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Alarm settings of continuous glucose monitoring systems and associations to glucose outcomes in type 1 diabetes

  • Yu Kuei Lin
  • , Danielle Groat
  • , Owen Chan
  • , Man Hung
  • , Anu Sharma
  • , Michael W. Varner
  • , Ramkiran Gouripeddi
  • , Julio C. Facelli
  • , Simon J. Fisher

Research output: Contribution to journalArticlepeer-review

30 Scopus citations

Abstract

Context: Little evidence exists regarding the positive and negative impacts of continuous glucose monitor system (CGM) alarm settings for diabetes control in patients with type 1 diabetes (T1D). Objective: Evaluate the associations between CGM alarm settings and glucose outcomes. Design and Setting: A cross-sectional observational study in a single academic institution. Patients and Main Outcome Measures: CGM alarm settings and 2-week CGM glucose information were collected from 95 T1D patients with > 3 months of CGM use and ≥ 86% active usage time. The associations between CGM alarm settings and glucose outcomes were analyzed. Results: Higher glucose thresholds for hypoglycemia alarms (ie, ≥ 73 mg/dL vs < 73 mg/dL) were related to 51% and 65% less time with glucose < 70 and < 54 mg/dL, respectively (P = 0.005; P = 0.016), higher average glucose levels (P = 0.002) and less time-in-range (P = 0.005), but not more hypoglycemia alarms. The optimal alarm threshold for < 1% of time in hypoglycemia was 75 mg/dL. Lower glucose thresholds for hyperglycemia alarms (ie, ≤ 205 mg/dL vs > 205 mg/dL) were related to lower average glucose levels and 42% and 61% less time with glucose > 250 and > 320 mg/dL (P = 0.020, P = 0.016, P = 0.007, respectively), without more hypoglycemia. Lower alarm thresholds were also associated with more alarms (P < 0.0001). The optimal alarm threshold for < 5% of time in hyperglycemia and hemoglobin A1c ≤ 7% was 170 mg/dL. Conclusions: Different CGM glucose thresholds for hypo/hyperglycemia alarms are associated with various hypo/hyperglycemic outcomes. Configurations to the hypo/hyperglycemia alarm thresholds could be considered as an intervention to achieve therapeutic goals.

Original languageEnglish
Article numberbvz005
JournalJournal of the Endocrine Society
Volume4
Issue number1
DOIs
StatePublished - Jan 1 2020

Bibliographical note

Publisher Copyright:
© Endocrine Society 2019.

Funding

Financial Support: The current study was supported by NIDDK/WUSM DRC 2P30DK020579, University of Utah Diabetes and Metabolism Research Center, NIDDK 5T32DK091317, and NCATS 1ULTR002538.

FundersFunder number
NIDDK/WUSMDRC 2P30DK020579
University of Utah Diabetes and Metabolism Research Center
National Institute of Diabetes and Digestive and Kidney Diseases5T32DK091317
National Institute of Diabetes and Digestive and Kidney Diseases
National Center for Advancing Translational Sciences (NCATS)1ULTR002538
National Center for Advancing Translational Sciences (NCATS)

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Continuous glucose monitoring systems
    • Hyperglycemia
    • Hypoglycemia
    • Type 1 diabetes

    ASJC Scopus subject areas

    • Endocrinology, Diabetes and Metabolism

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