Novel Adverse Events of Iloperidone: A Disproportionality Analysis in US Food and Drug Administration Adverse Event Reporting System (FAERS) Database
| Autor: | Viswam Subeesh, Ann Mary Swaroop, Thomas Elsa Beulah, Hemendra Singh, E Maheswari |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Databases
Factual Drug-Related Side Effects and Adverse Reactions Toxicology Akathisia computer.software_genre 030226 pharmacology & pharmacy 03 medical and health sciences Adverse Event Reporting System Iloperidone 0302 clinical medicine Piperidines Pharmacovigilance Adverse Drug Reaction Reporting Systems Humans Medicine Pharmacology (medical) Adverse effect Event (probability theory) Pharmacology Database United States Food and Drug Administration business.industry Isoxazoles Odds ratio United States Clinical trial medicine.symptom business computer 030217 neurology & neurosurgery Akathisia Drug-Induced Antipsychotic Agents medicine.drug |
| Zdroj: | Current Drug Safety. 14:21-26 |
| ISSN: | 1574-8863 |
| Popis: | Background: The signal is defined as “reported information on a possible causal relationship between an adverse event and a drug, of which the relationship is unknown or incompletely documented previously”. Objective: To detect novel adverse events of iloperidone by disproportionality analysis in FDA database of Adverse Event Reporting System (FAERS) using Data Mining Algorithms (DMAs). Methodology: The US FAERS database consists of 1028 iloperidone associated Drug Event Combinations (DECs) which were reported from 2010 Q1 to 2016 Q3. We consider DECs for disproportionality analysis only if a minimum of ten reports are present in database for the given adverse event and which were not detected earlier (in clinical trials). Two data mining algorithms, namely, Reporting Odds Ratio (ROR) and Information Component (IC) were applied retrospectively in the aforementioned time period. A value of ROR-1.96SE>1 and IC- 2SD>0 were considered as the threshold for positive signal. Results: The mean age of the patients of iloperidone associated events was found to be 44years [95% CI: 36-51], nevertheless age was not mentioned in twenty-one reports. The data mining algorithms exhibited positive signal for akathisia (ROR-1.96SE=43.15, IC-2SD=2.99), dyskinesia (21.24, 3.06), peripheral oedema (6.67,1.08), priapism (425.7,9.09) and sexual dysfunction (26.6-1.5) upon analysis as those were well above the pre-set threshold. Conclusion: Iloperidone associated five potential signals were generated by data mining in the FDA AERS database. The result requires an integration of further clinical surveillance for the quantification and validation of possible risks for the adverse events reported of iloperidone. |
| Databáze: | OpenAIRE |
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