Anesthetic Management of a Patient With Trisomy 18 Undergoing a Multilevel Spinal Fusion
Bibliographic record
Abstract
Trisomy 18 is the second most common autosomal trisomy aside from trisomy 21. Anesthesiologists were unlikely to manage such patients in the past, specifically those surviving later into childhood due to the 90% mortality rate within the first year of life and the lack of procedural options that were available. However, a paucity of literature regarding the anesthetic management of such patients exists. Trisomy 18 patients present a unique anesthetic challenge, given the presence of associated dysmorphic facial features and the involvement of multiple organ systems, leading to difficult airway and hemodynamic disturbances. In this case report, we present the anesthetic management of a 9-year-old patient with trisomy 18 undergoing a multilevel spinal fusion. Despite significant intraoperative hemorrhage, the patient was able to tolerate the procedure without complications, likely owing to the meticulous preoperative preparation and the patient's survival later into childhood. This case contributes to a small subset of literature which suggests that patients with trisomy 18 who survive later into childhood have an improved ability to tolerate general anesthesia.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| 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".