Evidence map›Paper›PMID 34972687›Full record

ArticleEuropean journal of hospital pharmacy : science and practice2023

Comparison of three automated compounding devices for parenteral nutrition according to four key technical tests.

Julien Leenhardt, Marjorie Durand, Luc Choisnard, Marie-Dominique Desruet, Roseline Mazet, Pierrick Bedouch

Abstract read
In one paragraph

Article in European journal of hospital pharmacy : science and practice, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Julien LeenhardtPharmacy, University Hospital Centre Grenoble Alpes, Grenoble, Auvergne-Rhone-Alpes, France jleenhardt@chu-grenoble.fr.ORCID 0000-0002-2863-5011
Marjorie DurandPharmacy, University Hospital Centre Grenoble Alpes, Grenoble, Auvergne-Rhone-Alpes, France.
Luc ChoisnardUniv. Grenoble Alpes, DPM, UMR CNRS 5063, ICMG FR 2607, Saint-Martin-d'Heres, Rhône-Alpes, France.
Marie-Dominique DesruetPharmacy, University Hospital Centre Grenoble Alpes, Grenoble, Auvergne-Rhone-Alpes, France.
Roseline MazetPharmacy, University Hospital Centre Grenoble Alpes, Grenoble, Auvergne-Rhone-Alpes, France.
Pierrick BedouchPharmacy, University Hospital Centre Grenoble Alpes, Grenoble, Auvergne-Rhone-Alpes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAutomation of parenteral nutrition (PN) preparation is nowadays a recommended practice in order to reduce human errors and thus improve the safety and accuracy of the finished product. Other benefits of automation may include full documentation of preparation and a reduction in personnel requirements or staff injuries. The market of automation compounding presents different automated compounding devices (ACDs). The aim of this study is to compare the technical characteristics of ACDs by carrying out four specific challenges.

methodsThree ACDs: Two piston pumps with ACD 1: MediMix Multi 4120R (Impromediform) and ACD 2: Mibmix Compounder C12 (Hemedis), and one peristaltic pump ACD 3: ExactaMix Compounder EM2400 (Baxter) were assessed in a pharmaceutical manufacturing unit within a controlled atmosphere area, under horizontal laminar flow hood (LFH) according to four tests: volumetric accuracy, flush volume, smoke test, and a production test with three configurations of PN bags. For this test, a PN bag was considered accepted when all quality controls (weight, molar concentration of sodium, potassium and calcium) were fulfilled.

resultsThe maximum relative biases found for the different ACDs were heterogeneous. ACD 1 had the best volumetric accuracy with respect to supplier specifications and for extreme volumes (0.2 mL). Evaluation of the flushing volume allowed the validation of 50 mL volumes for ACD 1 and ACD 3. The smoke test was only conclusive for ACD 1 under a horizontal LFH. The percentage of PN bags accepted were 98.8% for ACD 1, 70% for ACD 2%, and 95.5% for ACD 3.

conclusionThis study compared three ACDs according to four relevant and specific tests. Based on the data acquired, we conclude that ACD 1 is the most accurate, has the lowest flushing volume, is suitable for use in a LFH, and achieves the best results in the production test.

Indexed as

Parenteral NutritionPharmacy Service, HospitalAutomationCalciumHumansQuality ControlCalciumanalytic sample preparation methodsautomationdrug compoundingequipment designhospitallaboratoriesneonatologynutritional sciencesnutritional supportpharmacy servicequality of health careroboticssafety

Identifiers

PMID34972687
PMCPMC10647869

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.