Purpose: This study evaluated the postoperative quality of life (QoL) after various types of gastrectomy for gastric cancer. Materials and Methods: A multicenter prospective observational study was conducted in Korea using the Korean Quality of Life in Stomach Cancer Patients Study (KOQUSS)-40, a new QoL assessment tool focusing on postgastrectomy syndrome. Overall, 496 patients with gastric cancer were enrolled, and QoL was assessed at 5 time points: preoperatively and at 1, 3, 6, and 12 months after surgery. Results: Distal gastrectomy (DG) and pylorus-preserving gastrectomy (PPG) showed significantly better outcomes than total gastrectomy (TG) and proximal gastrectomy (PG) with regard to total score, indigestion, and dysphagia. DG, PPG, and TG also showed significantly better outcomes than PG in terms of dumping syndrome and worry about cancer. Postoperative QoL did not differ significantly according to anastomosis type in DG, except for Billroth I anastomosis, which achieved better bowel habit change scores than the others. No domains differed significantly when comparing double tract reconstruction and esophagogastrostomy after PG. The total QoL score correlated significantly with postoperative body weight loss (more than 10%) and extent of resection (P<0.05 for both).Reflux as assessed by KOQUSS-40 did not correlate significantly with reflux observed on gastroscopy 1 year postoperatively (P=0.064). Conclusions Our prospective observation using KOQUSS-40 revealed that DG and PPG lead to better QoL than TG and PG. Further study is needed to compare postoperative QoL according to anastomosis type in DG and PG.

Purpose: This study evaluated the postoperative quality of life (QoL) after various types of gastrectomy for gastric cancer. Materials and Methods: A multicenter prospective observational study was conducted in Korea using the Korean Quality of Life in Stomach Cancer Patients Study (KOQUSS)-40, a new QoL assessment tool focusing on postgastrectomy syndrome. Overall, 496 patients with gastric cancer were enrolled, and QoL was assessed at 5 time points: preoperatively and at 1, 3, 6, and 12 months after surgery. Results: Distal gastrectomy (DG) and pylorus-preserving gastrectomy (PPG) showed significantly better outcomes than total gastrectomy (TG) and proximal gastrectomy (PG) with regard to total score, indigestion, and dysphagia. DG, PPG, and TG also showed significantly better outcomes than PG in terms of dumping syndrome and worry about cancer. Postoperative QoL did not differ significantly according to anastomosis type in DG, except for Billroth I anastomosis, which achieved better bowel habit change scores than the others. No domains differed significantly when comparing double tract reconstruction and esophagogastrostomy after PG. The total QoL score correlated significantly with postoperative body weight loss (more than 10%) and extent of resection (P<0.05 for both).Reflux as assessed by KOQUSS-40 did not correlate significantly with reflux observed on gastroscopy 1 year postoperatively (P=0.064). Conclusions Our prospective observation using KOQUSS-40 revealed that DG and PPG lead to better QoL than TG and PG. Further study is needed to compare postoperative QoL according to anastomosis type in DG and PG.

Purpose: This study evaluated the postoperative quality of life (QoL) after various types of gastrectomy for gastric cancer. Materials and Methods: A multicenter prospective observational study was conducted in Korea using the Korean Quality of Life in Stomach Cancer Patients Study (KOQUSS)-40, a new QoL assessment tool focusing on postgastrectomy syndrome. Overall, 496 patients with gastric cancer were enrolled, and QoL was assessed at 5 time points: preoperatively and at 1, 3, 6, and 12 months after surgery. Results: Distal gastrectomy (DG) and pylorus-preserving gastrectomy (PPG) showed significantly better outcomes than total gastrectomy (TG) and proximal gastrectomy (PG) with regard to total score, indigestion, and dysphagia. DG, PPG, and TG also showed significantly better outcomes than PG in terms of dumping syndrome and worry about cancer. Postoperative QoL did not differ significantly according to anastomosis type in DG, except for Billroth I anastomosis, which achieved better bowel habit change scores than the others. No domains differed significantly when comparing double tract reconstruction and esophagogastrostomy after PG. The total QoL score correlated significantly with postoperative body weight loss (more than 10%) and extent of resection (P<0.05 for both).Reflux as assessed by KOQUSS-40 did not correlate significantly with reflux observed on gastroscopy 1 year postoperatively (P=0.064). Conclusions Our prospective observation using KOQUSS-40 revealed that DG and PPG lead to better QoL than TG and PG. Further study is needed to compare postoperative QoL according to anastomosis type in DG and PG.

Background: This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness. Methods: A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions. Results: The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001). Conclusion Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.

Background: This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness. Methods: A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions. Results: The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001). Conclusion Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.

Background: This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness. Methods: A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions. Results: The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001). Conclusion Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.

Background: This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness. Methods: A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions. Results: The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001). Conclusion Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.

Background: This study aimed to determine the effectiveness of hospital-based case management for patients with severe mental illness. Methods: A total of 106 patients were included. To evaluate the effectiveness of hospital-based case management, the number of hospitalizations, cumulative length of hospitalization, and hospital days/year as well as functioning were compared before and after the hospital-based case management intervention. Cox regression was performed to identify variables that may influence readmission rates other than patients’ hospital-based case management interventions. Results: The number of hospitalizations decreased from 1.4±0.9 to 0.5±1.0 (p<0.001), cumulative length of hospitalization from 73.0±62.3 to 28.1±57.2 days (p<0.001), and hospital days/year from 20.0±17.1 to 7.7±15.7 days (p<0.001). The changes in Global Assessment of Functioning (GAF) Scale were 35.3±15.7 points at case management intervention, 43.7±13.9 points after 1 month of case management (p<0.001), 51.2±14.1 points after 3 months (p<0.001), and 53.1±17.6 points after 6 months (p<0.001). Demographic and clinical characteristics that influenced readmissions were GAF at admission (p=0.017), duration (p=0.042), diagnosis (p=0.019), and type of admission (p=0.001). Conclusion Hospital-based case management significantly improved readmission rates and functioning in patients with severe mental illness, supporting its continued implementation and expansion.

This case report describes a successful use of normothermic targeted temperature management (TTM) for the treatment of a 14-year-old girl with exertional heat stroke. Upon hospitalization, she exhibited a 40.5 ℃ core temperature and multiorgan failure. We immediately applied the TTM, targeting a range of 36-37 ℃. Her condition improved rapidly, with vital signs stabilized and consciousness fully regained by day 3. She experienced a bimodal pattern of rhabdomyolysis during recovery, which was managed without further complications. No neurological sequelae were observed, and all laboratory parameters were normalized before discharge on day 10. This case suggests the potential efficacy of normothermic TTM in pediatric heat stroke.

Background/Aims: The Gout Impact Scale (GIS), a part of the Gout Assessment Questionnaire 2.0, is used to measure gout-specific health-related quality of life (HRQOL). Although several studies have been conducted on the factors affecting the HRQOL of patients with gout, few have focused on lifestyle factors. This study aimed to investigate the correlation between lifestyle habits and HRQOL using the GIS in patients with gout. Methods: We used data from the Urate-Lowering TheRApy in Gout (ULTRA) registry, a prospective cohort of Korean patients with gout treated at multiple centers nationwide. The patients were aged ≥18 years and met the 2015 American College of Rheumatology/European League Against Rheumatism gout classification criteria. They were asked to complete a GIS and questions regarding their lifestyle habits at enrollment. Results: The study included 232 patients. ‘Gout concern overall’ scores in the GIS were significantly lower in patients who exercised more frequently and consumed soft drinks and meat less, and ‘well-being during attack’ scores were significantly lower in patients who consumed vegetables and exercised more frequently. The frequency of vegetable consumption had a negative linear relationship with the ‘well-being during attack’ and ‘gout concern during attack’ scores (p = 0.01, p = 0.001, respectively). The frequency of exercise had a negative linear relationship with the ‘gout concern overall’ and ‘gout concern during attack’ scores (p = 0.04 and p = 0.002, respectively). Conclusions Patients with gout who frequently consumed vegetables and exercised regularly experienced less impact of gout, exhibiting a better GIS that represented HRQOL.