Abstract:
BACKGROUND AND OBJECTIVES:Schizophrenia is a severe public health problem and one of the top ten causes of disability, affecting about 1.1% of the world's population. Paliperidone is a new atypical antipsychotic used to treat schizophrenia. Several case reports about unexpected adverse drug reactions of paliperidone have been consistently reported around the world. The purpose of this study was to detect signals of adverse events (AEs) after paliperidone treatment using the Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System database (KIDS-KD). METHODS:We applied data-mining techniques based on a disproportionality analysis to KIDS-KD consisting of spontaneously reported AE reports related to atypical antipsychotics between January 2009 and December 2018. We calculated three data-mining indices of paliperidone compared to all other atypical antipsychotics. We defined signals that satisfied all three criteria of the indices. We checked if the signals identified were included in the drug labels for South Korea, the USA, the UK, Japan, Germany, and France. RESULTS:The total number of suspected AE reports related to all atypical antipsychotics in the KIDS-KD from January 2009 to December 2018 was 43,970. Among those, the number of AE reports related to paliperidone was 9453. Overall, 13 signals such as seborrhea, hallucination, obesity, gingivitis, and intervertebral disorder were classified into newly detected meaningful signals. CONCLUSION:We detected new AE signals of paliperidone that were not listed on the drug labels of six countries, and many that were related to psychotic symptoms, metabolic problems, and endocrine disorders.
journal_name
Clin Drug Investigjournal_title
Clinical drug investigationauthors
Seo DE,Kim S,Park BJdoi
10.1007/s40261-020-00945-zsubject
Has Abstractpub_date
2020-09-01 00:00:00pages
873-881issue
9eissn
1173-2563issn
1179-1918pii
10.1007/s40261-020-00945-zjournal_volume
40pub_type
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