Changes in Liver Biochemistry During Methotrexate Use for Inflammatory Bowel Disease
Bibliographic record
Abstract
OBJECTIVES: We aimed to characterize the spectrum of liver enzyme test (LET) abnormalities that occur while using methotrexate for inflammatory bowel disease (IBD). METHODS: A retrospective review was undertaken of subjects using methotrexate for IBD at a single center. The clinical and epidemiological parameters, and hepatotoxicity risk factors, were recorded. Subjects were excluded if cumulative methotrexate doses could not be ascertained, if they had a diagnosis of rheumatoid arthritis or psoriasis, or if baseline and follow-up LETs were not available. Also noted were the cumulative methotrexate dose during the peak LET increase, severity of LET increase, and whether normalization occurred. RESULTS: Eighty-seven subjects were included (Crohn's disease, n=67; UC, n=17; indeterminate colitis n=3). The mean therapy duration was 81 weeks (3- to 364-week range), and the cumulative average dose was 1,813 mg (25-8,255-mg range). Thirty-seven (43%) subjects received a cumulative dose >1,500 mg. Sixty-seven (77%) had normal LETs, and in 51 (76%) LETs remained normal throughout methotrexate therapy. In the 16 (24%) who developed LET abnormalities, seven (44%) had underlying risk factor(s) for liver disease. Normalization (without dose reduction) occurred in 14 (88%) while continuing methotrexate. Of 20 subjects with abnormal LETs at baseline, nine (45%) subsequently normalized while continuing methotrexate, whereas nine (45%) worsened. Seventeen liver biopsies were performed in 11 and were classified as Roenigk's grade I in 15 (88%) subjects. Roenigk IIIb or IV was not seen. CONCLUSIONS: Methotrexate is commonly associated with LET abnormalities, but these frequently normalize while still on therapy, and in only 5% will drug discontinuation be necessary. Liver biopsies rarely have substantive abnormalities.
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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 | 0.000 |
| 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".