title: The performance of contemporary cystatin C-based GFR equations in predicting gentamicin clearance.
abstract: OBJECTIVE
  We aimed to compare the performances of contemporary cystatin C (Cys)-based GFR equations, and the creatinine only Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation for predicting gentamicin clearance.
  
  
  METHODS
  The bias and imprecision of the CKD-EPI, CKD-EPI_Cys and creatinine-cystatin C CKD-EPI (CKD-EPI_CrCys) equations for predicting gentamicin clearances, were assessed in 260 patients treated with gentamicin during 2012-2013. The creatinine-cystatin C Berlin Initiative Study equation (BIS_CrCys) was examined in the ≥70 year subgroup. The reference gentamicin clearance was calculated using post-dose plasma concentrations.
  
  
  RESULTS
  The CKD-EPI_CrCys equation had the highest percentage of estimates within 30% of the reference gentamicin clearance (70%, P = 0.003) and lowest root mean square error (95% CI) of 29 (25, 23) ml min(-1) of the three equations for the entire cohort. There was no significant improvement in the performances of the equations with the exclusion of 41 patients with abnormal thyroid function tests or steroid co-prescription at the time of the index gentamicin dose. Of the remaining 219 patients, adjustment for individual BSA improved the performances of all GFR equations (P ≤ 0.003) in those with body mass indices (BMI) <18.5 or ≥30 kg m(-2) , but not those with BMI 18.5-29.9 kg m(-2) . There was no advantage of the BIS_CrCys over the CKD-EPI_CrCys equation in the ≥70 year subgroup.
  
  
  CONCLUSIONS
  The CKD-EPI_CrCys equation provided the best estimate of gentamicin clearance. If used for guiding gentamicin dosing, the results from GFR equations should be adjusted for individual BSA at the extremes of body size.
authors.affiliation: Department of Clinical Pharmacology, Christchurch Hospital, Christchurch.
authors.forename: Paul K L
authors.initials: PK
authors.lastname: Chin
authors.forename: Janice S C
authors.initials: JS
authors.lastname: Chew-Harris
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Florkowski
authors.forename: Evan J
authors.initials: EJ
authors.lastname: Begg
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000900:Anti-Bacterial Agents / Q000008:administration & dosage / Q000493:pharmacokinetics*; D015992:Body Mass Index; D003404:Creatinine / Q000097:blood; D055316:Cystatin C / Q000378:metabolism*; D004305:Dose-Response Relationship, Drug; D005260:Female; D005839:Gentamicins / Q000008:administration & dosage / Q000493:pharmacokinetics*; D005919:Glomerular Filtration Rate; D006801:Humans; D008297:Male; D008875:Middle Aged; D051436:Renal Insufficiency, Chronic / Q000503:physiopathology*; D055815:Young Adult
chemical_list: D000900:Anti-Bacterial Agents; D055316:Cystatin C; D005839:Gentamicins; D003404:Creatinine
keywords: clearance; cystatin C; gentamicin; glomerular filtration rate