
ongoing
Under the lead of the BG Klinik Tübingen, the BG Kliniken group of hospitals is conducting a multicenter translational study that aims to identify individual risk profiles of injured persons for the development of complications, based on clinical, sociodemographic, laboratory, and molecular parameters. Artificial intelligence and machine learning methods will also be employed for data modeling. A primary goal is to develop an early warning system to avoid complications or minimize their consequences through stratified interventions.
Injured individuals of any gender, of working age between 18 and 67 years, who have suffered a fracture of a long bone will be enrolled. Blood collected initially is prepared for frozen storage and later analysis of candidate markers. During inpatient treatment and planned follow-up examinations, injury and clinical characteristics, underlying diseases, addictive behavior, nutritional status, therapeutic interventions, and other information are electronically documented longitudinally, supplemented by questionnaires on health-related quality of life. These details are merged in a central platform and data hub, in strict compliance with European General Data Protection Regulations, to derive risk clusters and establish primary and secondary prevention strategies.
-cross sectoral-
Type of hazard:-various
Catchwords:rehabilitation
Description, key words:trauma, laboratory markers