Literature DB >> 28658800

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

Sonia R Chandnani1, C D Ramakrishna2, Bhargav A Dave3, Pankaj S Kothavade4, Ashok S Thakkar5.   

Abstract

INTRODUCTION: The performance of Blood Glucose Monitoring System (BGMS) is critical as the information provided by the system guide the patient or health care professional in making treatment decisions. However, besides evaluating accuracy of the BGMS in laboratory setting, it is equally important that the intended users (healthcare professionals and patients) should be able to achieve blood glucose measurements with similar level of high accuracy. AIM: To assess the performance of EXIMO™ (Meril Diagnostics Pvt. Ltd., Vapi, Gujarat, India) BGMS as per International Organization for Standardization (ISO) 15197:2013 section 8 user performance criteria.
MATERIALS AND METHODS: This was a non-randomized and post-marketing study conducted at a tertiary care centre of India. A total of 1005 patients with diabetes themselves performed fingertip blood glucose measurement using EXIMO™ BGMS. Immediately after capillary blood glucose measurement using the blood glucose monitoring system, venous blood sample from each patient was obtained by a trained technician which was assessed by reference laboratory method- Cobas Integra 400 plus (Roche Instrument Centre, Rotkreuz, Switzerland). All the blood glucose measurements assessed by EXIMO™ were compared with laboratory results. Performance of the system was assessed as per ISO 15197:2013 criteria using Bland-Altman plot, Parkes-Consensus Error Grid (CEG) and Surveillance Error Grid analyses (SEG).
RESULTS: A total of 1005 patients participated in the study. Average age of the patients was 44.93±14.65 years. Evaluation of capillary fingertip blood glucose measurements demonstrated that 95.82% measurements fulfilled ISO 15197:2013 section 8 user performance criteria. All the results lie within clinically non-critical zones; Zone A (99.47%; n=1000) and Zone B (0.53%; n=05) of the CEG analysis. As per SEG analysis, majority of the results fell within "no-risk" zone (risk score 0 to 0.5; 90.42%).
CONCLUSION: The result of the study confirmed that intended users are able to obtain accurate glucose measurements when operating EXIMO™ BGMS, given only the instructions and training materials routinely provided with the system, in clinical practice.

Entities:  

Keywords:  Consensus error grid; Diabetes mellitus; Glucose meter; Surveillance error grid

Year:  2017        PMID: 28658800      PMCID: PMC5483702          DOI: 10.7860/JCDR/2017/26596.9892

Source DB:  PubMed          Journal:  J Clin Diagn Res        ISSN: 0973-709X


  20 in total

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Authors:  Oliver Schnell; Rolf Hinzmann; Bernd Kulzer; Guido Freckmann; Michael Erbach; Volker Lodwig; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

2.  Self-monitoring of blood glucose in type 2 diabetes and long-term outcome: an epidemiological cohort study.

Authors:  S Martin; B Schneider; L Heinemann; V Lodwig; H-J Kurth; H Kolb; W A Scherbaum
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Review 3.  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.

Authors:  Guido Freckmann; Christina Schmid; Annette Baumstark; Malte Rutschmann; Cornelia Haug; Lutz Heinemann
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4.  The surveillance error grid.

Authors:  David C Klonoff; Courtney Lias; Robert Vigersky; William Clarke; Joan Lee Parkes; David B Sacks; M Sue Kirkman; Boris Kovatchev
Journal:  J Diabetes Sci Technol       Date:  2014-06-13

5.  Postmarket Approval Surveillance of a Low Acquisition Cost Blood Glucose Monitoring System: Assessment of the Accuracy Following ISO 15197:2013.

Authors:  Danielle A Grant; Gareth J Dunseath; Stephen C Bain; Stephen Luzio
Journal:  J Diabetes Sci Technol       Date:  2016-08-22

6.  ROSES: role of self-monitoring of blood glucose and intensive education in patients with Type 2 diabetes not receiving insulin. A pilot randomized clinical trial.

Authors:  M Franciosi; G Lucisano; F Pellegrini; A Cantarello; A Consoli; L Cucco; R Ghidelli; G Sartore; L Sciangula; A Nicolucci
Journal:  Diabet Med       Date:  2011-07       Impact factor: 4.359

7.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

8.  Analysis of the performance of the OneTouch SelectSimple blood glucose monitoring system: why ease of use studies need to be part of accuracy studies.

Authors:  Jan S Krouwer
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

9.  A Multicenter Performance Evaluation of a Blood Glucose Monitoring System in 21 Leading Hospitals in Spain.

Authors:  José Luis Bedini; Jane F Wallace; Thorsten Petruschke; Scott Pardo
Journal:  J Diabetes Sci Technol       Date:  2015-08-07

10.  Diabetes Ten City Challenge: final economic and clinical results.

Authors:  Toni Fera; Benjamin M Bluml; William M Ellis
Journal:  J Am Pharm Assoc (2003)       Date:  2009 May-Jun
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