P.138 Corrective Adult Spinal Deformity Procedures in a community hospital: a single institution review
Bibliographic record
Abstract
Background: Adult spinal deformity (ASD) are typically managed in tertiary care centres due to their complexity in surgical planning and peri-operative care. Methods: A retrospective analysis of consecutive corrective ASD surgery performed by a single surgeon at a community based centre performed between 2012 and 2014. Inclusion criteria were age ≥ 18 years with a minimum of 1 year follow-up. We reviewed age, aetiology, mortality, medical and neurological deficit. All standard radiographic deformity parameters were also evaluated and analysed. Results: n=32 corrective spinal deformity procedures were performed. The most common aetiology was de novo degenerative scoliosis. The mean length of stay was 11.94 days. The most common levels fused from T1-pelvis (n=13). L5/S1 was the most common level requiring interbody fusion (n=17). There were n=10 who required a PSO. Only n=4 patients had EBL greater than 3500cc.There were a total of 9 medical complications with post-operative hypotension being the most common (n=3). Hardware failure across the PSO site was the most common long term complication (n=7). There were n=2 death. There were no reported deep infections requiring revisions. Radiographic parameters analysed showed significant improvement. Conclusions: ASD surgery perioperative complication rates in a community hospital are similar to those done in high volume academic centre.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.009 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".