Modeling Trajectories of Functional Outcome in Patients With Severe Acquired Brain Injuries Using a Non-Linear Dynamic Evolution Approach.
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 发起方
- 入组人数
- 190
- 试验地点
- 1
- 主要终点
- Glasgow Outcome Scale - Extended
研究概览
简要总结
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.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •patients with clinical diagnosis of severe acquired brain injury of different etiology (traumatic, hemorrhagic vascular,ischemic vascular, anoxic, infectious, other etiology
- •interval since the acute occurrence that led to the clinical condition of ≤3 months duration
- •age of 18 years or older
- •informed consent signed by family member/caregiver/supporting caregiver
排除标准
- •Positive remote medical history of pre-existing disabling neurological or orthopedic conditions and psychiatric disorders
结局指标
主要结局
Glasgow Outcome Scale - Extended
时间窗: The test needs approximately 5 minutes to complete.
The Glasgow Outcome Scale - Extended (GOS-E) is a widely used outcome instrument to assess disability and recovery after brain injury. There are 8 categories in the scale: 1 - Dead, 2 - Vegetative State, 3 - Low Severe Disability, 4- Upper Severe Disability, 5- Low Moderate Disability, 6- Upper Moderate Disability, 7- Low Good Recovery and 8-Upper Good Recovery. The minimum score is 1 (dead) and the maximum score is 8 (upper good recovery).
次要结局
- Early Rehabilition Barthel Index(The test needs approximately 20 minutes to complete.)
研究者
Antonio Cerasa
PhD, Head of Unit
Istituto per la Ricerca e l'Innovazione Biomedica
