ID | JOS-jjdi.15.64 |
タイトル:カナ | フクサヨウ リスク トシテノ 100シュ タイシツ ノ ケッテイボク ブンセキ |
別タイトル | Decision tree analysis of 100 types of body constitution as factors of adverse drug reaction |
著者:名前 | |
著者:別形式 | Hosaka, Shigeru / Yamamoto, Midori / Saitoh, Tatsuya / Oshima, Shinji / Oshima, Shigeru / Oshima, Kimie / Kutsuma, Nobuaki / Honma, Seiichi / Kobayashi, Daisuke |
著者:カナ | |
著者:所属 | 株式会社あさひ調剤 / 城西大学薬学部薬剤作用解析学講座 / 城西大学薬学部薬剤作用解析学講座 / 城西大学薬学部薬剤作用解析学講座 / 城西大学薬学部薬剤作用解析学講座 / 株式会社あさひ調剤 / 株式会社あさひ調剤 / 有限会社温故堂漢方あけぼの薬局 / 城西大学薬学部薬剤作用解析学講座 |
著者:所属(別形式) | Asahi-Chozai Co., Ltd. / Josai University, Faculty of Pharmaceutical Sciences, Department of Analytical Pharmaceutics and Informatics / Josai University, Faculty of Pharmaceutical Sciences, Department of Analytical Pharmaceutics and Informatics / Josai University, Faculty of Pharmaceutical Sciences, Department of Analytical Pharmaceutics and Informatics / Josai University, Faculty of Pharmaceutical Sciences, Department of Analytical Pharmaceutics and Informatics / Asahi-Chozai Co., Ltd. / Asahi-Chozai Co., Ltd. / Onko-Do Kampo Akebono Yakkyoku Co., Ltd. / Josai University, Faculty of Pharmaceutical Sciences, Department of Analytical Pharmaceutics and Informatics |
著者版フラグ | author |
出版地 | 東京 |
出版者 | 日本医薬品情報学会 |
出版者:カナ | ニホンイヤクヒンジョウホウガッカイ |
出版者:別名 | Japanese Society of Drug Informatics |
NCID | AA11916144 |
冊子ISSN | 13451464 |
電子ISSN | 1883423X |
掲載誌名 | |
掲載誌名:翻訳 | Japanese Journal of Drug Informatics |
巻 | 15 |
号 | 2 |
刊行年月 | 2013-08 |
開始ページ | 64 |
終了ページ | 70 |
コンテンツ作成日 | 2013-04-22 |
コンテンツ登録日 | 2014-03-11 |
識別番号:DOI | info:doi/10.11256/jjdi.15.64 |
識別番号:DOI(リンク) | |
識別番号:その他 | JOI:DN/JST.JSTAGE/jjdi/15.64 |
抄録 | Objective: In this study, we evaluated distinctive types of physical predisposition in patients with common side effects. Method: We selected 500 and 1,200 individuals with and without a previous diagnosis of side effects, respectively, through web-based research. Then, we conducted a decision tree analysis for investigating the status of 100 types of physical predisposition in these individuals. Results and Conclusion: The individuals who had suffered from hepatic disorder and answered “relevant” for “predisposition to swelling” (likelihood ratio of a positive result [LR+] 2.17; p=0.004) and “very relevant” for “predisposition to skin dryness” (LR+ 3.52; p<0.001) enhanced the probability of extracting individuals who developed side effects. The individuals who had suffered from skin disorder and answered “relevant” for “predisposition to eczema and inflammation” and “not relevant” for “predisposition to higher temperature” had an LR+ of 2.22 (p<0.001). The individuals with “predisposition to worsening of physical condition on a rainy or high-humidity day” are more likely to develop side effects with the use of antibiotics and NSAIDs, compared to those without this predisposition (antibiotics: LR+ 2.33; NSAIDs: LR+ 2.51). The results of this study indicate that we can identify patients with a high risk of side effects through an interview on predisposition. |
キーワード | |
言語 | jpn |
資源タイプ | text |
ジャンル | |
フォーマット | application/pdf |
権利 | Copyright c 2013 Japanese Society of Drug Informatics |
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このアイテムを表示する:URI | |