TY - JOUR
T1 - A simulation study to evaluate limited sampling strategies to estimate area under the curve of drug concentration versus time following repetitive oral dosing
T2 - Limited sampling model versus naive trapezoidal method
AU - Kayano, Yuichiro
AU - Horiuchi, Isao
AU - Mori, Yun I.
AU - Ishida, Kazuya
AU - Saito, Tomohisa
AU - Taguchi, Masato
AU - Hashimoto, Yukiya
PY - 2009/8
Y1 - 2009/8
N2 - The area under the curve (AUC) can be associated with the therapeutic or toxic effect of a drug. The limited sampling model (LSM) is an approach that is gaining popularity due to its simplicity for the estimation of AUC using 1-3 blood samples. The aim of the present simulation study was to compare the performance of LSM for various hypothetical drugs with that of the naive trapezoidal method (Trap). The 3-point (trough, peak, and downhill) sampling design following repetitive oral dosing was assumed for LSM (LSM3) and Trap (Trap3). The 2-point (trough and peak) sampling design was also assumed for LSM (LSM2) and Trap (Trap2). In addition, trough-sampling and peak-sampling designs for LSM were designated as LSM1 and LSM1′, respectively. As a result, the rank order of precision of the AUC estimation designs/methods was summarized as follows: LSM3≈Trap3≥LSM2≥Trap2≈LSM1>LSM1′. The finding suggested that LSM can not always improve the estimation performance of AUC in the 3-point sampling design, and that LSM1′ is insufficient to estimate the performance of AUC for the hypothetical drugs evaluated in the present study. Accordingly, LSM2 and LSM1 may be an efficient approach for estimating AUC following repetitive oral dosing. In addition, Trap3 and Trap2 may be promising alternatives, because Trap does not require a high investment to recruit a full-sampling model-development group.
AB - The area under the curve (AUC) can be associated with the therapeutic or toxic effect of a drug. The limited sampling model (LSM) is an approach that is gaining popularity due to its simplicity for the estimation of AUC using 1-3 blood samples. The aim of the present simulation study was to compare the performance of LSM for various hypothetical drugs with that of the naive trapezoidal method (Trap). The 3-point (trough, peak, and downhill) sampling design following repetitive oral dosing was assumed for LSM (LSM3) and Trap (Trap3). The 2-point (trough and peak) sampling design was also assumed for LSM (LSM2) and Trap (Trap2). In addition, trough-sampling and peak-sampling designs for LSM were designated as LSM1 and LSM1′, respectively. As a result, the rank order of precision of the AUC estimation designs/methods was summarized as follows: LSM3≈Trap3≥LSM2≥Trap2≈LSM1>LSM1′. The finding suggested that LSM can not always improve the estimation performance of AUC in the 3-point sampling design, and that LSM1′ is insufficient to estimate the performance of AUC for the hypothetical drugs evaluated in the present study. Accordingly, LSM2 and LSM1 may be an efficient approach for estimating AUC following repetitive oral dosing. In addition, Trap3 and Trap2 may be promising alternatives, because Trap does not require a high investment to recruit a full-sampling model-development group.
KW - Area under the curve
KW - Limited sampling strategy
KW - Therapeutic drug monitoring
KW - Trapezoidal method
UR - http://www.scopus.com/inward/record.url?scp=69149107692&partnerID=8YFLogxK
U2 - 10.1248/bpb.32.1486
DO - 10.1248/bpb.32.1486
M3 - 学術論文
C2 - 19652396
AN - SCOPUS:69149107692
SN - 0918-6158
VL - 32
SP - 1486
EP - 1490
JO - Biological and Pharmaceutical Bulletin
JF - Biological and Pharmaceutical Bulletin
IS - 8
ER -