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Regular Research Articles |
From the Departments of Neurology (ET, JMR, GB, JLC) and Psychiatry and Biobehavioral Sciences (JLC), David Geffen School of Medicine at UCLA, Los Angeles, CA; Institute for Health and Aging, UCSF School of Nursing, San Francisco (LKR); Program in Nursing Science (RAM) and Institute for Brain Aging and Dementia (MBD), UC Irvine, Irvine, CA; Department of Psychiatry, Stanford University, Stanford, CA (HDD); Department of Neurosciences, UC San Diego and VA Medical Center, San Diego, CA (DG); Alzheimers & Memory Center, UCSF-Fresno, Fresno, CA (LH); Department of Neurology, UC Davis, Davis, CA (DM); Alzheimers Disease Center, UC Davis, Martinez, CA (BRR); Departments of Psychiatry, Neurology, and Gerontology, Keck School of Medicine, USC, Los Angeles (LSS); Rancho Los Amigos National Rehabilitation Center, Keck School of Medicine, USC, Downey, CA (FS-G); Departments of Psychiatry, Neurology, and Epidemiology and Biostatistics, UCSF, San Francisco (KY).
Objective: To compare the rates of depression in Alzheimer Disease (AD) determined using National Institute of Mental Health (NIMH) provisional criteria for depression in AD (NIMH-dAD) to those determined using other established depression assessment tools.
Design: Descriptive longitudinal cohort study.
Setting: The Alzheimers Disease Research Centers of California.
Participants: A cohort of 101 patients meeting NINDS-ADRDA criteria for possible/probable AD, intentionally selected to increase the frequency of depression at baseline.
Measurements: Depression was diagnosed at baseline and after 3 months using NIMH-dAD criteria and the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (DSM-IV) Axis I Disorders. Depressive symptoms also were assessed with the Cornell Scale for Depression in Dementia (CSDD), the Geriatric Depression Scale (GDS), and the Neuropsychiatric Inventory Questionnaire.
Results: The baseline frequency of depression using NIMH-dAD criteria (44%) was higher than that obtained using DSM-IV criteria for major depression (14%; Z = –5.50, df = 101, p <0.001) and major or minor depression (36%; Z = –2.86, df = 101, p = 0.021) or using established cut-offs for the CSDD (30%; Z = –2.86, df = 101, p = 0.004) or GDS (33%; Z = –2.04, df = 101, p = 0.041). The NIMH-dAD criteria correctly identified all patients meeting DSM-IV criteria for major depression, and correlated well with DSM-IV criteria for major or minor depression (
= 0.753, p <0.001), exhibiting 94% sensitivity and 85% specificity. The higher rates of depression found with NIMH-dAD criteria derived primarily from its less stringent requirements for the frequency and duration of symptoms. Remission rates at 3 months were similar across instruments.
Conclusions: The NIMH-dAD criteria identify a greater proportion of AD patients as depressed than several other established tools.
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