Predicting outcomes in traumatic brain injury using the glasgow a joint modeling of longitudinal measurements and time to event
Joint Authors
Kazemnejad, Anoshirvan
Gilani, Nida
Avanji, Fatimah Sadat Izadi
Asghari Jafarabadi, Muhammad
Zayeri, Farid
Source
Iranian Red Crescent Medical Journal
Issue
Vol. 19, Issue 2 (28 Feb. 2017), pp.1-7, 7 p.
Publisher
Publication Date
2017-02-28
Country of Publication
United Arab Emirates
No. of Pages
7
Main Subjects
Abstract EN
Background: Traumatic brain injury (TBI) is an important public health problem throughout the world.
Objectives: The aim of this study was to assess repeated glasgow coma scale (GCS) scores in predicting the severity of TBI and patients’ survival.
Patients and Methods: In this longitudinal study used a total sample of 239 patients, all of whomwere hospitalized with traumatic brain injuries.
Subjects were selected by simple random sampling in intensive care unit (ICU) wards of the Shahid Beheshti hospital in Kashan, Iran between September 2008 and September 2010.
The patients’ level of consciousness was evaluated using GCS at admission, six hours after admission to the ICU, and at the time of discharge from the hospital.
A Glasgow outcome score (GOS) is used to classify the global outcomes in TBI survivors.
A joint modeling approach was utilized for data analysis using R software.
Results: The results showed that female patients had the risk of occurrence, slightly more than men, but this was not significant (HR =1.095 P = 0.757).
The mortality risk was significantly higher in older patients (HR = 1.010, P = 0.010).
In addition, the results indicated a significant increasing linear trend in GCS values over time (HR=1.78, P=0.003).
Higher age was also associated with lower GCS values over time (P < 0.001).
The severity of TBI decreases with increasing GCS values (P < 0.001).
Conclusions: By jointly modeling longitudinal data with time-to-event outcomes, our findings supported the use of the GCS scores in predicting the severity of TBI.
American Psychological Association (APA)
Gilani, Nida& Kazemnejad, Anoshirvan& Zayeri, Farid& Asghari Jafarabadi, Muhammad& Avanji, Fatimah Sadat Izadi. 2017. Predicting outcomes in traumatic brain injury using the glasgow a joint modeling of longitudinal measurements and time to event. Iranian Red Crescent Medical Journal،Vol. 19, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-791799
Modern Language Association (MLA)
Gilani, Nida…[et al.]. Predicting outcomes in traumatic brain injury using the glasgow a joint modeling of longitudinal measurements and time to event. Iranian Red Crescent Medical Journal Vol. 19, no. 2 (Feb. 2017), pp.1-7.
https://search.emarefa.net/detail/BIM-791799
American Medical Association (AMA)
Gilani, Nida& Kazemnejad, Anoshirvan& Zayeri, Farid& Asghari Jafarabadi, Muhammad& Avanji, Fatimah Sadat Izadi. Predicting outcomes in traumatic brain injury using the glasgow a joint modeling of longitudinal measurements and time to event. Iranian Red Crescent Medical Journal. 2017. Vol. 19, no. 2, pp.1-7.
https://search.emarefa.net/detail/BIM-791799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 6-7
Record ID
BIM-791799