Background and Objectives: Electronic cigarette (e-cigarette) is a device that generate vapor by heating e-cigarettes liquid. E-cigarette damages the respiratory immune system and renders the respiratory tract vulnerable to inflammations. However, there are no studies on how the inflammatory reactions in respiratory epithelial cells caused by e-cigarette occur, and the effects of Korean red ginseng (KRG) and saponin on inflammation induced by e-cigarette are unknown. This study aimed to compare the inflammatory reactions caused by e-cigarette and lipopolysaccharide (LPS), and to investigate the effects of KRG and saponin on cytokine and mucin expression induced by e-cigarette in respiratory epithelial cells.Subjects and Method In bronchoalveolar lavage fluid and lung tissue of mice, the effects of KRG and saponin on cytokines (interleukin [IL]-1β, IL-6, IL-8) and mucin 5AC/5B (MUC5AC/5B) expression induced by e-cigarette were investigated using real-time polymerase chain reaction, enzyme linked immunosorbent assay, and immunohistochemistry staining. Results: Inflammatory cells, cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B messenger RNA expression and protein production were increased by e-cigarette, similar to LPS. KRG and saponin decreased the expression of cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B induced by e-cigarette. KRG and saponin showed effects similar to that of dexamethasone. Conclusion E-cigarette causes inflammation similar to that caused by LPS. KRG and saponin regulate the expression of cytokine and MUC5AC/5B increased by e-cigarette in respiratory epithelial cells. KRG and saponin may be an effective therapeutic option for inflammatory responses induced by e-cigarette in respiratory epithelial cells.

Background and Objectives: Electronic cigarette (e-cigarette) is a device that generate vapor by heating e-cigarettes liquid. E-cigarette damages the respiratory immune system and renders the respiratory tract vulnerable to inflammations. However, there are no studies on how the inflammatory reactions in respiratory epithelial cells caused by e-cigarette occur, and the effects of Korean red ginseng (KRG) and saponin on inflammation induced by e-cigarette are unknown. This study aimed to compare the inflammatory reactions caused by e-cigarette and lipopolysaccharide (LPS), and to investigate the effects of KRG and saponin on cytokine and mucin expression induced by e-cigarette in respiratory epithelial cells.Subjects and Method In bronchoalveolar lavage fluid and lung tissue of mice, the effects of KRG and saponin on cytokines (interleukin [IL]-1β, IL-6, IL-8) and mucin 5AC/5B (MUC5AC/5B) expression induced by e-cigarette were investigated using real-time polymerase chain reaction, enzyme linked immunosorbent assay, and immunohistochemistry staining. Results: Inflammatory cells, cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B messenger RNA expression and protein production were increased by e-cigarette, similar to LPS. KRG and saponin decreased the expression of cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B induced by e-cigarette. KRG and saponin showed effects similar to that of dexamethasone. Conclusion E-cigarette causes inflammation similar to that caused by LPS. KRG and saponin regulate the expression of cytokine and MUC5AC/5B increased by e-cigarette in respiratory epithelial cells. KRG and saponin may be an effective therapeutic option for inflammatory responses induced by e-cigarette in respiratory epithelial cells.

Background and Objectives: Electronic cigarette (e-cigarette) is a device that generate vapor by heating e-cigarettes liquid. E-cigarette damages the respiratory immune system and renders the respiratory tract vulnerable to inflammations. However, there are no studies on how the inflammatory reactions in respiratory epithelial cells caused by e-cigarette occur, and the effects of Korean red ginseng (KRG) and saponin on inflammation induced by e-cigarette are unknown. This study aimed to compare the inflammatory reactions caused by e-cigarette and lipopolysaccharide (LPS), and to investigate the effects of KRG and saponin on cytokine and mucin expression induced by e-cigarette in respiratory epithelial cells.Subjects and Method In bronchoalveolar lavage fluid and lung tissue of mice, the effects of KRG and saponin on cytokines (interleukin [IL]-1β, IL-6, IL-8) and mucin 5AC/5B (MUC5AC/5B) expression induced by e-cigarette were investigated using real-time polymerase chain reaction, enzyme linked immunosorbent assay, and immunohistochemistry staining. Results: Inflammatory cells, cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B messenger RNA expression and protein production were increased by e-cigarette, similar to LPS. KRG and saponin decreased the expression of cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B induced by e-cigarette. KRG and saponin showed effects similar to that of dexamethasone. Conclusion E-cigarette causes inflammation similar to that caused by LPS. KRG and saponin regulate the expression of cytokine and MUC5AC/5B increased by e-cigarette in respiratory epithelial cells. KRG and saponin may be an effective therapeutic option for inflammatory responses induced by e-cigarette in respiratory epithelial cells.

Heart failure (HF) is a major cause of mortality and morbidity in South Korea, imposing substantial physical, emotional, and financial burdens on patients and society. Despite the high burden of symptom and complex care needs of HF patients, palliative care and hospice services remain underutilized in South Korea due to cultural, institutional, and knowledge-related barriers. This position statement from the Korean Society of Heart Failure emphasizes the need for integrating palliative and hospice care into HF management to improve quality of life and support holistic care for patients and their families. By clarifying the role of palliative care in HF and proposing practical referral criteria, this position statement aims to bridge the gap between HF and palliative care services in South Korea, ultimately improving patient-centered outcomes and aligning treatment with the goals and values of HF patients.

Background and Objectives: Electronic cigarette (e-cigarette) is a device that generate vapor by heating e-cigarettes liquid. E-cigarette damages the respiratory immune system and renders the respiratory tract vulnerable to inflammations. However, there are no studies on how the inflammatory reactions in respiratory epithelial cells caused by e-cigarette occur, and the effects of Korean red ginseng (KRG) and saponin on inflammation induced by e-cigarette are unknown. This study aimed to compare the inflammatory reactions caused by e-cigarette and lipopolysaccharide (LPS), and to investigate the effects of KRG and saponin on cytokine and mucin expression induced by e-cigarette in respiratory epithelial cells.Subjects and Method In bronchoalveolar lavage fluid and lung tissue of mice, the effects of KRG and saponin on cytokines (interleukin [IL]-1β, IL-6, IL-8) and mucin 5AC/5B (MUC5AC/5B) expression induced by e-cigarette were investigated using real-time polymerase chain reaction, enzyme linked immunosorbent assay, and immunohistochemistry staining. Results: Inflammatory cells, cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B messenger RNA expression and protein production were increased by e-cigarette, similar to LPS. KRG and saponin decreased the expression of cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B induced by e-cigarette. KRG and saponin showed effects similar to that of dexamethasone. Conclusion E-cigarette causes inflammation similar to that caused by LPS. KRG and saponin regulate the expression of cytokine and MUC5AC/5B increased by e-cigarette in respiratory epithelial cells. KRG and saponin may be an effective therapeutic option for inflammatory responses induced by e-cigarette in respiratory epithelial cells.

Background and Objectives: Electronic cigarette (e-cigarette) is a device that generate vapor by heating e-cigarettes liquid. E-cigarette damages the respiratory immune system and renders the respiratory tract vulnerable to inflammations. However, there are no studies on how the inflammatory reactions in respiratory epithelial cells caused by e-cigarette occur, and the effects of Korean red ginseng (KRG) and saponin on inflammation induced by e-cigarette are unknown. This study aimed to compare the inflammatory reactions caused by e-cigarette and lipopolysaccharide (LPS), and to investigate the effects of KRG and saponin on cytokine and mucin expression induced by e-cigarette in respiratory epithelial cells.Subjects and Method In bronchoalveolar lavage fluid and lung tissue of mice, the effects of KRG and saponin on cytokines (interleukin [IL]-1β, IL-6, IL-8) and mucin 5AC/5B (MUC5AC/5B) expression induced by e-cigarette were investigated using real-time polymerase chain reaction, enzyme linked immunosorbent assay, and immunohistochemistry staining. Results: Inflammatory cells, cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B messenger RNA expression and protein production were increased by e-cigarette, similar to LPS. KRG and saponin decreased the expression of cytokines (IL-1β, IL-6, IL-8) and MUC5AC/5B induced by e-cigarette. KRG and saponin showed effects similar to that of dexamethasone. Conclusion E-cigarette causes inflammation similar to that caused by LPS. KRG and saponin regulate the expression of cytokine and MUC5AC/5B increased by e-cigarette in respiratory epithelial cells. KRG and saponin may be an effective therapeutic option for inflammatory responses induced by e-cigarette in respiratory epithelial cells.

Background and Objectives: Optimal anticoagulation in very elderly patients is challenging due to the high risk of anticoagulant-induced bleeding. The aim of this study was to assess outcomes of on-label reduced-dose edoxaban (30 mg) in very elderly patients who had additional risk factors for bleeding. Methods: This was a multi-center, prospective, non-interventional observational study to evaluate the efficacy and safety of on-label reduced-dose edoxaban in atrial fibrillation (AF) patients 80 years of age or older and who had more than 1 risk factor for bleeding. Results: A total of 2448 patients (mean age 75.0±8.3 years, 801 [32.7%] males) was included in the present study, and 586 (23.9%) were 80 years of age or older with additional risk factors for bleeding. Major bleeding events occurred frequently among very elderly AF patients who had additional bleeding risk factors compared to other patients (unadjusted hazard ratio [HR], 2.16; 95% confidence interval [CI], 1.16–4.02); however, there were no significant differences in stroke incidence (HR, 1.86; 95% CI, 0.98–3.55). There were no significant differences for either factor after adjusting for age and sex (adjusted HR, 1.65; 95% CI, 0.75–3.62 for major bleeding; adjusted HR, 1.13; 95% CI, 0.51–2.50 for stroke). Conclusions In very elderly AF patients with comorbidities associated with greater risk of bleeding, the incidence of major bleeding events was significantly increased. In addition, risk of stroke showed tendency to increase in same population. Effective anticoagulation therapy might be important in these high-risk population, and close observation of bleeding events might also be required.

Background and Objectives: Chat generated pre-trained transformer (ChatGPT) is a conversational artificial intelligence model, which has recently attracted worldwide attention by enabling natural conversations based on huge information from deep learing in various fields. Several studies have reported usefullness and reliability of medical information obtained by ChatGPT, but there are no studies explaining reliability and accuracy in the field of otorhinolarynoglogy. On this regard, we investigated the accuracy of information on sudden sensorineural hearing loss obtained by ChatGPT.Materials and Method Twenty-five questions and answeres related to sudden sensorineural hearing loss were recorded from ChatGPT based on textbook from Korean Society of Otorhinolaryngology-Head and Neck Surgery and Clinical Guidelines of American Academy of Otolaryngology-Head and Neck Surgery. Answers were shown to one specialist in otorhinolaryngoly in a blind test and asked to assess their accuracy. Each question was rated as ‘accurate’ or ‘inaccurate.’ If the contents were not found in the textbook or the guidelines, it was rated as ‘unreliable.’ Results: Of the 25 questions, 19 (76%) were identified as ‘accurate,’ 6 (24%) were ‘inaccurate,’ and 0 (0%) were ‘unreliable.’ Questions about definition, prevalence, hearing rehabilitation, diagnosis and treatment were found to be more accurate than the average, while causes and prognosis were less accurate than the average. Conclusion The information on sudden sensorineurla hearing loss obatined from ChatGPT was quite accurate. It is expected to provide substantial help to patients and doctors. As medicine and medical artificial intelligence develop together, further research is needed on reliability and accuracy in vaious diseases and fields of otorhinolaryngology-head and neck surgery.

Background and Objectives: Chat Generated Pre-Trained Transformer (ChatGPT) is a large language model, which allows consumers to get information with one simple question for free. There are few studies that reported the reliability and usefullness of ChatGPT in the field of otorhinolarynoglogy, so we would like to investigate the reliability of information about allergic rhinitis generated by ChatGPT.Materials and Method We asked ChatGPT 35 questions related to allergic rhinitis based on the textbook from Korean Society of Otorhinolaryngology-Head and Neck Surgery, the clinical guidelines of American Academy of Otolaryngology-Head and Neck Surgery, and the guidelines of Allergic Rhinitis and Its impact on Asthma, and recorded the generated answers. Five specialists from our department were shown the answers in a blind test to assess their reliability. Each question was rated either ‘accurate’ or ‘inaccurate,’ and if the contents were not found in the textbook or the guideline, it was rated as ‘unreliable.’ Results: Of the 35 questions, 26 (74%) were identified as ‘accurate,’ 9 (26%) were ‘inaccurate,’ and 0 (0%) were ‘unreliable.’ Questions about epidemiology, causes, diagnosis, and prognosis were found to be more accurate than the average, whereas definitions and treatments were less accurate than the average. Conclusion The information about allergic rhinitis generated by ChatGPT was quite reliable, showing that ChatGPT can be helpful in understanding and treating the disease. It is necessary to use the developing medical artificial intelligence wisely.

Viral load and the duration of viral shedding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) are important determinants of the transmission of coronavirus disease 2019.In this study, we examined the effects of viral doses on the lung and spleen of K18-hACE2 transgenic mice by temporal histological and transcriptional analyses. Approximately, 1×105 plaque-forming units (PFU) of SARS-CoV-2 induced strong host responses in the lungs from 2 days post inoculation (dpi) which did not recover until the mice died, whereas responses to the virus were obvious at 5 days, recovering to the basal state by 14 dpi at 1×102 PFU. Further, flow cytometry showed that number of CD8+ T cells continuously increased in 1×102 PFU-virusinfected lungs from 2 dpi, but not in 1×105 PFU-virus-infected lungs. In spleens, responses to the virus were prominent from 2 dpi, and number of B cells was significantly decreased at 1×105PFU; however, 1×102 PFU of virus induced very weak responses from 2 dpi which recovered by 10 dpi. Although the defense responses returned to normal and the mice survived, lung histology showed evidence of fibrosis, suggesting sequelae of SARS-CoV-2 infection. Our findings indicate that specific effectors of the immune response in the lung and spleen were either increased or depleted in response to doses of SARS-CoV-2. This study demonstrated that the response of local and systemic immune effectors to a viral infection varies with viral dose, which either exacerbates the severity of the infection or accelerates its elimination.