Abstract
BackgroundMajor trauma is often life threatening and the leading cause of death in the United Kingdom (UK) for adults aged less than 45 years old. This study aimed to identify pre-hospital factors associated with patient outcomes for major trauma within one Regional Trauma Network.MethodSecondary analysis of pre-hospital audit data and patient outcome data from the Trauma Audit Research Network (TARN) was undertaken. The primary outcome used in analysis was ‘Status at Discharge’ (alive/deceased). Independent variables considered included ‘Casualty Characteristics’ such as mechanism of injury (MOI), age, and physiological measurements, as well as ‘Response Characteristics’ such as response timings and skill mix. Binary Logistic Regression analysis using the ‘forward stepwise’ method was undertaken for physiological measures taken at the scene.ResultsThe study analysed 1033 major trauma records (mean age of 38.5 years, SD 21.5, 95% CI 37–40). Adults comprised 82.6% of the sample (n = 853), whilst 12.9% of the sample were children (n = 133). Men comprised 68.5% of the sample (n = 708) in comparison to 28.8% women (n = 298).Glasgow Coma Score (GCS) (p < 0.000), Respiration Rate (p < 0.001) and Age (p < 0.000), were all significant when associated with the outcome ‘Status at Discharge’ (alive/deceased).Isolated bivariate associations provided tentative support for response characteristics such as existing dispatching practices and the value of rapid crew arrival. However, these measurements appear to be of limited utility in predictive modelling of outcomes.DiscussionThe complexity of physiological indices potentially complicate their predictive utility e.g. whilst a Systolic Blood Pressure (SBP) of < 90 mmHg serves as a trigger for bypass to a Major Trauma Centre, the utility of this observation is nullified in cases of Traumatic Brain Injury.Analysis suggested that as people age, outcomes from major trauma significantly worsened. This finding is consistent with existing research highlighting the relationship between trauma in elderly patients and poorer outcomes.ConclusionFindings lend further validity to GCS, Respiration Rate and Age as predictive triggers for transport to a Major Trauma Centre. Analysis of interactions between response times, skill mix and triage demand further exploration but tentatively support the ‘Golden Hour’ concept and suggest a potential ‘load and go and play on the way’ approach.
Highlights
Major trauma is often life threatening and the leading cause of death in the United Kingdom (UK) for adults aged less than 45 years old
The complexity of physiological indices potentially complicate their predictive utility e.g. whilst a Systolic Blood Pressure (SBP) of < 90 mmHg serves as a trigger for bypass to a Major Trauma Centre, the utility of this observation is nullified in cases of Traumatic Brain Injury
It should be noted that the inherent complexity of physiological indices potentially complicate their predictive utility e.g. whilst a Systolic Blood Pressure (SBP) of
Summary
Major trauma is often life threatening and the leading cause of death in the United Kingdom (UK) for adults aged less than 45 years old. This study aimed to identify pre-hospital factors associated with patient outcomes for major trauma within one Regional Trauma Network. In April 2012, after reports identifying the need for specialist trauma care, Regional Trauma Networks (RTN) were introduced across the UK which enabled ambulance services to bypass local emergency departments and transport severely injured patients direct to definitive care at specialist Major Trauma Centres [2, 3]. Following the introduction of the local RTN a regional pre-hospital trauma registry was created This data was combined with outcome data from the national trauma registry maintained by the Trauma Audit Research Network (TARN) [4]. Understanding the local regional major trauma epidemiology through this preliminary and exploratory study, with the intention of providing a baseline from which to evaluate future performance, would potentially identify trends and improve patient outcomes
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