Analysis of spontaneous reporting of suspected adverse drug reactions for non-analgesic over-the-counter drugs from 2008 to 2017.

BACKGROUND: Adverse drug reaction (ADR) reporting practices by health care professionals remain poor. Over-the-counter (OTC) drugs are perceived as safe; however, they can also cause ADRs. The objective of this study was to analyze ADR reporting for OTC drugs in a 10-year period, in order to evaluate frequency of ADRs, population that ADRs most affect and reporters of ADRs of OTC drugs in Croatia. METHODS: Spontaneously reported ADRs of non-analgesic OTC drugs, collected from January 2008 to December 2017 were analyzed. Data was obtained from Agency for Medicinal Products and Medical Devices of Croatia (HALMED). RESULTS: There were 547 ADRs of OTC drugs reported in total and an increase in number of reports through the years was observed. Pharmacists reported 45.4% of all ADRs, and were most frequent reporters (p < 0.001). In 2017 majority of reports, 62 (49.2%), were obtained from consumers. ADRs were most frequently observed in patients aged 70 years and older (15% of ADRs). Five percent of all reports were accidental exposures among children. CONCLUSIONS: Pharmacists most frequently reported ADRs of OTC drugs and consumers' awareness of ADR reporting has risen. Other health care professionals (e.g., nurses and dentists) must be offered proper education in order to improve reporting practice of ADRs. Health care professionals should address concerns about OTC drug safety in elderly and children.

Characteristics, Quality and Contribution to Signal Detection of Spontaneous Reports of Adverse Drug Reactions Via the WEB-RADR Mobile Application: A Descriptive Cross-Sectional Study.

INTRODUCTION: Spontaneous reporting of suspected adverse drug reactions is key for efficient post-marketing safety surveillance. To increase usability and accessibility of reporting tools, the Web-Recognising Adverse Drug Reactions (WEB-RADR) consortium developed a smartphone application (app) based on a simplified reporting form. OBJECTIVE: The objective of this study was to evaluate the characteristics, quality and contribution to signals of reports submitted via the WEB-RADR app. METHODS: The app was launched in the UK, the Netherlands and Croatia between July 2015 and May 2016. Spontaneous reports submitted until September 2016 with a single reporter were included. For each country, app reports and reports received through conventional means in the same time period were compared to identify characteristic features. A random subset of reports was assessed for clinical quality and completeness. The contribution to signal detection was assessed by a descriptive analysis. RESULTS: Higher proportions of app reports were submitted by patients in the UK (28 vs. 18%) and Croatia (32 vs. 7%); both p < 0.01. In the Netherlands, the difference was small (60 vs. 57%; p = 0.5). The proportion of female patients and the median patient ages in app reports submitted by patients were similar to the reference. The proportion of reports of at least moderate quality was high in both samples (app: 78-85%, reference: 78-98%), for all countries. App reports contributed to detecting eight potential safety signals at the national level, four of which were eventually signalled. CONCLUSION: The WEB-RADR app offers a new route of spontaneous reporting that shows promise in attracting reports from patients and that could become an important tool in the future. Patient demographics are similar to conventional routes, report quality is sufficient despite a simplified reporting form, and app reports show potential in contributing to signal detection.

Genetic polymorphisms of cytochrome P450 enzymes: CYP2C9, CYP2C19, CYP2D6, CYP3A4, and CYP3A5 in the Croatian population.

BACKGROUND: Data on the frequency of pharmacogenetic polymorphisms in the Croatian population are limited. We determined and analyzed frequencies for the most important CYP2C9, CYP2C19, CYP2D6, CYP3A4, and CYP3A5 genetic variants in the Croatian population. METHODS: 2637 subjects were included. Genotyping was performed by real-time polymerase chain reaction (PCR) using TaqMan® DME or TaqMan® SNP Genotyping Assays, and by PCR, and PCR-RFLP analysis. RESULTS: For CYP2C9, allele frequencies of *2 and *3 variant were 14.5% and 7.6%, respectively. Among them, 3.98% of subjects were predicted to be poor metabolizers. For CYP2C19, the most frequent variant alleles were *2 (14.8%), and *17 (23.7%), while 2.4% of subjects were predicted to be poor metabolizers, and 5.39% were homozygous carriers of *17 predicted to be ultrarapid metabolizers (UM). For CYP2D6, the frequencies of tested variant alleles were *3 (2.2%), *4 (17.4%), *5 (1%), *6 (1.1%), and *41 (10.8%). Out of these, 5.59% were predicted to be poor metabolizers, 3.19% were classified as UM while 1.0% were carriers of variant alleles duplications (undefined phenotype). For CYP3A4 allele frequencies of *1B and *22 variants were 1.4% and 2.7%, respectively. Allele frequency of CYP3A5*3 was 95.5%. Analyzing CYP3A cluster according to the combination of CYP3A4*22 and CYP3A5*3 revealed 5.34% of subjects to be poor metabolizers, while 8.66% were classified as extensive metabolizers. CONCLUSIONS: The frequency of the CYP allelic variants, genotypes, and predicted phenotypes in the Croatian population is in accordance with the other European populations, between the values of published data for Middle European and Mediterranean populations.