Drug interactions and pharmacogenetic differences may lead to therapeutic failure or serious side effects of opioid analgesics. Many interactions involve combinations with antidepressants and antiepileptics, which are highly relevant drugs in patients suffering from pain. To prevent unfavourable drug interactions it is important that clinicians pay close attention and use electronic drug interaction checkers when treatments are initiated or discontinued. For the management of issues related to pharmacogenetic differences, blood-based CYP genotyping is available as routine test at many laboratories, and provide a valuable tool for proper choice of drugs and doses for treatment of pain and other diseases.
WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT • Bleeding is the main adverse drug reaction of warfarin use. • Several medicines, herbal products and dietary supplements may interact with warfarin. • A high percentage of patients on warfarin receive potentially interacting substances. WHAT THIS STUDY ADDS • Potentially interacting medicines were used in more than 50% of the warfarin‐associated bleeding events reported to the Norwegian spontaneous reporting system. • Only a minority of the concomitant medicines were reported as suspected or interacting in the reporters' assessments. • There was a higher degree of under‐reporting of pharmacokinetically than of pharmacodynamically interacting medicines. AIMS To study warfarin associated bleeding events reported to the Norwegian spontaneous reporting system and evaluate the differences in assessment of potentially interacting medicines between reporters and evaluators. METHODS Data on bleeding events on warfarin were retrieved from the Norwegian spontaneous reporting system database. Key measurements were time to bleeding, use of concomitant medications and the evaluation done by reporters. RESULTS In 289 case reports a total of 1261 medicines (median 4.0 per patient, range 1–17) was used. The evaluators (authors of this article) identified 546 medicines including warfarin (median 2.0 per patient, range 1–7) that could possibly cause bleeding alone or in combination. Reporters assessed 349 medicines (median 1.0 per patient, range 1–4) as suspect. Evaluators identified 156 pharmacokinetic and 101 pharmacodynamic interactions, compared with 19 pharmacokinetic and 56 pharmacodynamic interactions reported as suspected by the reporters. Time to bleeding was stated in 224 reports. Among the early bleeding events, the reports on warfarin without interacting medicines showed the highest INR (international normalized ratio). Heparin was used in 17/21 reported bleeding events during the first week on warfarin. Among the late bleeding events, reports with pharmacokinetic interacting medicines had the highest INR. CONCLUSIONS Concomitant use of potentially interacting medicines was involved in the majority of the warfarin‐associated bleeding events reported to the Norwegian spontaneous reporting system. Reporters assessed mostly warfarin as the only contributor to bleeding. In particular, pharmacokinetically interacting medicines were not suspected as contributing to bleeding.
To investigate the impact of cytochrome P450 2D6 (CYP2D6) on dose-adjusted serum concentrations of flupentixol, haloperidol, perphenazine and zuclopenthixol in a therapeutic drug monitoring (TDM) cohort of psychiatric patients. We also studied the functional impact of CYP2D6*41 on dose-adjusted serum concentrations in the perphenazine-treated patients. Methods: Serum concentrations of flupentixol, haloperidol, perphenazine and zuclopenthixol from CYP-genotyped patients were extracted retrospectively from a routine TDM database in the period March 2005 to May 2019. Samples were divided into three CYP2D6 phenotype subgroups according to genotype; normal metabolizers (NMs), intermediate metabolizers (IMs) and poor metabolizers (PMs).The effect of CYP2D6 phenotype on dose-adjusted serum concentrations of the four antipsychotics was evaluated by multivariable mixed model analyses.Results: Mean dose-adjusted serum concentrations of perphenazine (564 samples) were 3.9-fold and 1.6-fold higher in CYP2D6 PMs and IMs, respectively, compared with NMs (P < .001 and P < .01). For zuclopenthixol (658 samples), mean doseadjusted serum concentrations were about 1.5-fold and 1.3-fold higher in CYP2D6 PMs and IMs, respectively, compared with NMs (P < .01 and P < .001). CYP2D6 was of minor or no importance to haloperidol (320 samples) and flupentixol (115 samples).In our data material, the genotype CYP2D6 *1/*41 appears to have a similar impact on dose-adjusted serum concentrations of perphenazine as *1/null (null = variant allele encoding no enzyme function).Conclusions: This study shows that CYP2D6 is important for the metabolism of perphenazine and zuclopenthixol, but not for haloperidol and flupentixol. The CYP2D6*41 allele appears to have a reduced function close to nonfunctional variant alleles.
Non-warfarin-associated bleeding events are associated with substantial mortality. Old age, cerebral bleeds, number of drugs used, and use of fibrinolytics are all independently associated with increased mortality. The recognition of the bleeding risk of commonly used drugs such as acetylsalicylic acid and heparins may be insufficient among prescribers.
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