TY - JOUR
T1 - Detection of hypoglycemia associated EEG changes during sleep in type 1 diabetes mellitus
AU - Snogdal, Lena Sønder
AU - Folkestad, Lars
AU - Elsborg, Rasmus
AU - Remvig, Line Sofie
AU - Beck-Nielsen, Henning
AU - Thorsteinsson, Birger
AU - Jennum, Poul
AU - Gjerstad, Michaela
AU - Juhl, Claus
N1 - Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.
PY - 2012/10
Y1 - 2012/10
N2 - Objective: Nocturnal hypoglycemia is a feared complication to insulin treated diabetes. Impaired awareness of hypoglycemia (IAH) increases the risk of severe hypoglycemia. EEG changes are demonstrated during daytime hypoglycemia. In this explorative study, we test the hypothesis that specific hypoglycemia-associated EEG-changes occur during sleep and are detectable in time for the patient to take action. Research design and methods: Ten patients with type 1 diabetes (duration 23.7 years) with IAH were exposed to insulin-induced hypoglycemia during the daytime and during sleep. EEG was recorded and analyzed real-time by an automated multi-parameter algorithm. Participants received an auditory alarm when EEG changes met a predefined threshold, and were instructed to consume a meal. Results: Seven out of eight participants developed hypoglycemia-associated EEG changes during daytime. During sleep, nine out of ten developed EEG changes (mean BG 2.0. mmol/l). Eight were awakened by the alarm. Four corrected hypoglycemia (mean BG 2.2. mmol/l), while four (mean BG 1.9. mmol/l) received glucose infusion. Two had false alarms. EEG-changes occurred irrespective of sleep stage. Post hoc improvement indicates the possibility of earlier detection of hypoglycemia. Conclusions: Continuous EEG monitoring and automated real-time analysis may constitute a novel technique for a hypoglycemia alarm in patients with IAH.
AB - Objective: Nocturnal hypoglycemia is a feared complication to insulin treated diabetes. Impaired awareness of hypoglycemia (IAH) increases the risk of severe hypoglycemia. EEG changes are demonstrated during daytime hypoglycemia. In this explorative study, we test the hypothesis that specific hypoglycemia-associated EEG-changes occur during sleep and are detectable in time for the patient to take action. Research design and methods: Ten patients with type 1 diabetes (duration 23.7 years) with IAH were exposed to insulin-induced hypoglycemia during the daytime and during sleep. EEG was recorded and analyzed real-time by an automated multi-parameter algorithm. Participants received an auditory alarm when EEG changes met a predefined threshold, and were instructed to consume a meal. Results: Seven out of eight participants developed hypoglycemia-associated EEG changes during daytime. During sleep, nine out of ten developed EEG changes (mean BG 2.0. mmol/l). Eight were awakened by the alarm. Four corrected hypoglycemia (mean BG 2.2. mmol/l), while four (mean BG 1.9. mmol/l) received glucose infusion. Two had false alarms. EEG-changes occurred irrespective of sleep stage. Post hoc improvement indicates the possibility of earlier detection of hypoglycemia. Conclusions: Continuous EEG monitoring and automated real-time analysis may constitute a novel technique for a hypoglycemia alarm in patients with IAH.
U2 - 10.1016/j.diabres.2012.04.014
DO - 10.1016/j.diabres.2012.04.014
M3 - Journal article
C2 - 22809714
SN - 0168-8227
VL - 98
SP - 91
EP - 97
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
IS - 1
ER -
