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 Parkinson’s disease (PD) significantly impacts the quality of life via both motor and nonmotor symptoms. Exercise is a valuable nonpharmacological intervention that can alleviate PD symptoms and slow disease progression. Understanding the factors that motivate and restrict exercise in PD patients is essential for promoting engagement.This study aimed to identify the motivators and barriers affecting exercise in PD patients. Methods: This cross-sectional study assessed exercise habits, motivators, and barriers among PD patients with a modified Hoehn and Yahr stage of ≤2.5. Participants were categorized into non-, low-, and high-exercise groups based on the World Health Organization guidelines. The International Physical Activity Questionnaire, the Korean version of the Sport Motivation Scale, and a barriers-to-exercise questionnaire were utilized. Results: Data from 165 of 196 enrolled patients were analyzed: 28 (17.0%), 88 (53.3%), and 49 (29.7%) in the non-, low-, and high-exercise groups, respectively. The nonexercise group demonstrated higher levels of fatigue and apathy, and more-severe cardiovascular, mood, intellectual, attention, gastrointestinal, and urinary symptoms. While all groups recognized the benefit of exercise, those in the nonexercise group viewed PD symptoms and depressive mood as major barriers, whereas those in the high-exercise group were primarily motivated by personal satisfaction. Conclusions This study highlights the importance of enjoyment and personal satisfaction to the maintenance of exercise habits among PD patients. By enhancing specific motivators and overcoming barriers, particularly PD symptoms and related nonmotor symptoms, tailored interventions can be implemented to increase exercise adherence and, eventually, improve the quality of life of PD patients.

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/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 Parkinson’s disease (PD) significantly impacts the quality of life via both motor and nonmotor symptoms. Exercise is a valuable nonpharmacological intervention that can alleviate PD symptoms and slow disease progression. Understanding the factors that motivate and restrict exercise in PD patients is essential for promoting engagement.This study aimed to identify the motivators and barriers affecting exercise in PD patients. Methods: This cross-sectional study assessed exercise habits, motivators, and barriers among PD patients with a modified Hoehn and Yahr stage of ≤2.5. Participants were categorized into non-, low-, and high-exercise groups based on the World Health Organization guidelines. The International Physical Activity Questionnaire, the Korean version of the Sport Motivation Scale, and a barriers-to-exercise questionnaire were utilized. Results: Data from 165 of 196 enrolled patients were analyzed: 28 (17.0%), 88 (53.3%), and 49 (29.7%) in the non-, low-, and high-exercise groups, respectively. The nonexercise group demonstrated higher levels of fatigue and apathy, and more-severe cardiovascular, mood, intellectual, attention, gastrointestinal, and urinary symptoms. While all groups recognized the benefit of exercise, those in the nonexercise group viewed PD symptoms and depressive mood as major barriers, whereas those in the high-exercise group were primarily motivated by personal satisfaction. Conclusions This study highlights the importance of enjoyment and personal satisfaction to the maintenance of exercise habits among PD patients. By enhancing specific motivators and overcoming barriers, particularly PD symptoms and related nonmotor symptoms, tailored interventions can be implemented to increase exercise adherence and, eventually, improve the quality of life of PD patients.

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 Parkinson’s disease (PD) significantly impacts the quality of life via both motor and nonmotor symptoms. Exercise is a valuable nonpharmacological intervention that can alleviate PD symptoms and slow disease progression. Understanding the factors that motivate and restrict exercise in PD patients is essential for promoting engagement.This study aimed to identify the motivators and barriers affecting exercise in PD patients. Methods: This cross-sectional study assessed exercise habits, motivators, and barriers among PD patients with a modified Hoehn and Yahr stage of ≤2.5. Participants were categorized into non-, low-, and high-exercise groups based on the World Health Organization guidelines. The International Physical Activity Questionnaire, the Korean version of the Sport Motivation Scale, and a barriers-to-exercise questionnaire were utilized. Results: Data from 165 of 196 enrolled patients were analyzed: 28 (17.0%), 88 (53.3%), and 49 (29.7%) in the non-, low-, and high-exercise groups, respectively. The nonexercise group demonstrated higher levels of fatigue and apathy, and more-severe cardiovascular, mood, intellectual, attention, gastrointestinal, and urinary symptoms. While all groups recognized the benefit of exercise, those in the nonexercise group viewed PD symptoms and depressive mood as major barriers, whereas those in the high-exercise group were primarily motivated by personal satisfaction. Conclusions This study highlights the importance of enjoyment and personal satisfaction to the maintenance of exercise habits among PD patients. By enhancing specific motivators and overcoming barriers, particularly PD symptoms and related nonmotor symptoms, tailored interventions can be implemented to increase exercise adherence and, eventually, improve the quality of life of PD patients.

Purpose: This study aimed to evaluate the quality of artificial intelligence (AI)/machine learning (ML) studies on hemorrhagic stroke using the Minimum Information for Medical AI Reporting (MINIMAR) and Minimum Information About Clinical Artificial Intelligence Modeling (MI-CLAIM) frameworks to promote clinical application. Materials and Methods: PubMed, MEDLINE, and Embase were searched for AI/ML studies on hemorrhagic stroke. Out of the 531 articles found, 29 relevant original research articles were included. MINIMAR and MI-CLAIM scores were assigned by two experienced radiologists to assess the quality of the studies. Results: We analyzed 29 investigations that utilized AI/ML in the field of hemorrhagic stroke, involving a median of 224.5 patients. The majority of studies focused on diagnostic outcomes using computed tomography scans (89.7%) and were published in computer science journals (48.3%). The overall adherence rates to reporting guidelines, as assessed through the MINIMAR and MI-CLAIM frameworks, were 47.6% and 46.0%, respectively. In MINIMAR, none of the studies reported the socioeconomic status of the patients or how missing values had been addressed. In MI-CLAIM, only two studies applied model-examination techniques to improve model interpretability. Transparency and reproducibility were limited, as only 10.3% of the studies had publicly shared their code. Cohen’s kappa between the two radiologists was 0.811 and 0.779 for MINIMAR and MI-CLAIM, respectively. Conclusion The overall reporting quality of published AI/ML studies on hemorrhagic stroke is suboptimal. It is necessary to incorporate model examination techniques for interpretability and promote code openness to enhance transparency and increase the clinical applicability of AI/ML studies.

We analyzed the manner and cause of death in 1,193 forensic autopsies from the Jungbu province (central part of South Korea) conducted by the National Forensic Service Daejeon Institute in 2022. Analysis of the manner of deaths revealed that 43.1% (514/1,193 cases) were natural deaths; 42.8% (511/1,193 cases) were unnatural deaths; and 14.1% (168/1,193 cases) were unknown. Among the unnatural deaths, the major manner of death was 44.6% (228/511 cases) by accidents, 34.1% (174/511 cases) by suicide, 13.5% (69/511 cases) undetermined, and 7.8% (40/511 cases) by homicide. Among the unnatural deaths, the major causes of death was 38.4% (196/511 cases) by trauma, 20.4% (104/511 cases) by poisoning, and 17.6% (90/511 cases) by asphyxia. Falling was the major cause of death by trauma (58.7%, 115/196 cases), and strangulation was the major cause of death by asphyxia (75.6%, 68/90 cases). Among the natural deaths, heart disease was the major cause (46.7%, 240/514 cases), followed by endocrine, nutritional and metabolic diseases (14.0%, 72/514 cases). A time-series statistical analysis and comparison of the manner and cause of deaths in this province may facilitate more advanced interpretations relating to both public safety and healthcare in the future.

We analyzed the manner and cause of death in 1,193 forensic autopsies from the Jungbu province (central part of South Korea) conducted by the National Forensic Service Daejeon Institute in 2022. Analysis of the manner of deaths revealed that 43.1% (514/1,193 cases) were natural deaths; 42.8% (511/1,193 cases) were unnatural deaths; and 14.1% (168/1,193 cases) were unknown. Among the unnatural deaths, the major manner of death was 44.6% (228/511 cases) by accidents, 34.1% (174/511 cases) by suicide, 13.5% (69/511 cases) undetermined, and 7.8% (40/511 cases) by homicide. Among the unnatural deaths, the major causes of death was 38.4% (196/511 cases) by trauma, 20.4% (104/511 cases) by poisoning, and 17.6% (90/511 cases) by asphyxia. Falling was the major cause of death by trauma (58.7%, 115/196 cases), and strangulation was the major cause of death by asphyxia (75.6%, 68/90 cases). Among the natural deaths, heart disease was the major cause (46.7%, 240/514 cases), followed by endocrine, nutritional and metabolic diseases (14.0%, 72/514 cases). A time-series statistical analysis and comparison of the manner and cause of deaths in this province may facilitate more advanced interpretations relating to both public safety and healthcare in the future.