OBJECTIVE: To combine the AD8, a brief informant interview, with performance measures to develop a brief screening tool to improve detection of cognitive impairment and dementia in general practice. DESIGN: The AD8 was administered to informants. Clinicians conducted independent patient evaluations and administered the Clinical Dementia Rating Scale and a 30-minute neuropsychological battery. Logistic regression was used to determine the best combination of brief tests to correctly classify patients as having no dementia, uncertain dementia, or dementia. The area under the receiver operator characteristic curve (AUC) evaluated the discriminative ability of the combined tests. PATIENTS/ SETTING: Patients (n = 255) were consecutive referrals to a dementia clinic. Patients had a mean +/- SD age of 73.3 +/- 11.3 years, with 13.7 +/- 3.0 (mean +/- SD) years of education. The sample was 56% women; 77% of patients were white. Main Outcome Measure Dementia classification. RESULTS: A model combining the AD8 interview (odds ratio, 1.91; 95% confidence interval, 1.6-2.3) and the Consortium to Establish a Registry for Alzheimer Disease 10-item Word List Recall (odds ratio, 1.43; 95% confidence interval, 1.2-1.7) predicted dementia with 91.5% correct classification (AUC = 0.968; 95% confidence interval, 0.93-0.99). A cutoff of 2 or greater on the AD8 and less than 5 items remembered on the Word List Recall was sensitive (94%) and specific (82%). For cognitive impairments not meeting dementia criteria, combining AD8 (odds ratio, 2.31; 95% confidence interval, 1.3-4.0) and Word List Recall (odds ratio, 1.42; 95% confidence interval, 1.1-1.8) was most predictive (AUC = 0.91; 95% confidence interval, 0.8-1.0). Using the same cutoffs as those used for dementia gave the best combination of sensitivity (85%) and specificity (84%). CONCLUSION: Combining the AD8 interview with the Word List Recall improves the ability to detect the presence of dementia. The AD8 can be administered to an informant and, when combined with Word List Recall, is a powerful yet brief method of detecting cognitive impairment.
OBJECTIVE: To combine the AD8, a brief informant interview, with performance measures to develop a brief screening tool to improve detection of cognitive impairment and dementia in general practice. DESIGN: The AD8 was administered to informants. Clinicians conducted independent patient evaluations and administered the Clinical Dementia Rating Scale and a 30-minute neuropsychological battery. Logistic regression was used to determine the best combination of brief tests to correctly classify patients as having no dementia, uncertain dementia, or dementia. The area under the receiver operator characteristic curve (AUC) evaluated the discriminative ability of the combined tests. PATIENTS/ SETTING:Patients (n = 255) were consecutive referrals to a dementia clinic. Patients had a mean +/- SD age of 73.3 +/- 11.3 years, with 13.7 +/- 3.0 (mean +/- SD) years of education. The sample was 56% women; 77% of patients were white. Main Outcome Measure Dementia classification. RESULTS: A model combining the AD8 interview (odds ratio, 1.91; 95% confidence interval, 1.6-2.3) and the Consortium to Establish a Registry for Alzheimer Disease 10-item Word List Recall (odds ratio, 1.43; 95% confidence interval, 1.2-1.7) predicted dementia with 91.5% correct classification (AUC = 0.968; 95% confidence interval, 0.93-0.99). A cutoff of 2 or greater on the AD8 and less than 5 items remembered on the Word List Recall was sensitive (94%) and specific (82%). For cognitive impairments not meeting dementia criteria, combining AD8 (odds ratio, 2.31; 95% confidence interval, 1.3-4.0) and Word List Recall (odds ratio, 1.42; 95% confidence interval, 1.1-1.8) was most predictive (AUC = 0.91; 95% confidence interval, 0.8-1.0). Using the same cutoffs as those used for dementia gave the best combination of sensitivity (85%) and specificity (84%). CONCLUSION: Combining the AD8 interview with the Word List Recall improves the ability to detect the presence of dementia. The AD8 can be administered to an informant and, when combined with Word List Recall, is a powerful yet brief method of detecting cognitive impairment.
Authors: Christopher R Carpenter; Elizabeth R Bassett; Grant M Fischer; Jonathan Shirshekan; James E Galvin; John C Morris Journal: Acad Emerg Med Date: 2011-04 Impact factor: 3.451
Authors: Ranjan Duara; David A Loewenstein; Maria T Greig-Custo; Ashok Raj; Warren Barker; Elizabeth Potter; Elizabeth Schofield; Brent Small; John Schinka; Yougui Wu; Huntington Potter Journal: Int J Geriatr Psychiatry Date: 2010-03 Impact factor: 3.485
Authors: Daniel S Brown; Ira H Bernstein; Shawn M McClintock; C Munro Cullum; Richard B Dewey; Mustafa Husain; Laura H Lacritz Journal: Int J Geriatr Psychiatry Date: 2015-07-14 Impact factor: 3.485
Authors: Mehrdad Razavi; Magdalena I Tolea; Jennifer Margrett; Peter Martin; Andrew Oakland; David W Tscholl; Sarah Ghods; Mazdak Mina; James E Galvin Journal: Alzheimer Dis Assoc Disord Date: 2014 Apr-Jun Impact factor: 2.703
Authors: Vanja C Douglas; John Neuhaus; Julene K Johnson; Caroline A Racine; Bruce L Miller; Scott Andrew Josephson Journal: Alzheimer Dis Assoc Disord Date: 2011 Jul-Sep Impact factor: 2.703
Authors: Sarah Tomaszewski Farias; Dan Mungas; Danielle J Harvey; Amanda Simmons; Bruce R Reed; Charles Decarli Journal: Alzheimers Dement Date: 2011-11 Impact factor: 21.566
Authors: Brendan J Guercio; Nancy J Donovan; Catherine E Munro; Sarah L Aghjayan; Sarah E Wigman; Joseph J Locascio; Rebecca E Amariglio; Dorene M Rentz; Keith A Johnson; Reisa A Sperling; Gad A Marshall Journal: J Alzheimers Dis Date: 2015 Impact factor: 4.472
Authors: Christopher R Carpenter; Bobby DesPain; Travis N Keeling; Mansi Shah; Morgan Rothenberger Journal: Ann Emerg Med Date: 2010-09-19 Impact factor: 5.721