Sentence examples for dosing equation from inspiring English sources

Because of the above observations, our final dosing equation for the prediction of the daily phenprocoumon dose was restricted to VKORC1, age and height, as these parameters alone accounted for 48.6% of daily phenprocoumon dose variability.

Based on the relationship between the PK parameters CL and AUC, and dose as D=CL × AUC, an individualised carboplatin dosing equation was derived from the equation of the individual predicted clearance (eq. 7) and a target AUC associated with a moderate toxicity of 26.6 mg min ml−1, as an example for clinical practice: where Dind is the individual carboplatin dose in milligram.

The likelihood of dose adjustment was not influenced by the method of GFR determination or the dosing equation used to determine initial renal function-based dosing.

Since it was our aim to propose a simple dosing guideline calculation for clinical practice, in the final individual dosing equation figures have been rounded off.

Because the dosing equation computes the square root of the daily phenprocoumon dose, the output must be squared to calculate the actual daily dose.

The investigated SNPs in CYP4F2, CALU, EPHX1, GGCX, F7, and PROC did not improve the predictive value of a pharmacogenetic-based dosing equation for phenprocoumon.

Manual dose calculation using dosing equations during pediatric treatment also proved to be a high-error activity [5 8].

Despite the fact that many dosing equations have been developed to predict warfarin dose requirements, the benefit of pharmacogenetic-guided coumarin therapy remains a matter of controversy [ 43].

However, dosing equations such as those presented in this paper may help to identify subjects requiring low, intermediate, or high daily phenprocoumon doses.

Pharmacogenomic-based dosing equations could reduce the time needed to find the adequate individual daily phenprocoumon dose and might help to avoid over-anticoagulation, especially in the early phase of phenprocoumon therapy.

The biological pathways involving warfarin are well characterized, and warfarin metabolism genes show high genetic variability not only between individuals but also between populations, making it cumbersome to refine the warfarin dosing equations for each specific population [ 14- 16].