• Department of General Intensive Care Unit, The First Affiliated Hospital, Dalian Medical University. Dalian,Liaoning,116011, ChinaCorresponding Author: HUANG wei, E-mail: huangwei9898@ 163. com;
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Objective  To explore the distribution characteristics and prognostic risk factors of critically ill patients who has long-term hospitalization in intensive care unit ( ICU) . Methods  A retrospective study was carried out to evaluate 119 critically ill patients from January 2003 to July 2009 by extracting data from computerized hospital information system. The patients were divided into a survival group and a non-survival group based on discharging outcomes. A binary logistic regression analysis was
introduced to investigate potential risk factors of prognosis. Results  Age, type of payment, entity of disease,and length of ICU stay were significantly different between the two groups ( P  lt; 0. 05) in independent-Samples T test. Logistic regressions indicated that age, length of ICU stay and plasma infusion were independent predictors for worse outcome. Conclusions  Age, length of ICU stay and plasma infusion may directly influence the prognosis of patients with prolonged stay in ICU. Intensive therapies should be emphasized for those patients at high risk.

Citation: HUANG Wei,ZHOU Junfeng,ZHANG Jiuzhi,WAN Xianyao.. Distribution Characteristics and Prognostic Risk Factors Analysis of Critically Ill Patients with Prolonged Stay in Intensive Care Unit. Chinese Journal of Respiratory and Critical Care Medicine, 2010, 9(2): 181-183. doi: Copy