ArticleFrontiers in human neuroscience2020
The Impact of Medical Complications in Predicting the Rehabilitation Outcome of Patients With Disorders of Consciousness After Severe Traumatic Brain Injury.
Article in Frontiers in human neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Medical complications in patients with severe traumatic brain injury during inpatient rehabilitation: a retrospective study.Trauma surgery & acute care open · 2026Article
- Chest physiotherapy protocol based on ultrasonic signs and its preliminary clinical application in patients with severe traumatic brain injury.Frontiers in neurology · 2026Article
- Genetics and Traumatic Brain Injury: Findings from an Exome-Based Study of a 50-Patient Case Series.Current issues in molecular biology · 2024Article
- Article
- The structure of the Early Rehabilitation Barthel Index (ERBI) should be modified: evidence from a Rasch analysis study.European journal of physical and rehabilitation medicine · 2023Article
- Long-Term Outcomes in Severe Traumatic Brain Injury and Associated Factors: A Prospective Cohort Study.Journal of clinical medicine · 2022Article
- Predicting Outcome in Patients with Brain Injury: Differences between Machine Learning versus Conventional Statistics.Biomedicines · 2022Review
- Predicting outcome of patients with prolonged disorders of consciousness using machine learning models based on medical complexity.Scientific reports · 2022Article
- Long-term outcomes of post-cardiac arrest patients with severe neurological and functional impairments at hospital discharge.Resuscitation · 2022Article
- Article
- Many Faces of the Hidden Souls: Medical and Neurological Complications and Comorbidities in Disorders of Consciousness.Brain sciences · 2021Article
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we sought to assess the predictors of outcome in patients with disorders of consciousness (DOC) after severe traumatic brain injury (TBI) during neurorehabilitation stay. In total, 96 patients with DOC (vegetative state, minimally conscious state, or emergence from minimally conscious state) were enrolled (69 males; mean age 43.6 ± 20.8 years) and the improvement of the degree of disability, as assessed by the Disability Rating Scale, was considered the main outcome measure. To define the best predictor, a series of demographical and clinical factors were modeled using a twofold approach: (1) logistic regression to evaluate a possible causal effect among variables; and (2) machine learning algorithms (ML), to define the best predictive model. Univariate analysis demonstrated that disability in DOC patients statistically decreased at the discharge with respect to admission. Genitourinary was the most frequent medical complication (MC) emerging during the neurorehabilitation period. The logistic model revealed that the total amount of MCs is a risk factor for lack of functional improvement. ML discloses that the most important prognostic factors are the respiratory and hepatic complications together with the presence of the upper gastrointestinal comorbidities. Our study provides new evidence on the most adverse short-term factors predicting a functional recovery in DOC patients after severe TBI. The occurrence of medical complications during neurorehabilitation stay should be considered to avoid poor outcomes.
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