AgaMatrix Wavesense Jazz
Device Name:
Wavesense Jazz
Manufacturer:
AgaMatrix Inc., 7C Raymond Avenue, Salem, NH 03079, UNITED STATES.
Measuring functions:
Blood glucose
Primary Client Use:
Intended for self-measurement and home use
Measurement Site:
Finger and general Alternative Site Testing
Measurement Occurrence:
Single measurements only
Availability:
Available Currently
Device Manual:
Click here to download the Device Manual
Description:
The AgaMatrix Wavesense Jazz is an automatic blood glucose meter. Its blood glucose measurement technology has been proven to be accurate, with a 2-star Medaval rating. Blood glucose measurements are normally taken from the finger but alternative site testing is allowed. It is intended for self-measurement and home use.
Assessment:
The technology used in the AgaMatrix Wavesense Jazz, to measure blood glucose, has passed in a clinical validation study, in a general population, according to a recognised standard protocol, as published in a peer-reviewed publication.
Recommendations:
Accuracy AssessmentRecommendationBasis
BG Medaval ★★ Recommendation Recent clinical validation; recent protocol
BG FDA (US) 510(k) 510(k) K071393
BG TÜV SÜD (DE) General use Unpublished internal data
BG MDR Criteria Self-measurement Published evidence
Device Family:
AgaMatrix Sanofi iBGStarF, AgaMatrix Wavesense JazzF, AgaMatrix LibertyF
Legend: F FDA 510(k)
Validation Publications:

Freckmann G, Schmid C, Baumstark A, Pleus S, Link M, Haug C. System accuracy evaluation of 43 blood glucose monitoring systems for self-monitoring of blood glucose according to DIN EN ISO 15197. J Diabetes Sci Technol. 2012 Sep 1;6(5):1060-75. PMID: 23063032. Available from: PMC3570840.

15197:2003 - Fail General population

15197:2013 - Fail General population

Grant DA, Dunseath GJ, Bain SC, Luzio S. Postmarket Approval Surveillance of a Low Acquisition Cost Blood Glucose Monitoring System: Assessment of the Accuracy Following ISO 15197:2013. J Diabetes Sci Technol. 2016 Sep;10(5):1195-6. Epub: 2016 May 12. doi: 10.1177/1932296816648991. PMID: 27179012. Available from: PMC5032959.

15197:2013 - Pass General population

Validation Publications for Equivalent Devices:

Note: This is a provisional list, as equivalence according to EU Regulation 2017/745 (e.g. MEDDEV 2.7/1 rev 4) is not proven. Accordingly, these publications are not used in the assessment of star-ratings.

AgaMatrix Sanofi iBGStar

Freckmann G, Schmid C, Baumstark A, Pleus S, Link M, Haug C. System accuracy evaluation of 43 blood glucose monitoring systems for self-monitoring of blood glucose according to DIN EN ISO 15197. J Diabetes Sci Technol. 2012 Sep 1;6(5):1060-75. PMID: 23063032. Available from: PMC3570840.

15197:2003 - Fail General population

15197:2013 - Fail General population

Pfützner A, Mitri M, Musholt PB, Sachsenheimer D, Borchert M, Yap A, Forst T. Clinical assessment of the accuracy of blood glucose measurement devices. Curr Med Res Opin. 2012 Apr;28(4):525-31. Epub: 2012 Mar 21. doi: 10.1185/03007995.2012.673479. PMID: 22435798.

15197:2003 - Pass General population

Pfützner A, Schipper C, Ramljak S, Flacke F, Sieber J, Forst T, Musholt PB. Evaluation of the effects of insufficient blood volume samples on the performance of blood glucose self-test meters. J Diabetes Sci Technol. 2013 Nov 1;7(6):1522-9. doi: 10.1177/193229681300700612. PMID: 24351178. Available from: PMC3876330.

15197:2003 - Pass Using insufficient blood samples (n=31)

Pfützner A, Hengesbach C, Demircik F, Schipper C, Forst T, Musholt PB. Performance of blood glucose meters in compliance with current and future clinical ISO15197 accuracy criteria. Curr Med Res Opin. 2014 Feb;30(2):185-90. Epub: 2013 Nov 6. doi: 10.1185/03007995.2013.858617. PMID: 24156775.

15197:2003 - Pass General population

15197:2013 - Pass General population

Hasslacher C, Kulozik F, Platten I. Analytical performance of glucose monitoring systems at different blood glucose ranges and analysis of outliers in a clinical setting. J Diabetes Sci Technol. 2014 May;8(3):466-72. Epub: 2014 Feb 18. doi: 10.1177/1932296814522804. PMID: 24876607. Available from: PMC4455429.

15197:2013 - Pass General population

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