Therapeutic drug monitoring of vancomycin and meropenem: Illustration of the impact of inaccurate information in dose administration time

被引:3
作者
Swartling, Maria [1 ]
Tangden, Thomas [2 ]
Lipcsey, Miklos [3 ,4 ]
Jonsson, Siv [1 ]
Nielsen, Elisabet I. [1 ,5 ]
机构
[1] Uppsala Univ, Dept Pharm, Uppsala, Sweden
[2] Uppsala Univ, Dept Med Sci, Infect Med, Uppsala, Sweden
[3] Uppsala Univ, Dept Surg Sci, Anaesthesiol & Intens Care, Uppsala, Sweden
[4] Uppsala Univ, Dept Surg Sci, Hedenstierna Lab, Uppsala, Sweden
[5] Box 580, SE-75123 Uppsala, Sweden
基金
瑞典研究理事会;
关键词
Therapeutic drug monitoring; Model-informed precision dosing; Documentation; Vancomycin; Meropenem; CRITICALLY-ILL PATIENTS; GUIDELINES;
D O I
10.1016/j.ijantimicag.2023.107032
中图分类号
R51 [传染病];
学科分类号
100401 ;
摘要
Objectives: To illustrate the impact of errors in documented dose administration time on therapeutic drug monitoring (TDM)-based target attainment evaluation for vancomycin and meropenem, and to explore the influence of drug and patient characteristics, and TDM sampling strategies. Methods: Bedside observations of errors in documented dose administration times were collected. Population pharmacokinetic simulations were performed for vancomycin and meropenem, evaluating different one- and two -sampling strategies for populations with estimated creatinine clearance (CLcr) of 30, 80 or 130 mL/min. The impact of errors was evaluated as the proportion of individuals incorrectly considered to have reached the target. Results: Of 143 observed dose administrations, 97% of doses were given within +/- 30 min of the documented time. For vancomycin, a + 30 min error was predicted to result in a 0.1-3.9 percentage point increase of cases incorrectly evaluated as reaching area under the concentration -time curve during a 24hour period (AUC24)/minimum inhibitory concentration (MIC) > 400, with the largest increase for patients with augmented renal clearance and peak and trough sampling. For meropenem, a + 30 min error resulted in a 1.3-6.4 and 0-20 percentage point increase of cases incorrectly evaluated as reaching 100% T>MIC, and 50% T>MIC, respectively. Overall, mid -dose and trough sampling was most favourable for both antibiotics. Conclusions: For vancomycin, simulations indicate that TDM-based target attainment evaluation is robust with respect to the observed errors in dose administration time of +/- 30 min; however, the errors had a potentially clinically important impact in patients with augmented renal clearance. For meropenem, extra measures to promote correct documentation are warranted when using TDM, as the impact of errors was evident even in patients with normal renal function. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )
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页数:8
相关论文
共 26 条
  • [1] Antimicrobial therapeutic drug monitoring in critically ill adult patients: a Position Paper#
    Abdul-Aziz, Mohd H.
    Alffenaar, Jan-Willem C.
    Bassetti, Matteo
    Bracht, Hendrik
    Dimopoulos, George
    Marriott, Deborah
    Neely, Michael N.
    Paiva, Jose-Artur
    Pea, Federico
    Sjovall, Fredrik
    Timsit, Jean F.
    Udy, Andrew A.
    Wicha, Sebastian G.
    Zeitlinger, Markus
    De Waele, Jan J.
    Roberts, Jason A.
    [J]. INTENSIVE CARE MEDICINE, 2020, 46 (06) : 1127 - 1153
  • [2] The effect of therapeutic drug monitoring of beta-lactam and fluoroquinolones on clinical outcome in critically ill patients: the DOLPHIN trial protocol of a multi-centre randomised controlled trial
    Abdulla, A.
    Ewoldt, T. M. J.
    Hunfeld, N. G. M.
    Muller, A. E.
    Rietdijk, W. J. R.
    Polinder, S.
    van Gelder, T.
    Endeman, H.
    Koch, B. C. P.
    [J]. BMC INFECTIOUS DISEASES, 2020, 20 (01)
  • [3] Impact of Inaccurate Documentation of Sampling and Infusion Time in Model-Informed Precision Dosing
    Alihodzic, Dzenefa
    Broeker, Astrid
    Baehr, Michael
    Kluge, Stefan
    Langebrake, Claudia
    Wicha, Sebastian Georg
    [J]. FRONTIERS IN PHARMACOLOGY, 2020, 11
  • [4] 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
  • [5] Beal SL, 2018, NONMEM 7.4 Users Guides
  • [6] Evaluation of the Robustness of Therapeutic Drug Monitoring Coupled with Bayesian Forecasting of Busulfan with Regard to Inaccurate Documentation
    Dadkhah, Adrin
    Alihodzic, Dzenefa
    Broeker, Astrid
    Kroger, Nicolaus
    Langebrake, Claudia
    Wicha, Sebastian G.
    [J]. PHARMACEUTICAL RESEARCH, 2021, 38 (10) : 1721 - 1729
  • [7] European Medicines Agency (EMA), 2012, Scientific guideline
  • [8] Why we should sample sparsely and aim for a higher target: Lessons from model-based therapeutic drug monitoring of vancomycin in intensive care patients
    Guo, Tingjie
    van Hest, Reinier M.
    Fleuren, Lucas M.
    Roggeveen, Luca F.
    Bosman, Rob J.
    van der Voort, Peter H. J.
    Girbes, Armand R. J.
    Mathot, Ron A. A.
    van Hasselt, Johan G. C.
    Elbers, Paul W. G.
    [J]. BRITISH JOURNAL OF CLINICAL PHARMACOLOGY, 2021, 87 (03) : 1234 - 1242
  • [9] Modeling and Simulation Workbench for NONMEM: Tutorial on Pirana, PsN, and Xpose
    Keizer, R. J.
    Karlsson, M. O.
    Hooker, A.
    [J]. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2013, 2 (06):
  • [10] Easy and reliable maximum a posteriori Bayesian estimation of pharmacokinetic parameters with the open-source R package mapbayr
    Le Louedec, Felicien
    Puisset, Florent
    Thomas, Fabienne
    Chatelut, Etienne
    White-Koning, Melanie
    [J]. CPT-PHARMACOMETRICS & SYSTEMS PHARMACOLOGY, 2021, 10 (10): : 1208 - 1220