Evidence map›Paper›PMID 27436191›Full record

ArticleAnnals of intensive care2016

Point and trend accuracy of a continuous intravenous microdialysis-based glucose-monitoring device in critically ill patients: a prospective study.

J H Leopold, R T M van Hooijdonk, M Boshuizen, T Winters, L D Bos, A Abu-Hanna, A M T Hoek, J C Fischer, E C van Dongen-Lases, M J Schultz

Open access · goldAbstract read
In one paragraph

Article in Annals of intensive care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.2field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 26 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 1 institution in 1 country.

J H LeopoldDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands. j.h.leopold@amc.uva.nl.ORCID http://orcid.org/0000-0002-1495-1216
R T M van HooijdonkDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
M BoshuizenDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
T WintersDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
L D BosDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
A Abu-HannaDepartment of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
A M T HoekDepartment of Clinical Chemistry, Academic Medical Center, Amsterdam, The Netherlands.
J C FischerDepartment of Clinical Chemistry, Academic Medical Center, Amsterdam, The Netherlands.
E C van Dongen-LasesDepartment of Clinical Chemistry, Academic Medical Center, Amsterdam, The Netherlands.
M J SchultzDepartment of Intensive Care, Academic Medical Center, Room C3-311, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
Amsterdam UMC Location University of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicrodialysis is a well-established technology that can be used for continuous blood glucose monitoring. We determined point and trend accuracy, and reliability of a microdialysis-based continuous blood glucose-monitoring device (EIRUS(®)) in critically ill patients.

methodsProspective study involving patients with an expected intensive care unit stay of ≥48 h. Every 15 min, device readings were compared with blood glucose values measured in arterial blood during blocks of 8 h per day for a maximum of 3 days. The Clarke error grid, Bland-Altman plot, mean absolute relative difference and glucose prediction error analysis were used to express point accuracy and the rate error grid to express trend accuracy. Reliability testing included aspects of the device and the external sensor, and the special central venous catheter (CVC) with a semipermeable membrane for use with this device.

resultsWe collected 594 paired values in 12 patients (65 [26-80; 8-97] (median [IQR; total range]) paired values per patient). Point accuracy: 93.6 % of paired values were in zone A of the Clarke error grid, 6.4 % were in zone B; bias was 4.1 mg/dL with an upper limit of agreement of 28.6 mg/dL and a lower level of agreement of -20.5 mg/dL in the Bland-Altman analysis; 93.6 % of the values ≥75 mg/dL were within 20 % of the reference values in the glucose prediction error analysis; the mean absolute relative difference was 7.5 %. Trend accuracy: 96.4 % of the paired values were in zone A, and 3.3 and 0.3 % were in zone B and zone C of the rate error grid. Reliability: out of 16 sensors, 4 had to be replaced prematurely; out of 12 CVCs, two malfunctioned (one after unintentional flushing by unsupervised nurses of the ports connected to the internal microdialysis chamber, causing rupture of the semipermeable membrane; one for an unknown reason). Device start-up time was 58 [56-67] min; availability of real-time data was 100 % of the connection time.

conclusionsIn this study in critically ill patients who had no hypoglycemic episodes and a limited number of hyperglycemic excursions, point accuracy of the device was moderate to good. Trend accuracy was very good. The device had no downtimes, but 4 out of 16 external sensors and 2 out of 12 CVCs had practical problems.

Identifiers

PMID27436191
PMCPMC4951389
OpenAlexW2504507525

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.