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KMID : 0941820140240010039
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Korean Journal of Clinical Pharmacy
2014 Volume.24 No. 1 p.39 ~ p.44
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Study for Association between Adverse Drug Reactions and Causative Drugs in the Elderly Using Data-mining Analy
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Lee Mee-Woo
Lee Jeong-Seon
Han Ok-Youn
Choi In-Young
Jeong Seung-Hee
Yim Hyeon-Woo
Lee Dong-Gun
La Hyen-O
Park Young-Min
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Abstract
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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.
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KEYWORD
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Adverse drug reaction, Data-mining, Elderly
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