Is extended venous thromboprophylaxis required in patients undergoing ileal pouch procedure for <scp>ulcerative colitis</scp>?
Bibliographic record
Abstract
AIM: Venous thromboembolic events (VTEs) are relatively common adverse surgical complications. Extended VTE prophylaxis for 4 weeks is recommended after colorectal cancer surgery, but its use in inflammatory bowel disease surgery lacks high-quality evidence. This retrospective study aimed to assess and characterize VTEs within the first 30 days after ileal pouch-anal anastomosis (IPAA) procedures and subtotal colectomies (STCs) for ulcerative colitis (UC). METHODS: All patients who underwent IPAA for UC between 1 January 2017 and 31 December 2021 were included. VTE rates after IPAA, in-hospital or at-home occurrences, utilization of in-hospital thromboprophylaxis, and prescribed anticoagulant treatment were evaluated. Retrospectively, the same variables were analysed if patients of the cohort underwent STC before the IPAA construction. RESULTS: In all, 204 patients underwent IPAA (61.8% men, 73% laparoscopic), with an average hospital stay of 6.8 days. Among them, 116 patients underwent STC prior to IPAA. Thirteen patients (6.3%) experienced VTEs after IPAA, with 76.9% (10/13) of cases occurring during hospitalization and under adequate thromboprophylaxis. The VTE rate after STC was 10.3% (12/116), with 58.2% (7/12) occurring in hospital and under appropriate thromboprophylaxis. No reoperations or mortality were attributed to thrombotic events. The type and duration of anticoagulant treatment varied considerably. CONCLUSION: The VTE rate after IPAA for UC was 6.3%, with the majority of events occurring in hospital and under adequate thromboprophylaxis. These findings suggest that routine use of extended VTE prophylaxis in our cohort may not be supported. Further research is needed to clarify the optimal VTE prophylaxis strategy for inflammatory bowel disease surgery.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".