Clinical, Neurophysiological, and Genetic Predictors of Recovery in Patients With Severe Acquired Brain Injuries (PRABI): A Study Protocol for a Longitudinal Observational Study

• DOI: 10.3389/fneur.2022.711312
• Publication Date: 2022-02-28T14:42:30Z
• Authors: Bahia Hakiki; Ida Donnini; Anna Maria Romoli; Francesca Draghi; Daniela Maccanti; Antonello Grippo; Maenia Scarpino; Antonio Maiorelli; Raisa Sterpu; Tiziana Atzori; Andrea Mannini; Silvia Campagnini; Silvia Bagnoli; Assunta Ingannato; Benedetta Nacmias; Francesco De Bellis; Anna Estraneo; Valentina Carli; Eugenia Pasqualone; Angela Comanducci; Jorghe Navarro; Maria Chiara Carr...; Claudio Macchi; Francesca Cecchi
• Keywords: Acquired brain injury

Due to continuous advances in intensive care technology and neurosurgical procedures, the number of survivors from severe acquired brain injuries (sABIs) has increased considerably, raising several delicate ethical issues. The heterogeneity complex nature neurological damage sABIs make detection predictive factors a better outcome very challenging. Identifying profile those patients with prospects recovery will facilitate clinical family choices allow personalize rehabilitation. This paper describes multicenter prospective study protocol, investigate outcomes baseline predictors or biomarkers functional recovery, on large Italian cohort sABI undergoing postacute rehabilitation.All diagnosis admitted four rehabilitation units (IRUs) within 4 months acute event, aged above 18, providing informed consent, be enrolled. No additional exclusion criteria considered. Measures taken at admission (T0), three (T1) 6 (T2) T0, follow-up 12 24 onset, including data, neurophysiological results, analysis neurogenetic biomarkers.Advanced machine learning algorithms cross validated achieve data-driven prediction models. To assess applicability solutions obtained, milestones compared evaluation multiprofessional, interdisciplinary team, performed 2 weeks admission.Identifying profiles favorable prognosis would customization strategies, provide accurate information caregivers and, possibly, optimize outcomes.The application validation comprehensive pool clinical, genetic, data can pave way toward implementation tools support for pathways after sABI.