aace2019 senseonics precise ii abstract eposter 120x60cm...

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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. Conclusion Table 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/m 2 (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 76 78 80 82 84 86 88 90 study software SW602 86% 87% [%] 15/15% metric 40-400 [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 efficacy 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 difference (MARD) of 8.8% using the study glucose algorithm software. The objective of this evaluation was to assess the effect 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, MD 1 ; Timothy S Bailey, MD 2 ; Leslie J Klaff, MD, PhD 3 ; Ron Brazg, MD 3 ; Anna R Chang, MD 4 ; Carol J Levy, MD 5 ; David Lam, MD 5 ; Douglas S Denham, DO 6 ; Bruce W Bode, MD 7 ; Ravi Rastogi, PhD 8 ; and Katherine S Tweden, PhD 8 1 Diablo Clinical Research Inc., Walnut Creek, CA, USA; 2 AMCR Institute Inc., Escondido, CA, USA; 3 Rainer Clinical Research Center Inc., Renton, WA, USA; 4 John Muir Health Clinical Research Center, Concord, CA, USA; 5 Mount Sinai Diabetes Center, New York, NY, USA; 6 Clinical Trials of Texas Inc., San Antonio, TX, USA; 7 Atlanta Diabetes Associates, Atlanta, GA, USA; 8 Senseonics Inc. Germantown, MD, USA CONTACT INFORMATION Senseonics, Inc. 20451 Seneca Meadows Parkway, Germantown, MD 20876 Phone: 844-SENSE4U (736-7348) Email: [email protected]

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Page 1: AACE2019 Senseonics Precise II Abstract ePoster 120x60cm R6/media/Files/S/Senseonics-IR/docume… · • Re-write your paper into poster format i.e.. simplify everything, avoid data

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CONCLUSIONSHighlight this text and replace with your own text.

RESULTS

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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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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]