“…- Better prior probability was reported in a population PK model based on rich sampling (full data set: e.g., at the end of infusion, at 60, 120, and 300 min following the infusion, and immediately before the next dose) than that based on limited sampling (e.g., trough and peak concentrations) [ 66 , 67 , 68 , 69 , 70 , 71 ].
- Population properties (i.e., age, body weight, kidney function, other potential covariates) for establishing a population PK model should be considered to determine the reasonable candidates for the MIPD software to increase the accuracy of dosing [ 53 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 , 97 ].
- The Bayesian prior information has been accumulated in special populations of obesity, paediatrics, and renal replacement therapy (RRT).
…”