肝性脑病
医学
脑电图
用户友好型
计算机科学
重症监护医学
内科学
精神科
操作系统
肝硬化
作者
Sami Schiff,Mariella Casa,Valeria Di,D. Aprile,Giuseppe Spinelli,Michele De Rui,Paolo Angeli,Piero Amodio,Sara Montagnese
出处
期刊:Hepatology
[Lippincott Williams & Wilkins]
日期:2016-02-02
卷期号:63 (5): 1651-1659
被引量:31
摘要
Electroencephalography (EEG) is useful to objectively diagnose/grade hepatic encephalopathy (HE) across its spectrum of severity. However, it requires expensive equipment, and hepatogastroenterologists are generally unfamiliar with its acquisition/interpretation. Recent technological advances have led to the development of low‐cost, user‐friendly EEG systems, allowing EEG acquisition also in settings with limited neurophysiological experience. The aim of this study was to assess the relationship between EEG parameters obtained from a standard‐EEG system and from a commercial, low‐cost wireless headset (light‐EEG) in patients with cirrhosis and varying degrees of HE. Seventy‐two patients (58 males, 61 ± 9 years) underwent clinical evaluation, the Psychometric Hepatic Encephalopathy Score (PHES), and EEG recording with both systems. Automated EEG parameters were calculated on two derivations. Strong correlations were observed between automated parameters obtained from the two EEG systems. Bland and Altman analysis indicated that the two systems provided comparable automated parameters, and agreement between classifications (normal versus abnormal EEG) based on standard‐EEG and light‐EEG was good (0.6 < κ < 0.8). Automated parameters such as the mean dominant frequency obtained from the light‐EEG correlated significantly with the Model for End‐Stage Liver Disease score ( r = −0.39, P < 0.05), fasting venous ammonia levels ( r = −0.41, P < 0.01), and PHES ( r = −0.49, P < 0.001). Finally, significant differences in light‐EEG parameters were observed in patients with varying degrees of HE. Conclusion: Reliable EEG parameters for HE diagnosing/grading can be obtained from a cheap, commercial, wireless headset; this may lead to more widespread use of this patient‐independent tool both in routine liver practice and in the research setting. (H epatology 2016;63:1651‐1659)
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