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Identifying people at risk for severe hypoglycemia by CGM in a sample of people with reduced hypoglycemia awareness
Hermanns, Norbert; Freckmann, Guido; Ehrmann, Dominic; u. a. (2017): Identifying people at risk for severe hypoglycemia by CGM in a sample of people with reduced hypoglycemia awareness, in: Diabetes : a journal of the American Diabetes Association, Jg. 66, Nr. Suppl. 1, S. A233 (906-P).
Faculty/Chair:
Author:
Title of the Journal:
Diabetes : a journal of the American Diabetes Association
ISSN:
0012-1797
Corporate Body:
ADA Scientific Sessions, 77th, 2017, San Diego, California, USA
Year of publication:
2017
Volume:
66
Issue:
Suppl. 1
Pages:
Language:
English
Abstract:
It is well known that people with type 1 diabetes (pw1d) and hypoglycemia unawareness have an increased risk for severe hypoglycemia (SH); however, it is unknown if continuous glucose monitoring (CGM)helps to prospectively evaluate the risk of SH in such patients. We analyzed CGM recordings of 126 participants on MDI in the HypoDE study with hypoglycemia unawareness wearing blinded CGM (DexCom Gen 4) for 28 days (age 46.5±11.5 yrs. 36.5% female, HbA1c 7.5±1.0%, unawareness score 5.0±1.1). From these subjects, 65 (51.6%) reported occurrence of SH in the last year prior to study start. In a high-risk group of pw1d and hypoglycemia unawareness, CGM data on the exposure regarding hypoglycemic glucose values or number of hypoglycemic events ≤55 mg/dl predict the occurrence of SH. ROC analyses suggested meaningful cut-off values for the duration of hypoglycemic episodes, respectively the number of hypoglycemic events. These cut-off values can facilitate the identification of people with an elevated risk for SH even in a hypoglycemic high-risk group with reasonable sensitivity and specificity.
Peer Reviewed:
Yes:
International Distribution:
Yes:
Type:
Article
Activation date:
July 30, 2018
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/44229