Clinical and rehabilitative considerations in a complex case of spastic tetraplegia, mixed aphasia, secondary encephalopathy – post severe traumatic brain injury with hemorrhagic and is-chemic lesions – with favorable late evolution and post-symptomatic status after SARS-COV-2 infection
Bibliographic record
Abstract
The traumatic brain injury remains a current research topic considering the severity and the in-creased incidence of this pathology. Both physical and neuro-psychological sequelae require a complex rehabilitation program. Material and methods. We describe the evolution of a 20-year-old case, victim of a severe traumatic brain injury due to physical aggression, with spastic te-traplegia, extended ischemia in the left cerebral hemisphere, mixed aphasia, post-traumatic en-cephalopathy, left eyelid ptosis, right paresis of nerve III, post remitted status of left subdural hematoma, post remitted status of right fronto-parietal subarachnoid hemorrhage, severe joint stiffness (right elbow and fist, bilateral hips and knees), cachexia and SARS-COV-2 infection. In our clinic the patient followed medical, complex kinetotherapeutic treatments and was functio-nally assessed using the following scales: modified Ashworth, Penn Spasm Frequency Scale ( Penn), Life Quality Assessment ( QOL ), Montreal Cognitive Assessment ( MoCA ), FAC Interna-tional Scale, Glasgow Outcome Scale-Extended (GOS-E), modified Rankin scale (mRS ). Results. During the hospitalization, the patient presented a favorable late evolution with a great impro-vement of motor and neurological deficit, aphasia in remision, improvement of eyelid ptosis and joint stiffness, fact also confirmed by the increasing scores from the evaluated scales. Con-clusions. Consequently in traumatic brain injury the proper medication, personalized rehabilita-tion program, ergotherapy, speech therapy, a great deal of involvement and documentation of current information is required to improve the patient's quality of life. Keywords: traumatic brain injury, neuro-rehabilitation program, spastic tetraplegia
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".