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Background: Drug-drug interactions (DDIs), highly prevalent amongst the elderly, can lead to avoidable medication-related harm. Cardiovascular and central nervous system (CNS) drugs are commonly implicated. To date, there is no consensus on how to measure DDIs, making comparisons across countries challenging.
Objective: To (i) establish a common data model (CDM) to measure DDI prevalence in the older (aged ≥ 70 years) community-dwelling population of three European countries and (ii) compare and describe cardiovascular and CNS DDI prevalence rates across these countries.
Methods: This cross-country study will apply a harmonised method of DDI identification and analysis using the WHO ATC classification system and national pharmacy claims data from three European countries (Ireland, Italy, Spain). Patients aged ≥ 70 years dispensed ≥ 2 medications during 2016 will be identified from each country's national database. 'Severe' cardiovascular and CNS DDIs (i.e., may result in a life-threatening event/permanent detrimental effect) will be identified using the British National Formulary and Stockley's Drug Interactions. Two separate lists of 'severe' DDIs, per medications reimbursed, will be applied to each database: (i) DDIs relevant to each individual country and (ii) DDIs relevant to all three countries. DDIs will be defined as co-dispensed (same day) and concomitantly (±7 days) dispensed.
Results: Descriptive statistics, including DDI prevalence and 95% confidence intervals, will be reported for each country. Prevalence will be pooled and compared across countries using random effects models and meta-regression, where feasible.
Conclusion: The EuroDDI study will develop a harmonised method to measure and compare DDI prevalence across health-related databases in Europe.
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http://dx.doi.org/10.1002/pds.70092 | DOI Listing |
Pharmacotherapy
September 2025
Department of Biomedical Informatics, School of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Background: Omeprazole, a widely used proton pump inhibitor, has been associated with rare but serious adverse events such as myopathy. Previous research suggests that concurrent use of omeprazole with fluconazole, a potent cytochrome P450 (CYP) 2C19/3A4 inhibitor, may increase the risk of myopathy. However, the contribution of genetic polymorphisms in CYP enzymes remains unclear.
View Article and Find Full Text PDFClin Ther
September 2025
Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy; Cardiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy. Electronic address:
Purpose: Despite their promising safety profile, use of direct oral anticoagulants (DOACs) presents challenges, particularly concerning polypharmacy and potential drug-drug interactions (DDIs). This study aimed to investigate real-world effects of polypharmacy and DDIs among DOAC users, focusing on patients with atrial fibrillation (AF).
Methods: A retrospective cohort analysis was conducted using administrative health care data from the Caserta Local Health Unit (2012-2020).
Diagnostics (Basel)
August 2025
Department of Neurosurgery, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece.
: Anterior cervical discectomy and fusion (ACDF) is a widely performed surgical intervention for cervical spine herniation (CSH) to alleviate symptoms such as pain, weakness, and restricted mobility. Despite its efficacy, ACDF is associated with postoperative complications, notably dysphagia and dysphonia (PDD). : This study investigates the prevalence, severity, and risk factors associated with PDD following ACDF using the validated Dysphagia and Dysphonia Inventory (HSS-DDI) adapted into Greek.
View Article and Find Full Text PDFBMJ Open
August 2025
Pharmaceutical Sciences Program, School of Health and Allied Sciences, Pokhara University, Pokhara, Gandaki, Nepal.
Background: Drug-drug interactions (DDIs) are a significant concern for patients on complex therapeutic regimens, especially involving cardiovascular medications, which are frequently implicated in these interactions.
Objectives: This study used a standardised interaction database to determine the frequency, severity and risk factors associated with potential DDIs (pDDIs) among cardiovascular disease (CVD) in-patients.
Methods: The prospective cross-sectional study was conducted at a tertiary care hospital in Nepal from April 2024 to October 2024.
Appl Clin Inform
August 2025
Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, United States.
This study aimed to develop a human factors assessment for medication-related clinical decision support (CDS) based on a previously validated tool that assessed the integration of human factors principles in CDS, the instrument for evaluating human factors principles in medication-related decision support alerts (I-MeDeSA), and pilot it with 10 outpatient clinics across the United States.The human factors assessment was developed based on past validations of I-MeDeSA. Examples included changing the wording of questions and reformatting answer choices to check-box options, allowing for multiple answer choices.
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