Search

Background: An increasing number of reports indicates that vaccines against influenza may interact with specific drugs via drug metabolism. To date, actual impact of vaccine-drug interactions observed in the real world clinical practice has not been investigated. Methods: From VAERS and VigiBase, we collected Adverse Event Following Immunization (AEFI) reports for individuals receiving vaccines against influenza recorded as suspect and selected cases where predictable toxicity was recorded with oral anticoagulants, antiepileptics and statins (i.e. hemorrhages, overdosage and rhabdomyolysis, respectively). We applied AEFI and Drug Interaction Probability Scale (DIPS) Algorithms to assess causality of drug-vaccine interactions. Results: 116 AEFI reports submitted to VAERS and 83 from Vigibase were included in our analysis; antiepileptics and statins were related to the highest number of indeterminate/consistent (93.7%; 65.3%) and possible/probable (50%; 57.7%) cases according to the AEFI and DIPS, respectively. The majority of cases occurred within the first week after vaccine administration (5–7 days). Conclusion: The relative paucity of detected interactions does not impact on the benefit of the vaccination against influenza, which remains strongly recommended; this does not exclude that closer monitoring for selected patients exposed to concomitant chronic pharmacological therapies and affected by predisposing factors may be useful.

Recent epidemiological studies have reported an increase in central nervous system (CNS)-active drug abuse rates in paediatric settings, raising several public health concerns. No study to date has explored this issue worldwide. We performed an extensive analysis of drugs abuse/overdose reported for children in the last decade by using the largest pharmacovigilance database, i.e. the VigiBase, collecting adverse drug reaction reports that involved at least one suspect drug belonging to the Anatomical Therapeutic Chemical code "Nervous System" through the Standardised Medical Dictionary for Drug Regulatory Affairs Queries for Drug abuse. 8.682 reports matched our criteria. An increase in reporting activity was observed, starting from 2014; an intentional overdose was reported more frequently than an accidental one, with a difference between age groups. We retrieved 997 reports with death outcome. These referred more to adolescents (n = 538) than subjects of any other paediatric age group. Paracetamol and opioid analgesics were the most common suspect drugs in deaths across all age groups due to hypoxic-ischaemic encephalopathy, brain death, and cardio-respiratory arrest.Conclusion: The number of reports associated with drug abuse and overdose is increasing (for opioid and paracetamol-containing products) and a considerable number of adverse drug reactions are serious. Data on the patterns of use of such medicines from each country may help in implementing strategies of risk-minimisation and renewing healthcare recommendations worldwide. An increased clinical awareness of drug abuse and overdose is warranted, while continuing to provide effective treatments. What is Known: • The large increase in paediatric prescriptions for CNS-active drugs in the last 20 years has recently raised public health concerns about drug abuse and overdose. • No study to date has examined this issue in paediatric patients worldwide. What is New: • The number of paediatric reports associated with CNS drug abuse and intentional overdose is increasing, including those with fatal outcome; over 4 years; more than 35% of the reports was entered from European countries. • Opioid and paracetamol were most frequently suspected for ADRs with fatal outcome across all age groups, due to hypoxic-ischaemic encephalopathy and cardio-respiratory arrest, suggesting the need to implement strategies of risk-minimisation. [ABSTRACT FROM AUTHOR]

Background: An increasing number of reports indicates that vaccines against influenza may interact with specific drugs via drug metabolism. To date, actual impact of vaccine-drug interactions observed in the real world clinical practice has not been investigated. Methods: From VAERS and VigiBase, we collected Adverse Event Following Immunization (AEFI) reports for individuals receiving vaccines against influenza recorded as suspect and selected cases where predictable toxicity was recorded with oral anticoagulants, antiepileptics and statins (i.e. hemorrhages, overdosage and rhabdomyolysis, respectively). We applied AEFI and Drug Interaction Probability Scale (DIPS) Algorithms to assess causality of drug-vaccine interactions. Results: 116 AEFI reports submitted to VAERS and 83 from Vigibase were included in our analysis; antiepileptics and statins were related to the highest number of indeterminate/consistent (93.7%; 65.3%) and possible/probable (50%; 57.7%) cases according to the AEFI and DIPS, respectively. The majority of cases occurred within the first week after vaccine administration (5-7 days). Conclusion: The relative paucity of detected interactions does not impact on the benefit of the vaccination against influenza, which remains strongly recommended; this does not exclude that closer monitoring for selected patients exposed to concomitant chronic pharmacological therapies and affected by predisposing factors may be useful. [ABSTRACT FROM AUTHOR]

Background: Numerous drugs have been associated with urinary retention (UR), but updated information on drugs that may induce UR is limited., Objective: To evaluate drug-induced UR using the Italian spontaneous adverse drug reactions (ADRs) reporting database., Design, Setting, and Participants: We selected all suspected spontaneous reports of drug-induced UR collected into the Italian spontaneous reporting system (SRS) database from its inception to June 30, 2019., Outcome Measurements and Statistical Analysis: The Mantel-Haenszel χ 2 test and the Mann-Whitney U test were performed for statistical comparisons of categorical and continuous variables, respectively. As a measure of disproportionality, we calculated the reporting odds ratios (RORs) with corresponding 95% confidence intervals using a statistical case/noncase methodology., Results and Limitations: A total of 506 383 ADR reports were received in the Italian SRS database during the study period. Of these, 421 reports (0.1%) included UR-related ADRs, for a total of 497 suspected drugs. The median (interquartile range [IQR]) age of patients experiencing UR was 67 (47-77) yr. Overall, 174 (41.3%) ADR reports were considered serious. One-third of male patients experiencing UR suffered from benign prostatic hyperplasia, followed by diabetes mellitus (N = 58, 13.8%), and bladder-related disorders (N = 21, 5.0%). The median lag time between the start of drug treatment and UR onset was 7 (IQR 1-47.5) d. Overall, a statistically significant ROR was reported for 39 individual drugs, and for five (12.8%) of them (dapagliflozin, gabapentin, lithium, celecoxib, and piroxicam) UR was not described in their summary of product characteristics. Limitations include under-reporting and selective over-reporting of suspected ADRs and lacking information on the number of drug users., Conclusions: A disproportionality analysis identified five potentially new UR signals for dapagliflozin, gabapentin, lithium, celecoxib, and piroxicam, requiring further evaluation., Patient Summary: In this analysis of the Italian spontaneous reporting system database, we found new urinary retention signals, requiring further evaluation, for dapagliflozin, gabapentin, lithium, celecoxib, and piroxicam., (Copyright © 2021 European Association of Urology. Published by Elsevier B.V. All rights reserved.)