Evaluation of Accuracy and Safety of the Next-Generation Up to 180-Day Long-Term Implantable Eversense Continuous Glucose Monitoring System: The PROMISE Study.

Satish K Garg, David Liljenquist, Bruce Bode, Mark P Christiansen, Timothy S Bailey, Ronald L Brazg, Douglas S Denham, Anna R Chang, Halis Kaan Akturk, Andrew Dehennis, Katherine S Tweden, Francine R Kaufman
Author Information
  1. Satish K Garg: University of Colorado, Aurora, Colorado, USA.
  2. David Liljenquist: Rocky Mountain Diabetes Center, Idaho Falls, Idaho, USA.
  3. Bruce Bode: Atlanta Diabetes Associates, Atlanta, Georgia, USA.
  4. Mark P Christiansen: Diablo Clinical Research, Walnut Creek, California, USA.
  5. Timothy S Bailey: AMCR Institute, Escondido, California, USA. ORCID
  6. Ronald L Brazg: Rainier Clinical Research Center, Renton, Washington, USA.
  7. Douglas S Denham: Clinical Trials of Texas, Inc., San Antonio, Texas, USA.
  8. Anna R Chang: John Muir Health, Concord, California, USA.
  9. Halis Kaan Akturk: University of Colorado, Aurora, Colorado, USA. ORCID
  10. Andrew Dehennis: Senseonics, Inc., Germantown, Maryland, USA.
  11. Katherine S Tweden: Senseonics, Inc., Germantown, Maryland, USA. ORCID
  12. Francine R Kaufman: Senseonics, Inc., Germantown, Maryland, USA.

Abstract

Use of continuous glucose monitoring (CGM) systems is being rapidly adopted as standard of care for insulin-requiring patients with diabetes. The PROMISE study (NCT03808376) evaluated the accuracy and safety of the next-generation implantable Eversense CGM system for up to 180 days. This was a prospective multicenter study involving 181 subjects with diabetes at 8 USA sites. All subjects were inserted with a primary sensor. Ninety-six subjects had a second sensor, either an identical sensor or a modified sensor (sacrificial boronic acid [SBA]), inserted in their other arm (53 and 43 subjects, respectively). Accuracy was evaluated by comparing CGM to YSI 2300 glucose analyzer (Yellow Springs Instrument [YSI]) values during 10 clinic visits (day 1-180). Confirmed event detection rates, calibration stability, sensor survival, and serious adverse events (SAEs) were evaluated. For primary sensors, the percent CGM readings within 20%/20% of YSI values was 92.9%; overall mean absolute relative difference (MARD) was 9.1%. The confirmed alert detection rate at 70 mg/dL was 93% and at 180 mg/dL was 99%. The median percentage of time for one calibration per day was 56%. Sixty-five percent of the primary sensors survived to 180 days. For the SBA sensors, the percent CGM readings within 20%/20% of YSI values was 93.9%; overall MARD was 8.5%. The confirmed alert detection rate at 70 mg/dL was 94% and at 180 mg/dL was 99%. The median percentage of time for one calibration per day was 63%. Ninety percent of the SBA sensors survived to 180 days. No device- or insertion/removal procedure-related SAEs were reported. These data show the next-generation Eversense CGM system had sustained accuracy and safety up to 180 days, with an improved calibration scheme and survival, using the primary or SBA sensors.

Keywords

References

  1. Diabetes Technol Ther. 2018 Jun;20(6):420-427 [PMID: 29923774]
  2. Diabetes Technol Ther. 2020 Jan;22(1):48-52 [PMID: 31418587]
  3. Clin Diabetes. 2018 Jan;36(1):50-58 [PMID: 29382979]
  4. Diabetes Obes Metab. 2019 Jul;21(7):1689-1694 [PMID: 30938036]
  5. Diabetes Care. 2017 Jan;40(1):63-68 [PMID: 27815290]
  6. JAMA. 2017 Jan 24;317(4):379-387 [PMID: 28118454]
  7. Diabetes Care. 2019 Aug;42(8):1593-1603 [PMID: 31177185]
  8. Diabetes Technol Ther. 2018 Mar;20(3):197-206 [PMID: 29381090]
  9. Diabetes Technol Ther. 2017 May;19(S2):S55-S61 [PMID: 28541131]
  10. Diabetes Technol Ther. 2019 Dec;21(12):677-681 [PMID: 31385732]
  11. Biosens Bioelectron. 2014 Nov 15;61:227-31 [PMID: 24906080]
  12. JAMA. 2017 Jan 24;317(4):371-378 [PMID: 28118453]
  13. J Biomed Mater Res A. 2013 May;101(5):1274-82 [PMID: 23071075]
  14. Diabetes Obes Metab. 2020 Jul;22(7):1056-1061 [PMID: 32037699]
  15. Diabetes Technol Ther. 2019 May;21(5):231-237 [PMID: 30925083]
  16. Diabetes Care. 2021 Jan;44(Suppl 1):S85-S99 [PMID: 33298418]
  17. Diabetes Technol Ther. 2018 May;20(5):344-352 [PMID: 29600877]
  18. Diabetes Technol Ther. 2019 Feb;21(2):66-72 [PMID: 30657336]

MeSH Term

Blood Glucose
Blood Glucose Self-Monitoring
Diabetes Mellitus, Type 1
Diabetes Mellitus, Type 2
Humans
Prospective Studies
Reproducibility of Results

Chemicals

Blood Glucose

Word Cloud

Created with Highcharts 10.0.0CGMsensorsensorsEversense180dayssubjectsprimarycalibrationpercentglucosePROMISEstudyevaluatedYSIvaluesdaydetectionSBAmonitoringdiabetesaccuracysafetynext-generationsystem8insertedAccuracysurvivalSAEsreadingswithin20%/20%9%overallMARDconfirmedalertrate70 mg/dL180 mg/dL99%medianpercentagetimeonepersurvivedImplantableContinuousUsecontinuoussystemsrapidlyadoptedstandardcareinsulin-requiringpatientsNCT03808376implantableprospectivemulticenterinvolving181USAsitesNinety-sixsecondeitheridenticalmodifiedsacrificialboronicacid[SBA]arm5343respectivelycomparing2300analyzerYellowSpringsInstrument[YSI]10clinicvisits1-180Confirmedeventratesstabilityseriousadverseevents92meanabsoluterelativedifference91%93%56%Sixty-five935%94%63%Ninetydevice-insertion/removalprocedure-relatedreporteddatashowsustainedimprovedschemeusingEvaluationSafetyNext-Generation180-DayLong-TermGlucoseMonitoringSystem:Study

Similar Articles

Cited By (24)