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Failure to Predict Amikacin Elimination in Critically Ill Patients with Cancer Based on the Estimated Glomerular Filtration Rate: Applying PBPK Approach in a Therapeutic Drug Monitoring Study

Abstract

Purpose: The aim of this work was to integrate the Therapeutic Drug Monitoring (TDM) with the model-informed precision dosing (MIPD) approach, using Physiologically-based Pharmacokinetic/Pharmacodynamic (PBPK/PD) modelling and simulation, to explore the relationship between amikacin exposure and estimated glomerular filtration rate (GFR) in critically ill patients with cancer.

Methods: In the TDM study, samples from 51 critically-ill patients with cancer treated with amikacin were analysed. Patients were stratified according to renal function based on GFR status. A full-body PBPK model with 12 organs model was developed using Simcyp V. 21, including steady-state volume of distribution of 0.21 L/kg and renal clearance of 6.9 L/h in healthy adults. PK parameters evaluated were within the 2-fold error range.

Results: During the validation step, predicted vs observed amikacin clearance values after single infusion dose in patients with normal renal function, mild and moderate renal impairment were 7.6 vs 8.1 L/h (7.5 mg/kg dose); 3.8 vs 4.5 L/h (1500 mg dose) and 2.2 vs 3.1 L/h (25 mg/kg dose), respectively. However, predicted vs observed amikacin clearance after a single dose infusion of 1400 mg in critically-ill patients with cancer were 1.46 vs 1.63 (P = 0.6406) L/h (severe), 2.83 vs 1.08 (P < 0.05) L/h (moderate), 4.23 vs 2.49 (P = 0.0625) L/h (mild) and 7.41 vs 3.36 (P < 0.05) L/h (normal renal function).

Conclusion: This study demonstrated that estimated GFR did not predict amikacin elimination in critically-ill patients with cancer. Further studies are necessary to find amikacin PK covariates to optimize the pharmacotherapy in this population. Therefore, TDM of amikacin is imperative in cancer patients.

References
1.
Prayle A, Watson A, Fortnum H, Smyth A . Side effects of aminoglycosides on the kidney, ear and balance in cystic fibrosis. Thorax. 2010; 65(7):654-8. PMC: 2921289. DOI: 10.1136/thx.2009.131532. View

2.
Pitta R, Gasparetto J, Moraes T, Telles J, Tuon F . Antimicrobial therapy with aminoglycoside or meropenem in the intensive care unit for hospital associated infections and risk factors for acute kidney injury. Eur J Clin Microbiol Infect Dis. 2019; 39(4):723-728. DOI: 10.1007/s10096-019-03779-6. View

3.
Soman R, Bakthavatchalam Y, Nadarajan A, Dwarakanathan H, Venkatasubramanian R, Veeraraghavan B . Is it time to move away from polymyxins?: evidence and alternatives. Eur J Clin Microbiol Infect Dis. 2020; 40(3):461-475. DOI: 10.1007/s10096-020-04053-w. View

4.
Marsot A, Guilhaumou R, Riff C, Blin O . Amikacin in Critically Ill Patients: A Review of Population Pharmacokinetic Studies. Clin Pharmacokinet. 2016; 56(2):127-138. DOI: 10.1007/s40262-016-0428-x. View

5.
Abdul-Aziz M, Alffenaar J, Bassetti M, Bracht H, Dimopoulos G, Marriott D . Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper. Intensive Care Med. 2020; 46(6):1127-1153. PMC: 7223855. DOI: 10.1007/s00134-020-06050-1. View