ABSTRACT
BACKGROUND: There are discrepant findings regarding which subscales of the Cambridge Cognitive Examination (CAMCOG) are able to predict cognitive decline. The study aimed to identify the baseline CAMCOG subscales that can discriminate between patients and predict cognitive decline in Alzheimer's disease (AD) and mild cognitive impairment (MCI). METHODS: This was a five-year case-control study of patients with cognitive impairment and a control group. Participants were grouped into AD (n = 121), MCI converted to dementia (MCI-Ad, n = 43), MCI-stable (MCI-St, n = 66), and controls (CTR, n = 112). Differences in the mean scores obtained by the four groups were examined. Receiver operating characteristic curves were used to compare subscale scores in the AD and MCI-Ad groups with those of controls. The influence of age, gender, schooling, and depression on baseline subscale scores was assessed. RESULTS: Of the CAMCOG subscales, Orientation and Memory (learning and recent) (OR + MEM) showed the highest discriminant capacity in the baseline analysis of the four groups. This baseline analysis indicated that OR + MEM was the best predictor of conversion to AD in the MCI-Ad group (area under the curve, AUC = 0.81), whereas the predictive capacity of the global MMSE and CAMCOG scores was poor (AUC = 0.59 and 0.53, respectively). CONCLUSIONS: In the baseline analysis, the Orientation and Memory (learning and recent) subscales showed the highest discriminant and predictive capacity as regards both cognitive decline in the AD group and conversion to AD among MCI-Ad patients. This was not affected by age, gender, schooling, or depression.
Subject(s)
Alzheimer Disease/diagnosis , Cognitive Dysfunction/diagnosis , Neuropsychological Tests , Age Factors , Aged , Alzheimer Disease/psychology , Case-Control Studies , Cognitive Dysfunction/psychology , Depression/psychology , Educational Status , Female , Follow-Up Studies , Humans , Longitudinal Studies , Male , Memory , Orientation , ROC Curve , Sex FactorsABSTRACT
OBJECTIVE: Data in the literature show different estimates of the prevalence of depression in patients with Alzheimer disease (AD) when different classification systems are used. This study describes the prevalence and clinical features of depression in AD based on five different depression classification systems. METHODS: This was a cross-sectional, observational study of 491 patients with probable AD. Depression was diagnosed using five classification systems (International Classification of Diseases, 10th Revision [ICD-10], Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition [DSM-IV], Cambridge Examination for Mental Disorder of the Elderly [CAMDEX], Provisional Diagnostic Criteria for depression in AD [PDC-dAD], Neuropsychiatric Inventory [NPI]). RESULTS: The prevalence of depression was 4.9% (95% confidence interval [CI]: 3.2-7.1) according to ICD-10 criteria; 9.8% (95% CI: 7.3-12.6) according to CAMDEX; 13.4% (95% CI: 10.6-16.6) according to DSM-IV; 27.4% (95% CI: 23.6-31.5) according to PDC-dAD criteria; and 43.7% (95% CI: 39.4-48.2) when using the screening questions from the NPI depression subscale. The level of agreement between the classification systems was low to moderate (kappa <0.52). The characteristics associated with the most diagnostic disagreement were loss of confidence or self-esteem and irritability. CONCLUSIONS: This study shows that there is a high variability in the prevalence rates of depression in AD depending on the diagnostic criteria used and that there is a low rate of agreement among the diagnostic criteria analyzed. The results suggest that the use of generic diagnostic criteria such as the ICD-10, the CAMDEX, or DSM-IV provides low prevalence rates of depression in patients with AD compared with specific diagnostic criteria such as the PDC-dAD.
