Real-world evidence on predictors of antimicrobial resistance among patients with chronic liver disease

Introduction: Chronic liver disease (CLD) predisposes patients to bacterial infections, with multidrug-resistant (MDR) pathogens posing significant challenges to clinical management and outcomes. Understanding the prevalence, resistance patterns, and predictors of MDR is essential for optimizing antimicrobial therapy. This study aimed to generate real-world evidence on the clinical, demographic, and healthcare-related predictors of antimicrobial resistance and to characterize local pathogen distribution and resistance patterns among patients with CLD in a tertiary care setting. Methods: -tests, respectively. Predictors of MDR infection were identified using logistic regression analysis. Results: < 0.05). Discussion: . Resistance was more common in healthcare-associated infections and was characterized by reduced susceptibility to carbapenems, cephalosporins, and fluoroquinolones. Tigecycline and aminoglycosides retained relatively preserved activity. Key predictors of MDR included older age, male gender, Gram-negative etiology, healthcare exposure, and prior antibiotic use, underscoring the need for targeted antimicrobial stewardship strategies.