Effect of Diagnosis on Outcomes in the Setting of Enhanced Recovery Protocols
Bibliographic record
Abstract
BACKGROUND: Implementation of enhanced recovery protocols in colectomy reduces length of stay and morbidity, but it remains unknown whether benefits vary by clinical diagnosis. OBJECTIVE: Outcomes after colectomy in the setting of enhanced recovery protocols were compared for 3 diagnoses: 1) neoplasm, 2) diverticulitis, and 3) IBD. DESIGN: This was a retrospective registry-based cohort study. SETTINGS: Novel enhanced recovery variables were released in the American College of Surgeons National Surgical Quality Improvement Program in 2014. PATIENTS: Patients with enhanced recovery variable data undergoing elective colectomy (July 2014 to December 2015) for neoplasm, diverticulitis, or IBD were included. MAIN OUTCOME MEASURES: The primary outcome of interest was prolonged length of stay. Additional outcomes included surgical site infection, death/serious morbidity, reoperation, readmission, and days to achieve per os pain control, tolerance of a diet, and return of bowel function. RESULTS: We identified 4620 patients with neoplasm, 1730 patients with diverticulitis, and 593 patients with IBD. Patients undergoing colectomy for IBD were more likely to have prolonged length of stay (OR, 1.98; 95% CI, 1.46-2.69), death/serious morbidity (OR, 1.62; 95% CI, 1.13-2.32), and readmission (OR, 1.54; 95% CI, 1.15-2.08) compared with patients with neoplasm. Patients with IBD took longer than patients with neoplasm or diverticulitis to achieve per os pain control (mean, 4.2 days vs 3.4 and 3.5 days, p < 0.001) and tolerate a diet (mean, 4.1 days vs 3.7 and 3.5 days, p < 0.001). No statistically significant differences in outcomes between patients with neoplasm and diverticulitis were seen. LIMITATIONS: There may be heterogeneity among implemented enhanced recovery protocols. CONCLUSIONS: Patients undergoing colectomy for neoplasm and diverticulitis have improved outcomes in comparison with patients undergoing colectomy for IBD. Knowledge of expected outcomes for patients with different diagnoses may inform clinician and patient expectations. See Video Abstract at http://links.lww.com/DCR/A623.
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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 | 0.011 | 0.053 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| 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".