Literature DB >> 25872965

Analytical Performance Requirements for Systems for Self-Monitoring of Blood Glucose With Focus on System Accuracy: Relevant Differences Among ISO 15197:2003, ISO 15197:2013, and Current FDA Recommendations.

Guido Freckmann1, Christina Schmid2, Annette Baumstark2, Malte Rutschmann3, Cornelia Haug2, Lutz Heinemann4.   

Abstract

In the European Union (EU), the ISO (International Organization for Standardization) 15197 standard is applicable for the evaluation of systems for self-monitoring of blood glucose (SMBG) before the market approval. In 2013, a revised version of this standard was published. Relevant revisions in the analytical performance requirements are the inclusion of the evaluation of influence quantities, for example, hematocrit, and some changes in the testing procedures for measurement precision and system accuracy evaluation, for example, number of test strip lots. Regarding system accuracy evaluation, the most important change is the inclusion of more stringent accuracy criteria. In 2014, the Food and Drug Administration (FDA) in the United States published their own guidance document for the premarket evaluation of SMBG systems with even more stringent system accuracy criteria than stipulated by ISO 15197:2013. The establishment of strict accuracy criteria applicable for the premarket evaluation is a possible approach to further improve the measurement quality of SMBG systems. However, the system accuracy testing procedure is quite complex, and some critical aspects, for example, systematic measurement difference between the reference measurement procedure and a higher-order procedure, may potentially limit the apparent accuracy of a given system. Therefore, the implementation of a harmonized reference measurement procedure for which traceability to standards of higher order is verified through an unbroken, documented chain of calibrations is desirable. In addition, the establishment of regular and standardized post-marketing evaluations of distributed test strip lots should be considered as an approach toward an improved measurement quality of available SMBG systems.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  FDA draft guidance document; ISO 15197:2003; ISO 15197:2013; SMBG systems; blood glucose monitoring; system accuracy

Mesh:

Substances:

Year:  2015        PMID: 25872965      PMCID: PMC4525642          DOI: 10.1177/1932296815580160

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  30 in total

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Authors:  A J M Boulton; S Del Prato
Journal:  Diabetologia       Date:  2012-05-16       Impact factor: 10.122

2.  Standards of medical care in diabetes--2014.

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3.  Accuracy evaluation of five blood glucose monitoring systems: the North American comparator trial.

Authors:  Solveig Halldorsdottir; Mary Ellen Warchal-Windham; Jane F Wallace; Scott Pardo; Joan Lee Parkes; David A Simmons
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

4.  System Accuracy Evaluation of Four Systems for Self-Monitoring of Blood Glucose Following ISO 15197 Using a Glucose Oxidase and a Hexokinase-Based Comparison Method.

Authors:  Manuela Link; Christina Schmid; Stefan Pleus; Annette Baumstark; Delia Rittmeyer; Cornelia Haug; Guido Freckmann
Journal:  J Diabetes Sci Technol       Date:  2015-04-14

5.  Consensus statement on self-monitoring of blood glucose.

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Journal:  Diabetes Care       Date:  1987 Jan-Feb       Impact factor: 19.112

6.  Accuracy and precision evaluation of seven self-monitoring blood glucose systems.

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Journal:  Diabetes Technol Ther       Date:  2011-03-15       Impact factor: 6.118

Review 7.  The role of self-monitoring of blood glucose in the care of people with diabetes: report of a global consensus conference.

Authors:  Richard M Bergenstal; James R Gavin
Journal:  Am J Med       Date:  2005-09       Impact factor: 4.965

8.  Glucose measurement: time for a gold standard.

Authors:  Joakim Hagvik
Journal:  J Diabetes Sci Technol       Date:  2007-03

9.  Accuracy of plasma glucose measurements in the hypoglycemic range.

Authors:  P M Genter; E Ipp
Journal:  Diabetes Care       Date:  1994-06       Impact factor: 19.112

10.  Plasma glucose measurement with the Yellow Springs Glucose 2300 STAT and the Olympus AU640.

Authors:  P J Twomey
Journal:  J Clin Pathol       Date:  2004-07       Impact factor: 3.411

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  9 in total

1.  Analysis of "Capillary and Venous Blood Glucose Accuracy in Blood Glucose Meters Versus Reference Standards: The Impact of Study Design on Accuracy Evaluations".

Authors:  Gary H Thorpe
Journal:  J Diabetes Sci Technol       Date:  2018-09-15

2.  A Post-Marketing Surveillance Study to Evaluate Performance of the EXIMO™ Blood Glucose Monitoring System.

Authors:  Sonia R Chandnani; C D Ramakrishna; Bhargav A Dave; Pankaj S Kothavade; Ashok S Thakkar
Journal:  J Clin Diagn Res       Date:  2017-05-01

3.  Evaluation of accuracy dependence of Raman spectroscopic models on the ratio of calibration and validation points for non-invasive glucose sensing.

Authors:  Surya P Singh; Soumavo Mukherjee; Luis H Galindo; Peter T C So; Ramachandra Rao Dasari; Uzma Zubair Khan; Raghuraman Kannan; Anandhi Upendran; Jeon Woong Kang
Journal:  Anal Bioanal Chem       Date:  2018-07-25       Impact factor: 4.142

Review 4.  Interferences and Limitations in Blood Glucose Self-Testing: An Overview of the Current Knowledge.

Authors:  Michael Erbach; Guido Freckmann; Rolf Hinzmann; Bernhard Kulzer; Ralph Ziegler; Lutz Heinemann; Oliver Schnell
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

5.  Accuracy of five plasma calibrated glucometers to screen for and diagnose gestational diabetes mellitus in a low resource clinic setting.

Authors:  Lynnsay M Dickson; Eckhart J Buchmann; Charl Janse van Rensburg; Shane A Norris
Journal:  J Clin Transl Endocrinol       Date:  2018-12-08

6.  Enhancing the Accuracy of Non-Invasive Glucose Sensing in Aqueous Solutions Using Combined Millimeter Wave and Near Infrared Transmission.

Authors:  Helena Cano-Garcia; Rohit Kshirsagar; Roberto Pricci; Ahmed Teyeb; Fergus O'Brien; Shimul Saha; Panagiotis Kosmas; Efthymios Kallos
Journal:  Sensors (Basel)       Date:  2021-05-10       Impact factor: 3.576

7.  Screening for dysglycaemia in dental primary care practice settings: systematic review of the evidence.

Authors:  Ingrid Glurich; Barbara Bartkowiak; Richard L Berg; Amit Acharya
Journal:  Int Dent J       Date:  2018-05-08       Impact factor: 2.607

Review 8.  Radio-Frequency Biosensors for Real-Time and Continuous Glucose Detection.

Authors:  Chorom Jang; Hee-Jo Lee; Jong-Gwan Yook
Journal:  Sensors (Basel)       Date:  2021-03-06       Impact factor: 3.576

9.  Accuracy of Glucose Meter among Adults in a Semi-urban Area in Kathmandu, Nepal.

Authors:  Asmita Pokhrel; Vinutha Silvanus; Buddhi Raj Pokhrel; Binaya Baral; Madhav Khanal; Prajwal Gyawali; Laxman Pokhrel; Deepak Regmi
Journal:  JNMA J Nepal Med Assoc       Date:  2019 Mar-Apr       Impact factor: 0.406

  9 in total

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