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Original Article

의약품부작용보고시스템을 이용한 메토클로프라미드의 이상사례 실마리정보 도출

원문정보

Signal Detection of Adverse Event of Metoclopramide in Korea Adverse Event Reporting System (KAERS)

장민교, 이영화, 정현숙, 신광희

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Background: This study was aimed to identify the safety signals of metoclopramide in Korea Adverse Event Reporting System (KAERS) database by proportionality analysis methods. Methods: The study was conducted using Korea Institute of Drug Safety and Risk Management-Korea Adverse Event Reporting System Database (KIDS-KD) reported from January 2013 to December 2017 through KAERS. Signals of metoclopramide that satisfied the data-mining indices of proportional reporting ratio (PRR), reporting odds ratio (ROR) and information component (IC) were defined. The detected signals were checked whether they included in drug labels in the Ministry of Food and Drug Safety (MFDS), U.S. Food and Drug Administration (FDA) and Micromedex®. Results: A total number of drug AE reports associated with all drugs of data in this study was 2,665,429. Among them, the number of AE reports associated with metoclopramide was 22,583. Forty-two meaningful signals of metoclopramide were detected that satisfied with the criteria of data-mining indicies. Especially neurological signals including extrapyramidal reactions, represented in the safety letter of regulatory agencies were identified in this study. Conclusion: Neurological signals of metoclopramide including extrapyramidal reactions were detected. It is believed that this search for signals can contribute to ensuring safety in the use of metoclopramide.

목차

ABSTRACT
방법
1. 자료원 및 연구약제
2. 이상사례의 정의
3. 데이터 마이닝 방법을 활용한 실마리정보 탐색
4. 통계 분석
결과
1. 연구대상자의 인구학적 및 임상적 특성
2. Metoclopramide의 실마리정보
고찰
이해상충
감사의 말씀
참고문헌

저자정보

  • 장민교 Min-Gyo Jang. 경북대학교 약학대학, 약학연구소
  • 이영화 Yeonghwa Lee. 경북대학교 약학대학, 약학연구소
  • 정현숙 Hyunsuk Jeong. 경북대학교 약학대학, 약학연구소
  • 신광희 Kwang-Hee Shin. 경북대학교 약학대학, 약학연구소

참고문헌

자료제공 : 네이버학술정보

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