Abstract TP161: Gastrointestinal Bowel Obstruction in Acute Ischemic Stroke: Incidence, Risk Factors, and Outcomes
Bibliographic record
Abstract
Introduction: The prognosis of patients suffering acute ischemic stroke (AIS) is worsened by medical complications that occur during subsequent hospitalization. The incidence, risk factors, and outcomes of gastrointestinal bowel obstruction (GIBO) in AIS have not been previously reported. Methods: We employed the Nationwide Inpatient Sample from 2002 to 2011 to identify all patients admitted with a primary diagnosis of AIS and subsets with and without a secondary diagnosis of GIBO without hernia. Multivariate logistic regression was utilized to analyze predictors of GIBO in AIS patients and the association between GIBO, in-hospital complications, and outcomes. Results: We identified 16,987 patients with GIBO (425 per 100,000) among 3,988,667 AIS hospitalizations and 4.2% of patients of these patients underwent repair surgery for intestinal obstruction. Multivariate predictors of GIBO included: age 55-64 (OR: 1.52, 95% CI: 1.40-1.64), age 65-74 (OR: 1.69, 95% CI: 1.56-1.84), age 75+ (OR: 1.97, 95% CI: 1.81-2.13), black race (OR: 1.42, 95% CI: 1.36-1.49), coagulopathy (OR: 1.39, 95% CI: 1.29-1.50), cancer (OR: 1.59, 95% CI: 1.44-1.75), blood loss anemia (OR: 2.51, 95% CI: 2.22-2.84), fluid/electrolyte disorder (OR: 2.91, 95% CI: 2.81-3.02), weight loss (OR: 3.08, 95% CI: 2.93-3.25), and thrombolytic therapy (OR: 1.30, 95% CI: 1.20-1.42) (all p<0.0001). Patients with GIBO had a greater likelihood of suffering intubation (OR: 1.79, 95% CI: 1.70-1.90), deep vein thrombosis (OR: 1.35, 95% CI: 1.25-1.46), pulmonary embolism (OR: 1.84, 95% CI: 1.53-2.21), sepsis (OR: 2.39, 95% CI: 2.22-2.56), acute kidney injury (OR: 1.85, 95% CI: 1.76-1.95), gastrointestinal hemorrhage (OR: 2.82, 95% CI: 2.63-3.03), and blood transfusions (OR: 2.02, 95% CI: 1.90-2.15) (all p<0.0001). In adjusted analyses, AIS patients with GIBO were 284% and 39% more likely to face moderate to severe disability and in-hospital death, respectively (p<0.0001). GIBO occurrence increased length of stay and total costs by an average of 9.7 days and $22,342 (p<0.0001). Conclusion: Advanced age, black race, and several pre-existing comorbidities increase the likelihood of post-AIS GIBO, which is an independent predictor of in-hospital complications, disability, and mortality.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".