Sonstige
Filtern
Dokumenttyp
- Konferenzveröffentlichung (3) (entfernen)
Sprache
- Englisch (3) (entfernen)
Schlagworte
- Medizinische Untersuchung (3) (entfernen)
Institut
In line with the new definition introduced by the European Commission (EC), the number of seriously injured road casualties in Germany for 2014 is assessed in this study. The number of MAIS3+ casualties is estimated by two different methodological approaches. The first approach is based on data from the German Inâ€Depth Accident Study (GIDAS), which is closely related to the German Road Traffic Accident Statistics. The second approach is based on data from the German TraumaRegister DGU-® (TRâ€DGU), which includes many more hospitals but not all MAIS3+ injuries.
Introduction: The incidence of trauma-related cervical-spine fractures is 19-88 / 100.000. In contrast, the incidence of cervical spine injuries is as high as 19% - 51% of all spinal trauma. Cervical spine injuries in non-polytrauma patients are rare. However, due to the potential damage to the spinal cord these traumata are feared and mustn't be missed. Cervical spine injuries represent the highest reported early mortality rate of all spinal trauma. The rate of functional impairment afterwards is high and the rate of reintegration into work is low compared to other organ systems. In the past, trauma surgeons often did x-rays of the cervical spine with low inhibition threshold and often without strong clinical suggestion for vertebral or discoligamental injuries. This practice was queried by the Canadian C-Spine rule and extensively discussed in the past. Therefore we did a retrospective study whether non-polytrauma patients benefit from cervical spine x-rays.
In Germany averagely two million traffic accidents happen each year and emergency medical services are called to more than 400 000 patients. Even though this number is decreasing continuously (due to improvements in the fields of vehicle safety, road construction, and accident prevention) every case is yet a challenge for the rescuers and requires improvements in emergency medicine as well. Especially during diagnostics right at the accident scene, there are only limited instruments available to gain the necessary knowledge of the injuries suffered, to come to essential decisions about treatment or transport. To provide an additional diagnostic aid by scouting and estimating the situation, a software-tool calculating the likeliness of the most frequent severe injuries (AIS 3-6) of front occupants in passenger cars has been developed to deliver this necessary information about particular accident scenarios. To achieve this, logistic likelihood functions have been calculated in a multivariate regression analysis analysing all AIS 3+ injuries in the GIDAS database of the years 1999-2006 that happened more than four times