Background: With the introduction of direct-acting antivirals (DAAs) for hepatitis C virus (HCV) infection, drug-drug interactions (DDIs) emerged as significant challenge. Since then, HCV therapy and the infected population have rapidly changed. So far, very limited data are available regarding the clinical relevance of DDIs when using most modern DAA regimens. We aimed to assess how the importance of DDIs has evolved over time.
Methods: From January 2014 to July 2018, 668 consecutive HCV patients were evaluated for their outpatient medication and assessed for DDIs with DAAs. Different time periods were defined based on market approval of key DAAs: A (01/2014-11/2014), B (11/2014-08/2016), and C (08/2016-07/2018).
Results: The frequency of patients with real-world DDIs was highest in period B (A: 37.1%, B: 49.6%, C: 38.8%). The recently approved DAAs (period C) theoretically showed a lower DDI risk profile. However, real-world DDIs were still comparable to period A, as HCV patients' characteristics changed (eg, age ≥75 years: A: 3.1%, B: 9.8%, C: 5.6%; polypharmacy/patients with ≥8 drugs: A: 11.1%, B: 15.2%, C: 17.2%). Furthermore, although DDIs via CYP 3A4 became less important for some modern regimens, other mechanisms like an altered pH value in the stomach, causing reduced bioavailability, evolved. Relevant DDIs most frequently occurred with proton pump inhibitors, metamizole, statins, and carvedilol.
Conclusions: DDIs during antiviral treatment still affect about 40% of HCV patients. The lower DDI potential of modern DAA regimens is partly counteracted by changing patient characteristics. Therefore, DDIs should not be underestimated.
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http://dx.doi.org/10.1093/ofid/ofaa040 | DOI Listing |
Liver Int
February 2025
Emergency Medicine and Thrombosis and Haemostasis Center, ASST Sette Laghi, Varese, Italy.
The natural history of chronic hepatitis C virus (HCV) infection has changed after the introduction of direct-acting antiviral agents (DAAs). Screening programs have been ongoing to reach the World Health Organisation's goal of HCV elimination by 2030, and most infected people are eligible for treatment. Given the increased cardiovascular risk in people with HCV infection and the metabolic pathways of DAAs, it is not uncommon to face the issue of drug-drug interactions (DDIs) with antiplatelet or anticoagulant drugs.
View Article and Find Full Text PDFJ Glob Antimicrob Resist
December 2024
Research Center of Clinical Pharmacy, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China. Electronic address:
Background: Nirmatrelvir-ritonavir is effective in the treatment of SARS-CoV-2 infection. It can cause drug‒drug interactions (DDIs), even several days after withdrawal, due to irreversible inhibition of the cytochrome enzyme.
Methods: Hospitalized patients diagnosed with COVID-19 infection and treated with nirmatrelvir-ritonavir were retrospectively included according to preset criteria.
Sci Rep
December 2024
School of Public Health, Chongqing Medical University, 1 Yixueyuan Road, Yuzhong District, Chongqing, 400016, China.
The study aims to address the critical issue of toxic side effects resulting from drug combinations, which can significantly increase health risks, clinical complications, and lead to drug being withdrawn from the market. A model named TSEDDI (toxic side effects of drug-drug interaction) has been developed to improve the identification of drug pairs that may induce toxicity or adverse reactions. By utilizing drug chemical structures and diverse proteins, we employ a convolutional neural network (CNN) to extract features from molecular images, enzyme proteins, transporter proteins, and target proteins.
View Article and Find Full Text PDFEur Heart J Cardiovasc Pharmacother
December 2024
Cardiology Department, Health Sciences North, Northern Ontario School of Medicine University, Sudbury, Ontario, Canada.
Background And Aims: Amiodarone is frequently prescribed alongside direct oral anticoagulants (DOACs) in atrial fibrillation (AF). There are concerns regarding drug-drug interactions (DDIs) between amiodarone and DOACs. The literature is conflicting on the clinical implications of this DDI, hence we conducted a meta-analysis to compare bleeding risk among patients receiving DOACs, with and without concurrent amiodarone.
View Article and Find Full Text PDFDrugs R D
December 2024
Galapagos SASU, Romainville, France.
Background And Objective: This study provides a physiologically based pharmacokinetic (PBPK) model-based analysis of the potential drug-drug interaction (DDI) between cyclosporin A (CsA), a breast cancer resistance protein transporter (BCRP) inhibitor, and methotrexate (MTX), a putative BCRP substrate.
Methods: PBPK models for CsA and MTX were built using open-source tools and published data for both model building and for model verification and validation. The MTX and CsA PBPK models were evaluated for their application in simulating BCRP-related DDIs.
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