Efficiency of SOFA scoring system on predicting mortality rate and stay length in intensive care unit for patients of Al-Zahra hospital of Isfahan
Medical - Surgical Nursing Journal: February 28, 2013, 1 (2); e87468
July 31, 2013
Article Type: Abstract
December 12, 2018
April 13, 2013
M. Efficiency of SOFA scoring system on predicting mortality rate and stay length in intensive care unit for patients of Al-Zahra hospital of Isfahan,
Med Surg Nurs J.
Background and Objective: ICU patients are needy to medical and nursing services. According to Global estimates, the mortality rate is high in these wards because of deterioration of the patient and the severity of the disease. So the grading systems are designed to predict recovery, mortality rate and classifying of these patients. The SOFA scoring system is one of these scoring systems. So, this study was conducted to determine the efficiency of SOFA scoring system in predicting of mortality rate and stay length in intensive care unit for patients of alzahra hospital in Isfahan. Materials and Method: This descriptive study was conducted on 107 patients in intensive care unit of Al-Zahra Hospital in 2012 during a 4-month period through convenience sampling. The instruments for data gathering consisted of demographic information form and SOFA check list. For data analysis independent t-test and Pearson correlation were used. Results: The findings showed that there is significant difference between SOFA score at the beginning of admission and death of patient and between the SOFA score on the following days and mortality rate (P<0.0001). But mortality rate in the beginning of admission was more significant than other days. There is significant relationship between sofa score in beginning of admission and stay lenght (P=0.07), but there is no significant relationship between SOFA score on the days after admission and length of stay (P=0.14). Conclusion: The result of current study showed that SOFA scoring system is appropriate instrument to predicting mortality rate and stay length of patients in intensive care unit.
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