Objective: To study the impact of tumour necrosis factor-α inhibitor (TNFi) therapy on the use of non-steroidal anti inflammatory drugs (NSAIDs) in patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), and axial spondyloarthritis (axSpA) in Iceland.
Method: This registry cohort study used data from the nationwide database on biologics in Iceland (ICEBIO) and the Icelandic Prescription Medicines Register on disease activity, and filled prescriptions for NSAIDs, to study the period from 2 years before to 2 years after initiation of a first TNFi. Five randomly selected individuals from the general population matched on age, sex, and calendar time for each patient served as comparators.
Natural selection can only operate on available genetic variation. Thus, determining the probability of accessing different sequence variants from a starting sequence can help predict evolutionary trajectories and outcomes. We define the concept of "variant accessibility" as the probability that a set of genotypes encoding a particular protein function will arise through mutations before subject to natural selection.
View Article and Find Full Text PDFObjective: The objective of this study was to investigate the effect of tumor necrosis factor α inhibitor (TNFi) initiation on the use of antimicrobials among biologic-naïve patients with rheumatoid arthritis (RA).
Methods: Information on all biologic-naïve patients with RA was extracted from ICEBIO, a nationwide registry. Each patient was matched on age, sex, and calendar time to five randomly selected individuals from the general population.
Aim: Vancomycin is frequently used in paediatric hospitals. Data suggest trough levels of 10-20 mg/L are needed to achieve bacterial killing. This study aimed to evaluate if commonly used dosing regimens are efficient in reaching these levels and if therapeutic drug monitoring (TDM) was appropriately used.
View Article and Find Full Text PDFThrough respiration and photosynthesis, seagrass meadows contribute greatly to carbon and oxygen fluxes in shallow coastal waters. There is increasing concern about how shallow-water primary producers will react to a near-future climate scenario with increased temperature variation. When modelling primary productivity under high temperature variability, Q10 values are commonly used to predict rate changes depending on biophysical factors.
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