https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/413 2026-07-03T22:23:55Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212888 Title: Early prediction of renal replacement therapy within 24 hours after septic shock recognition in the emergency department using machine learning: a retrospective analysis of a prospectively collected multicenter registry Authors: Nah, Sangun; Lim, Tae Ho; Chung, Sung Phil; Suh, Gil Joon; Choi, Sung-Hyuk; Kwon, Woon Yong; Kim, Won Young; Kim, Kyuseok; Choi, Sangchun; You, Je Sung; Choi, Han Sung; Shin, Tae Gun; Han, Sangsoo Abstract: Background: Early identification of patients with septic shock who may soon require renal replacement therapy (RRT) is clinically important but challenging in the emergency department (ED), where definitive indications for RRT often have not yet developed at the time of presentation. Recognizing these patients in advance is important for timely planning of RRT initiation, including coordination of equipment and personnel at the hospital level. This study aimed to develop and validate machine learning (ML) models that predict the need for RRT within 24 h of septic shock recognition in the ED. Methods: We analyzed data from the Korean Shock Society septic shock registry collected from October 2015 to December 2023. Feature selection was performed using least absolute shrinkage and selection operator regression, and five ML models were trained. The best-performing model was selected based on the area under the receiver operating characteristic curve (AUROC). Shapley additive explanations were used to interpret the contribution of each feature. Results: In total, 5361 patients were included in the analysis, of whom 728 (13.6%) required RRT within 24 h. Among the evaluated models, categorical boosting (CatBoost) demonstrated the best discrimination with an AUROC of 0.86 (95% CI, 0.833–0.887), outperforming conventional severity scores such as the Sequential Organ Failure Assessment (AUROC, 0.673 [95% CI, 0.628–0.717]) and the Acute Physiology and Chronic Health Evaluation (AUROC, 0.672 [95% CI, 0.623–0.719]). Conclusions: The CatBoost model demonstrated moderate discriminative performance for predicting early RRT requirement within 24 h of ED septic shock recognition. 2026-12-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/210818 Title: Emerging electronic deodorization technologies for human odor management Authors: Lee, Solpa; Diwe, Pratiksha; Lim, Tae Ho; Jang, Yongwoo Abstract: [No abstract available] 2026-09-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212531 Title: Comparison of prognosis in emergency department elderly septic shock patients with initial hypotension versus delayed hypotension Authors: Lee, Chaeeun; Suh, Gil Joon; Choi, Sung-Hyuk; Chung, Sung Phil; Kim, Won Young; Lim, Tae Ho; Choi, Sangchun; Shin, Tae Gun; Nah, Sangun; Han, Sangsoo Abstract: Background and importance – Hypotension and advanced-age are significant risk factors for increased sepsis-related mortality. However, the relationship between the timing of hypotension in the emergency department (ED) and the prognosis of elderly patients with septic shock is little understood. Objective – To determine the effect of hypotension on arrival at the ED with the prognosis of elderly patients with septic shock. Design, settings, and participants – A retrospective analysis of a multicenter registry that was prospectively collected from 12 EDs. Patients aged older than 65 years who were diagnosed with septic shock requiring vasopressor support from October 2015 to December 2022 were included. Hypotension was defined as a systolic blood pressure less than 90 mmHg or a mean arterial pressure less than 65 mmHg. Based on the timing of the first hypotension episode, patients were divided into two groups: the initial hypotension group (hypotension on arrival at the ED) and the delayed hypotension group (developed hypotension while staying in the ED). Outcome measures and analysis – The primary outcome was 28-day mortality of elderly patients with septic shock, and the secondary outcomes were ICU admission, mechanical ventilation within 24 h, and renal replacement therapy (RRT) within 24 h. A multivariable Cox proportional hazards model was used to analyze the association between initial hypotension and the outcomes. A Kaplan–Meier curve was constructed to investigate the survival probabilities of the patients. Main results – This study included 1444 patients [868 (60.1%) with initial hypotension and 576 (39.9%) with delayed hypotension]. Initial hypotension was significantly associated with 28-day mortality [hazard ratio: 1.20, 95% confidence interval (CI): 1.00–1.45, P = 0.049]. However, initial hypotension was not associated with ICU admission (hazard ratio: 1.13, 95% CI: 0.96–1.33, P = 0.154), mechanical ventilation within 24 h (hazard ratio: 0.85, 95% CI: 0.69–1.06, P = 0.147), or RRT within 24 h (hazard ratio: 1.05, 95% CI: 0.76–1.46, P = 0.775). Conclusion – This study highlights the prognostic value of initial hypotension in elderly patients with septic shock, showing its association with a high risk of 28-day mortality. 2026-06-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/217704 Title: Comparison of the effectiveness of automatic and manual plasma-treated hydrogen peroxide mist disinfection in various teaching hospital environments Authors: Choi, Jongbong; Lee, Yangsoon; Kim, Yunjin; Lim, Tae Ho Abstract: Background Automatic disinfection technologies have been developed to improve the reliability and thoroughness of hospital disinfection. However, it is not clear whether automated systems can achieve similar disinfection results to those obtained by well-trained professionals using manual methods. We evaluated the disinfection efficacies of automatic and manual plasma-treated hydrogen peroxide mist (PTHPM) systems in various hospital environments. Methods Disinfection was performed in 23 rooms in a teaching hospital, covering various hospital wards, outpatient departments, and emergency rooms. Overall, 459 surfaces were swabbed before and after disinfection. Only gram-positive bacteria were analyzed statistically owing to the low prevalence of gram-negative bacteria and molds. Results Before disinfection, the viability of gram-positive bacteria, based on colony-forming units, was highest in outpatient departments, followed by emergency rooms and hospital wards using both automatic and manual disinfection. Automatic PTHPM disinfection reduced the colony-forming units of gram-positive bacteria significantly in various environments. There were no significant differences in the effectiveness of automated and manual PTHPM disinfection. Conclusions Automated PTHPM disinfection can be as effective as manual PTHPM disinfection in eliminating microbial contamination in teaching hospital environments. 2026-05-01T00:00:00Z