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Drug-related problems (DRPs), i.e., adverse drug reactions (ADRs) and medication errors (MEs), constitute a serious threat to the patient's safety. DRPs are often insufficiently captured by clinical routine documentation, and thus, they frequently remain unaddressed. The aim of this study was to assess the coverage and usability of the new 11th revision of the WHO International Classification of Diseases (ICD-11) to document DRPs. We refined the 'Quality and Safety Algorithm' from the ICD-11 Reference Guide and used it for DRP reporting to code 100 different anonymized DRPs (50 ADRs and 50 MEs) in a German hospital. The ICD-11 three-part model consisting of harm, cause, and mode was used whenever they were applicable. Of 50 ADRs, 15 (30.0%), such as drug-induced osteoporosis, were fully classifiable and codable by the ICD-11, whereas 35 (70.0%), such as drug-induced hypokalaemia, could not be fully classified due to sanctioning rules preventing the postcoordination (i.e., a combination of specific codes, such as drug and diagnosis). However, coding without the loss of information was possible in the 35 of these 35 (100.0%) ADR cases when we were deviating from the cluster code order of the Reference Guide. In all 50 MEs, the mode could be encoded, but for none of the MEs, postcoordination, i.e., the assignment of the ME to a specific drug, was allowed. In conclusion, the ICD-11 three-part model enables us to acquire more detailed documentation of DRPs than the previous ICD versions did. However, the codability, documentation, and reporting of DRPs could be significantly improved by simple modifications of the current ICD-11 sanctioning rules and by the addition of new ICD-11 codes. [ABSTRACT FROM AUTHOR]

Endogenous biomarkers for transporter‐mediated drug‐drug interaction (DDI) predictions represent a promising approach to facilitate and improve conventional DDI investigations in clinical studies. This approach requires high sensitivity and specificity of biomarkers for the targets of interest (e.g., transport proteins), as well as rigorous characterization of their kinetics, which can be accomplished utilizing physiologically‐based pharmacokinetic (PBPK) modeling. Therefore, the objective of this study was to develop PBPK models of the endogenous organic cation transporter (OCT)2 and multidrug and toxin extrusion protein (MATE)1 substrates creatinine and N1‐methylnicotinamide (NMN). Additionally, this study aimed to predict kinetic changes of the biomarkers during administration of the OCT2 and MATE1 perpetrator drugs trimethoprim, pyrimethamine, and cimetidine. Whole‐body PBPK models of creatinine and NMN were developed utilizing studies investigating creatinine or NMN exogenous administration and endogenous synthesis. The newly developed models accurately describe and predict observed plasma concentration‐time profiles and urinary excretion of both biomarkers. Subsequently, models were coupled to the previously built and evaluated perpetrator models of trimethoprim, pyrimethamine, and cimetidine for interaction predictions. Increased creatinine plasma concentrations and decreased urinary excretion during the drug‐biomarker interactions with trimethoprim, pyrimethamine, and cimetidine were well‐described. An additional inhibition of NMN synthesis by trimethoprim and pyrimethamine was hypothesized, improving NMN plasma and urine interaction predictions. To summarize, whole‐body PBPK models of creatinine and NMN were built and evaluated to better assess creatinine and NMN kinetics while uncovering knowledge gaps for future research. The models can support investigations of renal transporter‐mediated DDIs during drug development. [ABSTRACT FROM AUTHOR]

P-glycoprotein is the product of the ABCB1 [also known as multidrug resistance 1 (MDR1)] gene. It translocates a broad variety of xenobiotics out of cells. P-glycoprotein was first described in tumor cells that were resistant to various anticancer agents as a result of P-glycoprotein overexpression. P-glycoprotein is not only expressed in tumor cells but also in a broad variety of normal tissues with excretory function (small intestine, liver and kidney) and at blood--tissue barriers (blood--brain barrier, blood--testis barrier and placenta). In particular, following the generation of P-glycoprotein-deficient mice it became clear that this efflux transporter limits the absorption of orally administered drugs, promotes drug elimination into bile and urine, and protects various tissues (e.g. brain, testis and fetus) from potentially toxic xenobiotics. In humans, a considerable interindividual variability in P-glycoprotein tissue expression is observed, and current research is focused on the potential role of ABCB1 polymorphisms and haplotypes that affect P-glycoprotein tissue expression, plasma concentrations of drugs, the frequency of adverse drug reactions and treatment outcome.