Alimentary Pharmacology & Therapeutics, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 25, 2025
We thank Drs. Tome and Pardi for their editorial on our study examining the association between antibiotic exposure microscopic colitis (MC) [1]. appreciate careful literature review insightful discussion regarding potential confounding factors that may influence observed relationship drug exposures MC. As highlighted, studies investigating medications associated with MC have consistently encountered challenges in disentangling causation from confounding. aimed to address this through a self-controlled design [2], which cases acted as own controls, thereby mitigating important confounders, such genetic predisposition, are difficult account traditional cohort [3]. In where external controls necessary, matching by clinical characteristics healthcare engagement patterns can further reduce confounding, strengthening causal inference. However, we acknowledge detection bias remains consideration. Patients experiencing gastrointestinal symptoms certain (e.g., antibiotics) be more likely undergo endoscopic evaluation, increasing detection. Medication often occur combination, particularly older adults. These combinations antibiotics combined non-steroidal anti-inflammatory drugs or proton pump inhibitors) amplify side effects. The interplay of multiple complicates challenge establishing direct link any single medication Future research should investigate impact polypharmacy incidence severity, ideally prospective, longitudinal rigorous selection control groups. Looking ahead, comprehensive needed understand how various alter intestinal environment, contributing development. One option is gut microbiome's role antibiotic-induced dysbiosis prime colonic mucosa an aberrant immune response. Incorporating stool metagenomics, mucosal immunologic markers, detailed pharmacokinetic/pharmacodynamic data into prospective could provide crucial insights pathophysiology Such investigations pave way precision medicine approaches, enabling targeted interventions based microbiome profiles, pathways, predispositions prevent mitigate high-risk individuals [4]. Large-scale analyses using real-world evidence electronic health record-based pharmacoepidemiologic help identify at-risk subgroups effectively. This might include adults comorbidities, specific backgrounds, patients requiring complex regimens. By leveraging big analytics, future move beyond broad associations generate actionable risk prediction models, ultimately guiding clinicians safer prescribing practices. Finally, join emphasising meticulous both prescription over-the-counter essential patient newly diagnosed Even if definitive causality agent challenging establish, clinically guided deprescribing switching alternative lead meaningful symptom improvement [5]. again valuable perspective. Their synthesis current knowledge has underscored need continued collaboration better drug-related underpinnings hope study, alongside editorial, will encourage critical inquiry optimise management strategies these patients. Máté Szilcz: conceptualization, formal analysis, project administration, writing – original draft, editing, methodology, software, visualization. Jonas W. Wastesson: methodology. David Bergman: Kristina Johnell: supervision, funding acquisition, editing. F. Ludvigsson: article linked Szilcz et al papers. To view articles, visit https://doi.org/10.1111/apt.70028 https://doi.org/10.1111/apt.70043. Data sharing not applicable no new were created analyzed study.
Language: Английский