Prevalence and risk factors of metabolic dysfunction–associated steatotic liver disease in patients with inflammatory bowel disease
Bibliographic record
Abstract
AIM: The purpose of our study was to evaluate the prevalence of metabolic dysfunction-associated steatotic liver disease (MASLD) and its associated risk factors in patients with inflammatory bowel disease (IBD). METHODS: This was a retrospective chart review of patients who underwent treatment for IBD at Jordan University Hospital between January 2013 and 2022. Case finding methods and clinical chart reviews were used to evaluate the clinical profile of patients with IBD. Demographic, anthropometric, and biochemical data; endoscopic severity scores; and imaging were obtained. RESULTS: A total of 367 patients with IBD were included: 194 with Crohn's disease and 173 with ulcerative colitis. MASLD was diagnosed through imaging in 152 (41.4%) and compared with 215 (58.6%) patients without MASLD. Univariate analysis revealed several factors associated with MASLD in patients with IBD: age, number of relapses, longer IBD duration (all P < 0.001), severity of Crohn's disease based on the simple endoscopic score for Crohn's disease ( P = 0.05), Crohn's disease penetrating behavior based on the Montreal classification ( P < 0.001), increased triglyceride level ( P = 0.002), and the presence of diabetes mellitus and hypertension ( P < 0.001). In the binary logistic regression analysis, increased number of relapses [ P < 0.001, oddsratio (OR) = 1.526], penetrating disease behavior ( P < 0.001, OR = 3.304), and presence of hypertension ( P = 0.027, OR = 6.728) were independent risk factors associated with an increased risk of MASLD, while shorter disease duration was associated with a decreased risk of MASLD ( P = 0.008, OR = 0.849). CONCLUSION: A substantial proportion of patients with IBD experienced concurrent MASLD. Increased IBD duration and number of relapses, penetrating Crohn's disease behavior, and presence of hypertension were independent risk factors associated with MASLD.
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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 | 0.001 |
| 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) | 0.001 | 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".