Hypoalbuminaemia and Postoperative Outcomes in Inflammatory Bowel Disease: the NSQIP Surgical Cohort
Bibliographic record
Abstract
BACKGROUND: The inflammatory bowel diseases [IBD], including Crohn's disease [CD] and ulcerative colitis [UC], frequently lead to bowel surgery. Hypoalbuminaemia has been shown to be a prognostic factor for outcomes following surgery for other indications, and we sought to determine its role in predicting IBD-related postoperative outcomes. METHODS: We included patients who underwent IBD-related major abdominal surgery in the American College of Surgeons' National Surgical Quality Improvement Program [ACS-NSQIP] between 2005 and 2012. We assessed the impact of indicators of protein-energy malnutrition [PEM] including hypoalbuminaemia, weight loss, and body mass index on postoperative outcomes. RESULTS: We identified 10 913 IBD patients [6082 Crohn's disease and 4831 ulcerative colitis] who underwent bowel surgery. The prevalence of modest and severe hypoalbuminaemia was 17% and 24%, respectively; 30-day mortality was higher in Crohn's patients with modest and severe hypoalbuminaemia compared with those with normal albumin levels preoperatively [0.7% vs 0.2%, p <0.05; 2.4% vs 0.2%, p <0.01]. The same was true for patients with UC with modest and severe hypoalbuminaemia [0.9% vs 0.1%, p <0.01; 5.6% vs 0.1%, p <0.01]. Overall infectious complications were more common in the presence of severe hypoalbuminaemia for CD [20% vs 13%, p <0.01]. and UC [28% vs 15%, p <0.01] patients. Last, there were higher rates of extra-intestinal, non-septic complications in both CD and UC patients with hypoalbuminaemia compared with those with normal albumin levels. CONCLUSIONS: This study suggests that moderate-severe hypoalbuminaemia is associated with worse IBD-related postoperative outcomes and may have a role in preoperative risk stratification.
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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 | 0.000 |
| 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 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".