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Original article

소아 자발적부작용보고자료를 이용한 메틸페니데이트와 아토목세틴의 실마리정보검색

원문정보

Signal Detection of Methylphenidate and Atomoxetine for Pediatric Patients using the Korean Adverse Event Reports Database System

장은지, 최희윤, 안지혜, 양보람

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

INTRODUCTION Methylphenidate and atomoxetine are considered to be the first-line treatment for attention deficit hyperactivity disorder patients. This study was performed to detect signals of adverse drug events after methylphenidate or atomoxetine for pediatric patients using the Korea Adverse Events Reporting System (KAERS) database. METHOD Disproportionality analysis were used to perform the data mining for methylphenidate and atomoxetine separately using KAERS database between 2015 and 2019. Three indices of proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC) were calculated to detect signals, and signals not listed in the drug label of Korea were identified. RESULTS Among 61,808 spontaneous AEs reports, 196 reports contained methylphenidate, and 80 reports contained atomoxetine. The most common AEs were anorexia and nausea for methylphenidate and somnolence and nausea for atomoxetine. Among 51 signals of methylphenidate, 13 AEs were not listed on the drug label. For atomoxetine, 13 AEs of 32 signals were not currently included in the drug label. CONCLUSION We detected new AE signals of methylphenidate and atomoxetine that were not listed on the drug labels of Korea. To evaluate the causal association of signals, well-designed pharmacoepidemiologic research is needed.

목차

Abstract
서론
연구방법
1. 연구자료 및 연구대상약물
2. 메틸페니데이트와 아토목세틴의 보고건 특성 및 다빈도유해사례 분석
3. 데이터마이닝 기법을 적용한 실마리정보 검색 및 통계분석
연구결과
고찰 및 결론
감사의 말씀
참고문헌

저자정보

  • 장은지 Eun Ji Jang. 충남대학교 약학대학
  • 최희윤 Hee Yoon Choi. 충남대학교 약학대학
  • 안지혜 Ji Hye Ahn. 충남대학교 약학대학
  • 양보람 Bo Ram Yang. 충남대학교 약학대학

참고문헌

자료제공 : 네이버학술정보

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