Predictors of Early Rebleeding after Endoscopic Therapy in Patients with Nonvariceal Upper Gastrointestinal Bleeding Secondary to High-Risk Lesions
Bibliographic record
Abstract
BACKGROUND: In an era of increasingly shortened admissions, data regarding predictors of early rebleeding among patients with nonvariceal upper gastrointestinal bleeding (NVUGIB) exhibiting high-risk stigmata (HRS) having undergone endoscopic hemostasis are lacking. OBJECTIVES: To determine predictors of early rebleeding, defined as rebleeding before completion of recommended 72 h intravenous proton pump inhibitor infusion postendoscopic hemostasis. METHODS: Data from a national registry of patients with upper gastrointestinal bleeding (the REASON registry) were accessed. Univariable and multivariable analyses were sequentially performed to identify significant independent predictors among a comprehensive list of clinical and laboratory characteristics. RESULTS: Overall, 393 patients underwent endoscopic hemostasis for NVUGIB with HRS. Forty patients rebled ≤72 h thereafter (32.5% female, mean [± SD] age 70.2 ± 11.8 years, 2.88 ± 2.11 comorbidities), while 21 rebled later (38.1% female, mean 70.5 ± 14.1 years of age, 2.62 ± 2.06 comorbidities). Hematemesis or bright red blood per nasogastric tube aspirate was identified as the sole independent significant predictor of early rebleeding versus later among both NVUGIB and, more specifically, patients with peptic ulcer bleeding (OR 7.94 [95% CI 1.80 to 35.01]; P<0.01, and OR 8.41 [95% CI 1.54 to 46.10]; P=0.014, respectively). CONCLUSIONS: When attempting to determine the optimal duration of pharmacotherapy and timing of discharge for patients following endoscopic hemostasis for NVUGIB with HRS, it is noteworthy that individuals who present with hematemesis or bright red blood per nasogastric tube aspirate are at particularly high risk for rebleeding within the first 72 h.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".