通过替代损伤指数的子量表预测脑损伤严重程度。

Prediction of brain injury severity by subscales of the alternative impairment index.

作者信息

Horton A M

机构信息

Psych Associates, Towson, Maryland 21204, USA.

出版信息

Int J Neurosci. 2000 Nov;105(1-4):97-100.

PMID:11069050

Abstract

A new screening index, the Alternative Impairment Index (AII) reflects the severity of brain damage with hit rates of 60% with the Halstead Impairment Index (HII) and 64% with the General Neuropsychological Deficit Scale (GNDS) and a cross-validation study found a hit rate between the AII and the HII of 66%. This paper explores the use of demographic corrections (e.g., age, education and sex) to enable Cognitive (Cog) and Motor (Mot) Subscales of the AII to predict the severity of brain damage. A sample of 40 normal, psychiatric and brain-damaged subjects with Halstead-Reitan Neuropsychological Test Battery results was selected. The GNDS, HII, Cog and Mot were calculated for each brain-damaged patient. There were 36 males and four women in the subject group. Ages ranged from 19-66 and years of education ranged from 8-22. Demographic corrections produced worse than chance level results (Cog vs. GNDS = 42.5%, Cog vs. HII = 42.5%/Mot vs. GNDS = 42.5%, Mot vs. HII = 35%).

摘要

一种新的筛查指标——替代损伤指数（AII），能反映脑损伤的严重程度，其与霍尔斯特德损伤指数（HII）的命中率为60%，与一般神经心理缺陷量表（GNDS）的命中率为64%，一项交叉验证研究发现AII与HII之间的命中率为66%。本文探讨使用人口统计学校正（如年龄、教育程度和性别），以使AII的认知（Cog）和运动（Mot）子量表能够预测脑损伤的严重程度。选取了40名有霍尔斯特德-雷坦神经心理测试电池结果的正常、精神疾病和脑损伤受试者作为样本。为每位脑损伤患者计算GNDS、HII、Cog和Mot。受试者组中有36名男性和4名女性。年龄范围为19至66岁，教育年限范围为8至22年。人口统计学校正产生的结果比随机水平更差（Cog与GNDS对比 = 42.5%，Cog与HII对比 = 42.5%/Mot与GNDS对比 = 42.5%，Mot与HII对比 = 35%）。