Literature DB >> 23820485

Predictors of outcome in hypoglycemic encephalopathy.

Tetsuhiko Ikeda1, Tetsuya Takahashi, Aki Sato, Hajime Tanaka, Shuichi Igarashi, Nobuya Fujita, Takeo Kuwabara, Masato Kanazawa, Masatoyo Nishizawa, Takayoshi Shimohata.   

Abstract

AIMS: The aim of this study was to investigate factors predicting poor prognosis in patients with hypoglycemic encephalopathy.
METHODS: We retrospectively analyzed data on 165 consecutive patients with hypoglycemic encephalopathy. We evaluated their outcome 1 week after hypoglycemia onset using the Glasgow outcome scale (GOS) and compared the clinical features of patients with good outcomes (GOS = 5) and poor outcomes (GOS ≤ 4).
RESULTS: The poor-outcome group included 38 patients (23%). The initial blood glucose level in the poor-outcome group was lower than that in the good-outcome group (p = 0.002). The duration of hypoglycemia in the poor-outcome group was longer than that in the good-outcome group (p < 0.001). Body temperature during hypoglycemia in the poor-outcome group was higher than that in the good-outcome group (p < 0.001). Furthermore, lactic acid level in the poor-outcome group was lower than in the good-outcome group (p = 0.032). There was no significant difference in the frequency of posttreatment hyperglycemia between the good-outcome and poor-outcome groups (p = 0.984).
CONCLUSION: Profound and prolonged hypoglycemia, normal or higher body temperature, and a low lactic acid level during hypoglycemia may be predictors of a poor outcome in patients with hypoglycemic encephalopathy.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Body temperature; Glasgow outcome scale; Hypoglycemic encephalopathy; Prognosis

Mesh:

Substances:

Year:  2013        PMID: 23820485     DOI: 10.1016/j.diabres.2013.05.007

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


  14 in total

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9.  Continuous Glucose Monitoring in Resource-Constrained Settings for Hypoglycaemia Detection: Looking at the Problem from the Other Side of the Coin.

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10.  A multimodal approach using somatosensory evoked potentials for prognostication in hypoglycemic encephalopathy.

Authors:  James J Gugger; Romergryko G Geocadin; Peter W Kaplan
Journal:  Clin Neurophysiol Pract       Date:  2019-10-17
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