Literature DB >> 24681433

System accuracy evaluation of systems for point-of-care testing of blood glucose: a comparison of a patient-use system with six professional-use systems.

Guido Freckmann, Christina Schmid, Stefan Pleus, Annette Baumstark, Manuela Link, Erhard Stolberg, Cornelia Haug, Jochen Sieber.   

Abstract

BACKGROUND: Point-of-care testing (POCT) of blood glucose (BG) is performed by medical personnel in clinical settings as well as by patients themselves for self-monitoring of blood glucose (SMBG) at home. We investigated if a system mainly intended for SMBG by people with diabetes, but also suitable for BG measurements by medical personnel, can achieve measurement accuracy on capillary blood samples comparable with professional-use POCT systems.
METHODS: System accuracy was evaluated under standardised conditions, following the ISO standard 15197:2003. For each system (one SMBG system with three test strip lots and six professional-use systems), measurement results from capillary blood samples of 100 subjects were compared with a standardised laboratory glucose oxidase method (YSI 2300 glucose analyser).
RESULTS: The seven evaluated systems showed 99.5% or 100% of the measurement results within the required system accuracy limits of ISO 15197:2003 (±0.83 mmol/L at BG concentrations <4.2 mmol/L and ±20% at BG concentrations ≥4.2 mmol/L). Applying the more stringent requirements of the revision ISO 15197:2013, the systems showed between 99% and 100% of the measurement results within the accuracy limits (±0.83 mmol/L at BG concentrations <5.55 mmol/L and ±15% at BG concentrations ≥5.55 mmol/L) and between 82% and 98% when even more restrictive limits were applied (±0.56 mmol/L and ±10%, respectively).
CONCLUSIONS: Data from this study, which focused on system accuracy, suggest that SMBG systems can achieve system accuracy that is comparable with professional-use systems when measurements are performed on capillary blood samples by trained personnel in a standardised and controlled setting.

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Year:  2014        PMID: 24681433     DOI: 10.1515/cclm-2013-0976

Source DB:  PubMed          Journal:  Clin Chem Lab Med        ISSN: 1434-6621            Impact factor:   3.694


  11 in total

1.  Performance Comparison of CGM Systems: MARD Values Are Not Always a Reliable Indicator of CGM System Accuracy.

Authors:  Harald Kirchsteiger; Lutz Heinemann; Guido Freckmann; Volker Lodwig; Günther Schmelzeisen-Redeker; Michael Schoemaker; Luigi Del Re
Journal:  J Diabetes Sci Technol       Date:  2015-09-01

2.  Utility of point-of-care vs reference laboratory testing for the evaluation of glucose levels.

Authors:  O M Andriankaja; F J Muñoz-Torres; J L Vergara; C M Pérez; K Joshipura
Journal:  Diabet Med       Date:  2019-03-01       Impact factor: 4.359

3.  A Comparison Study Between Point-of-Care Testing Systems and Central Laboratory for Determining Blood Glucose in Venous Blood.

Authors:  Huiping Wei; Fang Lan; Qitian He; Haiwei Li; Fuyong Zhang; Xue Qin; Shan Li
Journal:  J Clin Lab Anal       Date:  2016-08-25       Impact factor: 2.352

4.  Clarke Error Grid Analysis for Performance Evaluation of Glucometers in a Tertiary Care Referral Hospital.

Authors:  Sohini Sengupta; Anil Handoo; Inaamul Haq; Karamvir Dahiya; Sanjay Mehta; Mradul Kaushik
Journal:  Indian J Clin Biochem       Date:  2021-03-25

5.  Stability of Glucose Concentrations in Frozen Plasma.

Authors:  Stefan Pleus; Guido Freckmann; Annette Baumstark; Cornelia Haug
Journal:  J Diabetes Sci Technol       Date:  2020-10-09

6.  Accuracy of a Factory-Calibrated, Real-Time Continuous Glucose Monitoring System During 10 Days of Use in Youth and Adults with Diabetes.

Authors:  R Paul Wadwa; Lori M Laffel; Viral N Shah; Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2018-06-14       Impact factor: 6.118

7.  Do We Need the Replacement of YSI 2300? A View from the Clinical Laboratory.

Authors:  Loukia Spanou; Konstantinos Makris
Journal:  J Diabetes Sci Technol       Date:  2021-05-17

8.  Evaluation of Trueness and Precision of a Bench-Top Laboratory Glucose Analyzer Using Reference Materials.

Authors:  Annette Baumstark; Stefan Pleus; Matthias Hartwig; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2021-02-08

9.  Prevalence, Awareness, Treatment, and Control of Hypertension among Chinese First-Generation Migrants and Italians in Prato, Italy: The CHIP Study.

Authors:  Pietro A Modesti; Maria Calabrese; Ilaria Marzotti; Hushao Bing; Danilo Malandrino; Maria Boddi; Sergio Castellani; Dong Zhao
Journal:  Int J Hypertens       Date:  2017-04-13       Impact factor: 2.420

10.  A model for managing and monitoring the quality of glucometers used in a high-volume clinical setting.

Authors:  Güzin Aykal; Ayşenur Yegin; Özgür Tekeli; Necat Yilmaz
Journal:  Biochem Med (Zagreb)       Date:  2016       Impact factor: 2.313

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