Survival effect of prehospital emergency anaesthesia with intubation in risk-stratified patients with major trauma: a causal modelling study

BACKGROUND: Trauma is among the top 10 most common causes of disability worldwide, accounting for more than 100 million disability-adjusted life-years (DALYs) per year. Although the value of prompt management in severe injury is undisputed, the benefit of prehospital emergency anaesthesia with intubation remains uncertain. We aimed to estimate the causal effect of prehospital intubation on survival using doubly robust joint modelling of outcome and allocation, a task facilitated by machine learning. METHODS: For this causal modelling study we analysed the prehospital clinical characteristics of 6467 patients admitted to a UK major trauma centre for the periods Feb 23, 2012, to March 31, 2017 (n=3882), and April 1, 2017, to Nov 13, 2019 (n=2585). We built machine-learning models to predict survival and stratify patients by propensity for early anaesthesia and intubation. To estimate the causal survival effect of prehospital intubation, we used doubly robust estimation with inverse probability weighting by predicted intubation. FINDINGS: Early intubation and 30-day mortality were highly predictable from early prehospital data alone (AUCs 0·943 and 0·867, respectively). Patients who were predicted to require prehospital intubation but did not receive it showed substantially lower survival than those who were not (66·8% [95% CI 61·3-71·7] vs 93·6% [92·5-94·6], log-rank p