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kevin's abstract of one paper: Apr 24, 2010 Abstract Objective: Develop and validate limited-sampling strategy models by using 4 or fewer amlodipine concentration values for estimating the area under the plasma concentration versus time curve in 24 hours(AUC0-24). Method: Eighty healthy volunteers receive 5mg or 10mg oral doses of amlodipine in 4 randomized, crossover protocol. Plasma concentrations in 24 hours were used to develop LSS models. Absolute prediction error(APE) , root of mean square error(RMSE) and visual predict check were used as criterion. Results: LSS models of 1 to 4 concentration-times points were developed using multiple linear regression. The results of Jackkinife validation shows there are fifteen(9.4%) of the 160 LSS based on regression analysis were not within an APE of 15% by using one concentration-time point. 156(97.5%), 159(99.4%) and 160(100%) of the 160 LSS model were capable of predicting within an APE 15% by using 2,3,4 points, respectively. Conclusions: Limited sampling strategies were developed and validated for estimation of amlodipine. The present study indicated that implementipn of both 5mg and 10mg dosage were enabled accurate predictions of AUC0-12 by the same LSS model. This study shows the decrease order of the most important hour is 12,4,24,2, the combination of (12,4), (12,4,24) or (12,4,24,2) might be choice as sampling hours for predicting AUC0-24 in practical application according to requirement.

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kevin's abstract of one paper: Apr 24, 2010

Abstract  Objective: Develop and validate limited-sampling strategy models(LSS) by using 4 or fewer amlodipine concentration values for estimating the area under the plasma concentration versus time curve in 24 hours(AUC0-24). Method: Eighty healthy volunteers received 5mg or 10mg oral doses of amlodipine in 4 randomized, crossover protocol. Plasma concentrations in 24 hours  were used to develop LSS models. Absolute prediction error(APE) , root of mean square error(RMSE) and visual predict check were used as criterion.  Results: LSS models of 1 to 4 concentration-times points were developed using multiple linear regression. The results of Jackkinife validation shows there are fifteen(9.4%) of the 160 LSS cases based on regression analysis were not within an APE of 15% by using one concentration-time point. 156(97.5%), 159(99.4%) and 160(100%) of the 160 LSS cases were capable of predicting and within an APE 15% by using 2,3,4 points, respectively.  
Conclusions: Limited sampling strategies were developed and validated for estimating AUC0-24 of amlodipine. The present study indicated that the implemention of both 5mg and 10mg dosage were enabled accurate predictions of AUC0-12 by the same LSS model. This study shows the decrease order of the most important hour is 12,4,24,2, the combination of (12,4), (12,4,24) or (12,4,24,2) might be choice as sampling hours for predicting  AUC0-24 in practical application according to requirement.


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