Background: Residential smoking cessation therapy programs offer intensive treatment for heavy smokers who struggle to quit independently, particularly those with high nicotine dependence and health conditions that necessitate urgent cessation. While previous studies have established the effectiveness of such programs and identified various factors influencing smoking cessation success, it remains unclear how changes in smokers’ thoughts and attitudes following residential therapy correlate with their ability to quit smoking. We investigated the relationship between smoking cessation-related characteristics, smoking-related psychological status, and participants’ smoking cessation success after a residential smoking cessation therapy program. Methods: From January 2017 to December 2018, 291 participants completed the program. All participants completed questionnaires on smoking cessation-related characteristics and smoking-related psychological status before the program and on the 5th day. Six months later, smoking cessation success was assessed using a urine cotinine test. Results: After 6 months, 222 participants successfully quit smoking, while 69 failed. The success and failure groups exhibited statistically significant differences in age, marital status, total smoking duration, stress, and emotion regulation strategies. Participants who used ineffective emotion regulation strategies more frequently had a lower rate of smoking cessation success (odds ratio [OR], 0.969; 95% confidence interval [CI], 0.948–0.991). Moreover, an increase in the perception of the negative effects of smoking cessation (OR, 0.982; 95% CI, 0.967–0.997) and smoking temptation (OR, 0.960; 95% CI, 0.929–0.993) was associated with higher cessation success. Conclusion Emotion regulation strategies, perceptions of the effects of smoking cessation, and smoking temptation were associated with successful smoking cessation.

Background: Skipping breakfast is associated with an increased risk of chronic inflammatory diseases. This study aimed to examine the association between breakfast-eating habits and inflammation, using high-sensitivity C-reactive protein (hs-CRP) as a marker. Methods: A total of 4,000 Korean adult males with no history of myocardial infarction, angina, stroke, diabetes, rheumatoid arthritis, cancer, or current smoking were included. Data from the 2016–2018 Korea National Health and Nutrition Examination Survey were used for analysis. The frequency of breakfast consumption was assessed through a questionnaire item in the dietary survey section asking participants about their weekly breakfast consumption routines over the past year. Participants were categorized into two groups, namely “0–2 breakfasts per week” and “3–7 breakfasts per week”; hs-CRP concentrations were measured through blood tests. Results: Comparing between the “infrequent breakfast consumption (0–2 breakfasts per week)” and “frequent breakfast consumption (3–7 breakfasts per week)” groups, the mean hs-CRP was found to be significantly higher in the “infrequent breakfast consumption” group, even after adjusting for age, body mass index, physical activity, alcohol consumption, systolic blood pressure, blood pressure medication, fasting blood glucose, and triglycerides (mean hs-CRP: frequent breakfast consumption, 1.36±0.09 mg/L; infrequent breakfast consumption, 1.17±0.05 mg/L; P-value=0.036). Conclusion Less frequent breakfast consumption was associated with elevated hs-CRP levels. Further large-scale studies incorporating adjusted measures of daily eating patterns as well as food quality and quantity are required for a deeper understanding of the role of breakfast in the primary prevention of chronic inflammatory diseases.

Background: Prevention and management of metabolic syndrome (MetS) during childhood are crucial. Recently, obesity among children and adolescents has increased with an increase in mothers’ working hours. The present study was conducted to determine the relationship between mothers’ working hours and MetS in their children. Methods: Data from the 2016–2020 National Health and Nutrition Examination Survey were used, and 2,598 children and adolescents aged 10–18 years were included. Logistic regression analysis was conducted to confirm the association between MetS and mothers’ working hours for each risk factor. Linear regression analysis was conducted to confirm the association between mothers’ working hours and the number of risk factors for MetS. Results: Abdominal obesity in children was higher when the mothers’ working hours were 53 hours or more (odds ratio [OR], 2.267; 95% confidence interval [CI], 1.21–4.25). In the trend analysis, the OR of children’s abdominal obesity increased significantly as mothers’ working hours increased (P-value <0.05). Additionally, sex-stratified analysis revealed a significant trend between maternal work hours and the presence of MetS in female children (P=0.016). The adjusted OR of the presence of MetS in female children with mothers working 53 hours or more weekly was 6.065 (95% CI, 1.954–18.822). Conclusion Mothers’ working hours were highly correlated with the risk of abdominal obesity in their children. The OR of the presence of MetS significantly increased in female children with mothers having longer working hours compared with those with stay-at-home mothers.

Ketone bodies produced by sodium-glucose cotransporter 2 (SGLT2) inhibitors can be advantageous, providing an efficient and stable energy source for the brain and muscles. However, in patients with diabetes, ketogenesis induced by SGLT2 inhibitors may be harmful, potentially resulting in severe diabetic ketoacidosis (DKA). During fasting, ketone body production serves as an alternative and efficient energy source for the brain by utilizing stored fat, promoting mental clarity, and reducing dependence on glucose. The concurrent use of SGLT2 inhibitors during perioperative fasting may further elevate the risk of euglycemic DKA. We describe a case of DKA that occurred during perioperative fasting in a patient receiving empagliflozin, an SGLT2 inhibitor. This case underscores the importance of recognizing the potential risk of DKA in patients with diabetes using SGLT2 inhibitors during perioperative fasting.

Purpose: Most of studies about racial or ethnic biases among medical students have been conducted in English-speaking developed countries. This study explores the hybridity and transformation of Korean medical students’ biases, arguing that a nation’s identity and culture are constantly in a state of ever-changing hybridity. Methods: This research used a qualitative document analysis. The study participants were 600 pre-clinical medical students at two medical colleges in Korea, who enrolled in anti-bias programs and subsequently submitted self-reflection essays. Data collection focused on biases related to race, ethnicity, nationality, and medical practices as doctors. Bhabha’s cultural hybridity concepts guided the coding of the data in order to explore the hybridity and transformation of the students’ biases. Results: The students presented cultural biases toward patients and doctors with ambivalence related to a person’s high socioeconomic status and open-mindedness, as well as doctors’ excellence and superiority as Korean authoritative figures. Since the students had ambivalent and complex biases toward patients and doctors, they felt unhomeliness as Korean doctors encountering international patients in Korean clinics. However, after discovering their contradictory assumptions, they transformed their unhomeliness into new hybrid identities. The students’ biases were rarely based on race but instead were based on nationality, specifically national class by national income. Conclusion Understanding the changing hybrid nature of identities and culture from a cultural hybridity perspective could help clarify medical students’ complex and changing biases and improve anti-bias education. Korean medical students’ hybridized positions suggest that anti-bias education goes beyond focusing on prestige or racism.

Purpose: This report describes the development of a simulation scenario for medical student that incorporates cultural diversity within the context of family presence during resuscitation (FPDR). Methods: Using a hybrid simulation approach, we designed a scenario focusing on communication with a family that immigrated from Korea to the United States during cardiopulmonary resuscitation (CPR). The scenario objectives were for learners to perform CPR with family presence, communicate with the family, and understand and negotiate cultural needs. Following a pilot scenario with two inexperienced volunteer medical students as learners, the program was evaluated through anonymous surveys and informal focus group feedback. Results: Students noted that this simulation differed from previous experiences as compared with emphasizing family communication rather than patient diagnosis or treatment. Students valued experiencing the practical application of cultural competence concepts. The suggestions for scenario improvement included balancing two student participation roles, adjusting the timeline, and utilizing a standardized family member. Conclusion This pilot study suggests that an FPDR simulation program can be effectively repeated with multiple medical students and applied to CPR simulations involving diverse cultural backgrounds.

Background: Colorectal carcinomas (CRCs) with caudal-type homeobox 2 (CDX2) loss are recognized to pursue an aggressive behavior but tend to be accompanied by a high density of tumor-infiltrating lymphocytes (TILs). However, little is known about whether there is an interplay between CDX2 loss and TIL density in the survival of patients with CRC. Methods: Stage III CRC tissues were assessed for CDX2 loss using immunohistochemistry and analyzed for their densities of CD8 TILs in both intraepithelial (iTILs) and stromal areas using a machine learning-based analytic method. Results: CDX2 loss was significantly associated with a higher density of CD8 TILs in both intraepithelial and stromal areas. Both CDX2 loss and a high CD8 iTIL density were found to be prognostic parameters and showed hazard ratios of 2.314 (1.050–5.100) and 0.378 (0.175–0.817), respectively, for cancer-specific survival. A subset of CRCs with retained CDX2 expression and a high density of CD8 iTILs showed the best clinical outcome (hazard ratio of 0.138 [0.023–0.826]), whereas a subset with CDX2 loss and a high density of CD8 iTILs exhibited the worst clinical outcome (15.781 [3.939–63.230]). Conclusions Altogether, a high density of CD8 iTILs did not make a difference in the survival of patients with CRC with CDX2 loss. The combination of CDX2 expression and intraepithelial CD8 TIL density was an independent prognostic marker in adjuvant chemotherapy-treated patients with stage III CRC.

The introduction of anti-amyloid therapies for Alzheimer’s disease (AD), such as lecanemab (Lequembi®), which was recently approved in Korea, necessitates careful monitoring for amyloid-related imaging abnormalities (ARIA) using brain MRI. To optimize ARIA monitoring in Korean clinical settings, the Korean Society of Neuroradiology (KSNR) and the Age and Neurodegeneration Imaging (ANDI) Study Group proposed MRI protocol recommendations on essential MR sequences, MRI acquisition parameters, timing and condition of MRI examinations, and essential details to provide a scientific basis for maximizing the safety and efficacy of AD treatment. A customized, standardized MRI protocol focusing on Korea’s healthcare environment can improve ARIA management and ensure patient safety through early detection of potential anti-amyloid therapy side effects, thereby enhancing treatment quality.

Breast cancer is the most common cancer in women worldwide, and its early detection is critical for improving survival outcomes. As a diagnostic and screening tool, mammography can be less effective owing to the masking effect of fibroglandular tissue, but breast US has good sensitivity even in dense breasts. However, breast US is highly operator dependent, highlighting the need for artificial intelligence (AI)-driven solutions. Unlike other modalities, US is performed using a handheld device that produces a continuous real-time video stream, yielding 12000–48000 frames per examination. This can be significantly challenging for AI development and requires real-time AI inference capabilities. In this review, we classified AI solutions as computer-aided diagnosis and computer-aided detection to facilitate a functional understanding and review commercial software supported by clinical evidence.In addition, to bridge healthcare gaps and enhance patient outcomes in geographically under resourced areas, we propose a novel framework by reviewing the existing AI-based triage workflows including mobile ultrasound.