Multi‐institutional study of risk factors for perioperative morbidity following transnasal endoscopic pituitary adenoma surgery
Bibliographic record
Abstract
BACKGROUND: The goal of this study was to identify preoperative risk factors associated with increased perioperative morbidity after endoscopic pituitary surgery. METHODS: A retrospective review of patients undergoing endoscopic pituitary adenoma surgery between 2002 and 2014 at 6 international centers was performed. Standard demographic and comorbidity data, as well as information regarding tumor extent and treatment were collected. Logistic regression was used to examine risk factors for the following 30-day outcomes: systemic complications, intracranial complications, postoperative cerebrospinal fluid (CSF) leaks, length of hospital stay, readmission, and reoperation. RESULTS: Data was collected on 982 patients with a mean age of 52 years. The median body mass index (BMI) for all patients was 30.9 kg/m(2) with 56% female. The median hospital stay was 5 days and 23.8% of patients suffered a postoperative adverse event. Systemic complications occurred in 3.2% of patients and intraventricular extension was a risk factor (odds ratio [OR] 8.9). Intracranial complications occurred in 7.3% of patients and risk factors included previous radiation (OR 8.6) and intraventricular extension (OR 7.9). Reoperation occurred in 6.5% of patients and intraventricular extension (OR 7.3) and age (<40 years, OR 3.5; 40 to 64 years, OR 3.2) were risk factors. Postoperative CSF leaks occurred in 5.5% of patients and risk factors included female gender (OR 2.4), BMI ≥ 30 (OR 2.1), age (<40 years, OR 5.3; 40 to 64 years, OR, 7.9), and intraventricular extension (OR, 9.5). CONCLUSION: Postoperative endoscopic pituitary adenoma surgery complications are associated with tumors with intraventricular extension, preoperative radiation, as well as common patient comorbidities. Identification of these factors may permit implementation of strategies to reduce postoperative complications.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".