Linear Mucosal Defect in Nintedanib-associated Colitis: A Rare Case with Collagenous Colitis-like Features
Abstract
A 70-year-old man with idiopathic pulmonary fibrosis undergoing nintedanib treatment for 2 years experienced worsening diarrhea, which prompted colonoscopy. An examination revealed a coarse mucosal appearance and erosion extending from the rectum to the ascending colon with linear mucosal defects in the sigmoid colon. Histopathological findings from the biopsies demonstrated features resembling those of collagenous colitis (CC). The diarrheal symptoms resolved rapidly after nintedanib withdrawal. The patient was subsequently diagnosed with nintedanib-associated, drug-induced colitis with CC-like features. Although linear mucosal defects linked to proton pump inhibitors, particularly lansoprazole, have been reported in CC, they have not been previously described in nintedanib-associated colitis.
How strong is the evidence?
Evidence Hub reads this as a case report, done in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
Read the paper
Related studies
- The Prediction of the In Vitro Release Curves for PLGA-Based Drug Delivery Systems with Neural Networks
- Promising Ursolic Acid as a Novel Antituberculosis Agent: Current Progress and Challenges
- Proof of principle concept for the analysis and functional prediction of rare genetic variants in the CYP2C19 and CYP2D6 genes
- Fabrication, characterization, and docking studies of furosemide-loaded nanosponges using the emulsion solvent diffusion method
- The Effect of Concomitant Administration of Proton Pump Inhibitors on the Pharmacokinetics of CDK4/6 Inhibitors in Rats: Implications for the Evaluation of Hepatic and Transporter-Mediated Drug–Drug Interactions
- Mining the Metabolic Capacity of Clostridium sporogenes Aided by Machine Learning
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.