(P2-080) DEMENTIA SCREEENING: IMPLICATIONS OF AGE, APOE GENOTYPE, PHARMACOECONOMIC FACTORS J. Wesson Ashford, M.D., Ph.D., Helena C.
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(P2-080) DEMENTIA SCREEENING: IMPLICATIONS OF AGE, APOE GENOTYPE, PHARMACOECONOMIC FACTORS J. Wesson Ashford, M.D., Ph.D., Helena C. Kraemer, Ph.D., Jared R. Tinklenberg, M.D., Ruth O’Hara, Ph.D., Joy L. Taylor, Ph.D., Jerome A. Yesavage, MD. Stanford / VA Alzheimer Center, VA Palo Alto Health Care System, & Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA. ABSTRACT Contact e-mail: [email protected] BACKGROUND In an era of increasing pressure to detect and manage prevalent disorders as early in their course as possible, screening has become an accepted norm for many conditions. If medical professionals and the public accept screening for hypertension, diabetes, breast cancer, and colon cancer, why is there no widespread demand to screen for dementia? Detection of dementia - the most disabling common condition of later life (Aguerro-Torres H et al., 2001) - is currently left to chance. Screening was defined in 1951 by the US Commission on Chronic Illness as, "the presumptive identification of unrecognized disease or defect by the application of tests, examinations or other procedures which can be applied rapidly. Screening tests sort out apparently well persons who probably have a disease from those who probably do not. A screening test is not intended to be diagnostic. Persons with positive or suspicious findings must be referred to their physicians for diagnosis and necessary treatment“ (Last, 2000). However, screening tests for dementia are generally not recommended by health care organizations. The purpose of this presentation is to determine what the costs and benefits are with respect to the justification for screening. 1 Specificity = TN/P’ 20 15 10 5 Predictive value of a: Positive test = PVP = TP/Q Negative test = PVN = TN/Q’ Statistical Significance (2X2 Chi Square Test) means only that there is some non-random association between disorder (D) and test (T), not that the test Is a worthwhile one 0 -10 -8 -6 -4 -2 0 2 4 6 8 27 90 26 25 80 11 10 9 60 8 animals 1 m AUC = 0.868 animals 30 s AUC = 0.828 MMSE AUC = 0.965 20 Date+3 Rec AUC = 0.875 10 BAS AUC = 0.983 50 40 97 30 6 0 10 20 30 40 50 60 0.1000 0.0100 0.0010 - plot of sensitivity versus specificity 1000 100 10 1 0.1 0.01 $W = Cost–Worthiness Calculation 0.0001 60 70 $250,000 $225,000 $200,000 $175,000 $150,000 $125,000 $100,000 $75,000 $50,000 $25,000 $0 90 100 $C (estimate of cost) Estimated Age-related Cost of Alzheimer Screening Benefit: $10,000 - 0 Benefit: $25,000 - 0 Benefit: $100,000 - 0 Benefit: cure = $240,000 55 60 65 70 75 80 85 90 1000 900 800 700 600 500 400 300 200 100 0 50 95 60 70 80 90 100 AGE Cost Worthiness Calculations (above “0” is cost-worthy or feasible test price) Cost-Worthy Test Evaluation Sensitivity = 0.9, Specificity = 0.9 Cost-Worthy Test Evaluation Sensitivity = 0.9, Specificity = 0.9 $1,000 $900 $800 $700 $600 $500 $400 $300 $200 $100 $0 -$100 Benefit: $5,000 - 0 50 55 60 65 70 75 80 85 90 95 $100 $90 $80 $70 $60 $50 $40 $30 $20 $10 $0 -$10 -$20 Benefit: $5,000 - 0 50 55 60 65 70 75 80 85 90 95 Benefit: $10,000 - 0 AGE 1000 900 800 700 600 500 400 300 200 100 0 -100 Benefit: $100,000 - 0 Benefit: cure = $240,000 Alzheimer’s disease is not a dichotomous diagnosis but a continuum (Ashford & Schmitt, 2001) - Diagnosis would be better described with a probabilistic statement (AUC vs disease point) - Item Response Theory would better calculate probability (Modern Test Theory) - Item Response Theory and Factor Analysis allow combination of test components 100 90 80 70 60 50 40 30 20 10 0 Aguero-Torres H, von Strauss E, Viitanen M, Winblad B, Fratiglioni L. Institutionalization in the elderly: the role of chronic diseases and dementia. Cross-sectional and longitudinal data from a population-based study. Clin Epidemiol. 2001 Aug;54(8):795-801. Ashford JW. APOE genotype effects on Alzheimer's disease onset and epidemiology. Journal of Molecular Neuroscience 23:155-163, 2004. Ashford, JW, Borson S, O’Hara R, Dash P, Frank, Robert P, Shankle WR, Tierney MC, Brodaty H, Schmitt FA, Kraemer HC, Buschke H. Should older adults be screened for dementia? Alzheimer’s & Dementia. 2:76– 85,2006 Cost-Worthy Test Evaluation Se=0.9; Sp=0.9 Benefit = $50,000 - 0; False Pos = $500 Ashford JW, Schmitt FA. Modeling the time-course of Alzheimer dementia. Cur Psychiatry Rep. 2001 Feb;3(1):20-8. Ashford JW, Shan M, Butler S, Rajasekar A, Schmitt FA. Temporal quantification of Alzheimer's disease severity: 'time index' model. Dementia. 1995 Sep-Oct;6(5):269-80 Kraemer HC. Evaluating Medical Tests. Sage Publications, Inc., Newbury Park, California, 1992. mean ApoE 4/4 ApoE 3/4 ApoE 3/3 50 AGE Benefit: $100,000 - 0 AGE Benefit: cure = $240,000 mean ApoE 4/4 ApoE 3/4 ApoE 3/3 50 55 60 65 70 75 80 85 90 95 Benefit: $10,000 - 0 Benefit: $25,000 - 0 Cost-Worthy Test Evaluation Se=0.9; Sp=0.9 Benefit = $50,000 - 0; False Pos = $500 The cost-worthiness must be assessed: - Apply the test cost and the costs of false positive and false negative results - Apply the benefits of correct positive (deduct treatment costs) and negative results - Consider with respect to the annual incidence of the disease REFERENCES Benefit: $25,000 - 0 $500 for further evaluation (time, stress of suspecting dementia) (Kraemer, 1992) 100 AGE COST $C = cost of a false positive diagnosis $W > ($B x I x Se) – ($C x (1-I) x (1-Sp)) - $T 90 Benefit: $5,000 - 0 50 True negative = real peace of mind (priceless) False negative = false peace of mind (no price) I = incidence (new occurrences each year, by age) Se = sensitivity of test = True positive / I Sp = specificity of test = True negative / (1-I) = (1-False positive/(1- I) $T = cost of test, time to take (Subject, Tester) 80 Estimated Age-related Benefit of Early Alzheimer Treatment (linear drop 50-100y/o) Benefit for a cure = $240,000, independent of age Earlier diagnosis may mean proportionally greater savings Save up to $50,000 (e.g., nursing home cost for 1 year) (after treatment cost deduction at age 50, none at age 100) (cost-savings may vary according to locale) May calculate savings with respect to usual diagnostic practice Many additional tangible and intangible benefits 70 80 Age $B (estimate of benefit) BENEFIT $B = benefit of a true positive diagnosis Estimate: (100 years – age ) x $1000 60 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 0.001 (For estimates, see Ashford, 2004; Raber et al., 2004) Factors for Deciding whether a Screening Test is Cost-Effective Benefit of a true positive screen (major issue) Benefit of a true negative screen (minimal) Cost of a false positive screen (may need for many) Cost of a false negative screen (minimal) Incidence of the disease (in population) Test sensitivity (in population) Test specificity (in population) Test cost (range from free to $2000 for PET scan) 40 Age 50 100 mean rate APOE 4/4 APOE 3/4 APOE 3/3 presenilin 0.0001 30 90 Alzheimer Incidence by APOE genotype 50 20 80 Dementia rate, for Td = 5 yrs Males, 2t = 8.2yrs Females, 2t = 7.5 yrs Alzheimer incidence 10 70 False Positive Rate (%) (1-Specificity) U.S. mortality rate by age 1999 CDC / 2000 census 0 13 12 ROC analysis provides independent values of test performance (shape, AUC = area under curve) - 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!!! 0 10 U.S. Mortality, Alzheimer Incidence (I) 1.0000 14 70 Estimated years into illness (Random: Sensitivity + Specificity = 1) ROC (Receiver Operator Curve) Analysis True Positive Rate (%) (Sensitivity) Sensitivity = TP/P Q’=1-Q 25 P’ = 1 - P 20 100 Number of people/yr Q=level 30 P = prevalence MMSE score TN (Normal vs Mild AD, MMS>19) Price of a false positive diagnosis - further evaluation Commercial Relationship: J.W. Ashford, None; H.C. Kraemer, None; J.R. Tinklenberg, None; R. O'Hara, None; J.L. Taylor, None; J.A. Yesavage, None. FP BRIEF ALZHEIMER SCREEN Cost Justified for Dementia Screen Conclusions: Conservative estimations and statistical calculations suggest that currently available dementia screening tests are cost-worthy for annual use, depending on the age and genotype of the individual to be screened. Note that the biggest factors determining cost-worthiness are incidence and benefit of identifying the disease. The exact sensitivity and specificity of the test used is not critical. FN ROC Curve (Mendiondo et al., 2003) Cost Justified for Dementia Screen Results: The benefit of a test with a Se and Sp of 0.8 would become positive for annual administration beginning at 70 y/o if the test were free and at 75 y/o if the test cost $40 per administration, for a benefit decreasing from $50,000 to 0 from age 50 to age 100. A test with Se and Sp of 0.9 would be worth giving annually beginning at 65 y/o if it cost only $10 to administer. Values were calculated for APOE genotype (using an estimate of age-specific incidence by genotype), with a test having Se and Sp = 0.9. For an e4/4 individual a test would be worth $30 for annual screening beginning at 50 y/o, for an e3/4, beginning at 63 y/o and for an e3/3, beginning at 74 y/o. TP SUMMARY / IMPLICATIONS Estimate MMSE as a function of time Dollar Benefit from Early Diagnosis and Treatment $W = ($B x I x Se) - ($C x (1-I) x (1-Sp)) - $T Diagnosis- Test- Yearly Hazard Methods: To determine “cost-worthiness” ($W), estimates are needed for the test to be evaluated, including: sensitivity (Se), specificity (Sp), cost of administration ($T), and level of disease being used for identification. Additional information required includes: incidence ( I ), benefit of a true-positive screen ($B – for example: estimated to decrease from $50,000 at age 50 to $0 at age 100), and cost of a false-positive screen ($C - estimated at $500 for a secondary test to rule out dementia). Incidence of dementia and Alzheimer’s disease are known to be a function of age and APOE genotype. The following equation was examined: Diagnosis+ Test+ Alzheimer Continuum (Ashford et al., 1995) Cost Justified for Dementia Screen Objective(s): The purpose of this presentation is to demonstrate mathematically the factors required to judge the value - “cost-worthiness” - of a screening test. THE BASIC 2X2 OF EVALUATION Cost Justified for Dementia Screen Background: Though dementia is one of the most common problems affecting the elderly, no standard has been developed to screen for signs or symptoms of dementia. Those whose dementia has not been identified are missing the benefit of current therapies. Consequently, there is a growing awareness of the public-health need to screen for this common problem (see Ashford et al., 2006). RESULTS METHODS 55 60 65 70 75 Last JM. Editor, A Dictionary of Epidemiology, International Epidemiological Association 1st Edn, 1983, 2nd Edn, 1987, 3rd Edn, 1995, 4th Edn, 2000. Mendiondo MS, Ashford JW, Kryscio RJ, Schmitt FA. Designing a brief Alzheimer screen (BAS). J Alzheimers Dis. 2003 Dec 5:391-398. Raber J, Huang, Y, Ashford JW. ApoE genotype accounts for the vast majority of AD risk and AD neuropathology. Neurobiology of Aging 25(5):641-50 2004. 80 AGE Poster presented at the International Conference on Alzheimer’s disease, Madrid, July 17, 2006. Corresponding author: J. Wesson Ashford, M.D., Ph.D., Stanford / VA Alzheimer Center, VA Health Care System (151Y-PAD), 3801 Miranda Ave., Palo Alto, CA 94304, USA; Tel.: (650) 852-3287; Fax: (650) 8523297: email: [email protected]