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利用神经心理学、损伤严重程度及人口统计学数据预测脑损伤的长期认知结果。

Prediction of long-term cognitive outcome of brain injury with neuropsychological, severity of injury, and demographic data.

作者信息

Karzmark P

机构信息

Santa Clara Valley Medical Center, San José, California 95128.

出版信息

Brain Inj. 1992 May-Jun;6(3):213-7. doi: 10.3109/02699059209029662.

Abstract

A comparison was made of the relative power of a brief post-injury neuropsychological assessment and a brain-injury severity measure (PTA) to predict long-term cognitive outcome after severe brain injury. Subjects were 78 patients with severe brain injury. Regression analysis revealed that neuropsychological variables were as predictive of outcome as PTA. A combination of neuropsychological, brain-injury severity, and demographic variables predicted a substantial proportion of variance in both general cognitive ability and memory functioning at outcome. Removal of PTA from the set of predictors had only modest impact on predictive power, suggesting that, in the absence of accurate injury severity data, meaningful prediction about long-term cognitive outcome can still be made.

摘要

对损伤后简短神经心理学评估和脑损伤严重程度指标(伤后遗忘期)预测重度脑损伤后长期认知结果的相对效能进行了比较。研究对象为78例重度脑损伤患者。回归分析显示,神经心理学变量与伤后遗忘期对结果的预测能力相当。神经心理学、脑损伤严重程度和人口统计学变量的组合可预测结果时一般认知能力和记忆功能的很大一部分变异。从预测变量集中去除伤后遗忘期对预测效能只有适度影响,这表明,在缺乏准确的损伤严重程度数据时,仍可对长期认知结果做出有意义的预测。

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