The Danish health care system provides partial reimbursement of most prescription medications in Denmark. The dispensation of prescription medications is registered in administrative databases. Each time a prescription is redeemed at a pharmacy, an electronic record is generated with information related to the user, prescriber, the pharmacy, and the dispensed drug. The National Health Service gathers this information for administration of the drug reimbursement plan. Recently, this information became the basis for the establishment of a new research database, the Danish National Database of Reimbursed Prescriptions (DNDRP). In this paper, we review the content, coverage, quality, linkage, access, and research possibilities of this new database. The database encompasses the reimbursement records of all reimbursed drugs sold in community pharmacies and hospital-based outpatient pharmacies in Denmark since 2004. On average, approximately 3.5 million users are recorded in the database each year. During the coverage period, the number of annual prescription redemptions increased by 15%. Most dispensed prescriptions are in the categories "alimentary tract and metabolism", "cardiovascular system", "nervous system", and "respiratory system". Individuals are identified by the unique central personal registration (CPR) number assigned to all persons born in or immigrating to Denmark. The new database fully complies with Denmark's Act on Processing of Personal Data, while avoiding additional restrictions imposed on data use at the Danish National Prescription Registry, administered by Statistics Denmark. Most importantly, CPR numbers are reversibly encrypted, which allows re-identification of drug users; furthermore, the data access is possible outside the servers of Statistics Denmark. These features open additional opportunities for international collaboration, validation studies, studies on adverse drug effects requiring review of medical records, studies involving contact to general practitioners, and linkage of prescription data to other clinical and research databases. The DNDRP thus is a valuable data source for pharmacoepidemiological research.
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http://dx.doi.org/10.2147/CLEP.S37587 | DOI Listing |
NPJ Precis Oncol
January 2025
Eötvös Loránd University, Department of Physics of Complex Systems, Budapest, Hungary.
Patients with High-Grade Serous Ovarian Cancer (HGSOC) exhibit varied responses to treatment, with 20-30% showing de novo resistance to platinum-based chemotherapy. While hematoxylin-eosin (H&E)-stained pathological slides are used for routine diagnosis of cancer type, they may also contain diagnostically useful information about treatment response. Our study demonstrates that combining H&E-stained whole slide images (WSIs) with proteomic signatures using a multimodal deep learning framework significantly improves the prediction of platinum response in both discovery and validation cohorts.
View Article and Find Full Text PDFBMJ Open
January 2025
Clinical and Translational Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
Introduction: The global prevalence of people living with overweight has tripled since 1975 and more than 40% of Danish women enter pregnancy being overweight. With the increasing rates of obesity observed in children, adolescents and adults, there is an urgent need for preventive measures. Risk factors for childhood obesity include maternal overweight or obesity before conception and excessive weight gain during pregnancy.
View Article and Find Full Text PDFEnviron Res
January 2025
Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway.
Background: Air pollution has been linked to respiratory diseases, while the effects of greenness remain inconclusive.
Objective: We investigated the associations between exposure to particulate matter (PM and PM), black carbon (BC), nitrogen dioxide (NO), ozone (O), and greenness (normalized difference vegetation index, NDVI) with respiratory emergency room visits and hospitalizations across seven Northern European centers in the European Community Respiratory Health Survey (ECRHS) study.
Methods: We used modified mixed-effects Poisson regression to analyze associations of exposure in 1990, 2000 and mean exposure 1990-2000 with respiratory outcomes recorded duing ECRHS phases II and III.
Lancet Neurol
February 2025
Department of Medicine, McMaster University, Population Health Research Institute, Hamilton, ON, Canada.
Background: People with subclinical atrial fibrillation are at increased risk of stroke, albeit to a lesser extent than those with clinical atrial fibrillation, leading to an ongoing debate regarding the benefit of anticoagulation in these individuals. In the ARTESiA trial, the direct-acting oral anticoagulant apixaban reduced stroke or systemic embolism compared with aspirin in people with subclinical atrial fibrillation, but the risk of major bleeding was increased with apixaban. In a prespecified subgroup analysis of ARTESiA, we tested the hypothesis that people with subclinical atrial fibrillation and a history of stroke or transient ischaemic attack, who are known to have an increased risk of recurrent stroke, would show a greater benefit from oral anticoagulation for secondary stroke prevention compared with those without a history of stroke or transient ischaemic attack.
View Article and Find Full Text PDFThromb Res
January 2025
Department of Cardiology, The Heart Centre, Copenhagen University Hospital Rigshospitalet, Denmark; Department of Data, Biostatistics and Pharmacoepidemiology, Centre for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Denmark.
Background: In patients with pulmonary embolism (PE), the impact of repeated troponin I or T (TnI/TnT) measurements remains unclear.
Methods: Using Danish national registries, we identified PE patients (≥18 years) hospitalized between 2013 and 2018 with initial TnI or TnT measurement within -1/+1 day from admission and >1 repeated measurement within three days. Trajectories of TnI and TnT were identified using latent class trajectory modeling.
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