Nationwide prevalence and prognostic significance of clinically diagnosable protein-calorie malnutrition in hospitalized inflammatory bowel disease patients
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Inflammatory bowel disease (IBD) patients are at increased risk of protein-calorie malnutrition. We sought to determine the prevalence of clinically diagnosable malnutrition among those hospitalized for IBD throughout the United States and whether this malnutrition influenced health outcomes. METHODS: We queried the Nationwide Inpatient Sample between 1998 and 2004 to identify admissions for Crohn's disease (CD) or ulcerative colitis (UC) and a representative sample of non-IBD discharges. We assessed the prevalence and predictors of malnutrition and its association with in-hospital mortality and resource utilization. RESULTS: The prevalence of malnutrition was greater in CD and UC patients than in non-IBD patients (6.1% and 7.2% versus 1.8%, P < 0.0001). The adjusted odds ratio for malnutrition among IBD admissions compared with non-IBD admissions was 5.57 [95% confidence interval (CI): 5.29-5.86]. More IBD discharges than non-IBD discharges with malnutrition received parenteral nutrition (26% versus 6%, P < 0.0001). There was increased likelihood of malnutrition among those with fistulizing CD (OR 1.65; 95% CI: 1.50-1.82) and among those who had undergone bowel resection (OR 1.37; 95% CI: 1.27-1.48). Malnutrition was associated with increased in-hospital mortality 3.49 (95% CI: 2.89-4.23), length of stay (11.9 days versus 5.8 days, P < 0.00001), and total charges ($45,188 versus $20,295, P < 0.0001). CONCLUSIONS: Clinically apparent malnutrition is more frequent among IBD admissions than among non-IBD admissions. Its association with greater mortality and resource utilization may reflect more severe underlying disease that can lead to both malnutrition and worse outcomes. Nonetheless, diagnosable malnutrition may serve as a clinical marker of poor IBD prognosis in hospitalized patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it