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...
Saved in:
Published in | International journal of antimicrobial agents Vol. 52; no. 2; pp. 158 - 165 |
---|---|
Main Authors | , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Netherlands
Elsevier B.V
01.08.2018
|
Subjects | |
Online Access | Get full text |
ISSN | 0924-8579 1872-7913 1872-7913 |
DOI | 10.1016/j.ijantimicag.2018.03.008 |
Cover
Loading…
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. |
Author_xml | – sequence: 1 givenname: A. surname: Soraluce fullname: Soraluce, A. 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 – sequence: 2 givenname: E. orcidid: 0000-0001-9122-6758 surname: Asín-Prieto fullname: Asín-Prieto, E. 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 – sequence: 3 givenname: A. surname: Rodríguez-Gascón fullname: Rodríguez-Gascón, A. 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 – sequence: 4 givenname: H. surname: Barrasa fullname: Barrasa, H. organization: Intensive Care Unit, University Hospital Araba, Vitoria-Gasteiz, Spain – sequence: 5 givenname: J. surname: Maynar fullname: Maynar, J. organization: Intensive Care Unit, University Hospital Araba, Vitoria-Gasteiz, Spain – sequence: 6 givenname: E. surname: Carcelero fullname: Carcelero, E. organization: Pharmacy Department, Hospital Clinic Barcelona – Division of Medicines, Barcelona, Spain – sequence: 7 givenname: D. surname: Soy fullname: Soy, D. organization: Pharmacy Department, Hospital Clinic Barcelona – Division of Medicines, Barcelona, Spain – sequence: 8 givenname: A. 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 |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/29572042$$D View this record in MEDLINE/PubMed |
BookMark | eNqNkl2L1DAUhoOsuLOrf0HqnTetJ19teqMso7sKCwrqdUjTVNNNk5q0wvx7MzOryII4EMhFnvMQ3vdcoDMfvEHoBYYKA65fjZUdlV_sZLX6VhHAogJaAYhHaINFQ8qmxfQMbaAlrBS8ac_RRUojAOaU8SfonLS8IcDIBr39FObVqcUGX8zfVZyUDnfWm8XqVISh6NW8hGmnrS_y0dHmB-XcrrDOFXOeM35JT9HjQblknt3fl-jr9bsv2_fl7cebD9ur21LXDJaSdkzpru6IUsD6tjesoR3pYWgMa7HpKOdAatVxPWg1CDGogTDNqWlZpzTG9BK9PHrnGH6sJi1yskkb55Q3YU2SYFwLwYDz_6M5NCBctE1Gn9-jazeZXs7RTiru5O-QMtAeAR1DStEMfxAMcl-IHOVfhRzcEqjMheTZNw9mtV0OcS9RWXeSYXs0mJzsT2uiTDqnrk1vo9GL7IM9yfL6gUU76_dd3pmdSWNYo8_VSSwTkSA_71dnvzlYUIDmkNLVvwUnfuIX5LHbWQ |
CitedBy_id | crossref_primary_10_1093_jac_dkae171 crossref_primary_10_1080_17512433_2023_2295009 crossref_primary_10_1093_cid_ciae178 crossref_primary_10_3390_antibiotics9070393 crossref_primary_10_3389_fphar_2022_838599 crossref_primary_10_3390_pharmaceutics13070959 crossref_primary_10_1093_jac_dky541 crossref_primary_10_1177_1060028021991943 crossref_primary_10_3389_fphar_2024_1378872 crossref_primary_10_1007_s13318_021_00690_4 crossref_primary_10_1093_ofid_ofab568 crossref_primary_10_3390_antibiotics13090801 crossref_primary_10_1111_bcp_15731 crossref_primary_10_1080_17512433_2020_1759413 crossref_primary_10_1186_s12879_020_05005_7 crossref_primary_10_1093_jac_dkaa028 crossref_primary_10_3390_antibiotics8040245 crossref_primary_10_1016_j_clinbiochem_2021_01_012 crossref_primary_10_1177_1060028020971216 crossref_primary_10_1093_jac_dkae324 crossref_primary_10_1016_j_pharmthera_2023_108433 crossref_primary_10_1177_1060028019865873 crossref_primary_10_1080_14787210_2023_2223977 crossref_primary_10_2478_sjecr_2018_0071 crossref_primary_10_1007_s00134_020_06050_1 crossref_primary_10_1016_j_dmpk_2022_100444 crossref_primary_10_1097_FTD_0000000000001211 crossref_primary_10_1007_s40262_020_00968_x crossref_primary_10_1016_j_jiac_2019_11_002 crossref_primary_10_3390_pharmaceutics14102226 crossref_primary_10_1016_j_addr_2022_114171 crossref_primary_10_1128_AAC_00583_19 crossref_primary_10_1016_j_cmi_2019_11_001 crossref_primary_10_3390_antibiotics11070914 |
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 |
ContentType | Journal Article |
Copyright | 2018 Elsevier Ltd Elsevier Ltd Copyright © 2018 Elsevier Ltd. All rights reserved. |
Copyright_xml | – notice: 2018 Elsevier Ltd – notice: Elsevier Ltd – notice: Copyright © 2018 Elsevier Ltd. All rights reserved. |
DBID | AAYXX CITATION CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
DOI | 10.1016/j.ijantimicag.2018.03.008 |
DatabaseName | CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) MEDLINE - Academic AGRICOLA AGRICOLA - Academic |
DatabaseTitleList | AGRICOLA MEDLINE - Academic MEDLINE |
Database_xml | – sequence: 1 dbid: NPM name: PubMed url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 2 dbid: EIF name: MEDLINE url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Biology Pharmacy, Therapeutics, & Pharmacology |
EISSN | 1872-7913 |
EndPage | 165 |
ExternalDocumentID | 29572042 10_1016_j_ijantimicag_2018_03_008 S0924857918300797 1_s2_0_S0924857918300797 |
Genre | Journal Article Observational Study |
GroupedDBID | --- --K --M .1- .FO .GJ .~1 0R~ 1B1 1P~ 1RT 1~. 1~5 29J 4.4 457 4G. 53G 5GY 5VS 7-5 71M 8P~ 9JM AAAJQ AABNK AAEDT AAEDW AAHBH AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARKO AATTM AAXKI AAXUO AAYWO ABBQC ABFNM ABFRF ABJNI ABMAC ABMZM ABWVN ABXDB ACDAQ ACGFO ACGFS ACIEU ACIUM ACRLP ACRPL ACVFH ADBBV ADCNI ADEZE ADMUD ADNMO ADVLN AEBSH AEFWE AEIPS AEKER AENEX AEUPX AEVXI AFJKZ AFPUW AFRHN AFTJW AFXIZ AGCQF AGEKW AGHFR AGQPQ AGUBO AGYEJ AHHHB AIEXJ AIGII AIIUN AIKHN AITUG AJRQY AJUYK AKBMS AKRWK AKYEP ALMA_UNASSIGNED_HOLDINGS AMRAJ ANKPU ANZVX APXCP ASPBG AVWKF AXJTR AZFZN BKOJK BLXMC BNPGV CJTIS CNWQP CS3 DU5 EBS EFJIC EFKBS EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HEJ HMG HMK HMO HVGLF HX~ HZ~ IHE J1W KOM LUGTX M29 M41 MO0 N9A O-L O9- OAUVE OD- OO. OZT P-8 P-9 P2P PC. Q38 R2- ROL RPZ SAE SCC SDF SDG SDP SEL SES SEW SIN SPCBC SSH SSI SSZ T5K UNMZH WUQ XPP Z5R ~G- AACTN AFCTW AFKWA AJOXV AMFUW RIG AAIAV ABLVK ABYKQ AJBFU EFLBG LCYCR AAYXX AGRNS CITATION CGR CUY CVF ECM EIF NPM 7X8 7S9 L.6 |
ID | FETCH-LOGICAL-c640t-3b4acb6b2aa04d9de473b2d0f7e491eb355026ab5cfcaf88faf24c53e94bac113 |
IEDL.DBID | .~1 |
ISSN | 0924-8579 1872-7913 |
IngestDate | Thu Jul 10 22:04:38 EDT 2025 Fri Jul 11 15:34:54 EDT 2025 Thu Apr 03 07:05:53 EDT 2025 Tue Jul 01 00:46:42 EDT 2025 Thu Apr 24 23:00:51 EDT 2025 Fri Feb 23 02:29:24 EST 2024 Sun Feb 23 10:18:54 EST 2025 Tue Aug 26 17:17:20 EDT 2025 |
IsDoiOpenAccess | false |
IsOpenAccess | true |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 2 |
Keywords | Pharmacokinetics Critically ill Continuous renal replacement therapies Daptomycin Pharmacokinetic/pharmacodynamic analysis |
Language | English |
License | Copyright © 2018 Elsevier Ltd. All rights reserved. |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-c640t-3b4acb6b2aa04d9de473b2d0f7e491eb355026ab5cfcaf88faf24c53e94bac113 |
Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 |
ORCID | 0000-0001-7575-2715 0000-0001-9122-6758 |
OpenAccessLink | http://hdl.handle.net/10810/64185 |
PMID | 29572042 |
PQID | 2018025897 |
PQPubID | 23479 |
PageCount | 8 |
ParticipantIDs | proquest_miscellaneous_2116884055 proquest_miscellaneous_2018025897 pubmed_primary_29572042 crossref_primary_10_1016_j_ijantimicag_2018_03_008 crossref_citationtrail_10_1016_j_ijantimicag_2018_03_008 elsevier_sciencedirect_doi_10_1016_j_ijantimicag_2018_03_008 elsevier_clinicalkeyesjournals_1_s2_0_S0924857918300797 elsevier_clinicalkey_doi_10_1016_j_ijantimicag_2018_03_008 |
ProviderPackageCode | CITATION AAYXX |
PublicationCentury | 2000 |
PublicationDate | 2018-08-01 |
PublicationDateYYYYMMDD | 2018-08-01 |
PublicationDate_xml | – month: 08 year: 2018 text: 2018-08-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Netherlands |
PublicationPlace_xml | – name: Netherlands |
PublicationTitle | International journal of antimicrobial agents |
PublicationTitleAlternate | Int J Antimicrob Agents |
PublicationYear | 2018 |
Publisher | Elsevier B.V |
Publisher_xml | – name: Elsevier B.V |
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 |
SSID | ssj0015345 |
Score | 2.4016836 |
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... |
SourceID | proquest pubmed crossref elsevier |
SourceType | Aggregation Database Index Database Enrichment Source Publisher |
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 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpR3LatwwcAgJLb2ENH1tH0GBklPctWT5VXoJacO2pWGhCeQmJFkqTjbeJd4cfOm3d2TL3pZ2YaHgi-0ZS2jeeB4Ab5EJeG4tDZhBDkaLXwS51jqQtCh4kmE41o7z-XaeTC75l6v4agtO-1oYl1bpdX-n01tt7Z-M_WmOF2U5_h7mrh1XmiNToqHLXUU556nj8nc_hzQPFOh2ULEDDhz0Qzhc5XiV17j90tXl_3BZXpnvd7rORq3zQVtbdLYHu96JJCfdPh_Dlqn24UE3VrLZh6Np14-6OSYXq_Kq-pgckemqU3XzBD5Oh_FdZOHf3KDb6aDJ3JJCLpbz20aXFcFL-6kIs4aUsxnxHVnrp3B59unidBL4sQqBTni4DCLFpVaJYlKGvMgLw9NIsSK0qeE5xeAagxaWSBVrq6XNMist4zqOTM6V1JRGz2C7mlfmBRDXfF-qiCYYi3ITU_wgU2msZBRTbWw6gqw_SKF9z3E3-mIm-uSya_EbDYSjgQgjgTQYARtQF13jjU2Q3vfUEn1lKepCgeZhE-T0X8im9lJdCypqJkLxF-eN4MOA-QfzbrrwYc9YAoXb_bGRlZnf1y0QOqWZW2ItDKVJhmF6HI_geceVw4GxPHZDiNjL_9vgK3jk7rq8x9ewvby7N2_QF1uqg1bYDmDn5PPXyfkvvmU2Fw |
linkProvider | Elsevier |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3da9swED-6lH28jK37yj5VGH2qiWVL_hh7Kd1KurYhsBT6JiRZHm5TJ8zpg__7nWzZ2dgCgYGfLJ0l6073gU6_A_iIQsDSPKdeYFCC0eJnXqq19iTNMhYlGI415XwuJtH4kn274lc7cNzdhbFplU73tzq90dbuzcit5mhZFKPvfmrhuOIUhRINXRrfg12LTsUHsHt0ejae9IcJPGxqFdv-niV4APvrNK_iGv-gsFfzf9hEr8RBnm4yU5vc0MYcnTyBx86PJEftVJ_Cjin34H5bWbLeg4NpC0ldH5LZ-oZVdUgOyHQNVl0_gy_TvoIXWbqWG_Q8bW-yyEkml6vFba2LkuCjXWGEeU2K-Zw4UNbqOVyefJ0djz1XWcHTEfNXXqiY1CpSgZQ-y9LMsDhUQebnsWEpxfga45YgkorrXMs8SXKZB0zz0KRMSU1p-AIG5aI0r4BY_H2pQhphOMoMp_jBQMVcyZBTbfJ4CEm3kEI72HFb_WIuuvyya_EbD4TlgfBDgTwYQtCTLlvsjW2IPnXcEt3lUlSHAi3ENsTxv4hN5TZ2JaioAuGLv4RvCJ97yj_kd9uB9zvBEri_7aGNLM3irmo6oV-a2CE29qE0SjBS53wIL1up7BcsSLmtQxS8_r8JfoCH49nFuTg_nZy9gUe2pU2DfAuD1c878w5ds5V677beLzlNOMg |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Population+pharmacokinetics+of+daptomycin+in+critically+ill+patients&rft.jtitle=International+journal+of+antimicrobial+agents&rft.au=Soraluce%2C+A.&rft.au=As%C3%ADn-Prieto%2C+E.&rft.au=Rodr%C3%ADguez-Gasc%C3%B3n%2C+A.&rft.au=Barrasa%2C+H.&rft.date=2018-08-01&rft.pub=Elsevier+B.V&rft.issn=0924-8579&rft.eissn=1872-7913&rft.volume=52&rft.issue=2&rft.spage=158&rft.epage=165&rft_id=info:doi/10.1016%2Fj.ijantimicag.2018.03.008&rft.externalDocID=S0924857918300797 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0924-8579&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0924-8579&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0924-8579&client=summon |