2296 Predicting recovery in patients with mild traumatic brain injury and a normal CT using diffusion tensor imaging

Conclusion The study included 153 patients, aged 20-70 (mean 44) years, 108 (71%) male, 70 (46%) with an incomplete recovery. The best model without DTI (UPFRONT-PLUS) explained 10% (-6-26) of the variation in outcome (ViO) with an area under the curve (AUC) of 0.57 (0.47-0.68). Adding DTI raised the ViO to 74% (66-82) and the AUC to 0.79 (0.77-0.81), p <0.001. NFL could have avoided 36% of DTI with a sensitivity of 0.81 (0.67-0.89) if sampled at initial presentation, or 24% with a sensitivity of 0.95 (0.81-0.98) if sampled at the time of DTI. This suggests that NFL and DTI could help select mild TBI patients at risk of incomplete recovery for interventional trials and clinical follow up, pending external validation and a health economics assessment. Abstract 2296 Figure 1

http://emj.bmj.com/cgi/content/short/40/12/861-b?rss=1

Source: Emergency Medicine Journal - November 28, 2023 Category: Emergency Medicine Authors: Richter, S., Winzeck, S., Czeiter, E., Kornaropoulos, E., Whitehouse, D., Wang, K., Buki, A., Maas, A., Correia, M., Menon, D., Newcombe, V. Tags: RCEM Rod Little Prize Papers Source Type: research