Postural neurologic deficits after decompressive craniectomy: A case series of sinking skin flap syndrome in traumatic brain injury
Bibliographic record
Abstract
BACKGROUND: Hemicraniectomy to manage raised intracranial pressure following traumatic brain injury (TBI) has improved survival but may increase the incidence of Sinking Skin Flap Syndrome (SSFS). SSFS is a clinical syndrome in which patients with craniectomy develop objective neurologic abnormalities due to the pressure of the atmosphere on the unprotected brain, often presenting with postural headaches and neurologic deficits that localize to the craniectomy site. Previously thought to be a rare complication of craniectomy after TBI, evidence suggests SSFS is under-recognized. OBJECTIVE: To describe the clinical and radiographic features leading to diagnosis and the impact of temporizing and definitive management of SSFS on outcomes in inpatients with moderate/severe TBI. METHODS: Two patients' symptoms, qualitative behaviour observation, physical and cognitive outcome measures, and neuroimaging pre- and post-temporizing measures and cranioplasty are presented. RESULTS: Both patients demonstrated partial improvements with temporizing measures and substantial improvements in functional, cognitive, physical, and rehabilitation outcomes from the cranioplasty and resolution of SSFS. CONCLUSIONS: Rehabilitation care providers are critical to the timely diagnosis and management of SSFS, including the use of temporizing measures and advocacy for definitive treatment with cranioplasty. These cases highlight the diverse clinical presentations and importance of SSFS diagnosis to improve patient outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".