of 44,320 students from grades 7 to 12 were analyzed. Data pre-processing involved handling missing values and selecting variables to construct an optimal dataset. The random forest model was employed for prediction, and SHAP (Shapley Additive Explanations) analysis was used to assess variable importance. Results: The random forest model demonstrated a stable predictive performance, with an R2 of .37. Mental and physical health factors were found to significantly affect subjective happiness. Adolescents’ subjective happiness was most strongly influenced by perceived stress, perceived health, experiences of loneliness, generalized anxiety disorder, suicidal ideation, economic status, fatigue recovery from sleep, and academic performance. Conclusion This study highlights the utility of machine learning in identifying factors influencing adolescents’ subjective happiness, addressing limitations of traditional regression approaches. These findings underscore the need for multidimensional interventions to improve mental and physical health, reduce stress and loneliness, and provide integrated support from schools and communities to enhance adolescents’ subjective happiness.

Background/Aims: Infliximab treatment failure in patients with inflammatory bowel disease may result from sub-optimal infliximab trough level. An understanding of pharmacokinetics (PKs) is important to maintain an optimal trough level. PK studies of the switch to subcutaneous (SC) infliximab from intravenous (IV) infliximab using real-world data are lacking. We aimed to develop a population PK model of IV and SC infliximab to predict individual infliximab exposure during maintenance therapy. Methods: We used data from prospectively collected data on IV and SC infliximab concentrations in patients with inflammatory bowel disease receiving maintenance treatment from February 2020 to December 2022 at Samsung Medical Center. Population PK analysis was conducted by using a two-compartment model with first-order absorption and first-order elimination. Goodness-of-fit plots and visual predictive check were used to evaluate the PK model. Results: A total of 2,132 samples from 181 patients (149 Crohn’s disease and 32 ulcerative colitis) were analyzed. We developed an infliximab population PK model using body mass index, albumin, C-reactive protein level, and the anti-drug antibody level and validated its predictive performance. Conclusions It may be possible to predict the infliximab trough level of both IV and SC infliximab in patients with inflammatory bowel disease during maintenance treatment by using our model in real-world practice.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

The role of acetylated apurinic/apyrimidinic endonuclease 1/redox factor 1 (APE1/Ref-1) in ovarian cancer remains poorly understood. Therefore, this study aimed to investigate the combined effect of recombinant human APE1/Ref-1 (rhAPE1/Ref-1) and aspirin (ASA) on two ovarian cancer cells, PEO-14, and CAOV3.The viability and apoptosis of ovarian cancer cells treated with rhAPE1/Ref-1 or ASA were assessed. Our results demonstrated that ASA induced rhAPE1/Ref-1 acetylation and widespread hyperacetylation in PEO-14 cells. Additionally, co-treatment with rhAPE1/Ref-1 and ASA substantially reduced cell viability and induced PEO-14 cell apoptosis, not CAOV3, in a dose-dependent manner. ASA increased the expression and membrane localization of the receptor for advanced glycation endproducts (RAGEs). Acetylated APE1/Ref-1 showed enhanced binding to RAGEs. In contrast, RAGE knockdown reduced cell death and poly(ADP-ribose) polymerase cleavage caused by rhAPE1/Ref-1 and ASA combination treatment, highlighting the importance of the APE1/Ref-1-RAGE interaction in triggering apoptosis. Moreover, combination treatment with rhAPE1/Ref-1 and ASA effectively induced apoptosis in 3D spheroid cultures of PEO-14 cells, a model that better mimics the tumor microenvironment. These results demonstrate that acetylated APE1/Ref-1 and its interaction with RAGE is a potential therapeutic target for ovarian cancer. Thus, the combination of ASA and APE1/Ref-1 may offer a promising new strategy for inducing cancer cell death.

The role of acetylated apurinic/apyrimidinic endonuclease 1/redox factor 1 (APE1/Ref-1) in ovarian cancer remains poorly understood. Therefore, this study aimed to investigate the combined effect of recombinant human APE1/Ref-1 (rhAPE1/Ref-1) and aspirin (ASA) on two ovarian cancer cells, PEO-14, and CAOV3.The viability and apoptosis of ovarian cancer cells treated with rhAPE1/Ref-1 or ASA were assessed. Our results demonstrated that ASA induced rhAPE1/Ref-1 acetylation and widespread hyperacetylation in PEO-14 cells. Additionally, co-treatment with rhAPE1/Ref-1 and ASA substantially reduced cell viability and induced PEO-14 cell apoptosis, not CAOV3, in a dose-dependent manner. ASA increased the expression and membrane localization of the receptor for advanced glycation endproducts (RAGEs). Acetylated APE1/Ref-1 showed enhanced binding to RAGEs. In contrast, RAGE knockdown reduced cell death and poly(ADP-ribose) polymerase cleavage caused by rhAPE1/Ref-1 and ASA combination treatment, highlighting the importance of the APE1/Ref-1-RAGE interaction in triggering apoptosis. Moreover, combination treatment with rhAPE1/Ref-1 and ASA effectively induced apoptosis in 3D spheroid cultures of PEO-14 cells, a model that better mimics the tumor microenvironment. These results demonstrate that acetylated APE1/Ref-1 and its interaction with RAGE is a potential therapeutic target for ovarian cancer. Thus, the combination of ASA and APE1/Ref-1 may offer a promising new strategy for inducing cancer cell death.