Population pharmacokinetics of daptomycin in critically ill patients

•A population PK model for daptomycin in critically ill patients was performed.•Daptomycin clearance depended on creatinine clearance and extracorporeal clearance.•PK/PD analysis showed that with the approved dosages, patients are often underdosed.•Dosage should consider renal function and the use o...

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Published inInternational journal of antimicrobial agents Vol. 52; no. 2; pp. 158 - 165
Main Authors Soraluce, A., Asín-Prieto, E., Rodríguez-Gascón, A., Barrasa, H., Maynar, J., Carcelero, E., Soy, D., Isla, A.
Format Journal Article
LanguageEnglish
Published Netherlands Elsevier B.V 01.08.2018
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ISSN0924-8579
1872-7913
1872-7913
DOI10.1016/j.ijantimicag.2018.03.008

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Abstract •A population PK model for daptomycin in critically ill patients was performed.•Daptomycin clearance depended on creatinine clearance and extracorporeal clearance.•PK/PD analysis showed that with the approved dosages, patients are often underdosed.•Dosage should consider renal function and the use of renal replacement therapies. Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC24/MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cminss) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560–840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.
AbstractList •A population PK model for daptomycin in critically ill patients was performed.•Daptomycin clearance depended on creatinine clearance and extracorporeal clearance.•PK/PD analysis showed that with the approved dosages, patients are often underdosed.•Dosage should consider renal function and the use of renal replacement therapies. Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC24/MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cminss) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560–840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.
Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC24/MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cminss) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560–840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.
Highlights•A population PK model for daptomycin in critically ill patients was performed. •Daptomycin clearance depended on creatinine clearance and extracorporeal clearance. •PK/PD analysis showed that with the approved dosages, patients are often underdosed. •Dosage should consider renal function and the use of renal replacement therapies.
Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC24/MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cminss) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560-840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC24/MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cminss) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560-840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.
Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill patients. The aim of this study was to develop a population pharmacokinetic model for daptomycin in critically ill patients and to estimate the success of the therapy by applying pharmacokinetic/pharmacodynamic (PK/PD) criteria. Sixteen intensive care unit patients were included, four of whom underwent continuous renal replacement therapies (CRRT). Blood and, when necessary, effluent samples were drawn after daptomycin administration at previously defined time points. A population approach using NONMEM 7.3 was performed to analyse data. Monte Carlo simulations were executed to evaluate the suitability of different dosage regimens. The probabilities of achieving the PK/PD target value associated with treatment success (ratio of the area under the plasma concentration-time curve over 24 h divided by the minimum inhibitory concentration (AUC /MIC ≥ 666)) and to reach daptomycin concentrations linked to toxicity (minimum concentration at steady-state (Cmin ) ≥ 24.3 mg/L) were calculated. The pharmacokinetics of daptomycin was best described by a one-compartment model. Elimination was conditioned by the creatinine clearance (Clcr) and also by the extra-corporeal clearance when patients were subjected to continuous renal replacement therapy (CRRT). The PK/PD analysis confirmed that 280- and 420-mg/d dosages would not be enough to achieve high probabilities of target attainment for MIC values ≥ 1 mg/L in patients with Clcr ≥ 60 mL/min or in subjects with lower Clcrs but receiving CRRT. In these patients, higher dosages (560-840 mg/d) should be needed. When treating infections due to MIC values ≥ 4 mg/L, even the highest dose would be insufficient.
Author Rodríguez-Gascón, A.
Maynar, J.
Barrasa, H.
Soraluce, A.
Soy, D.
Isla, A.
Carcelero, E.
Asín-Prieto, E.
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  surname: Asín-Prieto
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  organization: Pharmacokinetics, Nanotechnology and Gene Therapy Group, Faculty of Pharmacy. Centro de Investigación Lascaray-ikergunea, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
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  organization: Pharmacokinetics, Nanotechnology and Gene Therapy Group, Faculty of Pharmacy. Centro de Investigación Lascaray-ikergunea, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
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  organization: Intensive Care Unit, University Hospital Araba, Vitoria-Gasteiz, Spain
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  surname: Maynar
  fullname: Maynar, J.
  organization: Intensive Care Unit, University Hospital Araba, Vitoria-Gasteiz, Spain
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  surname: Carcelero
  fullname: Carcelero, E.
  organization: Pharmacy Department, Hospital Clinic Barcelona – Division of Medicines, Barcelona, Spain
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  fullname: Soy, D.
  organization: Pharmacy Department, Hospital Clinic Barcelona – Division of Medicines, Barcelona, Spain
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  orcidid: 0000-0001-7575-2715
  surname: Isla
  fullname: Isla, A.
  email: arantxa.isla@ehu.eus
  organization: Pharmacokinetics, Nanotechnology and Gene Therapy Group, Faculty of Pharmacy. Centro de Investigación Lascaray-ikergunea, University of the Basque Country UPV/EHU, Vitoria-Gasteiz, Spain
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Cites_doi 10.1016/j.bbamem.2006.02.009
10.1007/s10156-012-0501-9
10.1128/AAC.02597-15
10.1016/j.addr.2014.07.006
10.1016/j.orcp.2014.04.001
10.1093/jac/dkt342
10.1016/j.ijantimicag.2015.10.009
10.1016/S0169-2607(98)00067-4
10.1093/jac/46.4.523
10.1159/000097078
10.1128/AAC.48.8.2799-2807.2004
10.1097/CCM.0b013e3181fa36fb
10.5414/CP201626
10.1093/cid/cit582
10.1007/s10096-012-1560-7
10.1097/MCC.0000000000000229
10.1128/AAC.48.1.63-68.2004
10.1007/s10156-013-0559-z
10.1128/AAC.00247-06
10.1093/jac/dki079
10.1097/01.inf.0000094940.81959.14
10.1086/652767
10.1016/j.cmpb.2010.04.018
10.1016/j.ijantimicag.2015.11.005
10.1128/AAC.02355-14
10.1128/AAC.45.3.845-851.2001
10.1016/j.ijantimicag.2013.06.006
10.1016/j.jiac.2015.02.001
10.1093/cid/ciq146
10.1128/AAC.01011-09
10.1001/jama.2009.1754
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Keywords Pharmacokinetics
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Continuous renal replacement therapies
Daptomycin
Pharmacokinetic/pharmacodynamic analysis
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References Di Paolo, Tascini, Polillo, Gemignani, Nielsen, Bocci (bib0022) 2013; 42
Nguyen, Fong, Ullah, Lovell, Thompson (bib0009) 2015; 9
Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing. 26th Edition. M100-S26. CLSI, Wayne, PA, USA, 2016.
Chaves, Chakraborty, Benziger, Tannenbaum (bib0027) 2014; 69
Benvenuto, Benziger, Yankelev, Vigliani (bib0004) 2006; 50
Falcone, Russo, Venditti, Novelli, Pai (bib0031) 2013; 57
Safdar, Andes, Craig (bib0014) 2004; 48
Scaglione (bib0006) 2015; 46
Straus, Hancock (bib0002) 2006; 1758
Falcone, Russo, Cassetta, Lappa, Tritapepe, d'Ettorre (bib0025) 2013; 19
bib0034
Bradley, Dudley, Drusano (bib0019) 2003; 22
Bhavnani, Rubino, Ambrose, Drusano (bib0020) 2010; 50
Senneville, Caillon, Calvet, Jehl (bib0035) 2016; 47
Vincent, Rello, Marshall, Silva, Anzueto, Martin (bib0005) 2009; 302
Keizer, van Benten, Beijnen, Schellens, Huitema (bib0012) 2011; 101
Dvorchik, Arbeit, Chung, Liu, Knebel, Kastrissios (bib0021) 2004; 48
Tsai, Lipman, Roberts (bib0008) 2015; 21
Canut, Isla, Betriu, Gascón (bib0015) 2012; 31
Goutelle, Roux, Gagnieu, Valour, Lustig, Ader (bib0026) 2016; 60
García-de-la-María, Marco, Armero, Soy, Moreno, Del Río (bib0037) 2010; 54
Vilay, Grio, Depestel, Sowinski, Gao, Heung (bib0029) 2011; 39
Lavielle (bib0016)
bib0018
Khadzhynov, Slowinski, Lieker, Spies, Puhlmann, König (bib0030) 2011; 49
Liu, Bayer, Cosgrove, Daum, Fridkin, Gorwitz (bib0036) 2011; 52
Aikawa, Kusachi, Mikamo, Takesue, Watanabe, Tanaka (bib0024) 2013; 19
Churchwell, Pasko, Mueller (bib0028) 2006; 24
Jonsson, Karlsson (bib0011) 1999; 58
Tally, DeBruin (bib0001) 2000; 46
Mouton, Dudley, Cars, Derendorf, Drusano (bib0017) 2005; 55
Blot, Pea, Lipman (bib0007) 2014; 77
bib0003
Asín-Prieto, Rodriguez-Gascón, Isla (bib0032) 2015; 21
Pai, Russo, Novelli, Venditti, Falcone (bib0023) 2014; 58
Beal, Sheiner, Boeckmann, Bauer (bib0010) 2009
Louie, Kaw, Liu, Jumbe, Miller, Drusano (bib0013) 2001; 45
Beal (10.1016/j.ijantimicag.2018.03.008_bib0010) 2009
Falcone (10.1016/j.ijantimicag.2018.03.008_bib0031) 2013; 57
10.1016/j.ijantimicag.2018.03.008_bib0033
Dvorchik (10.1016/j.ijantimicag.2018.03.008_bib0021) 2004; 48
Straus (10.1016/j.ijantimicag.2018.03.008_bib0002) 2006; 1758
Falcone (10.1016/j.ijantimicag.2018.03.008_bib0025) 2013; 19
Khadzhynov (10.1016/j.ijantimicag.2018.03.008_bib0030) 2011; 49
Asín-Prieto (10.1016/j.ijantimicag.2018.03.008_bib0032) 2015; 21
Bradley (10.1016/j.ijantimicag.2018.03.008_bib0019) 2003; 22
Goutelle (10.1016/j.ijantimicag.2018.03.008_bib0026) 2016; 60
Tally (10.1016/j.ijantimicag.2018.03.008_bib0001) 2000; 46
Aikawa (10.1016/j.ijantimicag.2018.03.008_bib0024) 2013; 19
Keizer (10.1016/j.ijantimicag.2018.03.008_bib0012) 2011; 101
Chaves (10.1016/j.ijantimicag.2018.03.008_bib0027) 2014; 69
Pai (10.1016/j.ijantimicag.2018.03.008_bib0023) 2014; 58
Nguyen (10.1016/j.ijantimicag.2018.03.008_bib0009) 2015; 9
Benvenuto (10.1016/j.ijantimicag.2018.03.008_bib0004) 2006; 50
Lavielle (10.1016/j.ijantimicag.2018.03.008_bib0016)
Safdar (10.1016/j.ijantimicag.2018.03.008_bib0014) 2004; 48
García-de-la-María (10.1016/j.ijantimicag.2018.03.008_bib0037) 2010; 54
Di Paolo (10.1016/j.ijantimicag.2018.03.008_bib0022) 2013; 42
Canut (10.1016/j.ijantimicag.2018.03.008_bib0015) 2012; 31
Blot (10.1016/j.ijantimicag.2018.03.008_bib0007) 2014; 77
Louie (10.1016/j.ijantimicag.2018.03.008_bib0013) 2001; 45
Vincent (10.1016/j.ijantimicag.2018.03.008_bib0005) 2009; 302
Vilay (10.1016/j.ijantimicag.2018.03.008_bib0029) 2011; 39
Scaglione (10.1016/j.ijantimicag.2018.03.008_bib0006) 2015; 46
Tsai (10.1016/j.ijantimicag.2018.03.008_bib0008) 2015; 21
Churchwell (10.1016/j.ijantimicag.2018.03.008_bib0028) 2006; 24
Senneville (10.1016/j.ijantimicag.2018.03.008_bib0035) 2016; 47
Mouton (10.1016/j.ijantimicag.2018.03.008_bib0017) 2005; 55
Liu (10.1016/j.ijantimicag.2018.03.008_bib0036) 2011; 52
Bhavnani (10.1016/j.ijantimicag.2018.03.008_bib0020) 2010; 50
Jonsson (10.1016/j.ijantimicag.2018.03.008_bib0011) 1999; 58
References_xml – volume: 101
  start-page: 72
  year: 2011
  end-page: 79
  ident: bib0012
  article-title: Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM
  publication-title: Comput Methods Programs Biomed
– volume: 60
  start-page: 3148
  year: 2016
  end-page: 3151
  ident: bib0026
  article-title: Pharmacokinetic variability of daptomycin during prolonged therapy for bone and joint infections
  publication-title: Antimicrob Agents Chemother
– volume: 50
  start-page: 1568
  year: 2010
  end-page: 1574
  ident: bib0020
  article-title: Daptomycin exposure and the probability of elevations in the creatine phosphokinase level: data from a randomized trial of patients with bacteremia and endocarditis
  publication-title: Clin Infect Dis
– volume: 1758
  start-page: 1215
  year: 2006
  end-page: 1223
  ident: bib0002
  article-title: Mode of action of the new antibiotic for Gram-positive pathogens daptomycin: comparison with cationic antimicrobial peptides and lipopeptides
  publication-title: Biochim Biohys Acta
– volume: 31
  start-page: 2227
  year: 2012
  end-page: 2235
  ident: bib0015
  article-title: Pharmacokinetic-pharmacodynamic evaluation of daptomycin, tigecycline, and linezolid versus vancomycin for the treatment of MRSA infections in four western European countries
  publication-title: Eur J Clin Microbiol Infect Dis
– volume: 19
  start-page: 732
  year: 2013
  end-page: 739
  ident: bib0025
  article-title: Variability of pharmacokinetic parameters in patients receiving different dosages of daptomycin: is therapeutic drug monitoring necessary?
  publication-title: J Infect Chemother
– volume: 46
  start-page: S40
  year: 2015
  end-page: S42
  ident: bib0006
  article-title: Can we transfer pharmacokinetics/pharmacodynamics of antimicrobials into clinical practice?
  publication-title: Int J Antimicrob Agents
– volume: 58
  start-page: 3162
  year: 2014
  end-page: 3167
  ident: bib0023
  article-title: simplified equations using two concentrations to calculate area under the curve for antimicrobials with concentration-dependent pharmacodynamics: daptomycin as a motivating example
  publication-title: Antimicrob Agents Chemother
– reference: Clinical and Laboratory Standards Institute. Performance Standards for Antimicrobial Susceptibility Testing. 26th Edition. M100-S26. CLSI, Wayne, PA, USA, 2016.
– volume: 19
  start-page: 447
  year: 2013
  end-page: 455
  ident: bib0024
  article-title: Efficacy and safety of intravenous daptomycin in Japanese patients with skin and soft tissue infections
  publication-title: J Infect Chemother
– volume: 50
  start-page: 3245
  year: 2006
  end-page: 3249
  ident: bib0004
  article-title: Pharmacokinetics and tolerability of daptomycin at doses up to 12 milligrams per kilogram of body weight once daily in healthy volunteers
  publication-title: Antimicrob Agents Chemother
– volume: 21
  start-page: 412
  year: 2015
  end-page: 420
  ident: bib0008
  article-title: Pharmacokinetic/pharmacodynamic considerations for the optimization of antimicrobial delivery in the critically ill
  publication-title: Curr Opin Crit Care
– volume: 57
  start-page: 1568
  year: 2013
  end-page: 1576
  ident: bib0031
  article-title: Considerations for higher doses of daptomycin in critically ill patients with methicillin-resistant
  publication-title: Clin Infect Dis
– volume: 21
  start-page: 319
  year: 2015
  end-page: 329
  ident: bib0032
  article-title: Applications of the pharmacokinetic/pharmacodynamic (PK/PD) analysis of antimicrobial agents
  publication-title: J Infect Chemother
– volume: 47
  start-page: 12
  year: 2016
  end-page: 19
  ident: bib0035
  article-title: Towards a definition of daptomycin optimal dose: Lessons learned from experimental and clinical data
  publication-title: Int J Antimicrob Agents
– volume: 9
  start-page: 152
  year: 2015
  end-page: 157
  ident: bib0009
  article-title: Estimating glomerular filtration rate in obese subjects
  publication-title: Obes Res Clin Pract
– volume: 22
  start-page: 982
  year: 2003
  end-page: 992
  ident: bib0019
  article-title: Predicting efficacy of antiinfectives with pharmacodynamics and Monte Carlo simulation
  publication-title: Pediatr Infect Dis J
– year: 2009
  ident: bib0010
  article-title: NONMEM User's Guides. (1989–2009)
– ident: bib0034
  article-title: Breakpoint tables for interpretation of MICs and zone diameters
– volume: 55
  start-page: 601
  year: 2005
  end-page: 607
  ident: bib0017
  article-title: Standardization of pharmacokinetic/ pharmacodynamic (PK/PD) terminology for anti-infective drugs: an update
  publication-title: J Antimicrob Chemother
– volume: 48
  start-page: 2799
  year: 2004
  end-page: 2807
  ident: bib0021
  article-title: Population pharmacokinetics of daptomycin
  publication-title: Antimicrob Agents Chemother
– volume: 42
  start-page: 250
  year: 2013
  end-page: 255
  ident: bib0022
  article-title: Population pharmacokinetics of daptomycin in patients affected by severe Gram-positive infections
  publication-title: Int J Antimicrob Agents
– volume: 39
  start-page: 19
  year: 2011
  end-page: 25
  ident: bib0029
  article-title: Daptomycin pharmacokinetics in critically ill patients receiving continuous venovenous hemodialysis
  publication-title: Crit Care Med
– volume: 69
  start-page: 200
  year: 2014
  end-page: 210
  ident: bib0027
  article-title: Clinical and pharmacokinetic considerations for the use of daptomycin in patients with
  publication-title: J Antimicrob Chemother
– volume: 48
  start-page: 63
  year: 2004
  end-page: 68
  ident: bib0014
  article-title: In vivo pharmacodynamic activity of daptomycin
  publication-title: Antimicrob Agents Chemother
– volume: 46
  start-page: 523
  year: 2000
  end-page: 526
  ident: bib0001
  article-title: Development of daptomycin for Gram-positive infections
  publication-title: J Antimicrob Chemother
– ident: bib0016
  article-title: mlxR: Simulation of Longitudinal Data
– volume: 302
  start-page: 2323
  year: 2009
  end-page: 2329
  ident: bib0005
  article-title: International study of the prevalence and outcomes of infection in intensive care units
  publication-title: JAMA
– ident: bib0018
– volume: 49
  start-page: 656
  year: 2011
  end-page: 665
  ident: bib0030
  article-title: Plasma pharmacokinetics of daptomycin in critically ill patients with renal failure and undergoing CVVHD
  publication-title: Int J Clin Pharmacol Ther
– ident: bib0003
  article-title: Cubicin
– volume: 52
  start-page: e18
  year: 2011
  end-page: e55
  ident: bib0036
  article-title: Clinical practice guidelines by the infectious diseases society of america for the treatment of methicillin-resistant
  publication-title: Clin Infect Dis
– volume: 54
  start-page: 2781
  year: 2010
  end-page: 2786
  ident: bib0037
  article-title: Daptomycin is effective for treatment of experimental endocarditis due to methicillin-resistant and glycopeptide-intermediate
  publication-title: Antimicrob Agents Chemother
– volume: 58
  start-page: 51
  year: 1999
  end-page: 64
  ident: bib0011
  article-title: Xpose–an S-PLUS based population pharmacokinetic/ pharmacodynamic model building aid for NONMEM
  publication-title: Comput Methods Programs Biomed
– volume: 45
  start-page: 845
  year: 2001
  end-page: 851
  ident: bib0013
  article-title: Pharmacodynamics of daptomycin in a murine-thigh model of
  publication-title: Antimicrob Agents Chemother
– volume: 24
  start-page: 548
  year: 2006
  end-page: 554
  ident: bib0028
  article-title: Daptomycin clearance during modeled continuous renal replacement therapy
  publication-title: Blood Purif
– volume: 77
  start-page: 3
  year: 2014
  end-page: 11
  ident: bib0007
  article-title: The effect of pathophysiology on pharmacokinetics in the critically ill patient - concepts appraised by the example of antimicrobial agents
  publication-title: Adv Drug Deliv Rev
– year: 2009
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0010
– volume: 1758
  start-page: 1215
  issue: 9
  year: 2006
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0002
  article-title: Mode of action of the new antibiotic for Gram-positive pathogens daptomycin: comparison with cationic antimicrobial peptides and lipopeptides
  publication-title: Biochim Biohys Acta
  doi: 10.1016/j.bbamem.2006.02.009
– volume: 19
  start-page: 447
  issue: 3
  year: 2013
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0024
  article-title: Efficacy and safety of intravenous daptomycin in Japanese patients with skin and soft tissue infections
  publication-title: J Infect Chemother
  doi: 10.1007/s10156-012-0501-9
– volume: 60
  start-page: 3148
  issue: 5
  year: 2016
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0026
  article-title: Pharmacokinetic variability of daptomycin during prolonged therapy for bone and joint infections
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.02597-15
– volume: 77
  start-page: 3
  year: 2014
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0007
  article-title: The effect of pathophysiology on pharmacokinetics in the critically ill patient - concepts appraised by the example of antimicrobial agents
  publication-title: Adv Drug Deliv Rev
  doi: 10.1016/j.addr.2014.07.006
– volume: 9
  start-page: 152
  issue: 2
  year: 2015
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0009
  article-title: Estimating glomerular filtration rate in obese subjects
  publication-title: Obes Res Clin Pract
  doi: 10.1016/j.orcp.2014.04.001
– volume: 69
  start-page: 200
  issue: 1
  year: 2014
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0027
  article-title: Clinical and pharmacokinetic considerations for the use of daptomycin in patients with Staphylococcus aureus bacteraemia and severe renal impairment
  publication-title: J Antimicrob Chemother
  doi: 10.1093/jac/dkt342
– volume: 46
  start-page: S40
  issue: Suppl 1
  year: 2015
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0006
  article-title: Can we transfer pharmacokinetics/pharmacodynamics of antimicrobials into clinical practice?
  publication-title: Int J Antimicrob Agents
  doi: 10.1016/j.ijantimicag.2015.10.009
– volume: 58
  start-page: 51
  issue: 1
  year: 1999
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0011
  article-title: Xpose–an S-PLUS based population pharmacokinetic/ pharmacodynamic model building aid for NONMEM
  publication-title: Comput Methods Programs Biomed
  doi: 10.1016/S0169-2607(98)00067-4
– volume: 46
  start-page: 523
  issue: 4
  year: 2000
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0001
  article-title: Development of daptomycin for Gram-positive infections
  publication-title: J Antimicrob Chemother
  doi: 10.1093/jac/46.4.523
– volume: 24
  start-page: 548
  year: 2006
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0028
  article-title: Daptomycin clearance during modeled continuous renal replacement therapy
  publication-title: Blood Purif
  doi: 10.1159/000097078
– volume: 48
  start-page: 2799
  issue: 8
  year: 2004
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0021
  article-title: Population pharmacokinetics of daptomycin
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.48.8.2799-2807.2004
– volume: 39
  start-page: 19
  year: 2011
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0029
  article-title: Daptomycin pharmacokinetics in critically ill patients receiving continuous venovenous hemodialysis
  publication-title: Crit Care Med
  doi: 10.1097/CCM.0b013e3181fa36fb
– volume: 49
  start-page: 656
  year: 2011
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0030
  article-title: Plasma pharmacokinetics of daptomycin in critically ill patients with renal failure and undergoing CVVHD
  publication-title: Int J Clin Pharmacol Ther
  doi: 10.5414/CP201626
– volume: 57
  start-page: 1568
  issue: 11
  year: 2013
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0031
  article-title: Considerations for higher doses of daptomycin in critically ill patients with methicillin-resistant Staphylococcus aureus bacteremia
  publication-title: Clin Infect Dis
  doi: 10.1093/cid/cit582
– volume: 31
  start-page: 2227
  issue: 9
  year: 2012
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0015
  article-title: Pharmacokinetic-pharmacodynamic evaluation of daptomycin, tigecycline, and linezolid versus vancomycin for the treatment of MRSA infections in four western European countries
  publication-title: Eur J Clin Microbiol Infect Dis
  doi: 10.1007/s10096-012-1560-7
– volume: 21
  start-page: 412
  issue: 5
  year: 2015
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0008
  article-title: Pharmacokinetic/pharmacodynamic considerations for the optimization of antimicrobial delivery in the critically ill
  publication-title: Curr Opin Crit Care
  doi: 10.1097/MCC.0000000000000229
– ident: 10.1016/j.ijantimicag.2018.03.008_bib0033
– volume: 48
  start-page: 63
  year: 2004
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0014
  article-title: In vivo pharmacodynamic activity of daptomycin
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.48.1.63-68.2004
– volume: 19
  start-page: 732
  year: 2013
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0025
  article-title: Variability of pharmacokinetic parameters in patients receiving different dosages of daptomycin: is therapeutic drug monitoring necessary?
  publication-title: J Infect Chemother
  doi: 10.1007/s10156-013-0559-z
– ident: 10.1016/j.ijantimicag.2018.03.008_bib0016
– volume: 50
  start-page: 3245
  issue: 10
  year: 2006
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0004
  article-title: Pharmacokinetics and tolerability of daptomycin at doses up to 12 milligrams per kilogram of body weight once daily in healthy volunteers
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.00247-06
– volume: 55
  start-page: 601
  issue: 5
  year: 2005
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0017
  article-title: Standardization of pharmacokinetic/ pharmacodynamic (PK/PD) terminology for anti-infective drugs: an update
  publication-title: J Antimicrob Chemother
  doi: 10.1093/jac/dki079
– volume: 22
  start-page: 982
  issue: 11
  year: 2003
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0019
  article-title: Predicting efficacy of antiinfectives with pharmacodynamics and Monte Carlo simulation
  publication-title: Pediatr Infect Dis J
  doi: 10.1097/01.inf.0000094940.81959.14
– volume: 50
  start-page: 1568
  issue: 12
  year: 2010
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0020
  article-title: Daptomycin exposure and the probability of elevations in the creatine phosphokinase level: data from a randomized trial of patients with bacteremia and endocarditis
  publication-title: Clin Infect Dis
  doi: 10.1086/652767
– volume: 101
  start-page: 72
  issue: 1
  year: 2011
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0012
  article-title: Piraña and PCluster: a modeling environment and cluster infrastructure for NONMEM
  publication-title: Comput Methods Programs Biomed
  doi: 10.1016/j.cmpb.2010.04.018
– volume: 47
  start-page: 12
  issue: 1
  year: 2016
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0035
  article-title: Towards a definition of daptomycin optimal dose: Lessons learned from experimental and clinical data
  publication-title: Int J Antimicrob Agents
  doi: 10.1016/j.ijantimicag.2015.11.005
– volume: 58
  start-page: 3162
  issue: 6
  year: 2014
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0023
  article-title: simplified equations using two concentrations to calculate area under the curve for antimicrobials with concentration-dependent pharmacodynamics: daptomycin as a motivating example
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.02355-14
– volume: 45
  start-page: 845
  year: 2001
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0013
  article-title: Pharmacodynamics of daptomycin in a murine-thigh model of Staphylococcus aureus infection
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.45.3.845-851.2001
– volume: 42
  start-page: 250
  issue: 3
  year: 2013
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0022
  article-title: Population pharmacokinetics of daptomycin in patients affected by severe Gram-positive infections
  publication-title: Int J Antimicrob Agents
  doi: 10.1016/j.ijantimicag.2013.06.006
– volume: 21
  start-page: 319
  issue: 5
  year: 2015
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0032
  article-title: Applications of the pharmacokinetic/pharmacodynamic (PK/PD) analysis of antimicrobial agents
  publication-title: J Infect Chemother
  doi: 10.1016/j.jiac.2015.02.001
– volume: 52
  start-page: e18
  issue: 3
  year: 2011
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0036
  article-title: Clinical practice guidelines by the infectious diseases society of america for the treatment of methicillin-resistant Staphylococcus aureus infections in adults and children
  publication-title: Clin Infect Dis
  doi: 10.1093/cid/ciq146
– volume: 54
  start-page: 2781
  issue: 7
  year: 2010
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0037
  article-title: Daptomycin is effective for treatment of experimental endocarditis due to methicillin-resistant and glycopeptide-intermediate Staphylococcus epidermidis
  publication-title: Antimicrob Agents Chemother
  doi: 10.1128/AAC.01011-09
– volume: 302
  start-page: 2323
  year: 2009
  ident: 10.1016/j.ijantimicag.2018.03.008_bib0005
  article-title: International study of the prevalence and outcomes of infection in intensive care units
  publication-title: JAMA
  doi: 10.1001/jama.2009.1754
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Snippet •A population PK model for daptomycin in critically ill patients was performed.•Daptomycin clearance depended on creatinine clearance and extracorporeal...
Highlights•A population PK model for daptomycin in critically ill patients was performed. •Daptomycin clearance depended on creatinine clearance and...
Daptomycin has shown activity against a wide range of Gram-positive bacteria; however, the approved dosages usually seem insufficient for critically ill...
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StartPage 158
SubjectTerms Acute Kidney Injury - pathology
Acute Kidney Injury - therapy
Aged
Aged, 80 and over
Anti-Bacterial Agents - blood
Anti-Bacterial Agents - pharmacokinetics
Area Under Curve
blood
Continuous renal replacement therapies
creatinine
Creatinine - blood
Critical Illness
Critically ill
Daptomycin
Daptomycin - blood
Daptomycin - pharmacokinetics
data analysis
Drug Administration Schedule
Drug Dosage Calculations
Female
Gram-positive bacteria
Humans
Infectious Disease
Intensive Care Units
Male
Microbial Sensitivity Tests
Middle Aged
minimum inhibitory concentration
Monte Carlo Method
patients
pharmacodynamics
Pharmacokinetic/pharmacodynamic analysis
Pharmacokinetics
Prospective Studies
Renal Dialysis - instrumentation
Renal Dialysis - methods
therapeutics
toxicity
Title Population pharmacokinetics of daptomycin in critically ill patients
URI https://www.clinicalkey.com/#!/content/1-s2.0-S0924857918300797
https://www.clinicalkey.es/playcontent/1-s2.0-S0924857918300797
https://dx.doi.org/10.1016/j.ijantimicag.2018.03.008
https://www.ncbi.nlm.nih.gov/pubmed/29572042
https://www.proquest.com/docview/2018025897
https://www.proquest.com/docview/2116884055
Volume 52
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