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Korean J Crit Care Med > Volume 27(4); 2012 > Article
Korean Journal of Critical Care Medicine 2012;27(4): 237-248. doi: https://doi.org/10.4266/kjccm.2012.27.4.237
응급센터를 통하여 중환자실에 입원하는 환자들의 시기별 예후 예측 인자 분석: 초기(응급센터)와 후기(중환자실) 예후 예측 인자
정루비ㆍ안정환*ㆍ전현민ㆍ정성민ㆍ신태용ㆍ김영식ㆍ하영록
분당제생병원 응급의학과, *한림대학교 강동성심병원 응급의학과
Analysis of Prognostic Factors Early in Emergency Department (ED) and Late in Intensive Care Unit (ICU) of the Critically Ill Patients Admitted in the ICU via ED
Ru Bi Jeong, Jung Hwan An, Hyun Min Jun, Sung Min Jeong, Tae Yong Shin, Young Sik Kim, Young Rock Ha
1Department of Emergency Medicine, Bundang Jesaeng General Hospital, Seongnam, Korea. rocky66@dmc.or.kr
2Department of Emergency Medicine, Hallym University Hospital, Seoul, Korea.
ABSTRACT
BACKGROUND: Many critically ill patients in the ED are hospitalized to the ICU, but most prognosis predicting systems have been developed based on the physiochemical variables of the critically ill in the ICU. The objective of this study is to identify prognostic predictors early in the ED when compared with well-known predictors in the ICU and estimate their predictive abilities. METHODS: An observational prospective study was performed in an urban ED. Information of all the critically ill patients admitted to the ICU via the ED including vital signs, laboratory results, and physiochemical scoring systems were checked during 6 months and divided into the early stage for the ED and the late stage in the ICU. Poor outcome was defined as 28-days mortality. After checking for significant predictors among them through univariate analysis, we identified the most discriminating predictors in each stage using logistic regression and a decision tree analysis. RESULTS: A total of 246 patients were enrolled. In univariate analysis, the significant predictors including central venous pressure, fraction of inspired oxygen (FiO2), pressure of arterial oxygen/fraction of inspired oxygen (PaO2/FiO2), albumin, mortality in emergency department sepsis, acute physiology and chronic health evaluation II, simplified acute physiology score II, and sequential organ failure assessment scores were identified in the early stage, while PaO2/FiO2, base excess, unmeasured anion, albumin, anion gap, albumin-corrected anion gap, APACHEII, SAPSII, SOFA, and rapid emergency medicine score were identified in the late stage. Through a decision tree analysis, PaO2/FiO2 and SAPSII were revealed as the most discriminating predictors in the ED and ICU, respectively. CONCLUSIONS: The prognosis discriminating predictor in critical patients was different between the ED and ICU. Emergency physicians should pay more attention to the critical patients having low PaO2/FiO2.
Key Words: critically ill; emergency department; intensive care unit; prognostic predictor
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