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검색결과 81건 처리시간 0.018초

데이터마이닝 분석을 이용한 노인약물유해반응과 원인약물의 연관성연구 (Study for Association between Adverse Drug Reactions and Causative Drugs in the Elderly Using Data-mining Analysis)

  • 이미우;이정선;한옥연;최인영;정승희;임현우;이동건;나현오;박영민
    • 한국임상약학회지
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    • 제24권1호
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    • pp.39-44
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    • 2014
  • Purpose: To investigate adverse drug reactions (ADR) and causative drugs in the elderly 65 years of age or older, using Korean spontaneous reporting adverse events reporting database from June 2009 to December 2010. Methods: We estimated the association between ADRs and implicated medications by calculating a proportional reporting ratio (PRR), reporting odds ratio (ROR), and information component (IC). We reexamined the most frequently implicated medications and ADRs, and the seriousness of ADRs. Then, we assessed reports and concordant rate of ADRs due to medications designated as "high-risk" in elderly by 2012 healthcare effectiveness data and information set (HEDIS) or "potentially inappropriate" by 2012 American Geriatrics Society updated Beers criteria for potentially inappropriate medications (PIMs). Results: Among 15,484 elderly reports, data-mining analysis by PRR, ROR and IC showed that 421 drug-ADR pairs were detected as signals (3,189). The most frequently reported ADR and causative drug were urticaria (470) and contrast media agents (647), respectively. One hundred eighty nine ADR cases were graded as serious. Twenty-two kinds of high-risk medications were shown to be implicated in only 0.9% of ADRs. Only thirty-nine cases were consistent with 2012 Beers criteria or HEDIS. Conclusion: These results suggest that management of the other medications including contrast media agents as well as close monitoring of PIMs are necessary for reducing ADRs in the elderly.