Background/Aims: Tegoprazan is a novel potassium-competitive acid blocker that has beneficial effects on acid-related disorders such as gastroesophageal reflux and peptic ulcer diseases.This study aimed to validate the effect of tegoprazan on endoscopic submucosal dissection (ESD)-induced artificial ulcers. Methods: Patients from 16 centers in Korea who underwent ESD for gastric neoplasia were enrolled. After ESD, pantoprazole was administered intravenously for 48 hours. The patients were randomly allocated to either the tegoprazan or esomeprazole group. Tegoprazan 50 mg or esomeprazole 40 mg were administered for 4 weeks, after which gastroscopic evaluation was performed. If the artificial ulcer had not healed, the same dose of tegoprazan or esomeprazole was administered for an additional 4 weeks, and a gastroscopic evaluation was performed. Results: One hundred sixty patients were enrolled in this study. The healing rates of artificial ulcers at 4 weeks were 30.3% (23/76) and 22.1% (15/68) in the tegoprazan and esomeprazole groups, respectively (p=0.006). At 8 weeks after ESD, the cumulative ulcer healing rates were 73.7% (56/76) and 77.9% (53/68) in the tegoprazan and esomeprazole groups, respectively (p=0.210). Delayed bleeding occurred in two patients in the tegoprazan group (2.6%) and in one patient in the esomeprazole group (1.5%). Other adverse events were negligible in both groups. Conclusions Tegoprazan showed similar effects on post-ESD artificial ulcer healing in comparison with esomeprazole.

Purpose: Sepsis is one of the most common causes of death after surgery. Several conventional scoring systems have been developed to predict the outcome of sepsis; however, their predictive power is insufficient. The present study applies explainable machine-learning algorithms to improve the accuracy of predicting postoperative mortality in patients with sepsis caused by peritonitis. Methods: We performed a retrospective analysis of data from demographic, clinical, and laboratory analyses, including the delta neutrophil index (DNI), WBC and neutrophil counts, and CRP level. Laboratory data were measured before surgery, 12–36 hours after surgery, and 60–84 hours after surgery. The primary study output was the probability of mortality.The areas under the receiver operating characteristic curves (AUCs) of several machine-learning algorithms using the Sequential Organ Failure Assessment (SOFA) and Simplified Acute Physiology Score (SAPS) 3 models were compared.‘SHapley Additive exPlanations’ values were used to indicate the direction of the relationship between a variable and mortality. Results: The CatBoost model yielded the highest AUC (0.933) for mortality compared to SAPS3 and SOFA (0.860 and 0.867, respectively). Increased DNI on day 3, septic shock, use of norepinephrine therapy, and increased international normalized ratio on day 3 had the greatest impact on the model’s prediction of mortality. Conclusion Machine-learning algorithms increase the accuracy of predicting postoperative mortality in patients with sepsis caused by peritonitis.

Objective: North Korean defectors (NKDs) have experienced substantial difficulties during the migration and settlement in South Korea. They have a high prevalence of depression, post-traumatic stress disorder, and suicidal behaviors. The high prevalence of mental disorders among NKDs can lead to a high suicide rate. However, there are no suicide prevention programs for NKDs. This study aims to customize a suicide prevention program with content suitable for NKDs’ particular circumstances. Methods: A multidisciplinary research team developed this program based on domestic and international gatekeeper training programs for suicide prevention and articles related to suicide prevention. Results: We developed a multi-part gatekeeper training program, “Suicide CARE for NKDs.” In the “Introduction,” trainees learn about the need for the program and its importance. In “Careful observation,” trainees learn to recognize linguistic, behavioral, and situational signals of suicide risk. In “Active listening,” trainees learn how to ask about suicidal thoughts and to listen empathetically. In “Risk evaluation and expert referral,” trainees learn to evaluate suicide risk and to connect NKDs with institutes or services. Conclusion We expect this program to become useful for training gatekeepers to prevent suicide among NKD. A future follow-up study is needed to confirm the efficacy of the program.

Purpose: To investigate the characteristics and treatment results of patients aged ≥ 85 years who were diagnosed with treatment-naïve neovascular age-related macular degeneration (nAMD). Methods: The medical records of patients diagnosed with treatment-naïve nAMD who were ≥ 85 years old at the time of diagnosis with at least 12 months follow-up were retrospectively reviewed. The number of intravitreal injections of anti-vascular endothelial growth factor (VEGF) and agents used during the entire period were investigated. Best-corrected visual acuity and optical coherence tomography results before and after treatment were analyzed. Visual acuity of the fellow eye was also collected. Results: A total of 40 eyes of 40 patients with mean age of 87.5 ± 2.4 were included in the study. The mean logarithm of the minimal angle of resolution visual acuity was 0.85 ± 0.57, and the mean of the fellow eye was 0.93 ± 0.99. Compared to before the treatment, there was no significant difference after intravitreal injection in terms of visual acuity. Central retinal thickness showed significant reduction at all time points after treatment. Conclusions In patients aged ≥ 85 years at the time of diagnosis, intravitreal injections of anti-VEGF prevented deterioration of visual acuity and showed successful anatomical outcomes. Especially, many had poor visual acuity in the fellow eye, suggesting the importance of maintaining visual acuity. Therefore, active treatment is necessary in the elderly.