Adverse drug events (ADE) are a major public health issue, with drug-drug interactions (DDI) being one of well-recognized causes of ADE that could be preventable by the use of DDI screening software. We compared the ability of four programs to detect clinically important DDI. We tested 62 drug pairs with and 12 drug pairs without clinically important DDI. Lexi-Interact and Epocrates were the most sensitive (95%) compared to the Compendium and Theriaque (80 and 73%, respectively). The Compendium and Theriaque also showed the lowest negative predictive value. All programs showed high specificity and positive predictive value. The qualitative assessment showed the best performances for Compendium and Lexi-Interact. The last one seems to be the best screening program, but the Compendium is in French and is freely available.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Clinical Assessment of Drug Transporter Inhibition Using Biomarkers: Review of the Literature (2015-2024).
J Clin Pharmacol
January 2025
Drug Metabolism and Nonclinical Pharmacokinetics, Translational Medicine, Incyte, Wilmington, DE, USA.
As part of a narrative review of various publications describing the clinical use of urine- and plasma-based drug transporter biomarkers, it was determined that the utilization of coproporphyrin I, a hepatic organic anion transporting polypeptide (OATP) 1B1 and OATP1B3 biomarker, has been reported for 28 different drug-drug interaction (DDI) perpetrator drugs. Similarly, biomarkers for liver organic cation transporter 1 (isobutyryl-l-carnitine, N = 7 inhibitors), renal organic cation transporter 2 and multidrug and toxin extrusion proteins (N-methylnicotinamide, N = 13 inhibitors), renal organic anion transporter (OAT) 1 and 3 (pyridoxic acid, N = 7 inhibitors), and breast cancer resistance protein (riboflavin, N = 3 inhibitors) have also been described. Increased use of biomarkers has also been accompanied by modeling efforts to enable DDI predictions and development of multiplexed methods to facilitate their bioanalysis.
View Article and Find Full Text PDFDevelopment and verification of a nomogram for predicting portal vein tumor thrombosis in hepatocellular carcinoma.
Am J Transl Res
December 2024
Department of Clinical Laboratory, Hunan Provincial People's Hospital (The First Affiliated Hospital of Hunan Normal University) Changsha 410002, Hunan, China.
Objective: To develop a nomogram to predict the risk of portal vein tumor thrombosis (PVTT) in hepatocellular carcinoma (HCC) patients.
Methods: Patients diagnosed with HCC at Hunan Provincial People's Hospital between January 2010 and January 2022 were enrolled. Data on demographic characteristics, comorbidities, and laboratory tests were collected.
A retrospective study on potential drug‒drug interactions in patients with severe asthma receiving biological therapy: a single-center experience.
BMC Pulm Med
January 2025
Clinic for Lung Diseases Jordanovac, University Hospital Centre Zagreb, Zagreb, Croatia.
Background: Prevalence of potential drug-drug interactions (pDDIs) in adult patients with severe asthma on biological therapy and their clinical significance have not been fully addressed, thus the aim of this study was to investigate them.
Methods: In this retrospective observational study, patients who were diagnosed with severe asthma and to whom biological therapy was prescribed between September 2015 and December 2020, were enrolled. The study was conducted at the Department of Allergic and Obstructive Pulmonary Diseases, Clinic for Lung Diseases Jordanovac, Clinical Hospital Center Zagreb.
A Multi-Source drug combination and Omnidirectional feature fusion approach for predicting Drug-Drug interaction events.
J Biomed Inform
January 2025
Northwest Normal University, College of Computer Science and Engineering, Lanzhou, China. Electronic address:
Background: In the medical context where polypharmacy is increasingly common, accurately predicting drug-drug interactions (DDIs) is necessary for enhancing clinical medication safety and personalized treatment. Despite progress in identifying potential DDIs, a deep understanding of the underlying mechanisms of DDIs remains limited, constraining the rapid development and clinical application of new drugs.
Methods: This study introduces a novel multimodal drug-drug interaction (MMDDI) model based on multi-source drug data and comprehensive feature fusion techniques, aiming to improve the accuracy and depth of DDI prediction.
Navigating the Challenges of Cyclosporine as an Alternative to Rifampicin as an OATP1B Index Inhibitor.
Clin Pharmacol Ther
January 2025
Clinical Pharmacology, Pfizer R&D, Pfizer Inc, New York, New York, USA.
Rifampicin is a widely employed index inhibitor to assess the impact of organic anion transporting polypeptide 1B (OATP1B) inhibition on investigational drugs. The observation of nitrosamines in certain drug products, including rifampicin, has impacted the conduct of clinical drug-drug interaction (DDI) studies with rifampicin drug products. Cyclosporine is a recommended alternative to assess in vivo OATP1B activity; however, challenges exist in its use due to pharmacokinetic (PK) variability and non-selective inhibition of other drug disposition mechanisms.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!