Literature DB >> 22809714

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

Lena Sønder Snogdal1, Lars Folkestad, Rasmus Elsborg, Line Sofie Remvig, Henning Beck-Nielsen, Birger Thorsteinsson, Poul Jennum, Michaela Gjerstad, Claus B Juhl.   

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.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22809714     DOI: 10.1016/j.diabres.2012.04.014

Source DB:  PubMed          Journal:  Diabetes Res Clin Pract        ISSN: 0168-8227            Impact factor:   5.602


  14 in total

1.  Nocturnal continuous glucose and sleep stage data in adults with type 1 diabetes in real-world conditions.

Authors:  Stephanie Feudjio Feupe; Patrick F Frias; Sara C Mednick; Elizabeth A McDevitt; Nathaniel D Heintzman
Journal:  J Diabetes Sci Technol       Date:  2013-09-01

2.  Hypoglycemia-associated electroencephalogram and electrocardiogram changes appear simultaneously.

Authors:  Anine Larsen; Kurt Højlund; Mikael Kjær Poulsen; Rasmus Elsborg Madsen; Claus B Juhl
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

3.  Hypoglycemia-related electroencephalogram changes are independent of gender, age, duration of diabetes, and awareness status in type 1 diabetes.

Authors:  Line Sofie Remvig; Rasmus Elsborg; Anne-Sophie Sejling; Jens Ahm Sørensen; Lena Sønder Snogdal; Lars Folkestad; Claus B Juhl
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

Review 4.  Type 1 Diabetes, Sleep, and Hypoglycemia.

Authors:  Bingqian Zhu; Ghada Mohammed Abu Irsheed; Pamela Martyn-Nemeth; Sirimon Reutrakul
Journal:  Curr Diab Rep       Date:  2021-12-13       Impact factor: 4.810

Review 5.  Hypoglycemia-Induced Changes in the Electroencephalogram: An Overview.

Authors:  Lykke Blaabjerg; Claus B Juhl
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

6.  Sleep and Glycemia in Youth With Type 1 Diabetes.

Authors:  Kaitlyn Rechenberg; Stephanie Griggs; Sangchoon Jeon; Nancy Redeker; Henry Klar Yaggi; Margaret Grey
Journal:  J Pediatr Health Care       Date:  2020-03-11       Impact factor: 1.812

7.  "Turn it off!": diabetes device alarm fatigue considerations for the present and the future.

Authors:  Joseph P Shivers; Linda Mackowiak; Henry Anhalt; Howard Zisser
Journal:  J Diabetes Sci Technol       Date:  2013-05-01

8.  Non-invasive, home-based electroencephalography hypoglycaemia warning system for personal monitoring using skin surface electrodes: a single-case feasibility study.

Authors:  Christopher J Clewett; Phillip Langley; Anthony D Bateson; Aziz Asghar; Antony J Wilkinson
Journal:  Healthc Technol Lett       Date:  2016-03-17

9.  Severe hypoglycemia in a juvenile diabetic rat model: presence and severity of seizures are associated with mortality.

Authors:  Margaret Maheandiran; Shanthini Mylvaganam; Chiping Wu; Youssef El-Hayek; Sonia Sugumar; Lili Hazrati; Martin del Campo; Adria Giacca; Liang Zhang; Peter L Carlen
Journal:  PLoS One       Date:  2013-12-30       Impact factor: 3.240

10.  Preprocessing by a Bayesian single-trial event-related potential estimation technique allows feasibility of an assistive single-channel P300-based brain-computer interface.

Authors:  Anahita Goljahani; Costanza D'Avanzo; Stefano Silvoni; Paolo Tonin; Francesco Piccione; Giovanni Sparacino
Journal:  Comput Math Methods Med       Date:  2014-07-07       Impact factor: 2.238

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