Iverson Grant L, Brooks Brian L, Young Allan H
University of British Columbia, Vancouver, Canada.
Appl Neuropsychol. 2009 Oct;16(4):254-61. doi: 10.1080/09084280903297594.
There is considerable interest in the identification of neurocognitive impairment in patients with depression. The purpose of this study is to illustrate a methodology for identifying frank neurocognitive impairment in clinical practice and research using a computerized battery of neuropsychological tests. Participants were 100 adult patients with depression who were not on antidepressants. They were carefully matched on age, education, gender, and ethnicity to 100 healthy adult control subjects. All participants completed the Central Nervous System Vital Signs (CNS-VS) computerized assessment battery, which takes approximately 30-40 minutes to administer. Patients with depression performed more poorly than controls on all five domain scores (Cohen's d ranged from d = .37 to .72). When using two or more scores below the 5th percentile as the cutoff for frank neurocognitive impairment, 31.0% of the depressed sample and only 5.0% of the control sample scored in this range. In this study, patients with depression were 8.5 times more likely to have two or more index scores that were below the 5th percentile. Computerized testing, using the interpretive methodology presented, represents an efficient methodology for identifying cognitive problems in patients who present with untreated depression.
抑郁症患者的神经认知障碍识别备受关注。本研究的目的是阐述一种在临床实践和研究中使用计算机化神经心理测试组合来识别明显神经认知障碍的方法。参与者为100名未服用抗抑郁药的成年抑郁症患者。他们在年龄、教育程度、性别和种族方面与100名健康成年对照者进行了仔细匹配。所有参与者都完成了中枢神经系统生命体征（CNS-VS）计算机化评估组合，该测试大约需要30至40分钟来进行。抑郁症患者在所有五个领域的得分均低于对照组（科恩d值范围从d = 0.37至0.72）。当使用两个或更多低于第5百分位数的分数作为明显神经认知障碍的临界值时，31.0%的抑郁症样本和仅5.0%的对照样本在此范围内得分。在本研究中，抑郁症患者出现两个或更多指数得分低于第5百分位数的可能性是对照组的8.5倍。使用所呈现的解释方法进行计算机化测试，是识别未治疗抑郁症患者认知问题的一种有效方法。
