Clinical Profiles and Predictors of Traumatic Brain Injury Mortality: A Post Hoc Analysis

Main Article Content

Xiongyuan Brian Xie
Satoshi Yoshida
Zita Man Wai Ng
Tin Jik Chris Zhou
Hiu Yin Rossetti Lam
Richard Ku
Che Young Lee
Ting Yan Karina Chung

Abstract

Introduction


Traumatic brain injury (TBI) can be life-threatening. Investigating its clinical profiles and mortality predictors is crucial for understanding the disease epidemiology, devising public health interventions, and improving patient outcomes.


 


Objective


To assess the correlation between age, sex, socioeconomic status, and the in-hospital mortality of TBI, and whether these factors are strong predictors of TBI patients’ outcomes.


 


Method


This retrospective study analyzed head trauma patients treated in the Emergency Department. A total of 140,806 cases from 2000 to 2021 were included from the Clinical Data Analysis and Reporting System (CDARS) Database using the following International Classification of Diseases, Ninth Revision (ICD9) codes: 800-804, 850-854, 873.8(4), 900(0). Patients were stratified by age, sex, and neighborhood socioeconomic status (based on their residential districts’ Social Deprivation Index [SDI]), and comparative analyses were performed using all-cause in-hospital mortality as the primary outcome measure.


 


Result


11,006 out of 140,806 TBI patients died from 2000 to 2021, yielding an all-cause mortality rate of 7.82%. Univariate analysis revealed that sex and age group were correlated with mortality rate differences. Male patients suffered higher mortality (8.15% vs 7.38%; Odd Ratio [OR]: 1.11, 95% Confidence Interval [CI]: 1.07-1.16, P < 0.0001), and so did elderly patients aged 70 years or above (14.8% vs 3.83%; OR: 4.37, 95% CI: 4.19 - 4.55, P < 0.0001).


However, the linear regression model of SDI vs mortality revealed no statistically significant correlation between neighborhood socioeconomic status and TBI mortality (R square = 0.006820; P = 0.3167).


 


Conclusion


Patients’ sex and age group were independent predictors of in-hospital mortality of TBI, with the strongest correlation observed in male patients aged ≥70. Higher neighborhood socioeconomic status, however, does not significantly protect against TBI mortality.

Article Details

How to Cite
Xie, X. B., Yoshida, S., Ng, Z. M. W., Zhou, T. J. C., Lam, H. Y. R., Ku, R., Lee, C. Y. and Chung, T. Y. K. (2023) “Clinical Profiles and Predictors of Traumatic Brain Injury Mortality: A Post Hoc Analysis ”, Journal of Asian Medical Students’ Association. Kuala Lumpur, Malaysia. Available at: https://jamsa.amsa-international.org/index.php/main/article/view/509 (Accessed: 4February2023).
Section
Scientific Papers (EAMSC 2023 Nepal)

References

None