Acute and Critical Care

Original Articles

Epidemiology
Characteristics, management and clinical outcomes of patients with sepsis: a multicenter cohort study in Korea: Kyeongman Jeon, Soo Jin Na, Dong Kyu Oh, Sunghoon Park, Eun Young Choi, Seok Chan Kim, Gil Myeong Seong, Jeongwon Heo, Youjin Chang, Won Gun Kwack, Byung Ju Kang, Won-Il Choi, Kyung Chan Kim, So Young Park, Sang Hyun Kwak, Yoon Mi Shin, Heung Bum Lee, So Hee Park, Jae Hwa Cho, Beongki Kim, Chae‐Man Lim; Acute Crit Care. 2019;34(3):179-191. Published online July 1, 2019; DOI: https://doi.org/10.4266/acc.2019.00514

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Background
Mortality rates associated with sepsis have increased progressively in Korea, but domestic epidemiologic data remain limited. The objective of this study was to investigate the characteristics, management and clinical outcomes of sepsis patients in Korea.
Methods
This study is a multicenter retrospective cohort study. A total of 64,021 adult patients who visited an emergency department (ED) within one of the 19 participating hospitals during a 1-month period were screened for eligibility. Among these, patients diagnosed with sepsis based on the third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3) were included in the study.
Results
Using the Sepsis-3 criteria, 977 sepsis patients were identified, among which 36.5% presented with septic shock. The respiratory system (61.8%) was the most common site of infection. The pathogen involved was identified in 444 patients (45.5%) and multi-drug resistance (MDR) pathogens were isolated in 171 patients. Empiric antibiotic therapy was appropriate in 68.6% of patients, but the appropriateness was significantly reduced in infections associated with MDR pathogens as compared with non-MDR pathogens (58.8% vs. 76.0%, P<0.001). Hospital mortality was 43.2% and 18.5% in sepsis patients with and without shock, respectively. Of the 703 patients who survived to discharge, 61.5% were discharged to home and 38.6% were transferred to other hospitals or facilities.
Conclusions
This study found the prevalence of sepsis in adult patients visiting an ED in Korea was 1.5% (15.2/1,000 patients). Patients with sepsis, especially septic shock, had a high mortality and were often referred to step-down centers after acute and critical care.

Citations

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Early Prediction of Mortality for Septic Patients Visiting Emergency Room Based on Explainable Machine Learning: A Real-World Multicenter Study
Sang Won Park, Na Young Yeo, Seonguk Kang, Taejun Ha, Tae-Hoon Kim, DooHee Lee, Dowon Kim, Seheon Choi, Minkyu Kim, DongHoon Lee, DoHyeon Kim, Woo Jin Kim, Seung-Joon Lee, Yeon-Jeong Heo, Da Hye Moon, Seon-Sook Han, Yoon Kim, Hyun-Soo Choi, Dong Kyu Oh, S
Journal of Korean Medical Science.2024;[Epub] CrossRef
Deficits in blood culture collection in the emergency department if sepsis is suspected: results of a retrospective cohort study
Charlotte Berninghausen, Frank Schwab, Alexander Gropmann, Bernd A. Leidel, Rajan Somasundaram, Lydia Hottenbacher, Petra Gastmeier, Sonja Hansen
Infection.2024; 52(4): 1385. CrossRef
Pre-Sepsis Length of Hospital Stay and Mortality: A Nationwide Multicenter Cohort Study
Joong-Yub Kim, Hong Yeul Lee, Jinwoo Lee, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, Sang-Min Lee
Journal of Korean Medical Science.2024;[Epub] CrossRef
Development and validation of an interpretable model for predicting sepsis mortality across care settings
Young Seok Lee, Seungbong Han, Ye Eun Lee, Jaehwa Cho, Young Kyun Choi, Sun-Young Yoon, Dong Kyu Oh, Su Yeon Lee, Mi Hyeon Park, Chae-Man Lim, Jae Young Moon, Sang‑Bum Hong, Suk‑Kyung Hong, Gee Young Suh, Kyeongman Jeon, Ryoung‑Eun Ko, Young‑Jae Cho, Yeon
Scientific Reports.2024;[Epub] CrossRef
ChatGPT Predicts In-Hospital All-Cause Mortality for Sepsis: In-Context Learning with the Korean Sepsis Alliance Database
Namkee Oh, Won Chul Cha, Jun Hyuk Seo, Seong-Gyu Choi, Jong Man Kim, Chi Ryang Chung, Gee Young Suh, Su Yeon Lee, Dong Kyu Oh, Mi Hyeon Park, Chae-Man Lim, Ryoung-Eun Ko
Healthcare Informatics Research.2024; 30(3): 266. CrossRef
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Jiwon Lee, Hee-Ju Kim
Clinical Nursing Research.2024; 33(8): 610. CrossRef
Culture-negative sepsis may be a different entity from culture-positive sepsis: a prospective nationwide multicenter cohort study
Youjin Chang, Ju Hyun Oh, Dong Kyu Oh, Su Yeon Lee, Dong-gon Hyun, Mi Hyeon Park, Chae-Man Lim, Chae-Man Lim, Sang-Bum Hong, Dong Kyu Oh, Su Yeon Lee, Gee Young Suh, Kyeongman Jeon, Ryoung-Eun Ko, Young-Jae Cho, Yeon Joo Lee, Sung Yoon Lim, Sunghoon Park,
Critical Care.2024;[Epub] CrossRef
Challenges of implementing the hour-1 sepsis bundle: a qualitative study from a secondary hospital in Indonesia
Priyo Sasmito, Satriya Pranata, Rian Adi Pamungkas, Etika Emaliyawati, Nisa Arifani
Acute and Critical Care.2024; 39(4): 545. CrossRef
Early management of adult sepsis and septic shock: Korean clinical practice guidelines
Chul Park, Nam Su Ku, Dae Won Park, Joo Hyun Park, Tae Sun Ha, Do Wan Kim, So Young Park, Youjin Chang, Kwang Wook Jo, Moon Seong Baek, Yijun Seo, Tae Gun Shin, Gina Yu, Jongmin Lee, Yong Jun Choi, Ji Young Jang, Yun Tae Jung, Inseok Jeong, Hwa Jin Cho, A
Acute and Critical Care.2024; 39(4): 445. CrossRef
Platelet indices in critically ill septic patients as a predictor of mortality
Rehab Salah Taha, Mohamed Elsayed Afandy, Abdelaziz Hamid Elbadawi, Mohamed Samir Abd El Ghafar
Egyptian Journal of Anaesthesia.2023; 39(1): 56. CrossRef
Antibiogram of Multidrug-Resistant Bacteria Based on Sepsis Onset Location in Korea: A Multicenter Cohort Study
Hyung-Jun Kim, Dong Kyu Oh, Sung Yoon Lim, Young-Jae Cho, Sunghoon Park, Gee Young Suh, Chae-Man Lim, Yeon Joo Lee
Journal of Korean Medical Science.2023;[Epub] CrossRef
HYPOTENSION AT THE TIME OF SEPSIS RECOGNITION IS NOT ASSOCIATED WITH INCREASED MORTALITY IN SEPSIS PATIENTS WITH NORMAL LACTATE LEVELS
Ji Hwan Kim, Yong Kyun Kim, Dong Kyu Oh, Kyeongman Jeon, Ryoung-Eun Ko, Gee Young Suh, Sung Yun Lim, Yeon Joo Lee, Young-Jae Cho, Mi-Hyeon Park, Sang-Bum Hong, Chae-Man Lim, Sunghoon Park
Shock.2023; 59(3): 360. CrossRef
Mortality among adult patients with sepsis and septic shock in Korea: a systematic review and meta-analysis
Myeong Namgung, Chiwon Ahn, Yeonkyung Park, Il-Youp Kwak, Jungguk Lee, Moonho Won
Clinical and Experimental Emergency Medicine.2023; 10(2): 157. CrossRef
Effects of prior antiplatelet and/or nonsteroidal anti-inflammatory drug use on mortality in patients undergoing abdominal surgery for abdominal sepsis
Se Hun Kim, Ki Hoon Kim
Surgery.2023; 174(3): 611. CrossRef
Clinical effects of bacteremia in sepsis patients with community-acquired pneumonia
Tae Wan Kim, Se-Uk Lee, Boram Park, Kyeongman Jeon, Sunghoon Park, Gee Young Suh, Dong Kyu Oh, Soo Yeon Lee, Mi Hyeon Park, Haein Lee, Chae-man Lim, Ryoung-Eun Ko, Sang-Bum Hong, Suk-Kyung Hong, Yeon Joo Lee, Young-Jae Cho, Sung Yoon Lim, Jeongwon Heo, Ja
BMC Infectious Diseases.2023;[Epub] CrossRef
Current status of treatment of acute respiratory failure in Korea
Yong Jun Choi, Jae Hwa Cho
Journal of the Korean Medical Association.2022; 65(3): 124. CrossRef
Clinical Characteristics and Outcomes of Neutropenic Sepsis: A Multicenter Cohort Study
Soo Jin Na, Dong Kyu Oh, Sunghoon Park, Yeon Joo Lee, Sang-Bum Hong, Mi-Hyun Park, Ryoung-Eun Ko, Chae-Man Lim, Kyeongman Jeon
Shock.2022; 57(5): 659. CrossRef
Mortality of patients with hospital-onset sepsis in hospitals with all-day and non-all-day rapid response teams: a prospective nationwide multicenter cohort study
Dong-gon Hyun, Su Yeon Lee, Jee Hwan Ahn, Jin Won Huh, Sang-Bum Hong, Younsuck Koh, Chae-Man Lim, Dong Kyu Oh, Gee Young Suh, Kyeongman Jeon, Ryoung-Eun Ko, Young-Jae Cho, Yeon Joo Lee, Sung Yoon Lim, Sunghoon Park, Jeongwon Heo, Jae-myeong Lee, Kyung Cha
Critical Care.2022;[Epub] CrossRef
Clinical outcomes and prognostic factors of patients with sepsis caused by intra-abdominal infection in the intensive care unit: a post-hoc analysis of a prospective cohort study in Korea
Chan Hee Park, Jeong Woo Lee, Hak Jae Lee, Dong Kyu Oh, Mi Hyeon Park, Chae-Man Lim, Suk-Kyung Hong, Chae-Man Lim, Sang-Bum Hong, Dong Kyu Oh, Gee Young Suh, Kyeongman Jeon, Ryoung-Eun Ko, Young-Jae Cho, Yeon Joo Lee, Sung Yoon Lim, Sunghoon Park, Chae-Ma
BMC Infectious Diseases.2022;[Epub] CrossRef
Sepsis in the XXI Century: Etiology, Risk Factors, Epidemiological Features, Complications, Prevention
L. I. Gomanova, A. Y. Brazhnikov
Epidemiology and Vaccinal Prevention.2021; 20(3): 107. CrossRef
Characteristics, Management, and Clinical Outcomes of Patients with Hospital-Acquired and Ventilator-Associated Pneumonia: A Multicenter Cohort Study in Korea
Ryoung-Eun Ko, Kyung Hoon Min, Sang-Bum Hong, Ae-Rin Baek, Hyun-Kyung Lee, Woo Hyun Cho, Changhwan Kim, Youjin Chang, Sung-Soon Lee, Jee Youn Oh, Heung Bum Lee, Soohyun Bae, Jae Young Moon, Kwang Ha Yoo, Kyeongman Jeon
Tuberculosis and Respiratory Diseases.2021; 84(4): 317. CrossRef
Clinical Usefulness of Red Cell Distribution Width/Albumin Ratio to Discriminate 28-Day Mortality in Critically Ill Patients with Pneumonia Receiving Invasive Mechanical Ventilation, Compared with Lacate/Albumin Ratio: A Retrospective Cohort Study
Jong Hwan Jeong, Manbong Heo, Seung Jun Lee, Yi Yeong Jeong, Jong Deog Lee, Jung-Wan Yoo
Diagnostics.2021; 11(12): 2344. CrossRef
Review of 20 Years of Continuous Quality Improvement of a Rapid Response System, at Four Institutions, to Identify Key Process Responsible for Its Success
Mary Anne Vandegrift, Robert Granata, Vicken Y. Totten, John Kellett, Frank Sebat
Critical Care Explorations.2021; 3(8): e0448. CrossRef
An Update on Sepsis Biomarkers
Mi-Hee Kim, Jung-Hyun Choi
Infection & Chemotherapy.2020; 52(1): 1. CrossRef
Normothermia in Patients With Sepsis Who Present to Emergency Departments Is Associated With Low Compliance With Sepsis Bundles and Increased In-Hospital Mortality Rate*
Sunghoon Park, Kyeongman Jeon, Dong Kyu Oh, Eun Young Choi, Gil Myeong Seong, Jeongwon Heo, Youjin Chang, Won Gun Kwack, Byung Ju Kang, Won-Il Choi, Kyung Chan Kim, So Young Park, Yoon Mi Shin, Heung Bum Lee, So Hee Park, Seok Chan Kim, Sang Hyun Kwak, Ja
Critical Care Medicine.2020; 48(10): 1462. CrossRef
Prevention of sepsis in an aging society
Youngjoon Kang
Acute and Critical Care.2019; 34(3): 221. CrossRef
Optimal antimicrobial therapy and antimicrobial stewardship in sepsis and septic shock
Hyeri Seok, Dae Won Park
Journal of the Korean Medical Association.2019; 62(12): 638. CrossRef
Sepsis
Yunghee Lee, Young-Jae Cho
The Korean Journal of Medicine.2019; 94(6): 495. CrossRef

Trauma
The Best Prediction Model for Trauma Outcomes of the Current Korean Population: a Comparative Study of Three Injury Severity Scoring Systems: Kyoungwon Jung, John Cook-Jong Lee, Rae Woong Park, Dukyong Yoon, Sungjae Jung, Younghwan Kim, Jonghwan Moon, Yo Huh, Junsik Kwon; Korean J Crit Care Med. 2016;31(3):221-228. Published online August 30, 2016; DOI: https://doi.org/10.4266/kjccm.2016.00486

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Abstract PDF

Background
Injury severity scoring systems that quantify and predict trauma outcomes have not been established in Korea. This study was designed to determine the best system for use in the Korean trauma population.
Methods
We collected and analyzed the data from trauma patients admitted to our institution from January 2010 to December 2014. Injury Severity Score (ISS), Revised Trauma Score (RTS), and Trauma and Injury Severity Score (TRISS) were calculated based on the data from the enrolled patients. Area under the receiver operating characteristic (ROC) curve (AUC) for the prediction ability of each scoring system was obtained, and a pairwise comparison of ROC curves was performed. Additionally, the cut-off values were estimated to predict mortality, and the corresponding accuracy, positive predictive value, and negative predictive value were obtained.
Results
A total of 7,120 trauma patients (6,668 blunt and 452 penetrating injuries) were enrolled in this study. The AUCs of ISS, RTS, and TRISS were 0.866, 0.894, and 0.942, respectively, and the prediction ability of the TRISS was significantly better than the others (p < 0.001, respectively). The cut-off value of the TRISS was 0.9082, with a sensitivity of 81.9% and specificity of 92.0%; mortality was predicted with an accuracy of 91.2%; its positive predictive value was the highest at 46.8%.
Conclusions
The results of our study were based on the data from one institution and suggest that the TRISS is the best prediction model of trauma outcomes in the current Korean population. Further study is needed with more data from multiple centers in Korea.

Citations

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Outcomes in trauma patients undergoing veno-venous extracorporeal membrane oxygenation for acute respiratory distress syndrome
Seon Hee Kim, Up Huh, Seunghwan Song, Min Su Kim, Il Jae Wang, Young Jin Tak
Perfusion.2023; 38(5): 1037. CrossRef
Prehospital Trauma Scoring Systems for Evaluation of Trauma Severity and Prediction of Outcomes
Radojka Jokšić-Mazinjanin, Nikolina Marić, Aleksandar Đuričin, Zoran Gojković, Velibor Vasović, Goran Rakić, Milena Jokšić-Zelić, Siniša Saravolac
Medicina.2023; 59(5): 952. CrossRef
Thorax trauma severity score and trauma injury severity score evaluation as outcome predictors in chest trauma
Tamer F.A. El-Aziz, Abdallah S. El Din Abdallah, Alaa G.A. Abdo, Mohammed A. El-Hag-Aly
Research and Opinion in Anesthesia & Intensive Care.2022; 9(2): 112. CrossRef
Correlation between trauma and injury severity score and prognosis in patients with trauma
Chusnul Chatimah, Indah D. Pratiwi, Chairul H. Al Husna
Journal of Taibah University Medical Sciences.2021; 16(6): 807. CrossRef
Trauma Volume and Performance of a regional Trauma Center in Korea: Initial 5-year analysis
Byungchul Yu, Giljae Lee, Min A Lee, Kangkook Choi, Sungyoul Hyun, Yangbin Jeon, Yong-Cheol Yoon, Jungnam Lee
Journal of Trauma and Injury.2020; 33(1): 31. CrossRef
Inclusion of lactate level measured upon emergency room arrival in trauma outcome prediction models improves mortality prediction: a retrospective, single-center study
Jonghwan Moon, Kyungjin Hwang, Dukyong Yoon, Kyoungwon Jung
Acute and Critical Care.2020; 35(2): 102. CrossRef
Trauma and Injury Severity Score modification for predicting survival of trauma in one regional emergency medical center in Korea: Construction of Trauma and Injury Severity Score coefficient model
In Hye Kang, Kang Hyun Lee, Hyun Youk, Jeong Il Lee, Hee Young Lee, Keum Seok Bae
Hong Kong Journal of Emergency Medicine.2019; 26(4): 225. CrossRef
The thorax trauma severity score and the trauma and injury severity score
Seong Ho Moon, Jong Woo Kim, Joung Hun Byun, Sung Hwan Kim, Jun Young Choi, In Seok Jang, Chung Eun Lee, Jun Ho Yang, Dong Hun Kang, Ki Nyun Kim, Hyun Oh Park
Medicine.2017; 96(42): e8317. CrossRef

Infection
Sepsis in Patients Receiving Immunosuppressive Drugs in Korea: Analysis of the National Insurance Database from 2009 to 2013: Seung-Young Oh, Songhee Cho, Hannah Lee, Eun Jin Chang, Se Hee Min, Ho Geol Ryu; Korean J Crit Care Med. 2015;30(4):249-257. Published online November 30, 2015; DOI: https://doi.org/10.4266/kjccm.2015.30.4.249

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Abstract PDF

Background
The aim of this study is to evaluate the influence of immunosuppressants on in-hospital mortality from sepsis.
Methods
Using data of the Health Insurance Review & Assessment Service, we collected data from patients who were admitted to the hospital due to sepsis from 2009 to 2013. Based on drugs commonly used for immunosuppression caused by various diseases, patients were divided into three groups; immunosuppressant group, steroid-only group, and control group. Patients with no history of immunosuppressants or steroids were assigned to the control group. To identify risk factors of in-hospital mortality in sepsis, we compared differences in patient characteristics, comorbidities, intensive care unit (ICU) care requirements, and immunodeficiency profiles. Subgroup analysis according to age was also performed.
Results
Of the 185,671 included patients, 13,935 (7.5%) were in the steroid-only group and 2,771 patients (1.5%) were in the immunosuppressant group. The overall in-hospital mortality was 38.9% and showed an increasing trend with age. The steroid-only group showed the lowest in-hospital mortality among the three groups except the patients younger than 30 years. The steroid-only group and immunosuppressant group received ICU treatment more frequently (p < 0.001), stayed longer in the hospital (p < 0.001), and showed higher medical expenditure (p < 0.001) compared to the normal group. Univariate and multivariate analyses revealed that age, male gender, comorbidities (especially malignancy), and ICU treatment had a significant effect on in-hospital mortality.
Conclusions
Despite longer hospital length of stay and more frequent need for ICU care, the in-hospital mortality was lower in patients taking immunosuppressive drugs than in patients not taking immunosuppressive drugs.

Citations

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Predictive performance of NEWS and qSOFA in immunocompromised sepsis patients at the emergency department
Lisanne Boekhoud, Helena M. E. A. Schaap, Rick L. Huizinga, Tycho J. Olgers, Jan C. ter Maaten, Douwe F. Postma, Hjalmar R. Bouma
Infection.2024; 52(5): 1863. CrossRef
Effects of Early Initiation of High-Dose Dexamethasone Therapy on Pro-Inflammatory Cytokines and Mortality in LPS-Challenged Mice
Ji-young Son, Won Gun Kwack, Eun Kyoung Chung, Sooyoung Shin, Yeo Jin Choi
Healthcare.2022; 10(7): 1247. CrossRef
Alleviation of LPS-Induced Inflammation and Septic Shock by Lactiplantibacillus plantarum K8 Lysates
Gayoung Kim, Kyeong-Hun Choi, Hangeun Kim, Dae-Kyun Chung
International Journal of Molecular Sciences.2021; 22(11): 5921. CrossRef
Critical Care Research Using “Big Data”: A Reality in the Near Future
Kwangha Lee
Acute and Critical Care.2018; 33(4): 269. CrossRef
Should Very Old Patients Be Admitted to the Intensive Care Units?
Jun Kwon Cha, In-Ae Song
The Korean Journal of Critical Care Medicine.2017; 32(4): 376. CrossRef
Sepsis in Immunocompromised Patients: Current Status in Korea
Kwangha Lee
The Korean Journal of Critical Care Medicine.2015; 30(4): 239. CrossRef

Review Articles

Hematology
Severe Fever with Thrombocytopenia Syndrome: Seung Jin Yoo, Sang Taek Heo, Keun Hwa Lee; Korean J Crit Care Med. 2014;29(2):59-63. Published online May 31, 2014; DOI: https://doi.org/10.4266/kjccm.2014.29.2.59

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Abstract PDF

Severe fever with thrombocytopenia syndrome (SFTS) is a newly emerging infectious disease, caused by a novel species of Phlebovirus of Bunyaviridae family, in China, South Korea, and Japan. SFTS is primarily known as a tick-borne disease, and human-to-human transmission is also possible in contact with infectious blood. Common clinical manifestations include fever, thrombocytopenia, and leukopenia as initial symptoms, and multiple organ dysfunction and failure manifest with disease progression. Whereas disease mortality is reported to be 12% to 30% in China, a recent report of cumulative SFTS cases indicated 47% in Korea. Risk factors associated with SFTS were age, presence of neurologic disturbance, serum enzyme levels, and elevated concentrations of certain cytokines. Diagnosis of SFTS is based on viral isolation, viral identification by polymerase chain reaction, and serologic identification of specific immunoglobulin G. Therapeutic guideline has not been formulated, but conservative management is the mainstream of treatment to prevent disease progression and fatal complications.

Citations

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The first discovery of severe fever with thrombocytopenia syndrome virus in Taiwan
Tsai-Lu Lin, Shan-Chia Ou, Ken Maeda, Hiroshi Shimoda, Jacky Peng-Wen Chan, Wu-Chun Tu, Wei-Li Hsu, Chi-Chung Chou
Emerging Microbes & Infections.2020; 9(1): 148. CrossRef
Epidemiology of severe fever and thrombocytopenia syndrome virus infection and the need for therapeutics for the prevention
Norbert John C. Robles, Hae Jung Han, Su-Jin Park, Young Ki Choi
Clinical and Experimental Vaccine Research.2018; 7(1): 43. CrossRef
Two Treatment Cases of Severe Fever and Thrombocytopenia Syndrome with Oral Ribavirin and Plasma Exchange
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Infection & Chemotherapy.2017; 49(1): 72. CrossRef

The Subspecialty Certification for Critical Care Medicine in Korea: Dong Chan Kim; Korean J Crit Care Med. 2009;24(3):117-123.; DOI: https://doi.org/10.4266/kjccm.2009.24.3.117

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Abstract PDF

The Korean Society of Critical Care Medicine (KSCCM) has introduced the Subspecialty System for Critical Care Medicine in Korea under the auspices of the Korean Academy of Medical Sciences (KAMS) in March 2008. Nine medical societies that included the Korean Association of Internal Medicine, the Korean Academy of Tuberculosis and Respiratory Diseases, the Korean Society of Anesthesiology, the Korean Neurological Association, the Korean Neurosurgical Society, the Korean Surgical Society, the Korean Society of Emergency Medicine, the Korean Society for Thoracic and Cardiovascular Surgery and the Korean Pediatric Society participated to the new critical care subspecialty. The Board of Critical Care should be certified again every 5 year after achieving the required qualification by the KSCCM. This paper summarizes the Subspecialty Certification System for Critical Care Medicine in Korea.

Citations

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Impact of staffing model conversion from a mandatory critical care consultation model to a closed unit model in the medical intensive care unit
Sung Jun Ko, Jaeyoung Cho, Sun Mi Choi, Young Sik Park, Chang-Hoon Lee, Chul-Gyu Yoo, Jinwoo Lee, Sang-Min Lee, Robert Jeenchen Chen
PLOS ONE.2021; 16(10): e0259092. CrossRef

Original Articles

Analysis of Cases Requested to the Ethics Committee of an University Hospital for the Discontinuation of Therapy: Jeong Min Kang, Younsuck Koh; Korean J Crit Care Med. 2005;20(1):68-75.

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Abstract PDF: BACKGROUND
A hospital ethics committee (HEC) handles ethics problems in a hospital and mediates conflicts between patients and caregivers. The role of HEC on treatment withdrawal has increased after Boramae-hospital's case on 1997 in Korea. This study is an analysis of cases referred to the HEC of Asan Medical Center for the discontinuation of patient therapy. METHODS: The conference records of the HEC from January 1998 to December 2003 and the relevant patient charts were reviewed retrospectively. RESULTS: Twenty-seven cases related to treatment withdrawal were referred to the HEC during the study period. Based on the number of admitted ICU patients during the study period, the case request rate was 0.05%. The bimodal distribution of the cases in terms of age was neonate, 13 (48%); infant, 6 (22%); adult, 8 (30%). The major causes of treatment withdrawal were futile management, financial difficulty and patient suffering. The HEC recommended the continuation of treatment in 7 cases (25.9%); treatment withdrawal in 11 (40.7%); treatment withholding in 8 (29.6%); transfer to another hospital in one case (3.8%). Of the seven recommendations for treatment continuation, only three were accepted by their families. These three patients were eventually discharged alive. Treatment was withdrawn within one week in all eleven cases recommended for that by the HEC. Treatment was withheld in seven of those eight such recommended cases. CONCLUSIONS: The case referral rate was low in the studied hospital. In all cases, the patients' families requested the case to the HEC. Although the committee's recommendations to withhold or withdraw the treatment were followed by the families, the recommendation to continue therapy was often refused.

The Distribution of Medical Personnel and Medical Equipments in the Intensive Care Units in Korea: Shin Ok Koh, Pyung Hwan Park, Myoung Hoon Kong, Yong Lak Kim; Korean J Crit Care Med. 2001;16(2):138-143.

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Abstract PDF: BACKGROUND
Not much of the fund is invested in the intensive care unit (ICU) in Korean hospitals since the cost of ICU care is set too low compared to the other medical fields as well as to the other part of the world. This study is designed to support the base of an ICU standard guideline in Korea.
METHODS
The questionnaire were sent to 73 ICUs and 24 neonatal ICUs (NICU) of 30 hospitals. Twenty-two of them were teaching hospitals and 8 of them were general hospitals.
RESULTS
The ratios of ICU bed number to total bed number were 5.0% and 6.0% in teaching hospital and general hospital respectively. The ratios of NICU bed to total bed were 3.4% and 2.0% in teaching hospital and general hospital respectively. Intensivists were kept in 24.6% of ICU and 36.4% of NICU. Residents were kept in 43.1% of ICU and 45.5% of NICU. The utilization of ICU service was 90% for teaching hospital and 86% for general hospital. The utilization of NICU was 89% for teaching hospital and 3% of general hospital. Nurse to patient ratios varied widely. Most ICUs in teaching hospital showed the nurse to patients ratio of 1 : 4 which was about 32% of total ICU. Most NICUs in teaching hospital showed the nurse to patients ratio of 1 : 5 which was around 20% of total NICU. Most of the ICUs were equipped with central piping system for oxygen and compressed air supply, vacuum system and all the necessary medical gadgets such as mechanical ventilators, ECG monitors, defibrillators, pulse oximeters and infusion pumps.
CONCLUSIONS
The distribution of medical personnel as well as medical equipments were varied widely. The variation existed between teaching hospital and general hospital as well as within the teaching hospitals. We need to establish a standard, which grades the level of ICU according to the number of keeping physician, nurse-patients ratio, and the types of medical equipments they have.

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