Handgrip strength and risk of malnutrition are associated with an increased risk of hospitalizations in inflammatory bowel disease patients
Bibliographic record
Abstract
Background: In patients with inflammatory bowel disease (IBD), frailty is independently associated with mortality and morbidity. Objectives: This study aimed to extend this work to determine the association between the clinical frailty scale (CFS), handgrip strength (HGS), and malnutrition with IBD-related hospitalizations and surgeries. Design: IBD patients ⩾18 years of age were prospectively enrolled from two ambulatory care clinics in Alberta, Canada. Methods: Frailty was defined as a CFS score ⩾4, dynapenia as HGS < 16 kg for females and <27 kg for males, malnutrition using the subjective global assessment (SGA), and the risk of malnutrition using either the abridged patient-generated SGA (abPG-SGA), or the Saskatchewan Inflammatory Bowel Disease Nutrition Risk Tool (SaskIBD-NRT). Logarithm relative hazard graphs and multivariable logistic regression models adjusting for relevant confounders were constructed. Results: One hundred sixty-one patients (35% ulcerative colitis, 65% Crohn’s disease) with a mean age of 42.2 (±15.9) years were followed over a mean period of 43.9 (±10.1) months. Twenty-seven patients were hospitalized, and 13 patients underwent IBD-related surgeries following baseline. While the CFS (aHR 1.34; p = 0.61) and SGA (aHR 0.81; p = 0.69) did not independently predict IBD-related hospitalizations, decreased HGS (aHR 3.96; p = 0.03), increased abPG-SGA score (aHR 1.07; p = 0.03) and a SaskIBD-NRT ⩾ 5 (aHR 4.49; p = 0.02) did. No variable was independently associated with IBD-related surgeries. Conclusion: HGS, the abPG-SGA, and the SaskIBD-NRT were independently associated with an increased risk of IBD-related hospitalizations. Future studies should aim to validate other frailty assessments in the IBD population in order to better tailor care for all IBD patients.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".