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Detection of hypoglycemia associated EEG changes during sleep in type 1 diabetes mellitus. | LitMetric

AI Article Synopsis

  • The study investigates how nocturnal hypoglycemia affects individuals with type 1 diabetes who have impaired awareness of hypoglycemia (IAH), focusing on EEG changes that could signal when hypoglycemia occurs during sleep.
  • Ten patients were monitored through EEG during insulin-induced hypoglycemia both in the daytime and at night, with alarms triggered based on specific EEG patterns to alert them to eat.
  • The results showed that most participants exhibited EEG changes during both times, with some successfully correcting their hypoglycemia upon receiving the alarm, suggesting that continuous EEG monitoring could be a viable solution for detecting nocturnal hypoglycemia.

Article Abstract

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.

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Source
http://dx.doi.org/10.1016/j.diabres.2012.04.014DOI Listing

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