Lithuanian hospitals perform about 2000 brain surgeries annually. Treatment costs of neurosurgical patients are 3000 – 6000 EUR per patient. The guidelines for subarachnoid haemorrhage (SAH) and traumatic brain injury (TBI) treatment provide only general recommendations and are not precise for an individual patient. The treatment of these patients remains the most difficult clinical procedure, while mortality of these patients is ~ 20 – 30%.
Optimal cerebral perfusion pressure (optCPP) management concept to personalize treatment of SAH/TBI patients was analysed in some pilot studies. But existing technologies for optCPP diagnosis and monitoring needs about 4 hours of averaging of patients’ physiological monitoring data. Critical pathophysiological events in the injured brain happen in minutes, not in hours. Novel technological solutions for much faster optCPP identification are needed.
Objective is to develop our innovative technology and to perform first prospective clinical study of our novel patentable method and device for generation of fast changes in arterial blood pressure (ABP) in order to identify optCPP not in hours but in a few minutes. This device provides abilities to identify patient specific optCPP value in the appropriate time limit and to personalize treatment without delay. Timely identification of optCPP value and a reliable cerebrovascular autoregulation (CA) diagnosis will be performed according to the measured reaction of cerebral hemodynamics during the automatically induced ABP(t) changes.
The clinical study will be performed at Vilnius University Hospital Santaros Klinikos on patients who underwent brain surgeries (hematoma evacuation, aneurysm clipping). The methodology of timely optCPP and CA identification will be applied by using our prototype of automatic ABP changes induction. We believe that the project results will allow us to get new knowledge and to add the value for better treatment outcomes of neurosurgical patients.
Project funding:
Projects funded by the Research Council of Lithuania (RCL), Projects carried out by researchers’ teams
Period of project implementation: 2020-05-01 - 2022-12-31
Project coordinator: Kaunas University of Technology
