BACKGROUND: cerebral small vessel disease (SVD) is the most common cause of vascular cognitive impairment (VCI). Despite this, there is a paucity of rapid simple screening tools to identify cognitive impairment in SVD and differentiate it from other common dementia types. OBJECTIVE: to validate a new screening test for cognitive impairment in SVD, the Brief Memory and Executive Test (BMET) battery, and examine its ability to detect SVD and differentiate it from Alzheimer's disease (AD). SUBJECTS: 45 patients with SVD, 27 patients with AD and 80 normal controls. METHODS: the BMET includes brief tests of executive functioning and processing speed, with comparative tests of memory and orientation. Group discrimination was calculated using discriminant function analysis. RESULTS: the BMET took an average of 10 min to administer. It showed high sensitivity (91%) and specificity (85%) in differentiating SVD patients with cognitive impairment from AD patients. As a comparison the mini-mental state examination had lower sensitivity (63%) and specificity (62%). CONCLUSIONS: the BMET is a simple and quick to administer clinical tool for the detection of VCI in SVD and its differentiation from AD impairment. Further multicentre studies are required to evaluate and compare it with other existing screening tests.
BACKGROUND:cerebral small vessel disease (SVD) is the most common cause of vascular cognitive impairment (VCI). Despite this, there is a paucity of rapid simple screening tools to identify cognitive impairment in SVD and differentiate it from other common dementia types. OBJECTIVE: to validate a new screening test for cognitive impairment in SVD, the Brief Memory and Executive Test (BMET) battery, and examine its ability to detect SVD and differentiate it from Alzheimer's disease (AD). SUBJECTS: 45 patients with SVD, 27 patients with AD and 80 normal controls. METHODS: the BMET includes brief tests of executive functioning and processing speed, with comparative tests of memory and orientation. Group discrimination was calculated using discriminant function analysis. RESULTS: the BMET took an average of 10 min to administer. It showed high sensitivity (91%) and specificity (85%) in differentiating SVDpatients with cognitive impairment from ADpatients. As a comparison the mini-mental state examination had lower sensitivity (63%) and specificity (62%). CONCLUSIONS: the BMET is a simple and quick to administer clinical tool for the detection of VCI in SVD and its differentiation from AD impairment. Further multicentre studies are required to evaluate and compare it with other existing screening tests.
Authors: Ziad S Nasreddine; Natalie A Phillips; Valérie Bédirian; Simon Charbonneau; Victor Whitehead; Isabelle Collin; Jeffrey L Cummings; Howard Chertkow Journal: J Am Geriatr Soc Date: 2005-04 Impact factor: 5.562
Authors: John T O'Brien; Timo Erkinjuntti; Barry Reisberg; Gustavo Roman; Tohru Sawada; Leonardo Pantoni; John V Bowler; Clive Ballard; Charles DeCarli; Philip B Gorelick; Kenneth Rockwood; Alistair Burns; Serge Gauthier; Steven T DeKosky Journal: Lancet Neurol Date: 2003-02 Impact factor: 44.182
Authors: Erin C McKay; John S Beck; Sok Kean Khoo; Karl J Dykema; Sandra L Cottingham; Mary E Winn; Henry L Paulson; Andrew P Lieberman; Scott E Counts Journal: J Neuropathol Exp Neurol Date: 2019-05-01 Impact factor: 3.685
Authors: Athanasia Metoki; Rebecca L Brookes; Eva Zeestraten; Andrew J Lawrence; Robin G Morris; Thomas R Barrick; Hugh S Markus; Rebecca A Charlton Journal: Neuropsychologia Date: 2017-07-24 Impact factor: 3.139
Authors: Matthew J Hollocks; Andrew J Lawrence; Rebecca L Brookes; Thomas R Barrick; Robin G Morris; Masud Husain; Hugh S Markus Journal: Brain Date: 2015-10-21 Impact factor: 13.501