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4CPS-081 Comparison of the cockcroft–gault, mdrd and ckd–epi equations for estimating ganciclovir clearance
  1. ME Palacio-Lacambra1,
  2. I Comas-Reixach2,
  3. A Blanco-Grau2,
  4. JM Suñé-Negre3,
  5. A Segarra-Medrano4,
  6. JB Montoro-Ronsano1
  1. 1Hospital Universitari Vall d’Hebron, Pharmacy, Barcelona, Spain
  2. 2Hospital Universitari Vall d’Hebron, Biochemistry, Barcelona, Spain
  3. 3Universitat de Barcelona, Pharmacy Faculty, Barcelona, Spain
  4. 4Hospital Universitari Vall d’Hebron, Department of Nephrology, Barcelona, Spain


Background Accurately estimating kidney function is essential for the safe administration of renally cleared drugs such as ganciclovir. Current practice recommends adjusting renally eliminated drugs according to the Cockcroft–Gault equation. There is no data on the utility of the Modification of Diet in Renal Disease (MDRD) and Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations in ganciclovir dosing.

Purpose To evaluate which renal function equation best predicts ganciclovir clearance.

Material and methods The performance of the Cockcroft–Gault equation, isotope dilution mass spectrometry (IDMS)-traceable 4-variable MDRD study (MDRD4–IDMS) equation and CKD–EPI equation in determining ganciclovir clearance were assessed retrospectively in patients treated with ganciclovir from 2004 to 2015. The MDRD4–IDMS and CKD–EPI equations adjusted to individual body surface area (MDRD4–IDMS*BSA and CKD–EPI*BSA, respectively) were also evaluated. Patients with intravenous ganciclovir peak and trough concentrations in their medical records were included in the study. Ganciclovir clearance was calculated from serum concentrations using a two-compartment model. The five equations were compared based on their predictive ability, the coefficient of determination, through a linear regression analysis. The results were validated in a group of patients.

Results One hundred patients were included in the final analysis. Seventy-four patients were analysed in the learning group and 26 in the validation group. The coefficient of determination was 0.281 for Cockcroft–Gault, 0–301 for CKD–EPI*BSA, 0–308 for MDRD4–IDMS*BSA, 0.324 for MDRD4–IDMS and 0.360 for CKD–EPI. Subgroup analysis also showed that CKD–EPI is a better predictor of ganciclovir clearance. Analysis of the validation group confirmed these results.

Conclusion The CKD–EPI equation correlates better with ganciclovir clearance than the Cockcroft–Gault and MDRD4–IDMS equations. However, further studies are needed in order to recommend new ganciclovir doses according to the CKD–EPI equation.

No conflict of interest

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