지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
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초록· 키워드
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Health Insurance Review & Assessment Service (HIRA) claims database has a high potential to detect signals of new drug interactions. The aim of this study was to evaluate the usefulness of information component (IC) and relative risk (RR) as a tool for signal detection, and to analyze the possible drug interactions caused by clopidogrel using HIRA claims database. This study was performed in elderly patients over 65 years of age who administered clopidogrel from January 2005 to June 2006 in South Korea. Serious Adverse Events (SAEs) as drug interactions of clopidogrel were defined as any ambulatory hospitalization for ischemic diseases within comcomitant medication period of clopidogrel.
Information Component (IC) and Relative Risk (RR) were calculated to compare the proportion of drug-SAE pairs in order to select drug specific SAEs. IC and RR signals of clopidogrel drug interaction were screened when IC’s 95%confidence interval was greater than 0 and RR’s 95% confidence interval was greater than 1 respectively. All detected signals were compared to references such as Micromedex® and 2010 Drug Interaction Facts™. Sensitivity, specificity,positive predicted value and negative predicted value were used to evaluate usefulness of this method. Among 13,252,930 cases of elderly patients who co-administered clopidogrel and other drugs, 47,485 cases were detected as SAE. Of these, one-hundred nine cases were detected by the IC-based data-mining approach and ninety one cases were detected by the RR-based data-mining approach. Total One-hundred sixty three unrecognized signals were detected by IC or RR. Twelve signals from IC-based data-mining (57.1%) were corresponded with drug interactions from references and eight signals from RR-based data-mining (38.1%) were corresponded with drug interactions from references.
These signals include proton pump inhibitors, calcium channel blockers and HMG CoA reductase Inhibitors, which were known to affect CYP450 metabolism. Further studies using HIRA claims database are necessary to develope appropriate data-mining measure
목차
등록된 정보가 없습니다.
참고문헌 (19)
참고문헌 신청
Bate A / 1998 / A bayesian neural network method for adverse drug reaction signal generation / Eur J Clin Pharmacol 54 : 315 ~ 321
Choi N / 2010 / Signal detection of rosuvastatin compared to other statins: Datamining study using national health insurance claims database / Pharmacoepidemiol Drug Saf 19 (
Evans SJ / 2001 / Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports / Pharmacoepidemiol Drug Saf 10 : 483 ~ 48
Gilard M / 2008 / Influence of Omeprazole on the Antiplatelet Action of Clopidogrel Associated With Aspirin: The Randomized, Double-Blind Ocla (Omeprazole Clopidogrel Aspiri
Gould AL / 2003 / Practical pharmacovigilance analysis strategies / Pharmacoepidemiol Drug Saf 12 (7) : 559 ~ 574
Choi N / 2010 / Signal detection of rosuvastatin compared to other statins: Datamining study using national health insurance claims database / Pharmacoepidemiol Drug Saf 19 (
Evans SJ / 2001 / Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports / Pharmacoepidemiol Drug Saf 10 : 483 ~ 48
Gilard M / 2008 / Influence of Omeprazole on the Antiplatelet Action of Clopidogrel Associated With Aspirin: The Randomized, Double-Blind Ocla (Omeprazole Clopidogrel Aspiri
Gould AL / 2003 / Practical pharmacovigilance analysis strategies / Pharmacoepidemiol Drug Saf 12 (7) : 559 ~ 574
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