Fondazione Salvatore Maugeri Clinica del Lavoro e della Riabil

Acquired brain injury (ABI) is the leading cause of death and disability worldwide. The degree of severity varies according to a combination of numerous demographics, etiological, clinical, cognitive, behavioral, psychosocial and environmental factors, which can interfere with the effectiveness of rehabilitation interventions and, therefore, with the final outcome.
The most important goal of the modern clinic is to predict in time the progression of possible recovery after the brain injury event in order to provide more effective treatment, but the high heterogeneity and clinical variability and the unpredictability of the onset of comorbidities makes this a hard target to reach.
In recent years, artificial intelligence algorithms have been applied to more precisely define the role of critical variables that can help clinical practice to predict the final outcome. The classical approach of these algorithms provides only probabilistic values on the final outcome, without considering the typology of clinical interventions and overall complications that may appear throughout the hospitalization period.
The objective of this multicentric study is to define a new statistical approach that can describe the dynamics of individual clinical changes occuring during the inpatient intensive rehabilitation care period. The proposed approach combines a principal component analysis (PCA) for dimension reduction (capturing the maximum amount of information and reducing the dimensionality problem) and a nonlinear mathematical modeling for describing the evolution of the clinical course in terms of the resulting new PCA dimensions. By using this approach, we may determine the individual patient's temporal trajectories while examining particular clinical factors. The secondary objective of this study is to validate a new version of the Early Rehabilitation Barthel Index (ERBI), a well-known clinical scale used to measure functional changes in patients with severe acquired brain injury.

The SENIOR STUDY is aimed at improving the condition of older adults and malnutrition management in and out Italian hospital settings, since malnutrition is highly prevalent, clinically relevant and potentially treatable conditions. This study consist of two phases: an initial cross-sectional phase and a secondary nutritional intervention phase (RCT).
The SENIOR RCT aim to evaluate the efficacy of a 6 months nutrition protocol intervention compared to hospital standard care on malnourished older adults. Physical and nutritional status will be evaluated through anthropometric measures, blood exams and physical performance. In addition, the individual health perception will be evaluated.
It is expected to find an improvements of the physical and nutritional status.

The SENIOR STUDY is aimed at improving the condition of older adults and malnutrition management in and out Italian hospital settings, since malnutrition is highly prevalent, clinically relevant and potentially treatable condition. This study consist of two phases: an initial cross-sectional phase and a secondary nutritional intervention phase (RCT).
The SENIOR CROSS-SECTIONAL study aims to map malnutrition status in accordance with the most recent GLIM criteria and investigate the association between malnutrition and anthropometric, demographic and socioeconomic, and lifestyle factors. In addition, sarcopenia will be diagnosed (EWGSOP2 consensus criteria) and blood markers will be measured.
Malnutrition in Italian hospital setting is highly prevalent but the current malnutrition data prevalence and the general characteristics of older adults are not updated. Thus, it is expected to find a high malnutrition prevalence and an inadequate nutritional status.