Evaluation of notifications of adverse drug events of a hospital of Picos - Piauí
Avaliação das notificações de eventos adversos a medicamentos de um hospital de Picos - Piauí
Keywords:
Farmacovigilância. Toxicidade de Drogas. Algoritmos.Abstract
Objectives: to evaluate the drugs involved in adverse events reported through the National Notification System for Health Surveillance by professionals in regional hospital in Picos-PI; report a case of notification; and demonstrate the importance of use farmacoepidemiological’s tools (Naranjo’s Algorithm).
Methods: a descriptive and documentary study that monitored the notifications of adverse drug events performed in the hospital from January 2009 to September 2011. The data were analyzed, and the drugs that promoted more notifications quantified. Through the χ² test for association was determined the relationship between the three drugs with more notifications and reported adverse events for each. Reported a case of the drug with the highest number of notifications and used the Naranjo Algorithm to confirm the adverse event case.
Results: carbamazepine (14,81%), diazepam (11,11%) and fluoxetine (9,26%) were the drugs most frequently of notifications. Drowsiness (11%), diarrhea (6%), headache (5%), insomnia (5%) and vomiting (5%) were the most common reactions. Of the 54 notifications analyzed by the National Health Surveillance Agency, all were considered adverse reactions. In the specific case study, the patient had been prescribed carbamazepine and clonazepam had pruritus, edema and skin thickening. According to the evaluation of Agency, possibly carbamazepine was responsible for the adverse reaction (reaction type B/ unexpected). Using the Naranjo algorithm confirmed the possibility (according to causality) of the adverse reaction.
Conclusion: the notification exercise of any suspected adverse drug events should be emphasized as an important tool in pharmacovigilance, necessitating more active and integrated participation by professionals. In the specific case reported, it is clear that the use of algorithms helps in the practice of pharmacovigilance.
Descriptors: Pharmacovigilance. Drug Toxicity. Algorithms.
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