<b>2. Comparison of the Onset Time Profile among the Interferon Formulations in Adverse Drug Reaction of Suicide- or Diabetes-Related</b> / 薬剤疫学

Japanese Adverse Drug Event Report database (Abbreviation; JADER) was disclosed April 2012 and will be expected to have a major role in the establishment of the adequate information for the proper usage of drugs. In this paper, we were compared using the shape parameters that were estimated by fitting the Weibull distribution, whether the adverse drug reaction of suicide- or diabetes-related onset time profiles vary depending on the type of interferon formulations. The data were used JADER of August 2013. The combined number of adverse drug reaction and drug that duplicates removed was 702,925. In diabetes-related side effects, the distribution of adverse drug reaction time was different among formulations. The shape parameters of the Weibull distribution are 1.49 (1.09-1.94), 0.84 (0.66-1.05) and 1.07 (0.92-1.23)(point estimates and two-sided 95% confidence interval) in interferon-α,-β and peginterferon, respectively. Interferon-α is categorized as the wear-out failure type adverse drug reaction onset time profile from which its 95% confidence interval exceeds 1. Peginterferon is classified as the random failures type from which its point estimates is almost 1. Since the upper 95% confidence interval is near 1, the time profile of interferon-β is close to the early failures type. We conclude that the combination of the shape parameter of the Weibull distribution and the visual inspection, like histogram and box plot, is useful in the monitoring of adverse drug reaction onset time profile.

<b>3. Evaluation of Drug Induced Severe Eruption Cases in the Japanese Adverse Drug Event Report Database and Commonality of the Reported Drugs</b> / 薬剤疫学

From April 2012, Japanese Adverse Drug Event Report database (JADER) has become downloadable for utilization in the public, under the specified acceptable use policy. Given the situation, we focused on the severe eruptions which cases are increased in the public Relief System for Sufferers from Adverse Drug Reactions, for the purpose to analyze the characteristics of typical severe eruptions and a trend or a commonality in the corresponding reported drugs, by utilizing JADER. Disproportionate reporting obtained with ROR (Reporting Odds Ratio) and distribution parameter estimations obtained with Weibull distribution fit for the onset time of drug adverse reactions, were applied for the analysis in addition to the summary of frequency. We obtained 10,171 cases of severe eruptions from JADER, after exclusion of duplicated reports. In the Drug Induced Hypersensitivity Syndrome (DIHS), which has characteristics in clinical time course and causal drugs, we confirmed that typical causal drugs such as anti-epilepsy are frequently reported in JADER. On the other hand, drugs other than typical causal drugs also showed high ROR signal values. In the estimation of Weibull distribution shape parameter fit for drug adverse reaction onset time, DIHS gave estimation apparently different from other severe eruptions. Coincide with the estimation, histogram of onset time for DIHS showed the peak at around 20 days after drug administration, which is later than other severe eruptions. We conclude that analytical approach to obtaining information from multiple aspects of JADER data should be a useful effort for the persons who are engaged in preventive action for drug adverse reactions.