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Published on: August 12, 2016
Glucose Patterns in Very Old Adults: A Pilot Study in a Community-Based Population
Elizabeth Selvin1, Dan Wang1, Olive Tang1,2
1Department of Epidemiology, Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Continuous glucose monitoring (CGM) is feasible in very old adults, revealing diverse glucose patterns and frequent hypoglycemia, even in those without diabetes. This technology offers valuable insights beyond HbA1c levels.
Area of Science:
- Gerontology
- Endocrinology
- Medical Devices
Background:
- Continuous glucose monitoring (CGM) offers detailed glucose insights, but data in the very old population are limited.
- Understanding glucose patterns in older adults is crucial for managing health and preventing complications.
Purpose of the Study:
- To evaluate the feasibility, acceptability, and glucose patterns observed with CGM in very old adults.
- To explore CGM-derived metrics in individuals with and without diabetes within this age group.
Main Methods:
- A pilot study enrolled 27 adults (mean age 81 years) from the Atherosclerosis Risk in Communities (ARIC) Study.
- Participants, including 8 with type 2 diabetes and 19 without, wore a CGM sensor for up to 14 days.
- Key CGM metrics analyzed included mean glucose, standard deviation, coefficient of variation, time-in-range, and hypoglycemia events.
Main Results:
- CGM was feasible and acceptable in very old adults, with a mean wear time of 13.2 days.
- Significant variability in CGM parameters was observed in both non-diabetic and diabetic participants.
- A high prevalence of hypoglycemia was detected in both groups, irrespective of diabetes status.
Conclusions:
- CGM provides valuable, nuanced glucose data in very old adults, complementing traditional HbA1c measurements.
- Low glucose readings on CGM are common in this population, including those without diabetes, though their clinical significance requires further investigation.
- CGM can offer complementary information to HbA1c, aiding in a more comprehensive understanding of glucose metabolism in the elderly.
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