LAUSR

observational indicate prescribing is approximately of all of and hospitalizations. About 40% of all should be according to renal function, 2 and a Swedish study concluded that one third of all adverse drug reactions leading to hospitalization were related to improper dose adjustment for renally excreted medications. These dose adjustments are typically determined by estimated glomerular filtration rate (eGFR) using Collabo-ration own home, eliminating the need to visit a specialized facility. Results from a diverse cohort of 203 patients demonstrated strong agreement between DBS and stan-dard methods (correlation coefficient: 0.996). 12 Given the practical advantages of the DBS method, we believe it has the potential to replace other methods as a confirmatory tool for GFR assessment. Another consideration for optimized prescribing is that dose adjustments are only as appropriate as the guidelines that determine them. Dosing guidelines are typically based on results from pharmaco-kinetic (PK) modelling performed during drug development. 13 The goal of PK modelling is to predict the plasma concentration profile of a par-ticular medication. As this profile often depends on renal clearance, it is important to use accurate methods for assessing kidney function. The CG equation continues to be used for this purpose, but results from Delanaye et al. challenge this practice. Given the wide-ranging consequences of inaccurate dosing guidelines, PK modelling should utilize up-to-date equations for estimating kidney function or simply switch to measured GFR. Improving the accuracy of dosing guidelines ultimately supports the purpose of dose adjustment in the first place.