Literature DB >> 19762742

Impact of multiaccess infusion devices on in vitro drug delivery during multi-infusion therapy.

Bertrand Décaudin1, Sophie Dewulf, Damien Lannoy, Nicolas Simon, Alexandre Secq, Christine Barthélémy, Bertrand Debaene, Pascal Odou.   

Abstract

BACKGROUND: Multiaccess infusion sets allow multiple simultaneous infusions but may induce interference in drug delivery resulting from large variations in the delivery rate of potent drugs. In this study, we sought to understand the influence of multiaccess infusion device properties (dead space volume and antireflux valve [ARV]) on drug delivery during multi-infusion therapy.
METHODS: Infusion sets differing in length, dead space volume, and presence of an ARV were assessed. Three drugs were infused simultaneously through different access points, and their concentrations were obtained using UV spectrophotometric analysis of the effluent. Different infusion configurations were compared by assessing (1) the amount of drug delivered to the patient per unit of time, (2) the mean amount of drug delivered to the patient per unit of time during the steady-state infusion (mass flow rate plateau), and (3) flow change efficiency calculated from the ratio of the area under the experimental instant mass flow rate curve to the area corresponding to theoretical instant mass flow rate curve.
RESULTS: Infusion sets with lower dead space volumes offered significantly higher flow change efficiency (53.0% +/- 15.4% with a dead space volume equal to 0.046 mL 5 min after the start of infusion) than infusion sets with higher dead space volume (5.6% +/- 8.2% with a dead space volume equal to 6.16 mL), whatever the flow rate changes. Even in case of large dead space volumes, the presence of an ARV significantly increased the mass flow rate plateau (from 92.4% to 99.3% of the theoretical plateau without and with the presence of an ARV, respectively).
CONCLUSIONS: Multi-infusion therapy induces perturbation in drug delivery. These perturbations (lag time, backflow, and bolus) could be reduced by using infusion sets including very low dead space volume and an ARV.

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Year:  2009        PMID: 19762742     DOI: 10.1213/ane.0b013e3181ae06e3

Source DB:  PubMed          Journal:  Anesth Analg        ISSN: 0003-2999            Impact factor:   5.108


  12 in total

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2.  Multiple intravenous infusions phase 1b: practice and training scan.

Authors:  A Cassano-Piché; M Fan; S Sabovitch; C Masino; A C Easty
Journal:  Ont Health Technol Assess Ser       Date:  2012-05-01

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Journal:  Antimicrob Agents Chemother       Date:  2014-11-24       Impact factor: 5.191

4.  Delay and stability of central venous administration of norepinephrine in children: a bench study.

Authors:  Mehdi Oualha; Mikaël Capelo; Odile Spreux-Varoquaux; Isabelle Drouet-Chaillou; Jean-Marc Tréluyer; Philippe Hubert; Fabrice Lesage
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Review 6.  Strategies to prevent drug incompatibility during simultaneous multi-drug infusion in intensive care units: a literature review.

Authors:  Laura Négrier; Anthony Martin Mena; Gilles Lebuffe; Pascal Odou; Stéphanie Genay; Bertrand Décaudin
Journal:  Eur J Clin Pharmacol       Date:  2021-03-25       Impact factor: 2.953

7.  Influence of a Double-Lumen Extension Tube on Drug Delivery: Examples of Isosorbide Dinitrate and Diazepam.

Authors:  Aurélie Maiguy-Foinard; Nicolas Blanchemain; Christine Barthélémy; Bertrand Décaudin; Pascal Odou
Journal:  PLoS One       Date:  2016-05-06       Impact factor: 3.240

8.  Effect of insulin infusion line on glycaemic variability in a perioperative high dependency unit (HDU): a prospective randomised controlled trial.

Authors:  Stéphanie Genay; Bertrand Décaudin; Sabine Ethgen; Arnaud Alluin; Elodie Babol; Julien Labreuche; Hélène Behal; Marie-Christine Vantyghem; Pascal Odou; Gilles Lebuffe
Journal:  Ann Intensive Care       Date:  2017-07-11       Impact factor: 6.925

9.  Analytical method for calculation of deviations from intended dosages during multi-infusion.

Authors:  Maurits K Konings; Roland A Snijder; Joris H Radermacher; Annemoon M Timmerman
Journal:  Biomed Eng Online       Date:  2017-01-17       Impact factor: 2.819

10.  Impact of physical incompatibility on drug mass flow rates: example of furosemide-midazolam incompatibility.

Authors:  Aurélie Foinard; Bertrand Décaudin; Christine Barthélémy; Bertrand Debaene; Pascal Odou
Journal:  Ann Intensive Care       Date:  2012-07-13       Impact factor: 6.925

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