Literature DB >> 34063815

Population Pharmacokinetics and Probability of Target Attainment of Different Dosing Regimens of Ceftazidime in Critically Ill Patients with a Proven or Suspected Pseudomonas aeruginosa Infection.

Annabel Werumeus Buning1, Caspar J Hodiamont2, Natalia M Lechner2, Margriet Schokkin3, Paul W G Elbers4,5, Nicole P Juffermans4, Ron A A Mathôt1, Menno D de Jong2, Reinier M van Hest1.   

Abstract

Altered pharmacokinetics (PK) of hydrophilic antibiotics in critically ill patients is common, with possible consequences for efficacy and resistance. We aimed to describe ceftazidime population PK in critically ill patients with a proven or suspected Pseudomonas aeruginosa infection and to establish optimal dosing. Blood samples were collected for ceftazidime concentration measurement. A population PK model was constructed, and probability of target attainment (PTA) was assessed for targets 100% T > MIC and 100% T > 4 × MIC in the first 24 h. Ninety-six patients yielded 368 ceftazidime concentrations. In a one-compartment model, variability in ceftazidime clearance (CL) showed association with CVVH. For patients not receiving CVVH, variability in ceftazidime CL was 103.4% and showed positive associations with creatinine clearance and with the comorbidities hematologic malignancy, trauma or head injury, explaining 65.2% of variability. For patients treated for at least 24 h and assuming a worst-case MIC of 8 mg/L, PTA was 77% for 100% T > MIC and 14% for 100% T > 4 × MIC. Patients receiving loading doses before continuous infusion demonstrated higher PTA than patients who did not (100% T > MIC: 95% (n = 65) vs. 13% (n = 15); p < 0.001 and 100% T > 4 × MIC: 20% vs. 0%; p = 0.058). The considerable IIV in ceftazidime PK in ICU patients could largely be explained by renal function, CVVH use and several comorbidities. Critically ill patients are at risk for underexposure to ceftazidime when empirically aiming for the breakpoint MIC for P. aeruginosa. A loading dose is recommended.

Entities:  

Keywords:  ceftazidime; critically ill; pharmacodynamics; pharmacokinetics; target attainment

Year:  2021        PMID: 34063815     DOI: 10.3390/antibiotics10060612

Source DB:  PubMed          Journal:  Antibiotics (Basel)        ISSN: 2079-6382


  29 in total

1.  Pseudomonas aeruginosa bacteremia: risk factors for mortality and influence of delayed receipt of effective antimicrobial therapy on clinical outcome.

Authors:  Cheol-In Kang; Sung-Han Kim; Hong-Bin Kim; Sang-Won Park; Young-Ju Choe; Myoung-Don Oh; Eui-Chong Kim; Kang-Won Choe
Journal:  Clin Infect Dis       Date:  2003-08-23       Impact factor: 9.079

2.  A retrospective analysis using Monte Carlo simulation to evaluate recommended ceftazidime dosing regimens in healthy volunteers, patients with cystic fibrosis, and patients in the intensive care unit.

Authors:  Johan W Mouton; Nieko Punt; Alexander A Vinks
Journal:  Clin Ther       Date:  2005-06       Impact factor: 3.393

Review 3.  Augmented renal clearance: implications for antibacterial dosing in the critically ill.

Authors:  Andrew A Udy; Jason A Roberts; Robert J Boots; David L Paterson; Jeffrey Lipman
Journal:  Clin Pharmacokinet       Date:  2010       Impact factor: 6.447

4.  Antibiotic exposure and resistance development in Pseudomonas aeruginosa and Enterobacter species in intensive care units.

Authors:  David S Y Ong; Irene P Jongerden; Anton G Buiting; Maurine A Leverstein-van Hall; Ben Speelberg; Jozef Kesecioglu; Marc J M Bonten
Journal:  Crit Care Med       Date:  2011-11       Impact factor: 7.598

5.  Killing of Pseudomonas aeruginosa during continuous and intermittent infusion of ceftazidime in an in vitro pharmacokinetic model.

Authors:  J W Mouton; J G den Hollander
Journal:  Antimicrob Agents Chemother       Date:  1994-05       Impact factor: 5.191

6.  Emergence of antibiotic-resistant Pseudomonas aeruginosa: comparison of risks associated with different antipseudomonal agents.

Authors:  Y Carmeli; N Troillet; G M Eliopoulos; M H Samore
Journal:  Antimicrob Agents Chemother       Date:  1999-06       Impact factor: 5.191

7.  Predictability of creatinine clearance estimates in critically ill patients.

Authors:  S Robert; B J Zarowitz; E L Peterson; F Dumler
Journal:  Crit Care Med       Date:  1993-10       Impact factor: 7.598

8.  DALI: Defining Antibiotic Levels in Intensive care unit patients: a multi-centre point of prevalence study to determine whether contemporary antibiotic dosing for critically ill patients is therapeutic.

Authors:  Jason A Roberts; Jan J De Waele; George Dimopoulos; Despoina Koulenti; Claude Martin; Philippe Montravers; Jordi Rello; Andrew Rhodes; Therese Starr; Steven C Wallis; Jeffrey Lipman
Journal:  BMC Infect Dis       Date:  2012-07-06       Impact factor: 3.090

Review 9.  Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper.

Authors:  Mohd H Abdul-Aziz; Jan-Willem C Alffenaar; Matteo Bassetti; Hendrik Bracht; George Dimopoulos; Deborah Marriott; Michael N Neely; Jose-Artur Paiva; Federico Pea; Fredrik Sjovall; Jean F Timsit; Andrew A Udy; Sebastian G Wicha; Markus Zeitlinger; Jan J De Waele; Jason A Roberts
Journal:  Intensive Care Med       Date:  2020-05-07       Impact factor: 17.440

10.  DALI: defining antibiotic levels in intensive care unit patients: are current β-lactam antibiotic doses sufficient for critically ill patients?

Authors:  Jason A Roberts; Sanjoy K Paul; Murat Akova; Matteo Bassetti; Jan J De Waele; George Dimopoulos; Kirsi-Maija Kaukonen; Despoina Koulenti; Claude Martin; Philippe Montravers; Jordi Rello; Andrew Rhodes; Therese Starr; Steven C Wallis; Jeffrey Lipman
Journal:  Clin Infect Dis       Date:  2014-01-14       Impact factor: 9.079

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