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Published in: Clinical Pharmacokinetics 10/2017

Open Access 01-10-2017 | Original Research Article

Population Pharmacokinetic Model and Pharmacokinetic Target Attainment of Micafungin in Intensive Care Unit Patients

Authors: Lisa C. Martial, Rob ter Heine, Jeroen A. Schouten, Nicole G. Hunfeld, Henk J. van Leeuwen, Paul E. Verweij, Dylan W. de Lange, Peter Pickkers, Roger J. Brüggemann

Published in: Clinical Pharmacokinetics | Issue 10/2017

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Abstract

Objective

To study the pharmacokinetics of micafungin in intensive care patients and assess pharmacokinetic (PK) target attainment for various dosing strategies.

Methods

Micafungin PK data from 20 intensive care unit patients were available. A population-PK model was developed. Various dosing regimens were simulated: licensed regimens (I) 100 mg daily; (II) 100 mg daily with 200 mg from day 5; and adapted regimens 200 mg on day 1 followed by (III) 100 mg daily; (IV) 150 mg daily; and (V) 200 mg daily. Target attainment based on a clinical PK target for Candida as well as non-Candida parapsilosis infections was assessed for relevant minimum inhibitory concentrations [MICs] (Clinical and Laboratory Standards Institute). Parameter uncertainty was taken into account in simulations.

Results

A two-compartment model best fitted the data. Clearance was 1.10 (root square error 8%) L/h and V 1 and V 2 were 17.6 (root square error 14%) and 3.63 (root square error 8%) L, respectively. Median area under the concentration–time curve over 24 h (interquartile range) on day 14 for regimens I–V were 91 (67–122), 183 (135–244), 91 (67–122), 137 (101–183) and 183 (135–244) mg h/L, respectively, for a typical patient of 70 kg. For the MIC/area under the concentration–time curve >3000 target (all Candida spp.), PK target attainment was >91% on day 14 (MIC 0.016 mg/L epidemiological cut-off) for all of the dosing regimens but decreased to (I) 44%, (II) 91%, (III) 44%, (IV) 78% and (V) 91% for MIC 0.032 mg/L. For the MIC/area under the concentration–time curve >5000 target (non-C. parapsilosis spp.), PK target attainment varied between 62 and 96% on day 14 for MIC 0.016.

Conclusions

The licensed micafungin maintenance dose results in adequate exposure based on our simulations with a clinical PK target for Candida infections but only 62% of patients reach the target for non-C. parapsilosis. In the case of pathogens with an attenuated micafungin MIC, patients may benefit from dose escalation to 200 mg daily. This encourages future study.
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Literature
1.
go back to reference Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units. JAMA. 2009;302:2323–9.CrossRefPubMed Vincent JL, Rello J, Marshall J, et al. International study of the prevalence and outcomes of infection in intensive care units. JAMA. 2009;302:2323–9.CrossRefPubMed
5.
go back to reference Pappas PG, Kauffman CA, Andes DR, et al. Executive summary: clinical practice guideline for the management of candidiasis: 2016 update by the Infectious Diseases Society of America. Clin Infect Dis. 2016;62:409–17.CrossRefPubMed Pappas PG, Kauffman CA, Andes DR, et al. Executive summary: clinical practice guideline for the management of candidiasis: 2016 update by the Infectious Diseases Society of America. Clin Infect Dis. 2016;62:409–17.CrossRefPubMed
6.
go back to reference Andes DR, Safdar N, Baddley JW, et al. Impact of treatment strategy on outcomes in patients with candidemia and other forms of invasive candidiasis: a patient-level quantitative review of randomized trials. Clin Infect Dis. 2012;54:1110–22.CrossRefPubMed Andes DR, Safdar N, Baddley JW, et al. Impact of treatment strategy on outcomes in patients with candidemia and other forms of invasive candidiasis: a patient-level quantitative review of randomized trials. Clin Infect Dis. 2012;54:1110–22.CrossRefPubMed
7.
go back to reference Lempers VJ, Schouten JA, Hunfeld NG, et al. Altered micafungin pharmacokinetics in intensive care unit patients. Antimicrob Agents Chemother. 2015;59:4403–9.CrossRefPubMedPubMedCentral Lempers VJ, Schouten JA, Hunfeld NG, et al. Altered micafungin pharmacokinetics in intensive care unit patients. Antimicrob Agents Chemother. 2015;59:4403–9.CrossRefPubMedPubMedCentral
8.
go back to reference Andes D, Diekema DJ, Pfaller MA, et al. In vivo comparison of the pharmacodynamic targets for echinocandin drugs against Candida species. Antimicrob Agents Chemother. 2010;54:2497–506.CrossRefPubMedPubMedCentral Andes D, Diekema DJ, Pfaller MA, et al. In vivo comparison of the pharmacodynamic targets for echinocandin drugs against Candida species. Antimicrob Agents Chemother. 2010;54:2497–506.CrossRefPubMedPubMedCentral
9.
go back to reference Andes DR, Diekema DJ, Pfaller MA, et al. In vivo pharmacodynamic target investigation for micafungin against Candida albicans and C. glabrata in a neutropenic murine candidiasis model. Antimicrob Agents Chemother. 2008;52:3497–503.CrossRefPubMedPubMedCentral Andes DR, Diekema DJ, Pfaller MA, et al. In vivo pharmacodynamic target investigation for micafungin against Candida albicans and C. glabrata in a neutropenic murine candidiasis model. Antimicrob Agents Chemother. 2008;52:3497–503.CrossRefPubMedPubMedCentral
10.
go back to reference Andes D, Ambrose PG, Hammel JP, et al. Use of pharmacokinetic-pharmacodynamic analyses to optimize therapy with the systemic antifungal micafungin for invasive candidiasis or candidemia. Antimicrob Agents Chemother. 2011;55:2113–21.CrossRefPubMedPubMedCentral Andes D, Ambrose PG, Hammel JP, et al. Use of pharmacokinetic-pharmacodynamic analyses to optimize therapy with the systemic antifungal micafungin for invasive candidiasis or candidemia. Antimicrob Agents Chemother. 2011;55:2113–21.CrossRefPubMedPubMedCentral
11.
go back to reference Beal S, Sheiner LB, Boeckmann A. NONMEM user’s guides (1989–2006). Ellicott City: ICON Development Solutions; 2006. Beal S, Sheiner LB, Boeckmann A. NONMEM user’s guides (1989–2006). Ellicott City: ICON Development Solutions; 2006.
12.
go back to reference Jonsson EN, Karlsson MO. Xpose: an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Comput Methods Programs Biomed. 1999;58:51–64.CrossRefPubMed Jonsson EN, Karlsson MO. Xpose: an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEM. Comput Methods Programs Biomed. 1999;58:51–64.CrossRefPubMed
13.
go back to reference Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit: a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 2005;79:241–57.CrossRefPubMed Lindbom L, Pihlgren P, Jonsson EN. PsN-Toolkit: a collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEM. Comput Methods Programs Biomed. 2005;79:241–57.CrossRefPubMed
14.
go back to reference R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2013. R Core Team. R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing; 2013.
15.
go back to reference Anderson BJ, Holford NH. Mechanistic basis of using body size and maturation to predict clearance in humans. Drug Metab Pharmacokinet. 2009;24:25–36.CrossRefPubMed Anderson BJ, Holford NH. Mechanistic basis of using body size and maturation to predict clearance in humans. Drug Metab Pharmacokinet. 2009;24:25–36.CrossRefPubMed
16.
go back to reference Gumbo T, Hiemenz J, Ma L, et al. Population pharmacokinetics of micafungin in adult patients. Diagn Microbiol Infect Dis. 2008;60:329–31.CrossRefPubMed Gumbo T, Hiemenz J, Ma L, et al. Population pharmacokinetics of micafungin in adult patients. Diagn Microbiol Infect Dis. 2008;60:329–31.CrossRefPubMed
17.
go back to reference Hall RG, Swancutt MA, Gumbo T. Fractal geometry and the pharmacometrics of micafungin in overweight, obese, and extremely obese people. Antimicrob Agents Chemother. 2011;55:5107–12.CrossRefPubMedPubMedCentral Hall RG, Swancutt MA, Gumbo T. Fractal geometry and the pharmacometrics of micafungin in overweight, obese, and extremely obese people. Antimicrob Agents Chemother. 2011;55:5107–12.CrossRefPubMedPubMedCentral
18.
go back to reference Holford N, Heo YA, Anderson B. A pharmacokinetic standard for babies and adults. J Pharm Sci. 2013;102:2941–52.CrossRefPubMed Holford N, Heo YA, Anderson B. A pharmacokinetic standard for babies and adults. J Pharm Sci. 2013;102:2941–52.CrossRefPubMed
19.
go back to reference Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13:143–51.CrossRefPubMedPubMedCentral Bergstrand M, Hooker AC, Wallin JE, Karlsson MO. Prediction-corrected visual predictive checks for diagnosing nonlinear mixed-effects models. AAPS J. 2011;13:143–51.CrossRefPubMedPubMedCentral
20.
go back to reference Ferreira FL, Bota DP, Bross A, et al. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA. 2001;286:1754–8.CrossRefPubMed Ferreira FL, Bota DP, Bross A, et al. Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA. 2001;286:1754–8.CrossRefPubMed
21.
go back to reference Vincent JL, de Mendonca A, Cantraine F, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med. 1998;26:1793–800.CrossRefPubMed Vincent JL, de Mendonca A, Cantraine F, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med. 1998;26:1793–800.CrossRefPubMed
22.
go back to reference Pfaller MA, Boyken L, Hollis RJ, et al. Wild-type MIC distributions and epidemiological cutoff values for the echinocandins and Candida spp. J Clin Microbiol. 2010;48:52–6.CrossRefPubMed Pfaller MA, Boyken L, Hollis RJ, et al. Wild-type MIC distributions and epidemiological cutoff values for the echinocandins and Candida spp. J Clin Microbiol. 2010;48:52–6.CrossRefPubMed
23.
go back to reference Pfaller MA, Diekema DJ, Andes D, et al. Clinical breakpoints for the echinocandins and Candida revisited: integration of molecular, clinical, and microbiological data to arrive at species-specific interpretive criteria. Drug Resist Updat. 2011;14:164–76.CrossRefPubMed Pfaller MA, Diekema DJ, Andes D, et al. Clinical breakpoints for the echinocandins and Candida revisited: integration of molecular, clinical, and microbiological data to arrive at species-specific interpretive criteria. Drug Resist Updat. 2011;14:164–76.CrossRefPubMed
24.
go back to reference Hebert MF, Smith HE, Marbury TC, et al. Pharmacokinetics of micafungin in healthy volunteers, volunteers with moderate liver disease, and volunteers with renal dysfunction. J Clin Pharmacol. 2005;45:1145–52.CrossRefPubMed Hebert MF, Smith HE, Marbury TC, et al. Pharmacokinetics of micafungin in healthy volunteers, volunteers with moderate liver disease, and volunteers with renal dysfunction. J Clin Pharmacol. 2005;45:1145–52.CrossRefPubMed
25.
go back to reference Undre NA, Stevenson P, Kuse ER, Demeyer I. Pharmacokinetics of micafungin in adult patients with invasive candidiasis and candidemia. Open J Med Microbiol. 2012;2:84–90.CrossRef Undre NA, Stevenson P, Kuse ER, Demeyer I. Pharmacokinetics of micafungin in adult patients with invasive candidiasis and candidemia. Open J Med Microbiol. 2012;2:84–90.CrossRef
26.
go back to reference Maseda E, Grau S, Villagran MJ, et al. Micafungin pharmacokinetic/pharmacodynamic adequacy for the treatment of invasive candidiasis in critically ill patients on continuous venovenous haemofiltration. J Antimicrob Chemother. 2014;69:1624–32.CrossRefPubMed Maseda E, Grau S, Villagran MJ, et al. Micafungin pharmacokinetic/pharmacodynamic adequacy for the treatment of invasive candidiasis in critically ill patients on continuous venovenous haemofiltration. J Antimicrob Chemother. 2014;69:1624–32.CrossRefPubMed
27.
go back to reference Grau S, Luque S, Campillo N, et al. Plasma and peritoneal fluid population pharmacokinetics of micafungin in post-surgical patients with severe peritonitis. J Antimicrob Chemother. 2015;70:2854–61.CrossRefPubMed Grau S, Luque S, Campillo N, et al. Plasma and peritoneal fluid population pharmacokinetics of micafungin in post-surgical patients with severe peritonitis. J Antimicrob Chemother. 2015;70:2854–61.CrossRefPubMed
28.
go back to reference Garcia-de-Lorenzo A, Luque S, Grau S, et al. Comparative population plasma and tissue pharmacokinetics of micafungin in critically ill patients with severe burn injuries and patients with complicated intra-abdominal infection. Antimicrob Agents Chemother. 2016;60:5914–21.CrossRefPubMedPubMedCentral Garcia-de-Lorenzo A, Luque S, Grau S, et al. Comparative population plasma and tissue pharmacokinetics of micafungin in critically ill patients with severe burn injuries and patients with complicated intra-abdominal infection. Antimicrob Agents Chemother. 2016;60:5914–21.CrossRefPubMedPubMedCentral
29.
go back to reference Jullien V, Azoulay E, Schwebel C, et al. Population pharmacokinetics of micafungin in ICU patients with sepsis and mechanical ventilation. J Antimicrob Chemother. 2017;72(1):181–9.CrossRefPubMed Jullien V, Azoulay E, Schwebel C, et al. Population pharmacokinetics of micafungin in ICU patients with sepsis and mechanical ventilation. J Antimicrob Chemother. 2017;72(1):181–9.CrossRefPubMed
30.
go back to reference Alobaid AS, Hites M, Lipman J, et al. Effect of obesity on the pharmacokinetics of antimicrobials in critically ill patients: a structured review. Int J Antimicrob Agents. 2016;47:259–68.CrossRefPubMed Alobaid AS, Hites M, Lipman J, et al. Effect of obesity on the pharmacokinetics of antimicrobials in critically ill patients: a structured review. Int J Antimicrob Agents. 2016;47:259–68.CrossRefPubMed
31.
go back to reference Roberts JA, Abdul-Aziz MH, Lipman J, et al. Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions. Lancet Infect Dis. 2014;14:498–509.CrossRefPubMedPubMedCentral Roberts JA, Abdul-Aziz MH, Lipman J, et al. Individualised antibiotic dosing for patients who are critically ill: challenges and potential solutions. Lancet Infect Dis. 2014;14:498–509.CrossRefPubMedPubMedCentral
32.
go back to reference Roberts JA, Lipman J. Pharmacokinetic issues for antibiotics in the critically ill patient. Crit Care Med. 2009;37:840–51 (quiz 59).CrossRefPubMed Roberts JA, Lipman J. Pharmacokinetic issues for antibiotics in the critically ill patient. Crit Care Med. 2009;37:840–51 (quiz 59).CrossRefPubMed
33.
go back to reference Martial LC, Bruggemann RJ, Schouten JA, et al. Dose reduction of caspofungin in intensive care unit patients with Child Pugh B will result in suboptimal exposure. Clin Pharmacokinet. 2016;55:723–33.CrossRefPubMed Martial LC, Bruggemann RJ, Schouten JA, et al. Dose reduction of caspofungin in intensive care unit patients with Child Pugh B will result in suboptimal exposure. Clin Pharmacokinet. 2016;55:723–33.CrossRefPubMed
34.
go back to reference Liu P, Ruhnke M, Meersseman W, et al. Pharmacokinetics of anidulafungin in critically ill patients with candidemia/invasive candidiasis. Antimicrob Agents Chemother. 2013;57:1672–6.CrossRefPubMedPubMedCentral Liu P, Ruhnke M, Meersseman W, et al. Pharmacokinetics of anidulafungin in critically ill patients with candidemia/invasive candidiasis. Antimicrob Agents Chemother. 2013;57:1672–6.CrossRefPubMedPubMedCentral
35.
go back to reference Blot SI, Pea F, Lipman J. The effect of pathophysiology on pharmacokinetics in the critically ill patient: concepts appraised by the example of antimicrobial agents. Adv Drug Deliv Rev. 2014;77:3–11.CrossRefPubMed Blot SI, Pea F, Lipman J. The effect of pathophysiology on pharmacokinetics in the critically ill patient: concepts appraised by the example of antimicrobial agents. Adv Drug Deliv Rev. 2014;77:3–11.CrossRefPubMed
36.
go back to reference Colin P, Eleveld DJ, Jonckheere S, et al. What about confidence intervals? A word of caution when interpreting PTA simulations. J Antimicrob Chemother. 2016;71:2502–8.CrossRefPubMed Colin P, Eleveld DJ, Jonckheere S, et al. What about confidence intervals? A word of caution when interpreting PTA simulations. J Antimicrob Chemother. 2016;71:2502–8.CrossRefPubMed
Metadata
Title
Population Pharmacokinetic Model and Pharmacokinetic Target Attainment of Micafungin in Intensive Care Unit Patients
Authors
Lisa C. Martial
Rob ter Heine
Jeroen A. Schouten
Nicole G. Hunfeld
Henk J. van Leeuwen
Paul E. Verweij
Dylan W. de Lange
Peter Pickkers
Roger J. Brüggemann
Publication date
01-10-2017
Publisher
Springer International Publishing
Published in
Clinical Pharmacokinetics / Issue 10/2017
Print ISSN: 0312-5963
Electronic ISSN: 1179-1926
DOI
https://doi.org/10.1007/s40262-017-0509-5

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