The Impact of Interhospital Transfer on the Extent of Neurological Recovery in Acute Traumatic Spinal Cord Injury: Analysis of a Prospective Multicenter Data Set in 970 Cases
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVES: Interhospital transfer from community hospitals to centers specialized in managing traumatically injured individuals can strain patients, healthcare systems, and delay appropriate care. The purpose was to compare long-term neurological outcomes in transferred or directly admitted patients with traumatic spinal cord injury (SCI). METHODS: An ambispective cohort study was conducted using prospectively collected data (between 2005 and 2018) from 11 specialized level 1 trauma centers across the United States and Canada. All patients who underwent surgical management for SCI were included and placed into 2 comparison cohorts: (1) direct admission and (2) transfer from intermediate hospital. Outcomes were change in American Spinal Injury Association Impairment Scale grade and its components: upper-extremity motor, lower-extremity motor, pinprick, and light touch scores from baseline (assessed ≤72 hours after injury) to follow-up (12-52 weeks). Nearest-neighbor 1:1 propensity score matching between the transferred and directly admitted cohorts was performed. Paired analysis using McNemar's test and paired Student's t -test was used to determine the extent of the difference in neurological outcomes. RESULTS: Nine hundred seventy patients (55.5% male, 55.2 ± 18.9 years) with traumatic SCI were directly admitted to a specialized trauma center (N = 474, 48.9%) or transferred from an intermediate hospital (N = 496, 51.1%). After propensity score matching, 283 pairs were matched. Compared with a matched cohort of transferred patients, American Spinal Injury Association Impairment Scale grade improved more in directly admitted patients (56.2% vs 46.3%, P = .024), as did upper-extremity motor score (13.7 ± 12.8 vs 10.4 ± 11.5, P = .018) and light touch score (22.0 ± 29.7 vs 16.9 ± 26.6, P = .034). CONCLUSION: Patients with SCI directly admitted to specialized trauma centers have greater neurological recovery compared with patients transferred from an intermediate hospital. Feasibility of direct admission to a center specialized in the management of acute SCI through implementation of a standardized code program must be further investigated. LEVEL OF EVIDENCE: Therapeutic level II.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".