https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/444 2026-07-03T22:21:55Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/213328 Title: Prediction of Posterior Communicating Artery Aneurysm Rupture Risk: A Multivariate Analysis of Aneurysm and Surrounding Arterial Morphological Factors Authors: Nahm, Minu; Ko, Shin-Woong; Yi, Hyeong-Joong; Chun, Hyeong-Joon; Na, Min-Kyun; Lee, Young-Jun; Kim, KyuNam; Lee, Sang Hyung; Ryu, Jaiyoung; Song, Simon; Han, Kunhee; Choi, Kyu-Sun Abstract: Background/Objectives: Recent studies have increasingly focused on the morphological characteristics of surrounding arteries as rupture predictors, particularly because these vessel configurations remain stable before and after aneurysm rupture, providing a reliable anatomical substrate for risk assessment. This study aimed to identify independent predictors of rupture by evaluating both aneurysmal and internal carotid artery (ICA) morphological characteristics. Methods: We retrospectively analyzed imaging data from 64 patients with posterior communicating artery (PcomA) aneurysms who underwent treatment at a single tertiary center between 2018 and 2022, including 25 ruptured aneurysms (39.1%). Only treated aneurysms were included to ensure the availability of high-quality pre-treatment digital subtraction angiography (DSA) suitable for three-dimensional (3D) reconstruction and centerline-based analysis. Seventeen aneurysm morphological parameters and thirteen ICA-related parameters were measured. Because time-to-event data were not available, logistic regression analysis was performed with rupture status as the outcome variable. Receiver operating characteristic (ROC) curve analyses were conducted to evaluate discriminative performance. Results: Multivariate logistic regression revealed that three ICA-associated factors—the tortuosity of the communicating ICA segment (Tcco), the ICA cross-sectional area at the PcomA origin (Pcs), and the angle between the ICA and PcomA (θ2)—were independently associated with rupture. Among aneurysm-related factors, Maximum 3D Diameter remained significantly related to rupture risk. ROC analyses demonstrated that Maximum 3D Diameter had the highest discriminative value (AUC 0.779; cut-off 7.805 mm), followed by Pcs, Tcco, and θ2. Conclusions: Both aneurysm morphology and the anatomical configuration of surrounding arteries significantly contribute to rupture risk in PcomA aneurysms. Incorporating parent-vessel morphological features into rupture-risk assessment may enhance patient-specific decision-making. 2026-05-01T00:00:00Z 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 https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/212788 Title: The REDD1–NF-κB–miRNAs–eNOS/SIRT1 axis mediates obesity-induced endothelial cell senescence and hypertension Authors: Choi, Yoon Kyung; Lee, Dong-Keon; Park, Minsik; Byeon, Junyoung; Nam, Woo-Young; Lai, Thuy Linh; Kim, Kyu Nam; Kim, Okhwa; Ryoo, Sungwoo; Lee, Jeong-Hyung; Kwon, Young-Guen; Kim, Ji-Yoon; Kim, Young-Myeong Abstract: Vascular dysfunction, including endothelial cell (EC) senescence and hypertension, is a hallmark of metabolic syndrome, yet its underlying mechanisms remain unclear. Here, we show that metabolic stress upregulates regulated in development and DNA damage response 1 (REDD1), driving vascular dysfunction. Overexpression of REDD1, but not the REDD1KK219/220AA mutant, which cannot activate atypical NF-κB, promotes EC senescence and hypertension through NF-κB-dependent induction of miR-155-5p and miR-214-3p. These miRNAs suppress endothelial nitric oxide synthase (eNOS) and SIRT1 expression in human and mouse ECs. In obese male mice, REDD1 and miR-214-3p are upregulated, whereas eNOS and SIRT1 are downregulated, contributing to EC senescence, renal dysfunction, and hypertension. This phenotype is alleviated in mice lacking Redd1, EC-specific Redd1, or miR-214-3p, and in mice expressing Redd1KK219/220AA, but only partially by IKKβ inhibition. These findings identify a REDD1–atypical NF-κB–miRNAs–eNOS/SIRT1 axis as a critical mediator of obesity-induced vascular dysfunction and a promising therapeutic target. 2026-03-01T00:00:00Z https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209140 Title: Analysis and development of risk prediction models for chronic opioid use after surgery: a cohort study using the nationwide database Authors: Kim, Jonghae; Yang, Hyun-Lim; Kim, Eugene; Lee, Hyung-Chul; Yoon, Hyun-Kyu; Kim, Yun Jin; Kim, Kyu-Nam; Kim, Ji-Yoon; Sung, Jeong Min; Lee, Tagkeun Abstract: Background Chronic opioid use has become a socioeconomic as well as a medical problem. This study aimed to identify risk factors and develop prediction models for postoperative chronic opioid use (PCOU). Methods This retrospective cohort study used data from the Korean National Health Insurance Service (NHIS) between January 2008 and December 2018. Of 2 077 825 patients aged seven years or older who underwent surgery, survived at least one year, and had no additional surgeries, 1 108 119 were randomly selected. Logistic regression (LR) and machine learning models were developed to identify risk factors for PCOU. PCOU was defined as having filled 10 or more prescriptions or receiving more than 120 days’ supply between postoperative days 91 and 365. Age, sex, medical comorbidities (systemic diseases, psychological disorders, and substance use disorders), preoperative medications (antidepressants, antipsychotics, anticonvulsants, benzodiazepines, opioids, and nonopioid analgesics), and type of surgery were assessed as potential risk factors. Results PCOU occurred in 9308 patients (0.84%). Older age, preoperative history of opioid use, and high in-hospital opioid doses were the three most important predictors. Among the 28 most commonly performed surgical procedures in Korea, lung surgery, general spinal surgery, and total knee arthroplasty were most strongly associated with chronic opioid use. Conclusions According to the best-performing gradient boosting model, older age, longer hospital stay, high in-hospital opioid consumption, and preoperative opioid use were the most important risk factors for PCOU. 2025-10-01T00:00:00Z