Analysis of Drug-Drug Interaction Effects on the Efficacy of Chronic Disease Treatments: A Clinical Study

Abstract

Drug-drug interactions (DDIs) are a significant concern in modern medicine, particularly in the management of chronic diseases. As the complexity of treatment regimens increases, especially among patients with multiple chronic conditions, the likelihood of DDIs rises. These interactions can affect drug absorption, distribution, metabolism, or excretion, thereby reducing therapeutic efficacy or increasing adverse effects.
Understanding the impact of DDIs is crucial for identifying potential risks and improving treatment outcomes. Recent studies indicate that a substantial proportion of patients with chronic conditions such as diabetes, cardiovascular diseases, and chronic kidney disease (CKD) are at high risk of DDIs. This necessitates precise adjustments to drug dosages to optimize therapeutic outcomes and minimize adverse events[1].
Moreover, DDIs are not only a clinical challenge but also a significant economic and healthcare burden. Approximately 2.8% of hospital admissions are directly attributed to DDIs, a figure that may be underestimated due to difficulties in diagnosing these interactions[2]. Advances in precision medicine present opportunities to tailor treatments to individual patient characteristics, thereby mitigating the risks of DDIs and enhancing therapeutic effectiveness[3].