Time-dependent drug-drug interactions (TDDIs) are drug combinations that result in a decreased drug effect due to coadministration of a second drug. Such interactions can be prevented by separately administering the drugs. This study attempted to reduce drug administration errors due to overridden TDDIs in a care provider order entry (CPOE) system. In four periods divided over two studies, logged TDDIs were investigated by reviewing the time intervals prescribed in the CPOE and recorded on the patient chart. The first study showed significant drug administration error reduction from 56.4 to 36.2% (p<0.05), whereas the second study was not successful (46.7 and 45.2%; p>0.05). Despite interventions, drug administration errors still occurred in more than one third of cases and prescribing errors in 79-87%. Probably the low alert specificity, the unclear alert information content, and the inability of the software to support safe and efficient TDDI alert handling all diminished correct prescribing, and consequently, insufficiently reduced drug administration errors.
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http://dx.doi.org/10.1197/jamia.M2810 | DOI Listing |
J Med Chem
January 2025
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
The Ca/calmodulin-dependent protein kinase II α (CaMKIIα) plays a crucial role in regulating neuronal signaling and higher brain functions, being involved in various brain diseases. Utilization of small molecules targeting the CaMKIIα hub domain has proved to be a promising strategy for specific CaMKIIα modulation and future therapy. Through an structure-based virtual screening campaign, we herein identified 2-arylthiazole-4-carboxylic acids as a new class of high-affinity CaMKIIα hub ligands.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Geneis (Beijing) Co. Ltd., Beijing 100102, China.
Identification of potential drug-target interactions (DTIs) is a crucial step in drug discovery and repurposing. Although deep learning effectively deciphers DTIs, most deep learning-based methods represent drug features from only a single perspective. Moreover, the fusion method of drug and protein features needs further refinement.
View Article and Find Full Text PDFAnn Rheum Dis
January 2025
Rheumatology Center, Toulouse University Hospital, Toulouse, France.
Objectives: To compare two strategies-a hydrocortisone replacement strategy and a prednisone tapering strategy-for their success in glucocorticoid discontinuation in patients with rheumatoid arthritis (RA) with low disease activity (LDA).
Methods: The Strategies for glucocorticoid TApering in Rheumatoid arthritis (STAR) study was a double- blind, double-placebo randomised controlled trial including patients with RA receiving a stable dose of glucocorticoid 5 mg/day for ≥3 months and were in LDA for ≥3 months. Patients were randomly assigned in a 1:1 ratio to either replace prednisone with 20 mg/day of hydrocortisone for 3 months, then reduce to 10 mg/day for 3 months before discontinuation or to taper prednisone by 1 mg/day every month until complete discontinuation, contingent on maintaining LDA.
Ann Rheum Dis
January 2025
Division of Rheumatology, Department of Internal Medicine, Keio University School of Medicine, Tokyo, Japan. Electronic address:
Objectives: The usefulness of methotrexate-polyglutamates (MTX-PGs) concentration for management of rheumatoid arthritis has been debated. We aimed to clarify the association of MTX-PGs concentration with efficacy and safety in MTX-naïve patients initiating MTX in a prospective interventional clinical trial.
Methods: The MIRACLE trial enrolled 300 MTX-naïve patients.
Ann Rheum Dis
January 2025
Academic Department of Rheumatology, Kings College London, London, UK. Electronic address:
Multiple clinical trials for rheumatoid arthritis (RA) prevention have been completed. Here, we set out to report on the lessons learnt from these studies. Researchers who conducted RA prevention trials shared the background, rationale, approach and outcomes and evaluated the lessons learnt to inform the next generation of RA prevention trials.
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