Purpose: Postoperative complications following gastric cancer surgery significantly impact patient outcomes, yet standardized definitions for these events have not been consistently applied across institutions in Korea. This study aimed to develop a consensus-based, standardized complication classification system specific to gastrectomy for gastric cancer as part of the Korean Quality Improvement Platform in Surgery (K-QIPS) initiative. Methods: As part of K-QIPS, a dedicated task force team (TFT) was formed with surgical experts from fourteen high-volume hospitals across Korea. The TFT conducted ten formal meetings to review existing literature and international guidelines, and incorporated findings from randomized controlled trials. The final complication list was developed through expert consensus and structured into a standardized framework. A Data Entry Manual was created to support consistent data collection by surgical clinical reviewers. Results: The TFT defined specific postoperative complications following gastrectomy for gastric cancer, including anastomotic leakage, duodenal stump leakage, pancreatic fistula, intra-abdominal and luminal bleeding, delayed gastric emptying, and internal hernia. Notably, internal hernia was described in standardized form for the first time. General complications were developed first and overlapped in part with the gastric cancer-specific list. The task force also produced a Data Entry Manual that provides practical instructions to ensure consistency and accuracy in complication reporting. Conclusion This nationwide consensus initiative established the first standardized complication classification system for gastric cancer surgery in Korea. The proposed definitions and data entry system are expected to improve complication reporting, enable multicenter research, support surgical quality benchmarking, and ultimately enhance patient outcomes.

Background and Objectives: The medications preferred by patients for allergic rhinitis and their usage remain unclear. This study investigated treatment-seeking behaviors in patients with allergic rhinitis, including medical treatments, environmental controls, and surgical treatments. Methods: In this study, a cross-sectional survey was conducted by internal medicine, pediatric, or otorhinolaryngology physicians at university hospitals from January 2022 to April 2022. A questionnaire was administered to patients with confirmed allergic rhinitis to collect information regarding medical treatments (prescription and over-the-counter medication use patterns, comorbid asthma, and allergen-specific immunotherapy), environmental controls (usage of air purifiers and pet avoidance), and experiences with surgical treatments. Results: We included 51 patients with allergic rhinitis with a mean age of 31.6±16.0 years. Among them, 47 (92.2%) and 6 (11.8%) patients had pollen allergies and asthma, respectively. Furthermore, 41 (80.4%) patients took prescribed medicines, while 39 (76.5%) patients only used the medication when experiencing symptoms. Thirty patients (58.8%) reported concurrent use of intranasal sprays and oral medications. Thirty-three patients (64.7%) reported awareness of immunotherapy, and there were no preferential differences between subcutaneous (52%) and sublingual immunotherapy (48%). Of the 36 patients (70.6%) who reported using an air purifier, 38.9% considered it helpful in preventing allergic rhinitis symptoms. Fourteen patients (27.5%) currently or previously had a companion animal, with half experiencing worsening of symptoms. Twelve patients had received surgical treatment and reported high satisfaction levels (41.6%, very satisfied; 41.6%, satisfied). Conclusion Patients with allergic rhinitis showed similar preferences for oral and spray medications. They also showed satisfaction with surgical treatments and an interest in the environmental management of allergic rhinitis.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Dental clinicians and researchers have recently recommended oral microbial examinations to more accurately diagnose and treat oral diseases, including periodontitis and dental caries. Theoretical and experimental evidence suggests that oral microbiota may also be associated with non-oral diseases, such as gastrointestinal and extra-gastrointestinal diseases. This review highlights studies demonstrating microbial alterations in the oral cavity associated with malignant tumors including gastric, colorectal, esophageal, and lung cancers, implying that these alterations may serve as early indicators for non-invasive diagnosis and risk assessment of cancer development. Furthermore, we addressed the implications of oral microbial co-occurrence with malignant tumors, such as Streptococcus anginosus, Fusobacterium nucleatum, and Veillonella parvula, which are recognized as tumor-enriched oral pathogens involved in the development and progression of cancers in the stomach, colon, and lungs, respectively. Notably, we explored the immune and inflammatory mechanisms underlying reciprocal interactions between oral microbiota and tumors, underscoring that targeting these mechanistic pathways can contribute to preventing cancer development.

Background and Objectives: The medications preferred by patients for allergic rhinitis and their usage remain unclear. This study investigated treatment-seeking behaviors in patients with allergic rhinitis, including medical treatments, environmental controls, and surgical treatments. Methods: In this study, a cross-sectional survey was conducted by internal medicine, pediatric, or otorhinolaryngology physicians at university hospitals from January 2022 to April 2022. A questionnaire was administered to patients with confirmed allergic rhinitis to collect information regarding medical treatments (prescription and over-the-counter medication use patterns, comorbid asthma, and allergen-specific immunotherapy), environmental controls (usage of air purifiers and pet avoidance), and experiences with surgical treatments. Results: We included 51 patients with allergic rhinitis with a mean age of 31.6±16.0 years. Among them, 47 (92.2%) and 6 (11.8%) patients had pollen allergies and asthma, respectively. Furthermore, 41 (80.4%) patients took prescribed medicines, while 39 (76.5%) patients only used the medication when experiencing symptoms. Thirty patients (58.8%) reported concurrent use of intranasal sprays and oral medications. Thirty-three patients (64.7%) reported awareness of immunotherapy, and there were no preferential differences between subcutaneous (52%) and sublingual immunotherapy (48%). Of the 36 patients (70.6%) who reported using an air purifier, 38.9% considered it helpful in preventing allergic rhinitis symptoms. Fourteen patients (27.5%) currently or previously had a companion animal, with half experiencing worsening of symptoms. Twelve patients had received surgical treatment and reported high satisfaction levels (41.6%, very satisfied; 41.6%, satisfied). Conclusion Patients with allergic rhinitis showed similar preferences for oral and spray medications. They also showed satisfaction with surgical treatments and an interest in the environmental management of allergic rhinitis.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Background and Objectives: The medications preferred by patients for allergic rhinitis and their usage remain unclear. This study investigated treatment-seeking behaviors in patients with allergic rhinitis, including medical treatments, environmental controls, and surgical treatments. Methods: In this study, a cross-sectional survey was conducted by internal medicine, pediatric, or otorhinolaryngology physicians at university hospitals from January 2022 to April 2022. A questionnaire was administered to patients with confirmed allergic rhinitis to collect information regarding medical treatments (prescription and over-the-counter medication use patterns, comorbid asthma, and allergen-specific immunotherapy), environmental controls (usage of air purifiers and pet avoidance), and experiences with surgical treatments. Results: We included 51 patients with allergic rhinitis with a mean age of 31.6±16.0 years. Among them, 47 (92.2%) and 6 (11.8%) patients had pollen allergies and asthma, respectively. Furthermore, 41 (80.4%) patients took prescribed medicines, while 39 (76.5%) patients only used the medication when experiencing symptoms. Thirty patients (58.8%) reported concurrent use of intranasal sprays and oral medications. Thirty-three patients (64.7%) reported awareness of immunotherapy, and there were no preferential differences between subcutaneous (52%) and sublingual immunotherapy (48%). Of the 36 patients (70.6%) who reported using an air purifier, 38.9% considered it helpful in preventing allergic rhinitis symptoms. Fourteen patients (27.5%) currently or previously had a companion animal, with half experiencing worsening of symptoms. Twelve patients had received surgical treatment and reported high satisfaction levels (41.6%, very satisfied; 41.6%, satisfied). Conclusion Patients with allergic rhinitis showed similar preferences for oral and spray medications. They also showed satisfaction with surgical treatments and an interest in the environmental management of allergic rhinitis.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Dental clinicians and researchers have recently recommended oral microbial examinations to more accurately diagnose and treat oral diseases, including periodontitis and dental caries. Theoretical and experimental evidence suggests that oral microbiota may also be associated with non-oral diseases, such as gastrointestinal and extra-gastrointestinal diseases. This review highlights studies demonstrating microbial alterations in the oral cavity associated with malignant tumors including gastric, colorectal, esophageal, and lung cancers, implying that these alterations may serve as early indicators for non-invasive diagnosis and risk assessment of cancer development. Furthermore, we addressed the implications of oral microbial co-occurrence with malignant tumors, such as Streptococcus anginosus, Fusobacterium nucleatum, and Veillonella parvula, which are recognized as tumor-enriched oral pathogens involved in the development and progression of cancers in the stomach, colon, and lungs, respectively. Notably, we explored the immune and inflammatory mechanisms underlying reciprocal interactions between oral microbiota and tumors, underscoring that targeting these mechanistic pathways can contribute to preventing cancer development.

Dental clinicians and researchers have recently recommended oral microbial examinations to more accurately diagnose and treat oral diseases, including periodontitis and dental caries. Theoretical and experimental evidence suggests that oral microbiota may also be associated with non-oral diseases, such as gastrointestinal and extra-gastrointestinal diseases. This review highlights studies demonstrating microbial alterations in the oral cavity associated with malignant tumors including gastric, colorectal, esophageal, and lung cancers, implying that these alterations may serve as early indicators for non-invasive diagnosis and risk assessment of cancer development. Furthermore, we addressed the implications of oral microbial co-occurrence with malignant tumors, such as Streptococcus anginosus, Fusobacterium nucleatum, and Veillonella parvula, which are recognized as tumor-enriched oral pathogens involved in the development and progression of cancers in the stomach, colon, and lungs, respectively. Notably, we explored the immune and inflammatory mechanisms underlying reciprocal interactions between oral microbiota and tumors, underscoring that targeting these mechanistic pathways can contribute to preventing cancer development.