Comparison between capillary glucose measured with a Contour glucometer and plasma glucose in a population survey
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State: Public
Version: Final published version
License: Not specified
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
State: Public
Version: Final published version
License: Not specified
It was possible to publish this article open access thanks to a Swiss National Licence with the publisher.
Serval ID
serval:BIB_D491BA90C45F
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Comparison between capillary glucose measured with a Contour glucometer and plasma glucose in a population survey
Journal
Journal of Laboratory and Clinical Medicine
ISSN
0022-2143
Publication state
Published
Issued date
2016
Volume
40
Number
2
Pages
133-139
Language
english
Abstract
Background: Capillary glucose (CG) measured with pointof- care glucometers can provide useful approximation of plasma glucose (PG) in selected circumstances but the validity of measurements has been adequately assessed only for a few glucometers.
Methods: We assessed the difference between CG measured with a glucometer (Contour Ascensia, Bayer) and PG measured with a standard laboratory method in participants to a population-based cardiovascular survey in theSeychelles (sample size 1227).
Results: CG correlated well with PG (r = 0.94; p < 0.001). Theoverall difference between PG and CG was -0.55 mmol/L for PG < 4.0 mmol/L (n = 19; 95% CI -0.92; -0.18); 0.14 mmol/L for PG 4.0-4.9 (n = 344; 95% CI 0.08-0.20) and increased according to PG up to 1.64 mmol/L for PG > 9.0 mmol/L (n = 68; 95% CI 1.36; 1.91). The prevalence of diabetes in the study sample was 29% lower with CG than with PG (8.6% vs. 12.1%) but this bias could be corrected by analytical re-calibration.
Methods: We assessed the difference between CG measured with a glucometer (Contour Ascensia, Bayer) and PG measured with a standard laboratory method in participants to a population-based cardiovascular survey in theSeychelles (sample size 1227).
Results: CG correlated well with PG (r = 0.94; p < 0.001). Theoverall difference between PG and CG was -0.55 mmol/L for PG < 4.0 mmol/L (n = 19; 95% CI -0.92; -0.18); 0.14 mmol/L for PG 4.0-4.9 (n = 344; 95% CI 0.08-0.20) and increased according to PG up to 1.64 mmol/L for PG > 9.0 mmol/L (n = 68; 95% CI 1.36; 1.91). The prevalence of diabetes in the study sample was 29% lower with CG than with PG (8.6% vs. 12.1%) but this bias could be corrected by analytical re-calibration.
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Create date
27/05/2016 13:58
Last modification date
14/02/2022 7:57