Impact of the First and Second Wave of the SARS-CoV-2 Pandemic on Severe Trauma and the Care Structures in the German TraumaNetzwerk DGU ® .
Christian ColcucSebastian FischerPhilipp LeimkühlerMarco MiersbachRolf LeferingTraumaRegister DguThomas VordemvenneThomas VordemvenneNiklas GrünewellerPublished in: Journal of clinical medicine (2022)
(1) Background: The aim of this study was to investigate the effects of the pandemic on transfer rates of severely injured patients within the German TraumaNetzwerk of the DGU. Furthermore, cause of accident, rescue times, and trauma cases are compared to pre-pandemic times. (2) Methods: For this investigation patients documented in the TraumaRegister DGU ® from 2018 to 2020 were analyzed. The years 2018 and 2019 served as a comparison to 2020, the first COVID-19 pandemic year. All primary admissions and transfers were included if treated on an intensive care unit. (3) Results: Demographics (age, sex) and injury severity in 2020 were comparable with 2018/2019. In 2020, a significant decrease (3.7%) in car accidents was found. In contrast, a significant increase (3.2%) in bicycle accidents was seen. During the second wave, there was a significant burden of COVID-19 patients on hospitals. In this time, we found a significant increase in early transfers of trauma patients primarily from small level 3 to large level 1 centers. There was also a small but significant increase in rescue time, especially during the 2nd wave. (4) Conclusions: Our data confirm the importance of the network structures established in the TraumaNetzwerk DGU ® , especially during the pandemic. The established structures allow smaller hospitals to spread their resources and prevent internal collapse. Therefore, the structures of the TraumaNetzwerk DGU ® play a prominent role in stabilizing the healthcare system by helping to maintain both surgical and critical care capacity and providing adequate emergency care.
Keyphrases
- sars cov
- coronavirus disease
- healthcare
- end stage renal disease
- trauma patients
- intensive care unit
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- prognostic factors
- emergency department
- palliative care
- peritoneal dialysis
- magnetic resonance imaging
- machine learning
- quality improvement
- early onset
- patient reported outcomes
- computed tomography
- mass spectrometry
- risk factors
- chronic pain
- acute respiratory distress syndrome
- contrast enhanced