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However, the Css-trough (population mean method\npredicted value [PMMPV]) calculated using the population mean method (PMM) often\ndeviate from the effective concentration range. In this study, we used the generalized\nlinear mixed model (GLMM) for initial dose planning to create a model that accurately\npredicts Css-trough, and subsequently assessed its prediction accuracy.\nMethods: The study included 46 subjects whose trough values were measured after\nreceiving VCM. We calculated the Css-trough (Bayesian estimate predicted value [BEPV])\nfrom the Bayesian estimates of trough values. Using the patients’ medical data, we created\nmodels that predict the BEPV and selected the model with minimum information criterion\n(GLMM best model). 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一般化線形混合モデルを用いた新たなバンコマイシンの初期投与設計
https://doi.org/10.15069/00001284
https://doi.org/10.15069/0000128493410560-7f41-4abe-8831-668ea0de9672
名前 / ファイル | ライセンス | アクション |
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②11D1302興梠靖幸_英文論文_論文審査用 (6.7 MB)
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審査結果の要旨(興梠) (23.1 kB)
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Item type | 学位論文 / Thesis or Dissertation(1) | |||||
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公開日 | 2017-08-18 | |||||
タイトル | ||||||
タイトル | 一般化線形混合モデルを用いた新たなバンコマイシンの初期投与設計 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Establishment of a new initial dose plan for vancomycin using the generalized linear mixed model | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Vancomycin | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Therapeutic drug monitoring | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Initial dose planning | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Generalized | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_46ec | |||||
資源タイプ | thesis | |||||
ID登録 | ||||||
ID登録 | 10.15069/00001284 | |||||
ID登録タイプ | JaLC | |||||
著者 |
Kourogi, Yasuyuki
× Kourogi, Yasuyuki× Ogata, Kenji× Takamura, Norito× Tokunaga, Jin× Setoguchi, Nao× Kai, Mitsuhiro× Tanaka, Emi× Chiyotanda, Susumu |
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著者(ヨミ) | ||||||
識別子Scheme | WEKO | |||||
識別子 | 7679 | |||||
姓名 | Kourogi, Yasuyuki | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Background: When administering vancomycin hydrochloride (VCM), the initial dose is adjusted to ensure that the steady-state trough value (Css-trough) remains within the effective concentration range. However, the Css-trough (population mean method predicted value [PMMPV]) calculated using the population mean method (PMM) often deviate from the effective concentration range. In this study, we used the generalized linear mixed model (GLMM) for initial dose planning to create a model that accurately predicts Css-trough, and subsequently assessed its prediction accuracy. Methods: The study included 46 subjects whose trough values were measured after receiving VCM. We calculated the Css-trough (Bayesian estimate predicted value [BEPV]) from the Bayesian estimates of trough values. Using the patients’ medical data, we created models that predict the BEPV and selected the model with minimum information criterion (GLMM best model). We then calculated the Css-trough (GLMMPV) from the GLMM best model and compared the BEPV correlation with GLMMPV and with PMMPV. Results: The GLMM best model was {[0.977 + (males: 0.029 or females: -0.081)] × PMMPV + 0.101 × BUN/adjusted SCr – 12.899 × SCr adjusted amount}. The coefficients of determination for BEPV/GLMMPV and BEPV/PMMPV were 0.623 and 0.513, respectively. Conclusion: We demonstrated that the GLMM best model was more accurate in predicting the Css-trough than the PMM. |
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学位名 | ||||||
学位名 | 博士(医療薬学 Doctor of Clinical Pharmacy) | |||||
学位授与機関 | ||||||
学位授与機関名 | 九州保健福祉大学 | |||||
学位授与年度 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 平成29年度 | |||||
学位授与年月日 | ||||||
学位授与年月日 | 2017-09-21 | |||||
学位授与番号 | ||||||
学位授与番号 | 博甲第4号 |