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老年人低血糖脑病的临床及神经影像学特征
引用本文:刘学伍,吴伟,王淑贞,曹丽丽,赵秀鹤,陈瑞冬,苏立军,董国庆,迟兆富. 老年人低血糖脑病的临床及神经影像学特征[J]. 中华神经科杂志, 2008, 41(9)
作者姓名:刘学伍  吴伟  王淑贞  曹丽丽  赵秀鹤  陈瑞冬  苏立军  董国庆  迟兆富
作者单位:山东大学齐鲁医院神经内科,济南,250012
基金项目:山东省医药卫生科研项目 
摘    要:
目的 探讨老年人低血糖脑病的临床及神经影像学特点.方法 对36例低血糖伴神经系统表现的患者进行病史回顾、临床分析及颅脑CT和MRI检查.结果 36例低血糖患者11例发现颅脑MRI典型的双侧尾状核和豆状核对称性异常信号,而脑CT相应部位未见明显异常,病前27例有感染、发热等诱因,临床表现多种多样.低血糖脑病的发生以老年糖尿病患者口服或注射降糖药者居多.随访6个月,神经影像学无明显好转.结论 低血糖脑病临床表现多不典型,对意识障碍的患者,要注意低血糖反应.颅脑CT对低血糖脑病的诊断价值不大,颅脑MRI对重症患者的诊断具有重要价值.特征性的磁共振表现预示着病情危重,且预后不良.

关 键 词:低血糖症  昏迷  老年人  体层摄影术,X线计算机  磁共振成像

Clinical and neuroimaging features of hypoglycemia encephalopathy in the elderly
LIU Xue-wu,WU Wei,WANG Shu-zhen,CAO Li-li,ZHAO Xiu-he,CHEN Rui-dong,SU Li-jun,DONG Guo-qing,CHI Zhao-fu. Clinical and neuroimaging features of hypoglycemia encephalopathy in the elderly[J]. Chinese Journal of Neurology, 2008, 41(9)
Authors:LIU Xue-wu  WU Wei  WANG Shu-zhen  CAO Li-li  ZHAO Xiu-he  CHEN Rui-dong  SU Li-jun  DONG Guo-qing  CHI Zhao-fu
Abstract:
Objective To investigate the clinical and neuroimaging features of hypoglycemia encephalopathy in the elderly. Methods The history and clinical features of 36 patients who had undergone brain CT and MRI were analyzed retrospectively. Results Twenty-seven patients had infections and fevers as a trigger, presenting all kinds of symptoms. Eleven cases were found to have abnormal signals in bilateral caudate nucleus and lenticular nucleus in MRL But CT examination showed no new lesions in corresponding position. Hypoglycemia encephalopathy were commanly found in the elderly who had diabetes mellitus and treated with drugs. After being followed up for 6 months, their neuroimaging did not change. Conclusions Because the patients often present unconsciousness and weakness with a sudden onset, hypoglycemia is easily mistaken for other disorders, especially in the elderly. For those with consciousness, we should pay more attations to hypoglycemia. Brain CT has no value of diagnosing hypoglycemia encephalopathy, while MRI plays an impotant role in diagnosing the disease. The characteristic MRI features predicts a bad prognosis.
Keywords:Hypoglycemia  Coma  Aged  Tomography,x-ray computed  Magnetic resonance imaging
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