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Status of patient after receiving treatment using multinomial logistic regression at intensive care unit in Johor

Rusiman, Mohd Saifullah and Shafi, Muhammad Ammar (2015) Status of patient after receiving treatment using multinomial logistic regression at intensive care unit in Johor. Australian Journal of Basic and Applied Sciences, 9 (8). pp. 29-34. ISSN 19918178

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Abstract

Background: ICU in terms of Intensive Care Unit (ICU) was established in Malaysia since 1968. The number of patients receiving treatment at ICU had been increased day by days until now. Rapid development of medical and surgical subspecialties in the last decade resulted in increasing demands for more ICU beds and provides momentum for its development. Objective: This study aims to identify the determinants of patient status (alive, died, discharge with grave prognosis or transfer to another hospital) after receiving treatment in ICU using multinomial logistic regression. Results: Secondary data of 1314 patients who received ICU treatment recorded by nurses and doctors using cluster sampling was used. Based on the results of the multinomial logistic regression, this study discovered that patient 19s age, category of patients, score of SAPS II admission, days in ICU and score of SAPS II discharge are the factors contributing patients to die after receiving treatment in ICU. Odds ratio are calculated among the status patients. Conclusion: The age, category of patients, score of SAPS II admission and score of SAPS II discharge is the four significant variables that influence the status of patients who alive. The patients who are discharged with grave prognosis are influenced by age, days in ICU and score of SAPS II discharge whereas the patients who are transferred to another hospital are influenced only by score of SAPS II discharge.

Item Type: Article
Uncontrolled Keywords: Intensive care unit; multinomial logistic regression; significant variable; odds ratio
Subjects: Q Science > QA Mathematics > QA273 Probabilities. Mathematical statistics
Divisions: Faculty of Applied Science and Technology > Department of Mathematics and Statistic
Depositing User: Mr. Mohammad Shaifulrip Ithnin
Date Deposited: 26 Nov 2017 10:29
Last Modified: 26 Nov 2017 10:29
URI: http://eprints.uthm.edu.my/id/eprint/9526
Statistic Details: View Download Statistic

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