aace2019 senseonics precise ii abstract eposter 120x60cm...
TRANSCRIPT
INTRODUCTIONYou may edit the size of the font, the sections distribution and the colour scheme if wanted. All modifications concerning the background/title display are to be done at a Master Slide level.
CONCLUSIONSHighlight this text and replace with your own text.
RESULTS
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ACKNOWLEDGEMENTSHighlight this text and replace with your own text.
AIMHow to use this poster template:
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REFERENCESHighlight this text and replace with your own text.
Can be Vancouver style i.e. 1 Meyer J-P et al. The treatment of high grade superficial bladder cancer and carcinoma in situ with BCG – a questionnaire survey of Consultant practice in England and Wales. UrolOncol 2002; 2;: 77-80
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To insert images, go through the menus as follows: Insert / Picture / From File. Locate the file on your computer, select and press OK. Please ensure all image files are JPEG.
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CONTACT INFORMATION Highlight this text and replace with your own text.
P o s t e r t i t l e g o e s h e r e Authors, FIRST NAME INITIAL, SURNAME, presenting author(s) underlined, Affiliations1 numbered in superscripte.g. B. SMITH 1, N. HARRISON 2 2 and P. MATTHEWS2
1University of New South Wales, Sydney, Australia2Royal Brisbane Hospital, Brisbane, Australia
QR CODE
The CGM system was inserted in 90 participants in PRECISE II (Table 1). SW602 resulted in 87% of CGM values within 15/15% of reference values over the total glucose range of 40–400 mg/dL (Figure 1) (15,753 matched pairs). Of note, accuracy ≤54 mg/dL showed 89% of CGM values within 15 mg/dL (Figure 2). The overall MARD improved to 8.5% (95% CI: 8.0, 9.1) (Figure 3).
Results
Application of the updated glucose calculation algorithm (SW602) to the raw sensor data from PRECISE II study using a post-hoc analysis method improved the MARD from 8.8% to 8.5% with a strong 15/15% metric of 87%. Severe hypoglycemic accuracy of ≤54 mg/dL was also robust with 89% of readings within 15 mg/dL.
Discussion
An improved MARD of 8.5% was demonstrated for the Eversense CGM system using an updated glucose calculation algorithm through 90 days of sensor wear time.
ConclusionTable 1: Baseline Characteristic (n=90)
Variable
Age, years (SD)Gender, male, n (%)Diabetes duration, years (SD)Baseline HbA1c, % (SD)Insulin-pump use, n (%)BMI, kg/m2 (SD)Type 1 Diabetes, n (%)
Value
45.1 (16.2)54 (60)
20.1 (13.7)7.6 (1.2)43 (48)
29.1 (6.2)61 (68)
Figure 2: 15/15% – Metric Comparison Measurement Range Segments
50
60
70
80
90
study software SW602
71-180
85% 85%
≤54
83% 89%
>180
87% 85%
>54-<71
86% 87%
15/15% metric study software vs SW602
[%]
[mg/dL]
Figure 1: 15/15% – Metric Comparison Total Measurement Range
7678808284868890
study software SW602
86% 87%[%]
15/15% metric40-400 [mg/dL]
Figure 3: MARD Comparison
7
7.5
8
8.5
9
8.8% 8.5%[%]
study software SW602
40-400 [mg/dL]MARD [%]
The algorithm to calculate glucose was updated (SW602) after the study was conducted. The raw sensor data obtained from the PRECISE II study was post-processed using SW602 and changes in performance were evaluated. The goal for SW602 was accuracy improvement early in sensor life and in the hypoglycemic range overall. The e�cacy measures of MARD between paired Eversense and Yellow Springs Instrument (YSI) reference measurements and percent of system agreement within 15 mg/dL or 15% of reference glucose measurements (15/15% metric) through 90 days were evaluated.
Methods
The safety and accuracy of the new implantable Eversense CGM system through 90 days in participants with type 1 or type 2 diabetes (T1D, T2D) was evaluated using a prospective, multi-center, blinded study design (PRECISE II). The study demonstrated that the CGM was safe with a mean absolute relative di�erence (MARD) of 8.8% using the study glucose algorithm software. The objective of this evaluation was to assess the e�ect of a new glucose calculation algorithm on the performance of the Eversense CGM.
Objective
Evaluation of the accuracy of an implantable CGM system with an updated glucose calculation algorithm
Mark Christiansen, MD1; Timothy S Bailey, MD2; Leslie J Kla�, MD, PhD3; Ron Brazg, MD3; Anna R Chang, MD4; Carol J Levy, MD5; David Lam, MD5; Douglas S Denham, DO6; Bruce W Bode, MD7; Ravi Rastogi, PhD8; and Katherine S Tweden, PhD8
1Diablo Clinical Research Inc., Walnut Creek, CA, USA; 2AMCR Institute Inc., Escondido, CA, USA; 3Rainer Clinical Research Center Inc., Renton, WA, USA; 4John Muir Health Clinical Research Center, Concord, CA, USA; 5Mount Sinai Diabetes Center, New York, NY, USA; 6Clinical Trials of Texas Inc., San Antonio, TX, USA; 7Atlanta Diabetes Associates, Atlanta, GA, USA; 8Senseonics Inc. Germantown, MD, USA
CONTACT INFORMATION Senseonics, Inc. 20451 Seneca Meadows Parkway, Germantown, MD 20876 Phone: 844-SENSE4U (736-7348) Email: [email protected]