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Adverse drug reactions (ADR) account for 5 to 7% of emergency department (ED) consultations. We aimed to assess medication risk profiles for ADRs leading to ED visits. We analysed medication intake and patient demographics in a prospective multi-centre observational study collecting ADR cases in four large EDs in Germany. Odds ratios (OR) were calculated to relate drug classes taken to those suspicious for an ADR after a causality assessment. A total of 2215 cases of ED visits due to ADRs were collected. The median age of the cohort was 73 years; in median, six co-morbidities and an intake of seven drugs were documented. Antineoplastic/immunomodulating agents had the highest OR for being suspected for an ADR (OR 20.45, 95% CI 14.54–28.77), followed by antithrombotics (OR 2.94, 95% CI 2.49–3.47), antibiotics (OR 2.65, 95% CI 1.78–3.95), systemic glucocorticoids (OR 2.43, 95% CI 1.54–3.82) and drugs affecting the central nervous system (CNS), such as antipsychotics (OR 2.36, 95% CI 1.46–3.81), antidepressants (OR 2.10, 95% CI 1.57–2.83), antiparkinsonian medication (OR 2.11, 95% CI 1.15–3.84), opioids (OR 1.79, 95% CI 1.26–2.54) and non-opioid analgesics (OR 1.32, 95% CI 1.01–1.72). Patients experiencing ADRs leading to ED visits are commonly old, multi-morbid and multi-medicated. CNS drugs may be more relevant than prior expected. With calculating ORs, we could replicate involvement of antineoplastic agents, antithrombotics, antibiotics, systemic glucocorticoids and non-opioid analgesics as frequently suspected for ADRs in EDs. DRKS-ID: DRKS00008979.

Purpose Due to the diversity within Europe, the implementation of pharmacogenomic testing in clinical practice faces specific challenges. In the context of the European pharmacogenomics implementation project “Ubiquitous Pharmacogenomics” (U-PGx; funded by the European Commission), we studied the current educational background. Methods We developed a questionnaire including 29 questions. It was spread out to healthcare professionals working at the future implementation sites (in Austria, Greece, Italy, Netherlands, Slovenia, Spain and Great Britain) of the U-PGx project in preparation of an educational programme. Aim of the survey was to analyse the current educational situation at the implementation sites. Results In total, 70 healthcare professionals participated in the survey. Of participants, 84.3% found pharmacogenomics relevant to their current practice, but experience was still rare. More than two-thirds (65.7%) did not order nor recommend a pharmacogenomic test in the past year. This was mainly attributed to not having enough knowledge on pharmacogenomics (40.0%). Needs were identified in application of pharmacogenomics (identifying drugs 41.4%, interpreting test results 37.2%) as well as in underlining mechanisms (better knowledge on drug metabolism 67.1%, better knowledge on basic principles of pharmacogenomics 60.0%). Conclusions This study analysed the specific attitudes, experience and education on pharmacogenomics of future users. There was a general positive attitude and interest towards pharmacogenomic testing. However, the grade of own experience, and knowledge about application and interpretation of pharmacogenomics caused uncertainty. Thus, education and training programmes may be helpful for implementation of pharmacogenomics at a homogenous level within Europe. Electronic supplementary material The online version of this article (doi:10.1007/s00228-017-2292-5) contains supplementary material, which is available to authorized users.

The established risk factors for severe sulfonylurea-induced hypoglycemia (SH) include low hemoglobin (Hb)A(1c), advanced age, long duration of diabetes, multimorbidity, and polypharmacy. As the genetically polymorphic cytochrome P450 (CYP), enzyme CYP2C9 is mainly responsible for the hepatic metabolism of sulfonylureas (SUs), we hypothesized that the slow-metabolizer genotypes *2/*2, *2/*3, and *3/*3 might be overrepresented in type 2 diabetic patients with SH.In a prospective population-based case-control study, CYP2C9 allelic variants of 102 diabetic patients with SH were compared with a matched group of 101 SU-treated patients without a history of SH. The 203 Caucasian patients had been treated with the SUs glimepiride, glibenclamide, or gliquidone. SH was defined as a symptomatic event requiring treatment with intravenously administered glucose and was confirmed by a blood glucose measurement of50 mg/dl (2.8 mmol/l). As two control groups, we selected 337 Caucasian diabetic patients receiving antidiabetic drugs per os and 1,988 healthy Caucasian volunteers who had been genotyped earlier.In the univariate analysis, only a low HbA(1c) value (p = 0.0004) was shown as a risk factor for SH. There was no overrepresentation of the CYP2C9 *2/*2, *2/*3, and *3/*3 variants in the SH group (2%) compared with the control group (5%). However, in the control group, patients with CYP2C9 genotypes, predicting slower metabolism of SU drugs, were treated with significantly lower doses (p = 0.027) than were extensive metabolizers, whereas in the patient group with severe hypoglycemia, the dose was the same for all genotype groups.In the present cohort of 102 patients with SH, a low HbA(1c) value was related to the risk for SH. There was no overrepresentation observed of the CYP2C9 slow-metabolizer genotypes in the hypoglycemic patients group, but the drug exposure in the slow-metabolizer genotypes was estimated to be higher in hypoglycemic patients, which might partly have contributed to their risk for SH.