BACKGROUND: The aim of this study was to investigate whether @entity2176 clearance (CLva) can be adequately predicted with CLva prediction methods. Additionally, other covariates influencing the CLva were investigated and predictivity of monitoring of only trough levels to 24-hour area under the curve (AUC24) was evaluated. METHODS: Routine @entity2176 plasma levels were measured with a fluorescence polarization immunoassay. Pharmacokinetic (PK) parameters of individual @entity1 , that is, CLva and volume of distribution, were determined with maximum a posteriori Bayesian estimation. CLva was calculated with the 3 prediction methods, which are solely based on @entity1011 clearance (CLcr) estimated with Cockcroft and Gault formula and was compared with the calculated CLva with maximum a posteriori Bayesian estimation. Prediction errors were calculated. Correlations between CLva and CLcr, @entity1011 , age, weight, sex, and @entity1398 were made. Furthermore, correlations between trough levels and AUC24 were evaluated. RESULTS: A total of 171 @entity1 were included. Prediction errors and absolute prediction errors of the 3 methods ranged from 28% to 80% and 39% to 83%, respectively. In the multivariate analysis, CLva was significantly associated with CLcr, @entity1011 , age, weight, sex, and @entity1398 . Linear correlation between AUC24 and trough levels was R 0.38. CONCLUSIONS: Large prediction errors make the CLva algorithms based on estimated plasma CLcr unsuitable for use in @entity1 care. Additionally, other factors, which are not accounted for in the current algorithms, influence the CLva individually. Owing to low association of AUC24 and trough levels, the AUC24 cannot be predicted with through levels. For a reliable AUC24 guided @entity2176 dosing, therapeutic drug monitoring is necessary.

Evaluation of XXXX Prediction Methods Based on Estimated @entity1011 Clearance or Trough Levels.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity1398 :: ('MESH:D009503', 'Disease') :: ['neutropenia'] @entity2176 :: ('MESH:D014640', 'Chemical') :: ['vancomycin'] @entity1011 :: ('MESH:D003404', 'Chemical') :: ['creatinine']
@entity2176 :: (MESH:D014640,Chemical) :: ['Vancomycin']
