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Factors associated with methotrexate-related gastrointestinal intolerance and toxicity in rheumatoid arthritis and
Carla Campinho Ferreira1, Inês Borges2, Mariana Pinheiro1
1Unidade Local de Saúde de Braga.
Background:
Methotrexate (MTX) is the cornerstone therapy for rheumatoid arthritis (RA) and psoriatic arthritis (PsA), yet gastrointestinal adverse events (GIAE), including intolerance and hepatotoxicity, remain major causes of treatment modification and discontinuation. Identifying baseline predictors of these reactions is essential to optimizing treatment safety and persistence.
Objectives:
To identify clinical and laboratory predictors of MTX-related GIAE and to compare risk profiles between RA and PsA.
Methods:
Retrospective observation study including MTX-treated patients with RA or PsA. Baseline demographics, comorbidities, laboratory results, MTX characteristics, and concomitant medications were extracted from medical records. GIAE comprised either gastrointestinal (GI) intolerance or toxicity. Associations were assessed through univariate tests followed by multivariable logistic regression. Kaplan-Meier curves evaluated treatment survival according to administration route and disease type.
Results:
Among 369 patients (62.6% female; mean age 57.5 +/- 12.6 years), 50.9% developed GIAE. GI intolerance occurred in 127 patients, mainly presenting as nausea (68.5%). GI toxicity occurred in 75 patients, with baseline alanine transaminase (ALT) significantly higher in affected patients. Independent predictors of GIAE were diabetes mellitus (aOR 2.22), female sex (aOR 1.82) and PsA (aOR 1.67). Predictors of GI intolerance included higher baseline ALT (aOR 1.02), concomitant leflunomide (aOR 1.91), and female sex (aOR 2.08). Predictors of GI toxicity included diabetes (aOR 2.98), alcohol consumption (aOR 2.79), and baseline ALT (aOR 1.03). Survival analysis showed earlier MTX-related GIAE in patients receiving the subcutaneous formulation across diseases (p<.001).
Conclusions:
MTX-related GIAE are frequently and largely driven by metabolic comorbidities, lifestyle exposures, sex and baseline ALT. These routinely available parameters allow early identification of high-risk patients and may guide personalized MTX initiation and monitoring strategies.
Insights
Gastrointestinal adverse events (GIAE) from methotrexate (MTX) are common in rheumatoid arthritis (RA) and psoriatic arthritis (PsA). Diabetes, female sex, and psoriatic arthritis predict GIAE, guiding personalized treatment strategies.
Area of Science:
- Rheumatology
- Pharmacology
- Clinical Medicine
Background:
- Methotrexate (MTX) is a primary treatment for rheumatoid arthritis (RA) and psoriatic arthritis (PsA).
- Gastrointestinal adverse events (GIAE) are a significant cause of MTX treatment modification and discontinuation.
- Identifying baseline predictors of MTX-related GIAE is crucial for optimizing patient outcomes.
Purpose of the Study:
- To identify clinical and laboratory predictors of MTX-related GIAE.
- To compare the risk profiles of GIAE between RA and PsA patients.
- To inform personalized MTX treatment strategies.
Main Methods:
- Retrospective observational study of MTX-treated RA and PsA patients.
- Data extraction included demographics, comorbidities, laboratory results, MTX details, and medications.
- Statistical analyses involved univariate and multivariable logistic regression; Kaplan-Meier curves assessed treatment survival.
Main Results:
- Over half (50.9%) of patients experienced GIAE. Key predictors for GIAE included diabetes mellitus, female sex, and PsA.
- GI intolerance was linked to higher baseline alanine transaminase (ALT), leflunomide use, and female sex.
- GI toxicity predictors were diabetes, alcohol consumption, and baseline ALT.
- Subcutaneous MTX formulation was associated with earlier GIAE.
Conclusions:
- MTX-related GIAE are frequently associated with metabolic comorbidities, lifestyle factors, sex, and baseline ALT levels.
- These routinely available parameters can identify high-risk patients early.
- Personalized MTX initiation and monitoring can be guided by these predictors to improve treatment safety and persistence.
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