Reliability of real-time continuous glucose monitoring in infants

Pediatr Int. 2019 Oct;61(10):1001-1006. doi: 10.1111/ped.13961. Epub 2019 Oct 17.

Abstract

Background: Neonatal hypoglycemia is a common and treatable risk factor for neurological impairment. Real-time continuous glucose monitoring (RT-CGM) can show glucose concentration in real time. Using an RT-CGM alarm, physicians can be alerted and intervene in hypoglycemia. No reports, however, have evaluated the reliability of RT-CGM at low glucose levels in infants. This study therefore investigated the difference between blood glucose (BG) and RT-CGM sensor data at low glucose levels and assessed the optimum method of using a hypoglycemic alarm in infants.

Methods: We enrolled infants whose glycemic management was difficult. We calculated the mean absolute difference (MAD) and mean absolute relative difference (MARD) between BG and RT-CGM sensor data. We compared the MAD and MARD between the low BG fluctuation and high BG fluctuation groups.

Results: We used RT-CGM for 12 patients (29 times) and investigated 448 pairs of BG and RT-CGM sensor data. The MAD between these pairs was 9.3 ± 8.9 mg/dL, and the MARD was 11.5%. The MAD at low glucose was 7.7 ± 6.0 mg/dL, and the MARD was 16.2%. The MAD and MARD were 6.8 ± 5.4 mg/dL and 7.8% in the low fluctuation group and 10.1 ± 9.5 mg/dL and 12.7% in the high fluctuation group, respectively.

Conclusions: The difference between BG and RT-CGM sensor data changes with the degree of fluctuation in BG. When physicians set the hypoglycemic alarm, consideration of this difference and a change in the alarm setting according to the degree of fluctuation in BG may be useful.

Keywords: alarm; blood glucose; hypoglycemia; neonate.

Publication types

  • Clinical Trial
  • Comparative Study

MeSH terms

  • Biomarkers / blood
  • Blood Glucose / metabolism*
  • Clinical Alarms*
  • Computer Systems*
  • Female
  • Humans
  • Hypoglycemia / blood
  • Hypoglycemia / diagnosis*
  • Infant, Newborn
  • Male
  • Monitoring, Physiologic
  • Reproducibility of Results

Substances

  • Biomarkers
  • Blood Glucose