• Korean Journal of Clinical Pharmacy
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• v.21 no.2
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• pp.90-99
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• 2011

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 $Micromedex^{(R)}$ and 2010 Drug Interaction $Facts^{TM}$. 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 develop appropriate data-mining measure.

• Journal of the Korean Society of Food Science and Nutrition
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• v.36 no.6
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• pp.708-719
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• 2007

Glutathione S-transferase genotypes GSTT1, GSTM1 and GSTP1 were characterized in 104 healthy male and female subjects and compared with parameters of oxidative stress at the level of DNA and lipids, with antioxidant enzymes, and with plasma antioxidants in smokers and non.smokers. Of the 104 subjects studied, 57.4% were GSTT1 present and 47.6% were GSTM1 present. The GSTP1 polymorphisms a and b were represented as follows: a/a, 75.5%; a/b, 21.6%; b/b type, 2.9%. The GSTT1 null genotype was associated with decreased glutathione in erythrocytes and elevated lymphocytes DNA damage. GST-Px was higher in GSTT1 null compared with GSTT1 present type. The homozygous GSTP1 genotype was not associated with any antioxidant status or DNA damage. The difference in plasma ${\alpha}$-carotene and erythrocytes GSH-Px and GST activities between smokers and non-smokers was detected in the GSTT1 null genotype. Plasma ${\gamma}$-tocopherol and ${\beta}$-carotene decreased significantly in smokers having GSTM1 null genotype. When GSTT1 and GSTM1 were combined, plasma lycopene and erythrocyte GST were reduced in smokers in both null types of these genes. As for GSTP1 genotype, plasma ${\alpha}$-carotene and erythrocytes GSH-Px decreased significantly in smokers with GSTP1 b/b, while erythrocytes GSH-Px activities decreased in smokers with GSTP1 a/b. The different ${\beta}$-carotene level between smokers and non-smokers was seen with both GSTP1 a/a and a/b genotype. It seems that polymorphisms in the phase II metabolizing enzyme glutathione S-transferase may be important determinants of commonly measured biomarkers.