Objective Assessing the severity of injury and predicting outcomes are essential in traumatic brain injury (TBI). However, the respiratory rate and Glasgow Coma Scale (GCS) of the Revised Trauma Score (RTS) are difficult to use in the prehospital setting. This investigation aimed to develop a new prehospital trauma score for TBI (NTS-TBI) to predict mortality and disability.
Methods We used a nationwide trauma database on severe trauma cases transported by fire departments across Korea in 2013 and 2015. NTS-TBI model 1 used systolic blood pressure <90 mmHg, peripheral capillary oxygen saturation <90% measured via pulse oximeter, and motor component of GCS. Model 2 comprised variables of model 1 and age >65 years. We assessed discriminative power via area under the curve (AUC) value for in-hospital mortality and disability defined according to the Glasgow Outcome Scale with scores of 2 or 3. We then compared AUC values of NTS-TBI with those of RTS.
Results In total, 3,642 patients were enrolled. AUC values of NTS-TBI models 1 and 2 for mortality were 0.833 (95% confidence interval [CI], 0.815 to 0.852) and 0.852 (95% CI, 0.835 to 0.869), respectively, while AUC values for disability were 0.772 (95% CI, 0.749 to 0.796) and 0.784 (95% CI, 0.761 to 0.807), respectively. AUC values of NTS-TBI model 2 for mortality and disability were higher than those of RTS (0.819 and 0.761, respectively) (P<0.01).
Conclusion Our NTS-TBI model using systolic blood pressure, motor component of GCS, oxygen saturation, and age was feasible for prehospital care and showed outstanding discriminative power for mortality.
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Results A total of 1,739 patients were included, and 20.3% of 867 patients in the pre-intervention period, and 28.8% of 872 patients in the post-intervention period received analgesics (P< 0.001). The prescription rate of analgesics for moderate-to-severe injuries was 36.4% in 2013 and 44.5% in 2014 (P=0.026). The time to analgesics prescription was 116.6 minutes (standard deviation 225.6) in 2013 and 64 minutes (standard deviation 75.5) in 2014 for all extremity injuries. The pain scoring increased from 1.4% to 51.6%.
Conclusion ED-based quality improvement activities including education and change of pain score documentation can improve the rate of analgesic prescription and time to prescription for patients with extremity injury in the ED.
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