Abstract
Background
We aimed to study the value of new physiological variables compared with ISS and GCS as predictors for trauma mortality in a high-income developing country having a young population.
Methods
Data of 1008 consecutive trauma patients who were included in Al-Ain City Road Traffic Collision Registry were analyzed. Demography of patients, systolic blood pressure, heart rate, shock index, shock index age (SIA), blood pressure age index (BPAI), Glasgow Coma Scale (GCS), injury severity score (ISS), and in-hospital mortality were analyzed. Univariate analysis was used to compare those who died with those who survived. Significant factors were then entered into a backward logistic regression model to define factors predicting mortality.
Results
80.3% of the patients were males. The median (range) age of patients was 26 (1–78) years. Significant factors that predicted mortality were GCS (p < 0.0001), SIA (p = 0.003), ISS (p = 0.007), and BPAI (p = 0.022).
Conclusions
The physiological variables including GCS and shock index age were better predictors for trauma mortality comparted with ISS in our young population. A large global multi-centric study could possibly define an accurate global formula that uses both anatomical and physiological variables for predicting trauma mortality.
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Abbreviations
- BPAI:
-
Blood pressure age index
- MP:
-
Minute pulse
- MSI:
-
Modified shock index
- PMI:
-
Pulse maximum index
- ROPE:
-
Rate over pulse pressure evaluation index
- SI:
-
Shock index
- SIA:
-
Shock index age
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Conflict of interest
Arif Alper Cevik and Fikri Abu-Zidan declare that they have no conflict of interest.
Research involving human participants
Data collection of the registry was approved by the Local Ethics Committee of the Health District of Al-Ain city and met the standards outlined in the Declaration of Helsinki.
Informed consent
All patients or their caregivers signed a consent form giving permission to use their anonymous data for research.
Funding
This study was supported by an Interdisciplinary UAE University Grant (no. 02-07-8-1/4).
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Cevik, A.A., Abu-Zidan, F.M. Searching for mortality predictors in trauma patients: a challenging task. Eur J Trauma Emerg Surg 44, 561–565 (2018). https://doi.org/10.1007/s00068-017-0830-6
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DOI: https://doi.org/10.1007/s00068-017-0830-6