Leerang Lim
Seoul National University · 医学
研究室紹介
Professor Leerang Lim's research lab specializes in perioperative and critical care medicine, with a strong focus on improving patient outcomes through data-driven clinical decision-making. The lab develops and validates machine learning models using large-scale electronic health record data to predict critical outcomes such as postoperative delirium, acute kidney injury, and ICU readmission. Their work spans diverse clinical settings, including cardiac surgery, liver transplantation, and intensive care, with an emphasis on real-time risk prediction and physiological monitoring. The lab also contributes to the scientific community by creating and sharing comprehensive public datasets, such as the INSPIRE dataset, to advance research in perioperative medicine.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15It has been suggested that carotid endarterectomy for carotid bifurcation disease may be contraindicated in the presence of carotid siphon lesions. This study was undertaken to assess any difference in stroke rate, mortality, or relief of symptoms in patients with and without such "tandem" lesions following elective carotid endarterectomy. Ninety-one bifurcation endarterectomies were performed in 79 patients. The patients were divided into two groups. Group I (44 patients, 47 endarterectomies) h
BACKGROUND: A real-time model for predicting short-term mortality in critically ill patients is needed to identify patients at imminent risk. However, the performance of the model needs to be validated in various clinical settings and ethnicities before its clinical application. In this study, we aim to develop an ensemble machine learning model using routinely measured clinical variables at a single academic institution in South Korea. METHODS: We developed an ensemble model using deep learning
We present the INSPIRE dataset, a publicly available research dataset in perioperative medicine, which includes approximately 130,000 surgical operations at an academic institution in South Korea over a ten-year period between 2011 and 2020. This comprehensive dataset includes patient characteristics such as age, sex, American Society of Anesthesiologists physical status classification, diagnosis, surgical procedure code, department, and type of anaesthesia. The dataset also includes vital signs
Abstract Background Cerebral oximetry has been widely used to measure regional oxygen saturation in brain tissue, especially during cardiac surgery. Despite its popularity, there have been inconsistent results on the use of cerebral oximetry during cardiac surgery, and few studies have evaluated cerebral oximetry during off pump coronary artery bypass graft surgery (OPCAB). Methods To evaluate the relationship between intraoperative cerebral oximetry and postoperative delirium in patients who un
Acute kidney injury (AKI) is a frequent complication after living donor liver transplantation (LDLT), and is associated with increased mortality. However, the association between intraoperative oliguria and the risk of AKI remains uncertain for LDLT. We sought to determine the association between intraoperative oliguria alone and oliguria coupled with hemodynamic derangement and the risk of AKI after LDLT. We evaluated the hemodynamic variables, including mean arterial pressure, cardiac index, a
Background: Intensive care unit (ICU) readmission is a crucial indicator of patient safety. However, discharge decisions often rely on subjective assessment due to a lack of standardized guidelines. We aimed to develop a machine-learning model to predict ICU readmission within 48 h and compare its performance to traditional scoring systems. Methods: We developed an ensemble model, iREAD, that generates a probability score at ICU discharge, representing the likelihood of the patient being readmit
With the growing interest of researchers in machine learning and artificial intelligence (AI) based on large data, their roles in medical research have become increasingly prominent. Despite the proliferation of predictive models in perioperative medicine, external validation is lacking. Open datasets, defined as publicly available datasets for research, play a crucial role by providing high-quality data, facilitating collaboration, and allowing an objective evaluation of the developed models. A
BACKGROUND: Continuous renal replacement therapy is a relatively common modality applied to critically ill patients with renal impairment. To maintain stable continuous renal replacement therapy, sufficient blood flow through the circuit is crucial, but catheter dysfunction reduces the blood flow by inadequate pressures within the circuit. Therefore, exploring and modifying the possible risk factors related to catheter dysfunction can help to provide continuous renal replacement therapy with min
OBJECTIVES: This study aimed to demonstrate the impact of virtual visits on the satisfaction of family members and the anxiety and depression of patients in the ICU during the COVID-19 pandemic. DESIGN: A single-center, randomized controlled trial. SETTING: This study was conducted from July 2021 to May 2022, in the Seoul National University Hospital. PATIENTS: A total of 40 patients eligible for virtual visitation whose Richmond Agitation-Sedation Scale score was -2 or above were recruited and
UN에 의하면 아시아, 아프리카, 중남미의 개발도상국을 중심으로 도시화가 진전되면서 2010년에 이미 세계 인구의 절반이 도시에 살게 되었고, 앞으로도 그 속도가 더욱 빨라져 개발도상국의 도시인구는 2010년 26억 명에서 2050년 51억 명으로 크게 증가할 것으로 예상되고 있다.1) 그렇지만 도시화에 따른 불량주거지의 확산으로 전 세계 도시인구의 1/3이 슬럼(slum)과 무허가정착지(squatter)에 거주하고 있고 그 중 반 이상이 아시아에 집중되어 있는 등(UN-Habitat, 2003), 개발도상국의 주택문제는 매우 심각한 상황이다. 특히 개발도상국의 불량주거지 인구는 2010년 8.28억 명에서 2030년 22.5억 명으로 증가할 것으로 추산되는데(UN-Habitat, 2012), 이들의 주택문제를 해결하기 위해서는 가구당 5인 기준으로 2030년까지 4.5억 호의 주택이 연간 2,250만호, 하루 평균 6만호씩 공급되어야 한다. 이에 따라 개발도상국의 주택건설이 촉진되
INTRODUCTION: Intravenous patient-controlled analgesia (PCA) has been one of the most popular modalities for postoperative pain management in orthopedic surgery, plastic surgery, or neurosurgery in children. OBJECTIVE: We compared the effects of fentanyl and sufentanil used in intravenous PCA on postoperative pain management and opioid-related side effects in pediatric moyamoya disease. METHODS: This retrospective study included 97 pediatric patients who underwent surgery for moyamoya disease. P
BACKGROUND: Atelectasis is a common complication after upper abdominal surgery and considered as a cause of early postoperative fever (EPF) within 48 hours after surgery. However, the pathophysiologic mechanism of how atelectasis causes fever remains unclear. STUDY DESIGN: Data for adult patients who underwent elective major upper abdominal surgery under general anesthesia at Seoul National University Hospital between January and December of 2021 were retrospectively analyzed. The primary outcom
Abstract Guidelines from the World Health Organization strongly recommend the use of a high fraction of inspired oxygen (FiO 2 ) in adult patients undergoing general anesthesia to reduce surgical site infection (SSI). However, previous meta-analyses reported inconsistent results. We aimed to address this controversy by focusing specifically on abdominal surgery with relatively high risk of SSI. Medline, EMBASE, and Cochrane CENTRAL databases were searched. Randomized trials of abdominal surgery
Abstract Corticosteroids remain the mainstay of immunosuppression for liver transplant recipients despite several serious complications including infection, hepatitis C virus (HCV) recurrence, diabetes mellitus (DM), and hypertension. We attempted to compare the safety and efficacy of T-cell specific antibody induction with complete corticosteroid avoidance. We searched MEDLINE, EMBASE, and Cochrane central library. Randomized controlled trials comparing T-cell specific antibody induction with c