Criteria for choosing an intravenous infusion line intended for multidrug infusion in anaesthesia and intensive care units

Maiguy-Foinard, Aurélie; Genay, Stéphanie; Lannoy, Damien; Barthélémy, Christine; Lebuffe, Gilles; Debaene, B.; Odou, Pascal; Décaudin, Bertrand

doi:10.1016/j.accpm.2016.02.007

Cited by 15 publications

(9 citation statements)

References 89 publications

(95 reference statements)

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“…The discrepancies in results between clinical trials in a paediatric ICU and an adult ICU suggest that particulate contamination is more important in critically ill paediatric patients than in critically ill adult patients and could confirm the advantage of in-line filtration in the latter. However, clinicians must take into account that all drugs cannot be filtered and that the use of filters may sometimes lead to drug retention [ 19 ].…”

Section: Discussionmentioning

confidence: 99%

Analysis of particulate exposure during continuous drug infusion in critically ill adult patients: a preliminary proof-of-concept in vitro study

Benlabed¹,

Mena²,

Gaudy³

et al. 2018

ICMx

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BackgroundIn critically ill patients, drug incompatibilities frequently occur because of the number of drugs to be administered through a limited number of infusion lines. These are among the main causes of particulate contamination. However, little data is available to quantify particle exposure during simultaneous IV-drug infusion. The objective of this study was to evaluate the particulate matter potentially administered to critically ill patients.MethodsThe particulate matter (between 1 μm and 30 mm) of infused therapies used in ICUs for patients suffering from either septic shock or acute respiratory distress syndrome was measured in vitro over 6 h using a dynamic image analysis device, so that both overall particulate contamination and particle sizes could be determined. Data is presented according to the recommendations of the European Pharmacopoeia (≥ 10 and 25 μm).ResultsFor the six experimental procedures (continuous infusion of norepinephrine, midazolam, sufentanil, heparin, 5% glucose, binary parenteral nutrition and discontinuous administrations of omeprazole, piperacillin/tazobactam and fluconazole), the overall number of particles over the 6-h infusion period was 8256 [5013; 15,044]. The collected values for the number of particles ≥ 10 and 25 μm were 281 [118; 526] and 19 [7; 96] respectively. Our results showed that discontinuous administrations of drugs led to disturbances in particulate contamination.ConclusionsThis work indicates the amount of particulate matter potentially administered to critically ill adult patients. Particulate contamination appears lower than previous measurements performed during multidrug IV therapies in children.

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Section: Discussionmentioning

confidence: 99%

Analysis of particulate exposure during continuous drug infusion in critically ill adult patients: a preliminary proof-of-concept in vitro study

Benlabed¹,

Mena²,

Gaudy³

et al. 2018

ICMx

Self Cite

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“…Multiinfusion is associated with significant flow rate variability, infusion line dead spaces and related dosing errors. The magnitude of the dosing error depends on the connection and disconnection of syringe pump assemblies and their set flow rates, dimensional dead spaces (manifold design, port selection, extension lines and central venous catheters) and the physical properties of the infusion components used 15–17 …”

Section: Clinical Tip 6: Minimise the Number Of Infusion Pumps Connec...mentioning

confidence: 99%

10 clinical tips for advancing patient safety when using syringe pump systems for microinfusion intravenous drug therapy

Weiß

Eijk

Lönnqvist

et al. 2023

European Journal of Anaesthesiology

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“…Smart infusion pump usage relies on the different categories available. The syringe infusion pump, portable infusion pump, an ambulatory infusion pump are based on the mechanism adopted for each device [1]. The flow rate of these medical devices is based on pressure variation, motor movements, a revolution of the peristaltic pump and rotary pumps.…”

Section: Introductionmentioning

confidence: 99%

The 100 most cited articles on wearable technology in the area of Medical Informatics: A bibliometric analysis using Web of Science

Alamelu

Mythili

2022

EAI Endorsed Trans Perv Health Tech

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Prediction techniques are extensively used in medical applications and health devices. The prediction of the infusion flow rate and its speed in a smart wireless infusion pump is necessary to provide precise drug flow. This paper has developed the prediction model to predict the lag time and infusion pump speed using the Gaussian process regression (GPR) technique with a squared exponential kernel. The present smart wireless infusion pump is usually incorporated with its smart drug library. The required parameters such as drug dosage, drug flow rate are utilized as inputs to predict the pump speed, minimize start-up delays using proposed regression techniques. The evaluation of prediction models is done by the coefficient of determination (R2), mean absolute error (MAE), and root-mean-squared error (RMSE). These prediction results are verified for predicting lag time and infusion pump speed for two different carrier flowrates, 10 ml/hr, 50 ml/hr. The study's outcome indicates that the regression model GPR has better prediction accuracy with a mean coefficient of determination of 0.99. Hence, the GPR technique can achieve quick infusion speed with minimized lag time,the optimal flow rate for smart infusion pumps.

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Criteria for choosing an intravenous infusion line intended for multidrug infusion in anaesthesia and intensive care units

Cited by 15 publications

References 89 publications

Analysis of particulate exposure during continuous drug infusion in critically ill adult patients: a preliminary proof-of-concept in vitro study

Analysis of particulate exposure during continuous drug infusion in critically ill adult patients: a preliminary proof-of-concept in vitro study

10 clinical tips for advancing patient safety when using syringe pump systems for microinfusion intravenous drug therapy

The 100 most cited articles on wearable technology in the area of Medical Informatics: A bibliometric analysis using Web of Science

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