Save
CAN FOUR SCORE PREDICT MORTALITY AND ICU LENGTH OF STAY IN CRITICALLY ILL PEDIATRICS?
ESRA Academy. Hosseini M. Sep 8, 2016; 138271; 0094 Topic: Outcome
Mr. Mohammad Hosseini
Mr. Mohammad Hosseini

Access to Premium content is currently a membership benefit.


Click here to join ESRA or renew your membership.

Abstract
Discussion Forum (0)
Rate & Comment (0)
Background and Aims:

The FOUR score is a new coma scale developed addressing the limitations of the GCS. The aim of this prospective cohort study was to evaluate the performance of the FOUR score in predicting mortality and ICU length of stay in pediatrics admitted to medical ICU.

Methods:

This was an observational and prospective study of 24 consecutive patients admitted in the medical ICU during six month period. Demographic information recorded on a checklist, also information about Severity of disease Calculated based on FOUR score in the first admission 24 hours. Statistical analysis used: Logistic regression, Hosmer-Lemeshow test and receiver operating characteristic (ROC) curves were used in statistical analysis (95% confidence interval).  

 

Results:

Data analysis showed a significant statistical difference between outcomes and FOUR score (p<0/001) and FOUR score and ICU-LOS (p=0/04). The ROC-curve analysis suggested that the predictive ability of FOUR score is good. The area under the ROC curve was 86.2% (standard error [SE] 3.6%), and the Hosmer-Lemeshow statistic revealed that calibration for FOUR score (χ2 = 5.331, P = 0.531) is good too. Also Non survivors had higher FOUR scores than survivors (p<0/001).

Conclusions:

The FOUR score was a reliable tool in predicting outcomes and ICU-LOS in pediatrics who was admitted in medical ICU.

Code of conduct/disclaimer available in General Terms & Conditions
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.


Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.



Google Analytics is used for user behavior tracking/reporting. Google Analytics works in parallel and independently from MLG’s features. Google Analytics relies on cookies and these cookies can be used by Google to track users across different platforms/services.


Save Settings