Sepsis is a Major Predictor of Failure After Ileal Pouch-Anal Anastomosis
Bibliographic record
Abstract
PURPOSE: This study aimed to determine the risk of ileal pouch-anal anastomosis failure and factors predictive of failure overall and in patients with septic complications. METHODS: Patients were identified through a prospectively maintained patient registry. All patients registered in the Mount Sinai Hospital Inflammatory Bowel Disease database who had an ileal pouch-anal anastomosis for more than 12 months were included in the study. Pouch failure was defined as ileal pouch-anal anastomosis excision or permanent diversion. Cox proportional hazard models with death as a competing risk were created, modeling time to failure as the outcome of interest for all patients and for the subgroup of patients with septic complications. RESULTS: The study included 1,554 patients. One hundred six patients experienced an ileal pouch-anal anastomosis failure (6.8%), 49 (46.2%) of these failures were caused by septic complications. Independent predictors of failure included Crohn's disease (hazard ratio 7.5, 95% confidence interval [4.7, 12.0]) and postoperative sepsis (hazard ratio 6.6, 95% confidence interval [4.4, 9.8]). In the subgroup of patients with failure due to postoperative septic complications, independent predictors of failure were Crohn's disease (hazard ratio 2.7, 95% confidence interval [1.3, 5.7]) and presence of a pouch fistula (hazard ratio 2.6, 95% confidence interval [1.3, 5.2]). CONCLUSION: Septic complications are the most common cause of ileal pouch-anal anastomosis failure. Careful patient selection and the prevention of septic complications may decrease the risk of this failure.
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How this classification was reachedexpand
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) | 0.001 | 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 teacher head, 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".