著者

今井 俊吾 山田 武宏 西村 あや子 沖 洋充 熊井 正貴 宮本 剛典 笠師 久美子 井関 健

出版者

Japanese Society of Drug Informatics

雑誌

医薬品情報学 (ISSN:13451464)

巻号頁・発行日

vol.16, no.4, pp.169-178, 2015 (Released:2015-03-10)

参考文献数

13

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Objective: To attain optimal blood concentration rapidly, it is needed to perform initial dose setting appropriately when vancomycin (VCM) used.  In order to design initial dose settings of VCM more currently, we compared the predictive performance of two types of VCM therapeutic drug monitoring (TDM) analysis software retrospectively.Method: We utilized two TDM analysis software, SHIONOGI-VCM-TDM ver.2009 (VCM-TDM) and “Vancomycin MEEK TDM analysis software Ver. 2.0” (MEEK), based on patient’s background. 112 patients who received VCM and performed TDM were analyzed during the period from October 2011 through September 2012 and compared the actual trough level with the predictive trough level.  The predictive performance was evaluated by calculating ME (mean prediction error), MAE (mean absolute prediction error), and RMSE (root mean squared error).  Age, gender, and a renal function were evaluated as patient’s background.Results: VCM-TDM gave good predictive performance for patients overall.  When classified patient’s background complexly (sex, age, and renal function), as for male patients, VCM-TDM showed good predictive performance except for the group over 65 years old and CCr over 85 mL/min.  For female patients, the difference of predictive performance was not accepted by all groups.Conclusion: These results suggest, for male patients, we should use VCM-TDM for initial dose settings except for the group over 65 years old and over CCr 85 mL/min.  For the other patients, we consider that both of software can be used.  These new findings seem to contribute to proper dosage settings of VCM.

著者

武隈 洋 岩井 美和子 藤原 俊恵 川岸 亨 熊井 正貴 松浦 麻耶 馬渕 朋美 須田 範行 宮本 剛典 荻野 修 菅原 満 宮崎 勝巳

出版者

日本医療薬学会

雑誌

医療薬学 (ISSN:1346342X)

巻号頁・発行日

vol.31, no.7, pp.575-584, 2005-07-10

被引用文献数

5 6

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The results of cancer chemotherapy have been improved remarkably by the development of new drugs and combining drugs in treatment. However, cancer chemotherapy protocols are complicated and the adverse effects are more severe than those of other pharmacotherapies. It was therefore felt important to create a database of protocols for the preparation and dispensing of drugs used in cancer chemotherapy. Using Microsoft Access, we have created a database from 320 protocols we have collected so far from 12 clinical departments and developed operating programs for it. The database has enabled us to search for a protocol using keywords-names of drugs, diseases and clinical departments-and most of the operations can be carried out by the click of a mouse. With our database, pharmacists are able to access protocols quickly and check prescriptions of anticancer drugs even if they are unfamiliar with computers, and we consider it to be a useful tool for this purpose.