Late Complications and Adverse Events in Adult Deformity Surgery: A Narrative Review of Event Types, Prevalence, and Information Gaps
Bibliographic record
Abstract
Study DesignLiterature review.ObjectivesThe purpose of this paper is to provide a narrative review of late complications in adult deformity surgery, including infection, pseudarthrosis and junctional pathology after deformity correction. This review aims to highlight limitations of current management and identify potential areas of improvement and further study.MethodsWe identified common challenges of late complications in adult spinal deformity surgery and performed a directed literature review to summarize the current management and issues encountered in these adverse events. Through consensus, we highlighted the knowledge gaps in the current literature and suggested areas of interest for further study to improve understanding and management of these conditions.ResultsA summary is provided with detailed review of late complications that include infection, pseudarthrosis, junctional pathology, and late decompensation after deformity correction. Important consideration to choosing the appropriate upper and lower instrumented levels, obtaining desired coronal and sagittal alignment, preserving the adjacent ligamentous and muscular structures, obtaining solid arthrodesis, recognizing and optimizing patients for surgery, appropriate pre and post-operative protocols, and appropriately defining normal and pathological parameters.ConclusionsRecognizing appropriate predictor and outcome variables are important for identifying factors, modifiable and fixed, that may be important to make a clinically important difference in outcomes in the surgical treatment of adult spinal deformity. Future studies to reduce late complications are important to improve value and outcome in adult spinal deformity surgery.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".