Early Discharge after Uncomplicated Elective Colectomy and Risk of Postdischarge Complication
Bibliographic record
Abstract
BACKGROUND: This was a retrospective cohort study of adult patients undergoing uncomplicated elective colectomy using the NSQIP database from January 2012 to December 2019. A colectomy is deemed uncomplicated if there are no complications reported during the hospitalization. The objective of this study was to examine the association between discharge timing and postdischarge complications in patients who undergo uncomplicated elective colectomy. STUDY DESIGN: Patients were stratified into an early discharge group if their length of postoperative hospitalization was ≤3 days for laparoscopic or robotic approaches, or ≤5 days for the open approach, and otherwise into delayed discharge groups. The association between early discharge and any postdischarge complication was examined using unadjusted logistic regression after propensity score matching between early and delayed discharge groups. RESULTS: Of the 113,940 patients included, 77,979, 15,877, and 20,084 patients underwent uncomplicated laparoscopic, robotic, and open colectomy, respectively. After propensity score matching, the odds of a postdischarge complication were lower for the early discharge group in laparoscopic (odds ratio 0.73, 95% CI 0.68 to 0.79) and robotic (odds ratio 0.63, 95% CI 0.52 to 0.76) approaches, and not different in the open approach (odds ratio 1.02, 95% CI 0.91 to 1.15). There were no clinically meaningful differences in the risk of return to the operating room for all surgical approaches. CONCLUSIONS: Early discharge after uncomplicated colectomy appears to be safe and is associated with lower odds of postdischarge complications in minimally invasive approaches. Our findings suggest that surgical teams practice sound clinical judgments on selecting patients who benefit from early discharge.
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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 | 0.004 |
| 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".