Validation of Montgomery-Åsberg Rating Scale and Cornell Scale for Depression in Dementia in Brazilian elderly patients.

BACKGROUND

There are few studies on validation of depression scales in the elderly in Latin America. This study aimed to assess the validity of Montgomery-Åsberg. Depression Rating Scale (MADRS) and Cornell Scale for Depression in Dementia (CSDD) in Brazilian elderly outpatients.

METHODS

A convenience sample of 95 outpatients was diagnosed for dementia and depression according to DSM-IV-TR, ICD-10, and PDC-dAD criteria. Receiver Operating Curves (ROC) were used to calculate the area under the curve (AUC) and to assess MADRS and CSDD cut-offs for each diagnostic criterion.

RESULTS

Dementia was diagnosed in 71 of 95 patients. Depression was diagnosed in 35, 30, and 51 patients by ICD-10, DSM-IV, and PDC-dAD, respectively. MADRS cut-off score of 10 correctly diagnosed 67.4% and 66.3% patients as depressed according to DSM-IV and ICD-10. A cut-off of 9 correctly identified 74.7% by PDC-dAD criteria; a CSDD cut-off score of 13 best recognized depression according to DSM-IV and ICD-10. A score of 11 diagnosed depression according to PDC-dAD, while MADRS = 9 recognized depression in dementia. CSDD was more efficient in showing depression in mild than in moderate/severe dementia according to DSM-IV/ICD-10. PDC-dAD behaved nicely for any severity stage.

CONCLUSION

MADRS and CSDD cut-offs of 10 and 13 were the optimal ones to diagnose depression in elderly, respectively. CSDD cut-offs are higher than those found in other countries. Other Latin American studies are needed to compare results with our study.