Description

The assessment of the state of consciousness (CS) after an Acquired Brain Injury (ABI) is a complex and challenging process because of the clinical complexity of patients suffering from this condition. The most widely used measure to assess disturbance of consciousness (DoC) is the Coma Recovery Scale Revised (CRS-R), which is considered the gold standard for bedside assessments. This scale, even though validated for the adult population, has been recommended also for the pediatric population, considering the absence of tools designed to address children. In 2019, to fill this gap, Slomine and collaborators developed a pediatric form of the CRS, namely the Coma Recovery Scale for Pediatrics (CRS-P), but, up to now, it has been exclusively tested in typically developing children. Another tool frequently used to assess the DoC, even in pediatric age, is the Rappaport Coma Near Coma Scale (CNCS). In a recent study of our group, a statistically significant agreement between the CRS-R and the CNCS was found; however, the CNCS was found to better define patients' status in the emergency phase from minimally conscious state, while the CRS-R demonstrated to have lower DoC scoring ability in the presence of severe motor impairment. These results suggest new challenges for the diagnostic process, considering that the risk of misdiagnosis is still high.

The present study aims to investigate the clinical evolution of children with severe ABI and DoC both by using the traditional behavioral scales, namely the CRS-R, CRS-P and CNCS, and by trying to establish whether it is possible to identify any clinical markers of Emergency (E-Markers). E-Markers are behaviors that indicate a content of consciousness irrespective of the processes investigated by behavioral scales, thus they could be combined with the items of these scales to improve the diagnosis.

A particular focus will be given to the identification of specific E-Markers for children aged less than 12 months, for which the CRS-P scale cannot be used. In this case, the E-markers will be compared with the specific developmental stages of newborns, giving great importance to motor abilities; for this subgroup of children a small sample size is expected, which could not allow obtaining precise statistical data; however, results could lead to draw some relevant preliminary considerations.

For the whole sample, the effects of the various clinical, demographic and personal variables will be evaluated on functional outcome, intended as level of consciousness, disability degree and recovery level. Data based on neurophysiological and/or neuroimaging data will also be considered.

The investigators hypothesize that E-Markers may help clinicians to evaluate patients' clinical evolution earlier than behavioral scales.