Augmented renal clearance of aminoglycosides using population-based pharmacokinetic modelling with Bayesian estimation in the paediatric ICU

被引:14
作者
Avedissian, Sean N. [1 ,2 ,3 ,4 ]
Rhodes, Nathaniel J. [1 ,2 ]
Kim, Yuna [5 ]
Bradley, John [6 ,7 ]
Valdez, Joshua L. [8 ]
Le, Jennifer [5 ,9 ]
机构
[1] Midwestern Univ, Chicago Coll Pharm, Downers Grove, IL 60515 USA
[2] Midwestern Univ, Chicago Coll Pharm, Ctr Pharmacometr Excellence, Downers Grove, IL 60515 USA
[3] UNMC, Ctr Drug Discovery, Antiviral Pharmacol Lab, Omaha, NE USA
[4] Univ Nebraska Med Ctr, Coll Pharm, Omaha, NE USA
[5] Univ Calif San Diego, Skaggs Sch Pharm & Pharmaceut Sci, San Diego, CA 92103 USA
[6] Univ Calif San Diego, Sch Med, Div Infect Dis, San Diego, CA 92103 USA
[7] Rady Childrens Hosp, San Diego, CA USA
[8] Kaiser Permanente, San Diego Med Ctr, San Diego, CA USA
[9] Miller Childrens & Womens Hosp, Long Beach, CA 90806 USA
关键词
CRITICALLY-ILL PATIENTS; ANTIMICROBIAL THERAPY; ANTIBACTERIAL; PREDICTION; DURATION; OUTCOMES; PACKAGE;
D O I
10.1093/jac/dkz408
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objective: To evaluate augmented renaL cLearance (ARC) using aminoglycoside clearance (CLAMINO24h) derived from pharmacokinetic (PK) modelling. Methods: A retrospective study at two paediatric hospitals of patients who received tobramycin or gentamicin from 1999 to 2016 was conducted. Compartmental PK models were constructed using the Pmetrics package, and Bayesian posteriors were used to estimate CLAMINO24h .ARC was defined as a CLAMINO24h of >= 130 mL/min/ 1.73 m(2). Risk factors for ARC were identified using multivariate Logistic regression. Results: The final popuLation model was fitted to 275 aminoglycoside serum concentrations. Overall cLearance (L/h) was=CL(0)x (TBW/70)(0.75)xAGE(H)/(TMH+ AGE(H)) + CL1 (0.5/SCr), where TBW is total body weight, H is the Hill coefficient, TM is a maturation term and SCr is serum creatinine. Median CLAMINO24h in those with versus without ARC was 157.36 and 93.42 mL/min/1.73 m(2), respectively (P<0.001). ARC was identified in 19.5% of 118 patients. For patients with ARC, median baseline SCr was Lower than for those without ARC (0.38 versus 0.41 mg/dL, P=0.073). Risk factors for ARC included sepsis [adjusted OR (a0R) 3.77, 95% CI 1.01-14.07, P=0.048], increasing age (aOR 1.11, 95% CI 1-1.23, P=0.04) and Low Log-transformed SCr (aOR 0.16, 95% CI 0.05-0.52, P=0.002). Median 24 h AUC (AUC(24h)) was significantly Lower in patients with ARC at 45.27 versus 56.95 mg center dot h/L, P <0.01. Conclusions: ARC was observed in one of every five patients. Sepsis, increasing age and Low SCr were associated with ARC. Increased cLearance was associated with an attenuation of AUC 24h in this popuLation. Future studies are needed to define optimal dosing in paediatric patients with ARC.
引用
收藏
页码:162 / 169
页数:8
相关论文
共 43 条
  • [1] Select critically ill patients at risk of augmented renal clearance: experience in a Malaysian intensive care unit
    Adnan, S.
    Ratnam, S.
    Kumar, S.
    Paterson, D.
    Lipman, J.
    Roberts, J.
    Udy, A. A.
    [J]. ANAESTHESIA AND INTENSIVE CARE, 2014, 42 (06) : 715 - 722
  • [2] Augmented Renal Clearance Using Population-Based Pharmacokinetic Modeling in Critically III Pediatric Patients
    Avedissian, Sean N.
    Bradley, Erin
    Zhang, Diana
    Bradley, John S.
    Nazer, Lama H.
    Tran, Tri M.
    Nguyen, Austin
    Le, Jennifer
    [J]. PEDIATRIC CRITICAL CARE MEDICINE, 2017, 18 (09) : E388 - E394
  • [3] Decreasing the time to achieve therapeutic vancomycin concentrations in critically ill patients: developing and testing of a dosing nomogram
    Baptista, Joao Pedro
    Roberts, Jason A.
    Sousa, Eduardo
    Freitas, Ricardo
    Deveza, Nuno
    Pimentel, Jorge
    [J]. CRITICAL CARE, 2014, 18 (06):
  • [4] Augmented renal clearance in septic patients and implications for vancomycin optimisation
    Baptista, Joao Pedro
    Sousa, Eduardo
    Martins, Paulo J.
    Pimentel, Jorge M.
    [J]. INTERNATIONAL JOURNAL OF ANTIMICROBIAL AGENTS, 2012, 39 (05) : 420 - 423
  • [5] Practical Considerations for Dose Selection in Pediatric Patients to Ensure Target Exposure Requirements
    Barbour, April M.
    Fossler, Michael J.
    Barrett, Jeffrey
    [J]. AAPS JOURNAL, 2014, 16 (04): : 749 - 755
  • [6] Ways to fit a PK model with some data below the quantification limit
    Beal, SL
    [J]. JOURNAL OF PHARMACOKINETICS AND PHARMACODYNAMICS, 2001, 28 (05) : 481 - 504
  • [7] Population Pharmacokinetic Model to Optimize Cefotaxime Dosing Regimen in Critically Ill Children
    Beranger, Agathe
    Oualha, Mehdi
    Urien, Saik
    Genuini, Mathieu
    Renolleau, Sylvain
    Aboura, Radia
    Hirt, Deborah
    Heilbronner, Claire
    Toubiana, Julie
    Treluyer, Jean-Marc
    Benaboud, Sihem
    [J]. CLINICAL PHARMACOKINETICS, 2018, 57 (07) : 867 - 875
  • [8] Augmented Renal Clearance in Critically Ill Patients: A Systematic Review
    Bilbao-Meseguer, Idoia
    Rodriguez-Gascon, Alicia
    Barrasa, Helena
    Isla, Arantxazu
    Angeles Solinis, Maria
    [J]. CLINICAL PHARMACOKINETICS, 2018, 57 (09) : 1107 - 1121
  • [9] TOBRAMYCIN - REVIEW OF ITS ANTIBACTERIAL AND PHARMACOKINETIC PROPERTIES AND THERAPEUTIC USE
    BROGDEN, RN
    PINDER, RM
    SAWYER, PR
    SPEIGHT, TM
    AVERY, GS
    [J]. DRUGS, 1976, 12 (03) : 166 - 200
  • [10] Cies JJ, 2018, CRIT CARE MED, V46, P272, DOI [10.1097/CCM.0000000000002817, 10.1097/ccm.0000000000002817]