Neuroanesthesia and Intensive Care Pain, nausea, vomiting and ocular complications delay discharge following ambulatory microdiscectomy (La douleur, les nausées, les vomissements et les complications oculaires retardent le départ après une microdiscoïdectomie ambulatoire)
Bibliographic record
Abstract
Objective: Nowadays, microsurgical discectomy is being performed as an outpatient procedure. A retrospective chart review was done to document factors that delayed discharge or led to unanticipated admission. Methods: After Institutional Review Board approval, the hospital medical records of 106 patients who underwent microsurgical discectomy on an ambulatory basis were reviewed. All patients were operated upon by a single surgeon at the Toronto Western Hospital. Perioperative data were collected on specifically designed data sheets. All anesthetic and surgical factors that affected discharge were noted. Results: Of the 106 patients reviewed, only six required unanticipated admission. Two patients were admitted due to nausea and vomiting, one due to severe pain, one due to urinary retention and two were surgical causes (dural tear). Eight patients had delayed discharge. Anesthesia causes were severe nausea, severe pain, low oxygen saturation, sore throat and dry eyes. Two patients had surgical causes. The incidence of postoperative nausea was 61% and postoperative vomiting was 9.4%. Eighty patients (75.4%) complained of pain in the postanesthesia care unit. Of these, 33.9% had visual analogue pain scale scores more than 6. Conclusion: Ambulatory lumbar microdiscectomy can be carried out as an ambulatory procedure with an acceptably low unanticipated admission rate (5.7%). The percentage of patients with severe nausea (16%) and pain (33.9%) is high. Adequate perioperative pain management and effective control of nausea and vom
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".