Japanese Journal of Drug Informatics
Online ISSN : 1883-423X
Print ISSN : 1345-1464
ISSN-L : 1345-1464
Original artcle
Evaluation of Factors Influencing Addition of Clinically Significant Adverse Reactions Section in Drug Package Inserts
Yukiya SuzukiTatsuo KishiMitsuhiro NakamuraHiroaki Yamada
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JOURNAL FREE ACCESS

2017 Volume 19 Issue 1 Pages 17-23

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Abstract

Objective: The aim of this study was to analyze the factors influencing the addition of clinically significant adverse reactions (CSDR) section in drug package inserts in Japan.
Methods: The summaries of investigation results from August 2011 to July 2014 were evaluated.  The revisions were classified into revisions based only on case reports from Japan ([Revision Y]) and revisions based on other information and/or case reports from Japan ([Revision X]).  The revisions were classified into MedDRA system organ class (SOC).  As index of amount of information from domestic case reports, the number of accumulated cases ([Case A]), cases for which a causal relationship to the product could not be ruled out ([Case B]), and fatal cases ([Case C]) were used.  In each SOC, as index of causal relationship to the product, [Index B/A] ([Case B]/[Case A]) was calculated.  Relationship of [Index B/A] to [Revision X]/all revisions, or to the number of [Case A] in [Revision Y] were evaluated.  Deference of drug lag between [Revision X] and [Revision Y] was evaluated.
Results: Three hundreds twenty-three revisions with respect to the addition of CSDR section were identified.  [Revision Y] was 203 revisions (63%).  The number of [Case A], ([Case B], and ([Case C]) that were required for [Revision X] (120 revisions) were significantly lower than that were required for [Revision Y] (p<0.0001 for all comparisons).  [Index B/A] tended to inversely correlate with [Revision X]/all revisions (r=−0.52, p=0.066), and the number of [Case A] in [Revision Y] (r=−0.61, p=0.025).  Drug lag of [Revision X] was significantly longer than that of [Revision Y] (p<0.001).
Conclusions: In future, it would especially needed to pay attention to adverse reactions with a low [Index B/A] of which revisions relatively depend on other information.

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© 2017 Japanese Society of Drug Informatics
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