Neuroscience
The SIST-M: Predictive Validity of a Brief Structured Clinical Dementia Rating Interview
Alzheimer Disease and Associated Disorders. 2011 Oct 6;
Okereke OI, Pantoja-Galicia N, Copeland M, Hyman BT, Wanggaard T, Albert MS, Betensky RA, Blacker D
Abstract
BACKGROUND:: We have previously established the reliability and cross-sectional validity of the SIST-M (Structured Interview and Scoring Tool-Massachusetts Alzheimer's Disease Research Center), a shortened version of an instrument shown to predict progression to Alzheimer disease (AD), even among persons with very mild cognitive impairment (vMCI). OBJECTIVE:: To test the predictive validity of the SIST-M. METHODS:: Participants were 342 community-dwelling, nondemented older adults in a longitudinal study. Baseline Clinical Dementia Rating (CDR) ratings were determined by either (1) clinician interviews or (2) a previously developed computer algorithm based on 60 questions (of a possible 131) extracted from clinician interviews. We developed age+sex+education-adjusted Cox proportional hazards models using CDR-sum-of-boxes (CDR-SB) as the predictor, where CDR-SB was determined by either a clinician interview or an algorithm; models were run for the full sample (n=342) and among those jointly classified as vMCI using clinician-based and algorithm-based CDR ratings (n=156). We directly compared predictive accuracy using time-dependent receiver operating characteristic (ROC) curves. RESULTS:: AD hazard ratios (HRs) were similar for clinician-based and algorithm-based CDR-SB: for a 1-point increment in CDR-SB, the respective HRs [95% confidence interval (CI)] were 3.1 (2.5, 3.9) and 2.8 (2.2, 3.5); among those with vMCI, the respective HRs (95% CI) were 2.2 (1.6, 3.2) and 2.1 (1.5, 3.0). Similarly high predictive accuracy was achieved: the concordance probability (weighted average of the area-under-the-ROC curves) over follow-up was 0.78 versus 0.76 using clinician-based versus algorithm-based CDR-SB. CONCLUSION:: CDR scores based on items from this shortened interview had high predictive ability for AD-comparable to that using a lengthy clinical interview.
PMID: 21986342 [PubMed - as supplied by publisher]
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Neuroscience
Neuropsychology Abstract of the Day: Assessment in Alzheimer's Disease
The SIST-M: Predictive Validity of a Brief Structured Clinical Dementia Rating Interview
Alzheimer Disease and Associated Disorders. 2011 Oct 6;
Okereke OI, Pantoja-Galicia N, Copeland M, Hyman BT, Wanggaard T, Albert MS, Betensky RA, Blacker D
Abstract
BACKGROUND:: We have previously established the reliability and cross-sectional validity of the SIST-M (Structured Interview and Scoring Tool-Massachusetts Alzheimer's Disease Research Center), a shortened version of an instrument shown to predict progression to Alzheimer disease (AD), even among persons with very mild cognitive impairment (vMCI). OBJECTIVE:: To test the predictive validity of the SIST-M. METHODS:: Participants were 342 community-dwelling, nondemented older adults in a longitudinal study. Baseline Clinical Dementia Rating (CDR) ratings were determined by either (1) clinician interviews or (2) a previously developed computer algorithm based on 60 questions (of a possible 131) extracted from clinician interviews. We developed age+sex+education-adjusted Cox proportional hazards models using CDR-sum-of-boxes (CDR-SB) as the predictor, where CDR-SB was determined by either a clinician interview or an algorithm; models were run for the full sample (n=342) and among those jointly classified as vMCI using clinician-based and algorithm-based CDR ratings (n=156). We directly compared predictive accuracy using time-dependent receiver operating characteristic (ROC) curves. RESULTS:: AD hazard ratios (HRs) were similar for clinician-based and algorithm-based CDR-SB: for a 1-point increment in CDR-SB, the respective HRs [95% confidence interval (CI)] were 3.1 (2.5, 3.9) and 2.8 (2.2, 3.5); among those with vMCI, the respective HRs (95% CI) were 2.2 (1.6, 3.2) and 2.1 (1.5, 3.0). Similarly high predictive accuracy was achieved: the concordance probability (weighted average of the area-under-the-ROC curves) over follow-up was 0.78 versus 0.76 using clinician-based versus algorithm-based CDR-SB. CONCLUSION:: CDR scores based on items from this shortened interview had high predictive ability for AD-comparable to that using a lengthy clinical interview.
PMID: 21986342 [PubMed - as supplied by publisher]
- Neuropsychology Abstract Of The Day: Neuropsychological Assessment
A pilot evaluation of a brief non-verbal executive function assessment in Parkinson's disease. International Journal of Geriatric Psychiatry. 2013 Jul 4; Hobson PJ, Meara RJ, & Evans RAbstractOBJECTIVE: Screening for cognitive impairment in the clinical...
- Neuropsychology Abstract Of The Day: Alzheimer's Disease Progression
Measuring Alzheimer disease progression with transition probabilities: Estimates from NACC-UDS Curr Alzheimer Res. 2011 Nov 28; Spackman DE, Kadiyala S, Neumann PJ, Veenstra DL, Sullivan SD Abstract Objectives: Estimate the probabilities, for Alzheimer's...
- Neuropsychology Abstract Of The Day: Mci
Predictive value of APOE-ε4 allele for progression from MCI to AD-type dementia: A meta-analysis Journal of Neurology Neurosurgery and Psychiatry. 2011 Oct; 82(10): 1149-1156. Elias-Sonnenschein LS, Viechtbauer W, Ramakers IH, Verhey FR, Visser PJ Abstract...
- Abstract Of The Day: Alzheimer Disease
Pavlik VN, Doody RS, Massman PJ, & Chan W. (2006). Influence of premorbid IQ and education on progression of Alzheimer's Disease. Dementia, Geriatrics, & Cognitive Disorders,22(4), 367-377. [Epub ahead of print] Department of Family and Community...
- Abstract Of The Day: Structural Mri Markers
den Heijer T, Geerlings MI, Hoebeek FE, Hofman A, Koudstaal PJ, & Breteler MM. Use of hippocampal and amygdalar volumes on magnetic resonance imaging to predict dementia in cognitively intact elderly people. Archives of General Psychiatry. 2006 Jan;...