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Medical. Early diagnosis and appropriate intervention may lessen disease burden and early ... cost of administering the test. Need to have prospective measurement ...
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Slide 1:Statistical Issues for DevelopingAlzheimer Screening Tests
J. Wesson Ashford, M.D., Ph.D. Stanford / VA Alzheimers Center VAMC, Palo Alto, California & Helena C. Kraemer, Ph.D. Department of Psychiatry and Behavioral Sciences Stanford University, Palo Alto, California June 19, 2005 Washington, D.C. Slides at: www.medafile.com (Dr. Ashfords lectures)
Slide 2:Screening for Alzheimers DiseaseWhat does it mean?
Annual assessments (or bi- or semi-) Positive screen recommends more tests Contrast with current lack of system 50% not diagnosed until moderate AD Screening will progressively improve Change over time can be detected
Slide 3:AD Can Be Readily Diagnosed
A diagnosis of Alzheimers disease can be made with a high degree of certainty Using NINCDS-ADRDA criteria, accuracy in autopsy-verified cases is approximately 90% Diagnosis is a 2-step process: Detection through screening (test vs. family concern) Confirmation through patient history and physical, caregiver interview, brain imaging, and appropriate laboratory studies McKhann G et al. Neurology. 1984;34:939-944. Kazee AM et al. Alzheimer Dis Assoc Disord. 1993;7:152-164. Ashford JW et al, Psychiaric Annals, 1996;26:262-268. It is possible to make a diagnosis of AD with as high a degree of certainty as with other neurological and psychiatric disorders It is possible to make a diagnosis of AD with as high a degree of certainty as with other neurological and psychiatric disorders
Slide 4:AD is Under-diagnosed
Early Alzheimers disease is subtle, the diagnosis continues to be missed it is easy for family members to avoid the problem and compensate for the patient physicians tend to miss the initial signs and symptoms Less than half of AD patients are diagnosed Estimates are that 25% to 50% of cases remain undiagnosed Diagnoses are missed at all levels of severity: mild, moderate, severe No definitive laboratory test for diagnosing AD exists Efforts to develop biomarkers, early recognition by brain scan have not provided a screening methodology Evans DA. Milbank Quarterly. 1990; 68:267-289
Slide 5:Reasons to Diagnose Alzheimers Disease Early Social
Undiagnosed AD patients face avoidable problems social, financial Early education of caregivers how to handle patient (choices, getting started) Advance planning while patient is competent will, proxy, power of attorney, advance directives Reduce family stress and misunderstanding caregiver burden, blame, denial Promote safety driving, compliance, cooking, etc. Patients and Familys right to know especially about genetic risks Promote advocacy for research and treatment development
Slide 6:Reasons to Diagnose Alzheimers Disease Early Medical
Early diagnosis and appropriate intervention may lessen disease burden and early treatment may improve overall course substantially Neurophysiological pathways in patients with AD are still viable and are a target for treatment Specific treatments now available (anti-cholinesterases, memantine) Improve cognition Improve function (ADLs) Delay conversion to AD from Mild Cognitive Impairment Slow underlying disease process, the sooner the better Decreased development of behavior problems Delay nursing home placement, possibly over 20 months Delay nursing home placement longer if started earlier
Slide 7:UNDERLYING CONTINUUM OF ALZHEIMER SEVERITY- progressive disruption of neuroplasticity - (Ashford & Jarvik, 1985; Ashford et al., 1995; Ashford, 2004)?? unidimensional, but how to measure ??
CROSS-SECTIONAL MEASURES DEMENTIA SEVERITY (cognitive, ADL) COGNITIVE SCALE SCORE Z-SCORE PRINCIPAL COMPONENT ANALYSIS BRAIN ATROPHY, DYSFUNCTION AUTOPSY MEASURES: plaques, tangles TIME TO DEATH LONGITUDINAL MEASUREMENT TIME INTO THE DISEASE PROCESS Considerable heterogeneity in disease clinical presentation and brain distribution
AAMI / MCI/ early AD -- + -- DEMENTIA ALZHEIMERS DISEASE CONTINUUM Ashford et al., 1995; Ashford & Schmitt, 2001 derived from CERAD datasetSlide 9:Alzheimers Disease Categories
NORMAL MILD COGNITIVE IMPAIRMENT (MCI) CRITERIA Memory complaint, preferably corroborated by an informant Objective memory impairment Normal general cognitive function Intact activities of daily living Not demented American Academy of Neurology Petersen et al., 2001 Neurology 56:1133 Earlier descriptions by: Jonker, Hooyer, 1990 Flicker, Ferris, Reisberg, 1991 Zaudig, 1992 DEMENTIA OF ALZHEIMER TYPE (DSM-IV - APA) Kraemer et al., 2004
Yesavavage et al., 2002 Markov Chain model ALZHEIMERS DISEASE CATEGORIZATIONSlide 11:Current Approaches to Early Assessment
Genetic vulnerability testing (trait not diagnosis) Vulnerability factors education, occupation, head injury (not diagnosis) Early concern Alzheimer Associations 10 warning signs, ADL dysfunction Dementia severity assessment tools (lack early power) Positive diagnostic tests (too invasive for screening) CSF tau levels elevated, amyloid levels low Brain scan PET NFTs: DDNP Amyloid: Thioflavin-S, Congo-red derivatives Need new screening tools (6th vital sign in elderly)
Slide 12:Available Short TestsUsed for Screening
MMSE 10 -- 15 min Too long 7-Minute Screen 7 10 min Too complex Clock Drawing Test 2 4 min Not sensitive Mini-cog 3 5 min To be considered Memory Impairment Screen 4 min To be considered Need to know the cost of administering the test Need to have prospective measurement of sensitivity and specificity for the target population Need to develop progressively better tests
Control: What happens without screening? Total Population Risk=P P Have AD No effective intervention Do not have AD P Helena Kraemer, 2003 Testing: What happens with testing? Total Population No AD AD Unnecessary intervention OK No effective intervention Effective intervention $ Testing $Testing $ Testing $ Testing $ Intervention $ Intervention Iatragenic Damage? Clinical Wash Clinical Wash Clinical Gain Major(?) Loss Minor (?) Loss Minor(?) Loss Major(?) Gain Some gain P P Se Se Sp Sp Helena Kraemer, 2003Slide 15:$W = CostWorthiness Calculation
I = incidence (new occurrences each year, by age) $T = cost of test, time to take (Subject, Tester) Se = sensitivity of test = True positive / I Sp = specificity of test = True negative / (1-I) Cost: $B = benefit of a true positive diagnosis Estimate: (100 years age ) x $1000 Save $50,000 NH cost / 1year (after treatment cost deduction) $C = cost of a false positive diagnosis $500 for further evaluation (time, stress of suspecting dementia) True negative (real peace of mind) (no price) False negative = false peace of mind (no price) $W = ($B x I x Se) ($C x (1-I) x (1-Sp)) - $T Kraemer, Evaluating Medical Tests, Sage, 1992
JW Ashford, MD PhD, 2003 Se, Sp Se, Sp Sp, Se See: Raber et al., 2004 (CERAD dataset) JW Ashford, MD PhD, 2003 Mendiondo et al., 2003Slide 25:Issues in Screening
ROC analysis provides independent values of test performance how the screening test values affect the normal and patient populations plots of their relationship with respect to each other (specificity vs sensitivity) data must be derived from the represented population!!! The value of the test must be calculated with respect to the risk of the disease In the specific population to which it is being applied Risk is affected by age, genotype, many other factors Accounting for a priori probability is Bayesian analysis The cost-benefit must be assessed: Apply the test cost and the costs of false positive and false negative results Apply the benefits of correct positive and negative results Alzheimers disease is not a dichotomous diagnosis but a continuum Diagnosis would be better described with a probabilistic statement Item Response Theory would better calculate probability (Modern Test Theory) Item Response Theory and Factor Analysis allow combination of test components Kraemer, 1992; Ashford & Schmitt, 2001
Mini-Mental State Exam items MMSE items Based on Ashford et al., 1989; 1995; applied to CERAD data setSlide 26:Neuropsychological Testing (WAIS, WECHSLER) Memory: Short-term, Remote Verbal Function, Fluency Visuo-Spatial Function Attention Executive Function Abstract Thinking Account for Education Account for Prior Dysfunctions Neuropsychological Testing (WAIS, WECHSLER) Memory: Short-term, Remote Verbal Function, Fluency Visuo-Spatial Function Attention Executive Function Abstract Thinking Account for Education Account for Prior Dysfunctions
See: Hambleton et al., 1990; Ashford & Schmitt, 2001) MMSE Item-Response AnalysisSlide 29:Summary Requirements for Screening Test Evaluation
Sensitivity, specificity for the population to which test is to be applied values change with level of disease being screened (must be prospective) Portion of population at risk Risks according to age, gender, genotype, family hx, education, etc. Cost of test -$1, $10, $100, $1000 Need brief screen to replace MMSE (ASAP) - $10 Medicare allowance Costs of false positive, false negative tests Benefits of true positive, true negative Longevity is increasing over time, needs to be factored in. Cascaded tests preliminary screen, confirmatory exam Longitudinal tests may provide much more reliable information Different tests for clinic (cascaded), research (outcomes) Clinic: brief screen, brain scan; Research: CSF - is disease stopped? Benefit to society relative to other societal needs.
Slide 30:Dementia Screening Test Requirements for the Future
For Alzheimers disease (other tests for non-AD) Validated against more stringent tests brain scans, CSF measures Specificities and sensitivities valid for comparison with other tests Item Response Theory analysis of discriminatory power on disability continuum Multiple platforms: Doctors offices Best if computerized for rapid, objective assessment World-Wide Web based testing, CD-distribution KIOSK administration drug stores, shopping malls Very brief (about 1-minute) Multiple test forms so it can be repeated often, e.g., every 3 months Cost-effective yearly after age 50 repeatable every 3 months over 65 years of age or with concerns Sensitive to change over time Nominal cost