The aim of this study was to analyse the pharmacokinetic behaviour of amika
cin in patients with haematological malignancies using a mixed-effect model
and sparse data collected during routine clinical care. The patient popula
tion comprised 207 haematology patients divided into two groups: one for co
mputing the population model (n = 134) and the other for validation (n = 73
), A one-compartment model was used and the following covariates were teste
d for their influence on clearance and volume of distribution: age, gender,
weight, parenteral nutrition, creatinine clearance, stage of antineoplasti
c treatment (induction, consolidation, intensification), number of weeks po
stchemotherapy, clinical diagnosis, Eastern Cooperative Oncology Group scor
e, neutropenia, hypoalbuminaemia, concomitant medication (vancomycin and/or
amphotericin B), overhydration, and autologous or allogenic bone marrow tr
ansplant. The nonlinear mixed-effect model (NONMEM) was used to assess the
population pharmacokinetic model of amikacin in these patients. Apart from
bodyweight and renal function, acute myeloblastic leukaemia and hypoalbumin
aemia proved to be the most important covariates explaining the interindivi
dual variability in amikacin pharmacokinetics in patients with haematologic
al malignancies. The predictive performance of this population model for am
ikacin serum concentrations seems suitable for clinical purposes.