Gastric Antral Vascular Ectasia: Trends of Hospitalizations, Biodemographic Characteristics, and Outcomes With Watermelon Stomach
Bibliographic record
Abstract
BACKGROUND: Gastric antral vascular ectasia (GAVE) syndrome is a rare but significant cause of acute or chronic gastrointestinal (GI) bleeding, particularly in the elderly. The primary objective of this study was to determine the biodemographic characteristics, adverse outcomes, and the impact of GAVE hospitalizations on the US healthcare system. METHODS: This retrospective database cross-sectional study used the National Inpatient Sample (NIS) from 2001 to 2011 to identify all adult hospitalizations with a primary discharge diagnosis of GAVE, with and without hemorrhage, using the International Classification of Diseases, Ninth Revision (ICD-9) codes. Individuals less than 17 years of age were excluded from the study. The outcomes included biodemographic characteristics, comorbidity measures, and inpatient mortality and the burden of the disease on the US healthcare system in terms of healthcare cost and utilization. RESULTS: We noted an increase in the total hospitalizations for GAVE from 25,423 in 2001 to 44,787 in 2011. Furthermore, GAVE hospitalizations with hemorrhage rose from 19,168 in 2001 to 27,679 in 2011 while GAVE hospitalization without hemorrhage increased from 6,255 in 2001 to 17,108 in 2011. We also noted a female predominance, the proportional trend of which did not show significant difference from 2001 to 2011. For GAVE hospitalizations, the inpatient mortality decreased from 2.20% in 2001 to 1.73% in 2011. However, the cost of hospitalization increased from $11,590 in 2001 to $12,930 in 2011. After adjusting for possible confounders, we observed that the presence of hemorrhage in GAVE hospitalizations was associated with an increased risk of mortality (odds ratio (OR): 1.27; 95% confidence interval (CI): 1.1 - 1.46; P = 0.001). CONCLUSIONS: For the study period, the total number of GAVE hospitalizations increased with an increase noted in the proportion of GAVE hospitalizations without bleeding, reflecting an improvement in diagnostic and therapeutic techniques. Although inpatient mortality for GAVE slightly decreased, we noted a significant increase in the cost of care likely secondary to increased use of advanced and expensive interventions.
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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) | 0.001 | 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 | 0.000 |
| 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".