Drug Safety in Hospitalized Diabetes Patients: A Retrospective Analysis of Predictors and Clinical Relevance of...

Background: Diabetes mellitus is frequently associated with complications and comorbidities that often require hospitalization and the use of multiple medications for effective management. However, the simultaneous use of these treatments significantly increases the risk of potential drug-drug interactions (pDDIs). Objectives: This study assessed the prevalence, levels, and associated predictors of pDDIs among hospitalized participants with type 2 diabetes mellitus (T2DM) and evaluated their clinical relevance and implications for monitoring and management. Methods: This retrospective cross-sectional study included 430 inpatients with T2DM at Universitas Indonesia Hospital, Indonesia. Lexicomp^® Lexi-Interact™ software Wolters Kluwer was used to analyze and classify pDDIs based on severity, risk rating, and documentation levels. Additionally, logistic regression analysis was conducted to identify the predictors of pDDIs, and the study assessed the clinical relevance of major pDDIs. Results: Of the total participants, 84.7% (n = 364) experienced pDDIs, with 1642 interactions identified. Moderate interactions accounted for 77.5% (n = 1273), whereas major interactions constituted 12.2% (n = 201). The most common risk rating was category C (77.5%, n = 1187), and the predominant evidence support level was 'fair' (64.8%, n = 1064). Multivariate logistic regression analysis showed a significant association between pDDIs and of 7-12 medications used (OR = 30.1; p < 0.001), and hospital stays ≥4 days (OR = 9.7; p = 0.001). Major pDDIs were significantly linked to ≥13 medications (OR = 5.5; p = 0.002), ≥4 days hospitalization (OR = 11.3; p < 0.001), and urinary tract infections (OR = 3.5; p = 0.02). Participants with major pDDIs exhibited hypoglycemia, hyperglycemia, electrolyte imbalances, and reduced therapeutic responses. Conclusions: The findings indicate a high prevalence of pDDIs among participants with T2DM, highlighting the impact of polypharmacy, prolonged hospitalization, and comorbidities. Implementing software-based screening, close monitoring, and targeted interventions are essential to reduce adverse clinical outcomes and enhance patient safety.