Automated Screening for Clinically Ascertained Loss of Cerebral Functions

Rationale: The low organ donation rate in Germany is associated with the inadequate identification of patients at risk of developing irreversible loss of brain function (ILBF; i.e. brain death). An automated digital screening tool, DETECT (AutomateD ScrEening for Clinically AscerTainEd Loss of Cerebral FuncTions in Patients with Severe Brain Damage), has been developed to prospectively identify intensive care patients who are at risk of developing ILBF. Objective: The objective of the study is to evaluate the effectiveness of an automated digital screening tool in the identification of patients with severe brain damage who are at risk of impending ILBF compared to standard practice without digital support. Study design: Stepped-Wedge, multicenter, cluster-randomized, controlled trial Study population: The study includes patients aged 18 years or older with primary and/or secondary acute brain damage, requiring mechanical ventilation, and who are deceased upon hospital discharge. Intervention: DETECT periodically processes real-time data from the corresponding electronic medical record system to screen for a combination of coma, indicated by a Richmond Agitation Sedation Scale (RASS) score of - 4 or - 5 or Glasgow Coma Scale (GCS) score of 6-3, along with manually assessed absence of bilateral pupillary light reflexes. Both findings are considered early indicators of impending ILBF. In case of positive screening results, an automated notification will be sent via the hospital's email server to the corresponding transplant coordinators and intensivists. The email sent aims to prompt clinical assessment of the reported patient and, if necessary, initiate a guideline-based ILBF examination. Primary study endpoint: The primary endpoint is the identification of patients who eventually develop ILBF during hospitalization. Secondary study endpoints: Secondary outcomes encompass the missed identification of potential ILBF cases (as retrospectively classified) and the r