BACKGROUND: Physicians often miss diagnosis of mild cognitive impairment (MCI) or early dementia and screening measures can be insensitive to very mild impairments. Other cognitive assessments may take too much time or be frustrating to seniors. This study examined the ability of an audio-recorded scale, developed in Australia, to detect MCI or mild Alzheimer's disease (AD) and compared cognitive domain-specific performance on the audio-recorded scale to in-person battery and common cognitive screens. METHOD: Seventy-six patients from the Mount Sinai Alzheimer's Disease Research Center were recruited. Patients were aged 75 years or older, with clinical diagnosis of AD or MCI (n = 51) or normal control (n = 25). Participants underwent in-person neuropsychological testing followed by testing with the audio-recorded cognitive screen (ARCS). RESULTS: ARCS provided better discrimination between normal and impaired elderly individuals than either the Mini-Mental State Examination or the clock drawing test. The in-person battery and ARCS analogous variables were significantly correlated, most in the 0.4 to 0.7 range, including verbal memory, executive function/attention, naming, and verbal fluency. The area under the curve generated from the receiver operating characteristic curves indicated high and equivalent discrimination for ARCS and the in-person battery (0.972 vs. 0.988; p = 0.23). CONCLUSION: The ARCS demonstrated better discrimination between normal controls and those with mild deficits than typical screening measures. Performance on cognitive domains within the ARCS was well correlated with the in-person battery. Completion of the ARCS was accomplished despite mild difficulty hearing the instructions even in very elderly participants, indicating that it may be a useful measure in primary care settings.
BACKGROUND: Physicians often miss diagnosis of mild cognitive impairment (MCI) or early dementia and screening measures can be insensitive to very mild impairments. Other cognitive assessments may take too much time or be frustrating to seniors. This study examined the ability of an audio-recorded scale, developed in Australia, to detect MCI or mild Alzheimer's disease (AD) and compared cognitive domain-specific performance on the audio-recorded scale to in-person battery and common cognitive screens. METHOD: Seventy-six patients from the Mount Sinai Alzheimer's Disease Research Center were recruited. Patients were aged 75 years or older, with clinical diagnosis of AD or MCI (n = 51) or normal control (n = 25). Participants underwent in-person neuropsychological testing followed by testing with the audio-recorded cognitive screen (ARCS). RESULTS: ARCS provided better discrimination between normal and impaired elderly individuals than either the Mini-Mental State Examination or the clock drawing test. The in-person battery and ARCS analogous variables were significantly correlated, most in the 0.4 to 0.7 range, including verbal memory, executive function/attention, naming, and verbal fluency. The area under the curve generated from the receiver operating characteristic curves indicated high and equivalent discrimination for ARCS and the in-person battery (0.972 vs. 0.988; p = 0.23). CONCLUSION: The ARCS demonstrated better discrimination between normal controls and those with mild deficits than typical screening measures. Performance on cognitive domains within the ARCS was well correlated with the in-person battery. Completion of the ARCS was accomplished despite mild difficulty hearing the instructions even in very elderly participants, indicating that it may be a useful measure in primary care settings.
Authors: H Kaduszkiewicz; T Zimmermann; H Van den Bussche; C Bachmann; B Wiese; H Bickel; E Mösch; H-P Romberg; F Jessen; G Cvetanovska-Pllashniku; W Maier; S G Riedel-Heller; M Luppa; H Sandholzer; S Weyerer; M Mayer; A Hofmann; A Fuchs; H-H Abholz; M Pentzek Journal: J Nutr Health Aging Date: 2010-10 Impact factor: 4.075
Authors: Peter W Schofield; Stephen J Lee; Terry J Lewin; Grant Lyall; Jonson Moyle; John Attia; Mark McEvoy Journal: J Neurol Neurosurg Psychiatry Date: 2009-12-03 Impact factor: 10.154
Authors: Tim A Bruckner; Richard M Scheffler; Gordon Shen; Jangho Yoon; Dan Chisholm; Jodi Morris; Brent D Fulton; Mario R Dal Poz; Shekhar Saxena Journal: Bull World Health Organ Date: 2010-11-22 Impact factor: 9.408
Authors: Mary Sano; Susan Egelko; Steven Ferris; Jeffrey Kaye; Tamara L Hayes; James C Mundt; Michael Donohue; Sarah Walter; Shelly Sun; Luis Sauceda-Cerda Journal: Alzheimer Dis Assoc Disord Date: 2010 Jul-Sep Impact factor: 2.703
Authors: Sandra Weintraub; David Salmon; Nathaniel Mercaldo; Steven Ferris; Neill R Graff-Radford; Helena Chui; Jeffrey Cummings; Charles DeCarli; Norman L Foster; Douglas Galasko; Elaine Peskind; Woodrow Dietrich; Duane L Beekly; Walter A Kukull; John C Morris Journal: Alzheimer Dis Assoc Disord Date: 2009 Apr-Jun Impact factor: 2.703
Authors: David F Tang-Wai; Eric E Smith; Marie-Andrée Bruneau; Amer M Burhan; Atri Chatterjee; Howard Chertkow; Samira Choudhury; Ehsan Dorri; Simon Ducharme; Corinne E Fischer; Sheena Ghodasara; Nathan Herrmann; Ging-Yuek Robin Hsiung; Sanjeev Kumar; Robert Laforce; Linda Lee; Fadi Massoud; Kenneth I Shulman; Michael Stiffel; Serge Gauthier; Zahinoor Ismail Journal: Alzheimers Dement (N Y) Date: 2020-11-11