Comparison of different equations for renal function evaluation as proxies for antibiotic drug clearance: the examples of amoxicillin and cloxacillin

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Duval, Xavier | Franck, Benedicte | Revest, Matthieu | Tron, Camille | Chemouny, Jonathan M | Lalanne, Sébastien | Houot, Roch | Verdier, Marie-Clémence | Lemaitre, Florian

Edité par CCSD ; Elsevier -

International audience. The most appropriate renal function estimation equation to predict drug clearance is a matter of debate. In this study, we compare the Modification of Diet in Renal Disease (MDRD), the Chronic Kidney Disease Epidemiology collaboration (CKD-EPI) and the Cockroft-Gault (CG) equations to predict amoxicillin and cloxacillin clearance among hospitalized patients receiving high doses of these antibiotic treatments. This study aimed to compare different equations used to predict amoxicillin and cloxacillin clearance among hospitalized patients receiving amoxicillin or cloxacillin treatments outside the intensive care unit. Data from 128 patients contributing 268 plasma samples was analyzed, and correlations between the equations and the amoxicillin and cloxacillin antibiotic clearance rates were calculated. We found a correlation between antibiotic clearance and all the renal function estimation equations, CG being the best, with a R(2) of 0.35 for amoxicillin and 0.29 for cloxacillin (compared to 0.26 and 0.21 for MDRD and 0.12 and 0.24 for CKD-EPI). CG should be preferentially used as a proxy for amoxicillin and cloxacillin drug clearance, but the use of completely different tools such as therapeutic drug monitoring could help individualize antibiotic dosage.

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