The impact of preoperative steroid use on short-term outcomes following surgery for inflammatory bowel disease
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Inflammatory bowel disease (IBD) patients are frequently treated with steroids prior to surgery. We characterized the association between preoperative steroid use and postoperative complications in a large prospective cohort. METHODS: We identified patients who underwent major IBD-related abdominal surgery in the American College of Surgeon's National Surgical Quality Improvement Program (ACS-NSQIP) between 2005 and 2012. We compared the risk of postoperative complications and 30-day mortality between preoperative steroid users and non-users. RESULTS: We identified 8260 Crohn's disease (CD) and 7235 ulcerative colitis (UC) patients who underwent major abdominal surgery. Preoperative steroid use was associated with higher risk of postoperative complications, excluding death, in both CD (22.6% vs. 18.5%, P<0.0001) and UC (30.1% vs. 22.5%, P<0.0001). The adjusted odds ratio for any postoperative complication associated with steroids was 1.26 (95% CI: 1.12-1.41) for CD and 1.44 (95% CI: 1.28-1.61) for UC. Infectious complications were more frequent with steroid use in both CD (15.2% vs. 12.9%, P=0.004) and UC (19.4% vs. 15.6%, P<0.0001), specifically intra-abdominal infections and sepsis. Steroid use was associated with increased risk of venous thromboembolism (VTE) in both CD (OR, 1.66; 95% CI: 1.17-2.35) and UC (OR, 2.66; 95% CI: 2.01-3.53). 30-day mortality did not differ among steroid users and non-users (6.8/1000 vs. 5.8/1000, P=0.58 for CD; 13.5/1000 vs. 15.2/1000, P=0.55 for UC). CONCLUSIONS: Preoperative steroids are associated with higher risk of postoperative sepsis and VTE in IBD. Increased infectious control measures and VTE prophylaxis may reduce adverse events.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| 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) | 0.000 | 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 it