Prospective Validation of Modified NEXUS Cervical Spine Injury Criteria in Low-risk Elderly Fall Patients
Bibliographic record
Abstract
INTRODUCTION: The National Emergency X-radiography Utilization Study (NEXUS) criteria are used extensively in emergency departments to rule out C-spine injuries (CSI) in the general population. Although the NEXUS validation set included 2,943 elderly patients, multiple case reports and the Canadian C-Spine Rules question the validity of applying NEXUS to geriatric populations. The objective of this study was to validate a modified NEXUS criteria in a low-risk elderly fall population with two changes: a modified definition for distracting injury and the definition of normal mentation. METHODS: This is a prospective, observational cohort study of geriatric fall patients who presented to a Level I trauma center and were not triaged to the trauma bay. Providers enrolled non-intoxicated patients at baseline mental status with no lateralizing neurologic deficits. They recorded midline neck tenderness, signs of trauma, and presence of other distracting injury. RESULTS: We enrolled 800 patients. One patient fall event was excluded due to duplicate enrollment, and four were lost to follow up, leaving 795 for analysis. Average age was 83.6 (range 65-101). The numbers in parenthesis after the negative predictive value represent confidence interval. There were 11 (1.4%) cervical spine injuries. One hundred seventeen patients had midline tenderness and seven of these had CSI; 366 patients had signs of trauma to the face/neck, and 10 of these patients had CSI. Using signs of trauma to the head/neck as the only distracting injury and baseline mental status as normal alertness, the modified NEXUS criteria was 100% sensitive (CI [67.9-100]) with a negative predictive value of 100 (98.7-100). CONCLUSION: Our study suggests that a modified NEXUS criteria can be safely applied to low-risk elderly falls.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| 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".