Neurologic Deterioration Secondary to Unrecognized Spinal Instability Following Trauma–A Multicenter Study
Bibliographic record
Abstract
In Brief Study Design. A retrospective study was undertaken that evaluated the medical records and imaging studies of a subset of patients with spinal injury from large level I trauma centers. Objective. To characterize patients with spinal injuries who had neurologic deterioration due to unrecognized instability. Summary of Background Data. Controversy exists regarding the most appropriate imaging studies required to “clear” the spine in patients suspected of having a spinal column injury. Although most bony and/or ligamentous spine injuries are detected early, an occasional patient has an occult injury, which is not detected, and a potentially straightforward problem becomes a neurologic catastrophe. Methods. The study was designed as a retrospective review of patients who had neurologic deterioration as a direct result of an unrecognized fracture, subluxation, or soft tissue injury of the cervical, thoracic, or lumbar spine from 8 level I trauma centers. Demographics, injury information, and neurologic outcome were collected. The etiology and incidence of the missed injury were determined. Results. A total of 24 patients were identified who were treated or referred to 1 of the participating trauma centers and had an adverse neurologic outcome as a result of the missed injury. The average age of the patientswas 50 years (range 18–92), and average delay in diagnosis was 19.8 days. Radiculopathy developed in 5 patients, 16 had spinal cord injuries, and 3 patients died as a result oftheir neurologic injury. The most common reason for the missed injury was insufficient imaging studies (58.3%), while only 33.3% were a result of misread radiographs or 8.3% poor quality radiographs. The incidence of missed injuries resulting in neurologic injury in patients with spine fractures or strains was 0.21%, and the incidence as a percentage of all trauma patients evaluated was 0.025%. Conclusions. This multicenter study establishes that missed spinal injuries resulting in a neurologic deficit continue to occur in major trauma centers despite the presence of experienced personnel and sophisticated imaging techniques. Older age, high impact accidents, and patients with insufficient imaging are at highest risk. A total of 24 cases of delayed neurologic deterioration or death from a missed spinal injury after trauma was collected from 8 level I trauma centers. The most common reason for the missed injuries was insufficient imaging studies (n = 14), with misread radiographs (n = 8) and poor quality imaging studies (n = 2) accounting from the remainder of the cases. Although the incidence of such cases is relatively low, observance of published guidelines will minimize the risk of such occurrences.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".