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Section 2 - Assessment and Investigations

Published online by Cambridge University Press:  12 September 2020

Julian C. Hughes
Affiliation:
University of Bristol
Philippa Lilford
Affiliation:
Severn Deanery, University of Bristol
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Publisher: Cambridge University Press
Print publication year: 2020

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References

References

Levy, MT. Psychiatric assessment of elderly patients in the home: a survey of 176 cases. J Am Geriatr Soc 1985; 33: 912.Google Scholar
Benbow, SM. The community clinic: its advantages and disadvantages. Int J Geriatr Psych 1990; 5: 119–21.Google Scholar
Anderson, DN, Aquilina, C. Domiciliary clinics I: effects of non-attendance. Int J Geriatr Psych 2002; 17: 941–4.Google Scholar
Scanameo, A, Fillit, H. A practical guide to seeing the patient at home. Geriatrics 1995; 50: 33–7.Google Scholar
Koenig, HG. The physician and home care of the elderly patient. Gerontology Geriatr Educ 1986; 7: 1524.Google Scholar
Arcand, M, Williamson, J. An evaluation of home visiting of patients by physicians in geriatric medicine. Brit Med J 1981; 283: 718–20.Google Scholar
Currie, CT, Moore, JT, Friedman, SW, Warshaw, GA. Assessment of elderly patients at home: a report of fifty cases. J Am Geriatr Soc 1981; 29: 398401.Google Scholar
Ramsdell, JW, Swart, JA, Jackson, JE, Renvall, M. The yield of a home visit in the assessment of geriatric patients. J Am Geriatr Soc 1989; 37: 1724.Google Scholar
Ramsdell, JW, Jackson, JE, Renvall Guy, HJB, Renvall, MJ. Comparison of clinic-based home assessment to a home visit in demented elderly patients. Alz Dis Assoc Dis 2004; 18: 145–53.CrossRefGoogle ScholarPubMed
Levine, SA, Barry, PP. Home care. In Geriatric Medicine: An Evidence-Based Approach (eds. Cassel, CK, Leipzig, RM, Cohen, HJ, Larson, EB, Meier, DE) 4th ed: 121131. Springer, 2002.Google Scholar
Simon, A. Some observations of a geropsychiatrist on the value of house calls. Gerontologist 1984; 24: 458–64.Google Scholar
Grauer, H, Kravitz, H, Davis, E, Rodriguez, C. Homebound aged: the dilemma of psychiatric intervention. Can J Psychiat 1991; 36: 497501.Google Scholar
Burton, JR. The house call: an important service for the frail elderly. J Am Geriatr Soc 1985; 33: 291–3.CrossRefGoogle ScholarPubMed
Richardson, B, Orrell, M. Home assessments in old age psychiatry. Adv Psychiatr Treat 2002; 8: 5965.Google Scholar
Orrell, M, Katona, C. Do consultant home visits have a future in old age psychiatry? Int J Geriatr Psych 1998; 13: 355–7.3.0.CO;2-T>CrossRefGoogle ScholarPubMed
Draper, B. The effectiveness of old age psychiatry services. Int J Geriatr Psych 2000; 15: 687703.Google Scholar
Zebley, JW. Geriatric follow-up: what only a home visit can tell you. Geriatrics 1986; 41: 100104.Google Scholar
Byrne, G, Neville, C. Community Mental Health for Older People. Churchill Livingstone, 2010.Google Scholar
Fottrell, E. A personal view of psychogeriatric domiciliary visits. Geriatrics 1989; 2: 22–5.Google Scholar
Unwin, BK, Jerant, AF. The home visit. Am Fam Physician 1999; 60: 1481–8.Google ScholarPubMed
Lord, SR, Sherrington, C, Menz, HB, Close, JCT. Falls in Older People, 2nd ed. Cambridge University Press, 2007.CrossRefGoogle Scholar
Lowery, K, Buri, H, Ballard, C. What is the prevalence of environmental hazards in the homes of dementia sufferers and are they associated with falls. Int J Geriatr Psych 2000; 15: 883–6.3.0.CO;2-9>CrossRefGoogle ScholarPubMed

References

UK Guideline Development Group. Driving with Dementia or Mild Cognitive Impairment: Consensus Guidelines for Clinicians, Newcastle University, 2018. Last accessed on 12 September 2019 via: https://research.ncl.ac.uk/driving-and-dementia/consensusguidelinesforclinicians/Final%20Guideline.pdfGoogle Scholar
Holland, C. Self-bias in older drivers’ judgments of accident likelihood. Accid Anal Prev 1993; 25: 431441.Google Scholar
Johnson, J. Older rural adults and the decision to stop driving: the influence of family and friends. J Community Health Nurs 1998; 15: 205216.Google Scholar
Adler, G, Rottunda, S, Bauer, M, et al. Driving cessation and Alzheimer’s Dementia: issues confronting patients and family. Am J Alzheimers Dis Other Demen 2000; 15: 212216.Google Scholar
Brown, L, Ott, B, Papandonatos, D, et al. Prediction of on-road driving performance in patients with early Alzheimer’s disease. J Am Geriatr Soc 2005; 53: 9498.Google Scholar
Croston, J, Meuser, T, Berg-Weger, M, et al. Driving retirement in older adults with dementia. Top Geriatr Rehabil 2009; 25: 154162.Google Scholar
Trobe, J, Waller, P, Cook-Flannagan, C, et al. Crashes and violations among drivers with Alzheimer disease. Arch Neurol 1996; 53: 411416.Google Scholar
Carr, D, Duchek, J, Morris, J. Characteristics of motor vehicle crashes of drivers with dementia of the Alzheimer type. J Am Geriatr Soc 2000; 48: 1822.Google Scholar
British Psychological Society (BPS). Fitness to Drive and Cognition: A Document of the Multi-Disciplinary Working Party on Acquired Neuropsychological Deficits and Fitness to Drive 1999. BPS, 2001. Last accessed on 12th September 2019 via: www.assessmentpsychology.com/fitness_to_drive.pdfGoogle Scholar
Wood, J, Worringham, C, Kerr, G, et al. Quantitative assessment of driving performance in Parkinson’s disease. J Neurol Neurosurg Psychiatry 2005; 76: 176180.Google Scholar
Dubinsky, R, Stein, A, Lyons, K. Practice parameter: risk of driving and Alzheimer’s disease (an evidence-based review): report of the quality standards subcommittee of the American Academy of Neurology. Neurology 2000; 54: 22052211.Google Scholar
Hopkins, R, Kilik, L, Day, D, et al. Driving and dementia in Ontario: a quantitative assessment of the problem. Can J Psychiatry 2004; 49: 434438.Google Scholar
Breen, D, Breen, D, Moore, J, et al. Driving and dementia. Brit Med J 2007; 334: 13651369.CrossRefGoogle ScholarPubMed
Gilley, D, Wilson, R, Bennett, D, et al. Cessation of driving and unsafe motor vehicle operation by dementia patients. Arch Intern Med 1991; 151: 941946.Google Scholar
Langford, J, Methorst, R, Hakamies-Blomqvist, L. Older drivers do not have a high crash risk – a replication of low mileage bias. Accid Anal Prev 2006; 38: 574578.Google Scholar
Man-Son-Hing, M, Marshall, S, Molnar, F, Wilson, K. Systematic review of driving risk and the efficacy of compensatory strategies in persons with dementia. J Am Geriatr Soc 2007; 55: 878884.Google Scholar
Marottoli, R, Mendes de Leon, C, Glass, T, et al. Consequences of driving cessation: decreased out-of-home activity levels. J Gerontol B Psychol Sci Soc Sci 2000; 55B: S334S340.Google Scholar
Foley, D, Heimovitz, H, Guralnik, J, Brock, D. Driving life expectancy of persons aged 70 years and older in the United States. Am J Public Health 2002; 92: 12841289.Google Scholar
Marottoli, R, Mendes de Leon, C, Glass, T, et al. Driving cessation and increased depressive symptoms: prospective evidence from the New Haven EPESE. J Am Geriatr Soc 1997; 45: 202206.Google Scholar
Rosser, M. Dementia and driving: European National Guidelines. Eur J Neurol 2000; 7: 745.Google Scholar
Driver and Vehicle Licensing Agency. Assessing Fitness to Drive: A Guide for Medical Professionals. DVLA, 2019.Google Scholar
Naidu, A, McKeith, I. Driving, dementia and the Driver and Vehicle Licensing Agency: a survey of old age psychiatrists. Psychiatr Bull 2006; 30: 265268.Google Scholar
General Medical Council (GMC). Confidentiality: Patients’ Fitness to Drive and Reporting Concerns to the DVLA or DVA. GMC, 2019.Google Scholar
Molnar, F, Patel, A, Marshall, S, et al. Clinical utility of office-based cognitive predictors of fitness to drive in persons with dementia: a systematic review. J Am Geriatr Soc 2006; 54: 18091824.Google Scholar
Wiseman, E, Souder, E. The older driver: a handy tool to assess competence behind the wheel. Geriatrics 1996; 51: 3645.Google Scholar
Man-Son-Hing, M, Marshall, S, Molnar, F, et al. A Canadian research strategy for older drivers: the CanDRIVE Program. Geriatrics Today: J Can Geriatr Soc 2004; 7: 8692.Google Scholar
Champlain Dementia Network, Regional Geriatric Program of Eastern Ontario. The Driving and Dementia Toolkit for Health Professionals (3rd Edn), 2009. Last accessed on 12 September 2019 via: www.rgpeo.com/media/30695/dementia%20toolkit.pdfGoogle Scholar
Molnar, F, Byszewski, A, Marshall, S, Man-Son-Hing, M. In-office evaluation of medical fitness to drive: practical approaches for assessing older people. Can Fam Physician 2005; 51: 372379.Google Scholar
Lincoln, N, Radford, K, Lee, E, Reay, A. The assessment of fitness to drive in people with dementia. Int J Geriatr Psychiatry 2006; 21: 10441051.Google Scholar
McKenna, P, Jefferies, L, Dobson, A, Frude, N. The use of a cognitive battery to predict who will fail an on-road driving test. Brit J Clin Psychol 2004; 43: 325336.Google Scholar
McKenna, P. Fitness to drive: a neuropsychological perspective. J Ment Health 1998; 7: 918.Google Scholar

References

Department of Health. Living Well with Dementia: A National Dementia Strategy. DoH, 2009.Google Scholar
Lang, L, Clifford, A, Wei, L, et al. Prevalence and determinants of undetected dementia in the community: a systematic literature review and a meta-analysis. BMJ Open 2017; 7: e011146.CrossRefGoogle ScholarPubMed
Amjad, H, Roth, DL, Sheehan, OC, et al. Underdiagnosis of dementia: an observational study of patterns in diagnosis and awareness in US older adults. J Gen Intern Med 2018; 33: 1131–8.Google Scholar
Department of Health. General medical services – contractual changes 2013–2014 [Letter to chairman of BMA General Practitioners Committee]. DoH, 6th December 2012. www.wp.dh.gov.uk/publications/files/2012/12/GMS‐Contract‐letter.pdf (last accessed 30 November 2019).Google Scholar
Bayley, PJ, Kong, JY, Mendiondo, M, et al. Findings from the national memory screening day program. J Am Geriatr Soc 2015; 63: 309–14.CrossRefGoogle ScholarPubMed
Cordell, CB, Borson, S, Boustani, M, et al. Alzheimer’s Association recommendations for operationalizing the detection of cognitive impairment during the Medicare Annual Wellness Visit in a primary care setting. Alzheimer’s & Dementia 2013; 9: 141–50.Google Scholar
Mitchell, AJ, Meader, N, Pentzek . Clinical recognition of dementia and cognitive impairment in primary care: a meta-analysis of physician accuracy. Acta Psychiatr Scand 2011; 124: 165–83.Google Scholar
Iracleous, P, Nie, JX, Tracy, CS, et al. Primary care physicians’ attitudes towards cognitive screening: findings from a national postal survey. Int J Geriatr Psychiatry 2010; 25: 23–9.Google Scholar
Brodaty, H, Howarth, GC, Mant, A, Kurrle, SE. General practice and dementia. A national survey of Australian GPs. Med J Aust 1994; 160: 1014.Google Scholar
Tong, T, Thokala, P, McMillan, B, Ghosh, R, Brazier, J. Cost effectiveness of using cognitive screening tests for detecting dementia and mild cognitive impairment in primary care. Int J Geriatr Psychiatry 2017; 32: 13921400.Google Scholar
Mitchell, AJ, Shiri-Feshki, M. Rate of progression of mild cognitive impairment to dementia–meta-analysis of 41 robust inception cohort studies. Acta Psychiatr Scand 2009; 119: 252–65.Google Scholar
Folstein, MF, Folstein, SE, McHugh, PR.Mini-mental state’. A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res 1975; 12: 189–98.Google Scholar
Christa Maree Stephan, B, Minett, T, Pagett, E, et al. Diagnosing mild cognitive impairment (MCI) in clinical trials: a systematic review. BMJ Open 2013; 3(2). http://dx.doi.org/10.1136/bmjopen-2012-001909 (last Accessed 5 November 2019).Google Scholar
Toglia, J, Fitzgerald, KA, O’Dell, MW, Mastrogiovanni, AR, Lin, CD. The Mini-Mental State Examination and Montreal Cognitive Assessment in persons with mild subacute stroke: relationship to functional outcome. Arch Phys Med Rehabil 2011; 92: 792–8.Google Scholar
Molloy, DW, Alemayehu, E, Roberts, R. Reliability of a standardized mini-mental-state-examination compared with the traditional mini-mental-state-examination. Am J Psychiatry 1991; 148: 102–5.Google Scholar
Crum, RM, Anthony, JC, Bassett, SS, Folstein, MF. Population-based norms for the Mini-Mental State Examination by age and educational level. JAMA 1993; 269: 2386–91.Google Scholar
O’Connor, DW, Pollitt, PA, Hyde, JB, et al. The reliability and validity of the Mini-Mental State in a British community survey. J Psychiatr Res 1989; 23: 8796.Google Scholar
Lin, JS. O’Connor, E. Rossom, RC, et al. Screening for Cognitive Impairment in Older Adults: An Evidence Update for the U.S. Preventative Services Task Force. Evidence Synthesis Number 107. AHRQ Publication No. 14–05198-EF-1. Agency for Healthcare Research and Quality, 2013.Google Scholar
Mitchell, AJ. A meta-analysis of the accuracy of the mini-mental state examination in the detection of dementia and mild cognitive impairment. J Psychiatr Res 2009; 43: 411–31.Google Scholar
Mitchell, AJ. The Mini-Mental State Examination (MMSE): an update on its diagnostic validity for cognitive disorders. In Cognitive Screening Instruments: A Practical Approach (ed. Larner, AJ): 1546. Springer, 2013.Google Scholar
Tsoi, KK, Chan, JY, Hirai, HW, Wong, SY, Kwok, TC. Cognitive tests to detect dementia: a systematic review and meta-analysis. JAMA Intern Med 2015; 175: 1450–8.Google Scholar
Creavin, ST, Wisniewski, S, Noel-Storr, AH, et al. Mini-Mental State Examination (MMSE) for the detection of dementia in clinically unevaluated people aged 65 and over in community and primary care populations. Cochrane Database Syst Rev 2016; 1: CD011145.Google Scholar
Mitchell, AJ, Meader, N, Pentzek, M. Clinical recognition of dementia and cognitive impairment in primary care: a meta-analysis of physician accuracy. Acta Psychiatr Scand 2011; 124: 165–83.CrossRefGoogle ScholarPubMed
Heinik, J, Solomesh, I, Bleich, A, et al. Are the clock-drawing test and the MMSE combined interchangeable with CAMCOG as a dementia evaluation instrument in a specialized outpatient setting? J Geriatr Psychiatry Neurol 2003; 16: 74–9.Google Scholar
Meulen, EFJ, Schmand, B, van Campen, JP, et al. The seven minute screen: a neurocognitive screening test highly sensitive to various types of dementia. J Neurol Neurosurg Psychiatry 2004; 75: 700–5.Google Scholar
Yoshida, H, Terada, S, Honda, H, et al. Validation of Addenbrooke’s cognitive examination for detecting early dementia in a Japanese population. Psychiatry Res 2011; 185: 211–4.Google Scholar
Kalbe, E, Kessler, J, Calabrese, P, et al. DemTect: a new, sensitive cognitive screening test to support the diagnosis of mild cognitive impairment and early dementia. Int J Geriatr Psychiatry 2004; 19: 136–43.Google Scholar
Grober, E, Hall, C, Lipton, RB, Teresi, JA. Primary care screen for early dementia. J Am Geriatr Soc 2008; 56: 206–13.Google Scholar
Mitchell, A.J. The Mini-Mental State Examination (MMSE): update on its diagnostic accuracy and clinical utility for cognitive disorders. In: Cognitive Screening Instruments (ed. Larner), AJ: 3748. Springer, 2017.Google Scholar
Breton, A, Casey, D, Arnaoutoglou, NA. Cognitive tests for the detection of mild cognitive impairment (MCI), the prodromal stage of dementia: meta-analysis of diagnostic accuracy studies. Int J Geriatr Psychiatry 2019; 34: 233–42.Google Scholar
Petersen, RC. Clinical practice. Mild cognitive impairment. N Engl J Med 2011; 364: 2227–34.Google Scholar
Arevalo-Rodriguez, I, Smailagic, N, Roqué, I. Mini-Mental State Examination (MMSE) for the detection of Alzheimer’s disease and other dementias in people with mild cognitive impairment (MCI). Cochrane Database Syst Rev 2015; 3: CD010783. DOI:10.1002/14651858.CD010783.pub2.Google Scholar
Whiting, PF, Rutjes, AW, Westwood, ME, et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155: 529–36.Google Scholar
Mitchell, AJ. Can the MMSE help clinicians predict progression from mild cognitive impairment to dementia? Commentary On… Cochrane Corner. BJPsych Adv 2015; 21: 363–66.Google Scholar
Diniz, BS, Yassuda, MS, Nunes, PV, Radanovic, M, Forlenza, OV. Mini-mental State Examination performance in mild cognitive impairment subtypes. Int Psychogeriatr 2007; 19: 647–56.Google Scholar
Schultz-Larsen, K, Kreiner, S, Lomholt, RK. Mini-Mental Status Examination: mixed Rasch model item analysis derived two different cognitive dimensions of the MMSE. J Clin Epidemiol 2007; 60: 268–79.Google Scholar
Bravo, G, Hébert, R. Age- and education-specific reference values for the Mini-Mental and Modified Mini-Mental State Examinations derived from a non-demented elderly population. Int J Geriatr Psychiatry 1997; 12: 1008–18.Google Scholar
Kahle-Wrobleski, K, Corrada, MM, Li, B, Kawas, CH. Sensitivity and specificity of the Mini-Mental State Examination for identifying dementia in the oldest-old: the 90+ Study. J Am Geriatr Soc 2007; 55: 284–9.Google Scholar
Meulen, EFJ, Schmand, B, van Campen, JP, et al. The seven minute screen: a neurocognitive screening test highly sensitive to various types of dementia. J Neurol Neurosurg Psychiatry 2004; 75: 700–5.Google Scholar
Estrada-Orozco, K. Diagnostic performance of minimental against DSM-5 in cognitive disorder. Experience of a cohort in Colombia. Rev Ecuat Neurol 2018; 27 n.3. http://revecuatneurol.com/wp-content/uploads/2019/04/2631-2581-rneuro-27-03-00025.pdf (last accessed 6 November 2019).Google Scholar
Boustani, M1, Callahan, CM, Unverzagt, FW, et al. Implementing a screening and diagnosis program for dementia in primary care. J Gen Intern Med 2005; 20: 572–7.Google Scholar
Van Hout, H, Teunisse, S, Derix, M, et al. CAMDEX, can it be more efficient? Observational study on the contribution of four screening measures to the diagnosis of dementia by a memory clinic team. Int J Geriatr Psychiatry 2001; 16: 64–9.3.0.CO;2-4>CrossRefGoogle Scholar
Fowler, NR, Morrow, L, Chiappetta, L, et al. Cognitive testing in older primary care patients: a cluster-randomized trial. Alzheimers Dement 2015; 1: 349–57.Google Scholar
Pittam, G, Allaby, M. Screening for Dementia: Can Screening Bring Benefits to Those with Unrecognised Dementia, Their Carers and Society? An Appraisal against UKNSC Criteria. A Report for the UK National Screening Committee. Solutions for Public Health (SPH), 2015.Google Scholar
Wang, BR, Zheng, HF, Xu, C. Comparative diagnostic accuracy of ACE-III and MoCA for detecting mild cognitive impairment. Neuropsychiatr Dis Treat 2019; 15: 2647–53.Google Scholar

References

Prince, M, Comas-Herrera, A, Knapp, M, Guerchet, M, Karagiannidou, M. World Alzheimer Report 2016: Improving Healthcare for People Living with Dementia. Coverage, Quality and Costs Now and in the Future. Alzheimer’s Disease International, 2016.Google Scholar
Jack, CR Jr, Knopman, DS, Jagust, WJ, et al. Hypothetical model of dynamic biomarkers of the Alzheimer’s pathological cascade. Lancet Neurol 2010; 9: 119–28.Google Scholar
Dubois, B, Feldman, HH, Jacova, C, et al. Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria. Lancet Neurol 2014; 13: 614–29.Google Scholar
Livingston, G, Sommerlad, A, Orgeta, V, et al. Dementia prevention, intervention, and care. Lancet 2017; 390: 2673–734.Google Scholar
Berti, V, Polio, C, Lombardi, G, Ferrari, C, Sorbi, S, Pupi, A. Rethinking on the concept of biomarkers in preclinical Alzheimer’s disease. Neurol Sci 2016; 37: 663–72.Google Scholar
Herskovits, Z, Growden, J. Sharpen that needle. Arch Neurol 2010; 67: 918–20.Google Scholar
De Meyer, G, Shapiro, F, Vanderstichele, H, et al. Diagnosis-independent Alzheimer disease biomarker signature in cognitively normal elderly people. Arch Neurol 2010; 67: 949–56.Google Scholar
Bennett, DA, Schneider, JA, Wilson, RS, et al. Neurofibrillary tangles mediate the association of amyloid load with clinic Alzheimer disease and level of cognitive function. Arch Neurol 2004; 61: 378–84.Google Scholar
Stern, Y. Cognitive reserve in ageing and Alzheimer’s disease. Lancet Neurol 2012; 11: 1006–12.Google Scholar
Sperling, RA, Aisen, PS, Beckett, LA, et al. Toward defining the preclinical stages of Alzheimer’s disease: recommendations from the National Institute on Aging–Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 2011; 7: 280–92.CrossRefGoogle ScholarPubMed
Nakamura, A, Kaneko, N, Villemagne, VL, et al. High performance plasma amyloid-β biomarkers for Alzheimer’s disease. Nature 2018; 554: 249–54.Google Scholar
Preische, O, Schultz, S, et al. Serum neurofilament dynamics predicts neurodegeneration and clinical progression in presymptomatic Alzheimer’s disease. Nat Med 2019; 25: 277282.Google Scholar
Nation, D, Sweeney, M, Montagne, A, et al. Blood-brain barrier breakdown is an early biomarker of human cognitive dysfunction. Nat Med 2019; 25: 270276.Google Scholar
Tapiola, T, Alafuzoff, I, Herukka, SK, et al. Cerebrospinal fluid β-amyloid 42 and tau proteins as biomarkers of Alzheimer-type pathologic changes in the brain. Arch Neurol 2009; 66: 382–89.Google Scholar
Bacskai, B, Frosch, J, Freeman, M, et al. Molecular imaging with Pittsburgh Compound B confirmed at autopsy: a case report. Arch Neurol 2007; 64: 431–4.Google Scholar
Fagan, A, Mintum, M, Mach, R, et al. Inverse relation between in vivo amyloid imaging load and cerebrospinal fluid Aβ42 in humans. Ann Neurol 2006; 59: 512–9.Google Scholar
Morris, JC, Storandt, M, McKeel, DW Jr, et al. Cerebral amyloid deposition and diffuse plaques in ‘normal’ aging: evidence for presymptomatic and very mild Alzheimer’s disease. Neurology 1996; 46: 707–19.Google Scholar
Lim, J, Li, Q, He, Z, et al. The eye as a biomarker for Alzheimer’s disease. Front Neurosci 2016; 10: 536.Google Scholar
Hardy, J, Selkoe, DJ The amyloid hypothesis of Alzheimer’s disease: progress and problems on the road to therapeutics. Science 2002; 297: 353–6.Google Scholar
Klein, WL, Stine, WB Jr, Teplow DB Small assemblies of unmodified amyloid beta protein are the proximate neurotoxin in Alzheimer’s disease. Neurobiol Aging 2004; 25: 569–80.Google Scholar
Hansson, O, Zetterberg, H, Buchhave, P, et al. Association between CSF biomarkers and incipient Alzheimer’s disease in patients with mild cognitive impairment: a follow-up study. Lancet Neurol 2006; 5: 228–34.Google Scholar
Parnetti, L, Lanari, A, Silvestrelli, G, Saggese, E, Reboldi, P. Diagnosing prodromal Alzheimer’s disease: role of CSF biochemical markers. Mech Ageing Dev 2006; 127: 129–32.Google Scholar
Mattsson, N, Zetterberg, H, Hansson, O, et al. CSF biomarkers and incipient Alzheimer disease in patients with mild cognitive impairment. JAMA 2009; 302: 385–93.Google Scholar
Visser, PJ, Verhey, F, Knol, D, et al. Prevalence and prognostic value of CSF markers of Alzheimer’s disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study. Lancet Neurol 2009; 8: 619–27.Google Scholar
Chetelat, G, Villemagne, VL, Pike, K, et al. Independent contribution of temporal beta-amyloid deposition to memory decline in the pre-dementia phase of Alzheimer’s disease. Brain 2011; 134: 798807.Google Scholar
Snider, BJ, Fagan, AM, Roe, C, et al. Cerebrospinal fluid biomarkers and rate of cognitive decline in very mild dementia of the Alzheimer type. Arch Neurol 2009; 66: 638–45.Google Scholar
De Souza, LC, Lamari, F, Belliard, S, et al. Cerebrospinal fluid biomarkers in the differential diagnosis of Alzheimer’s disease from other cortical dementias. J Neurol Neurosurg Psychiatry 2011; 82: 240–6.Google Scholar
Van Rossum, IA, Vos, S, Handels, R, et al. Biomarkers as predictors for conversion from mild cognitive impairment to Alzheimer-type dementia: implications for trial design. J Alzheimers Dis 2010; 20: 881–91.Google Scholar
Fagan, AM, Roe, CM, Xiong, C, et al. Cerebrospinal fluid tau/β-amyloid42 ratio as a prediction of cognitive decline in nondemented older adults. Arch Neurol 2007; 64: 343–9.Google Scholar
Li, G, Sokal, I, Quinn, JF, et al. CSF tau/Abeta42 ratio for increased risk of mild cognitive impairment: a follow-up study. Neurology 2007; 69: 631–9.Google Scholar
Villemagne, VL, Pike, KE, Darby, D, et al. Aß deposits in older non-demented individuals with cognitive decline are indicative of preclinical Alzheimer’s disease. Neuropsychologia 2008; 46: 1688–97.Google Scholar
Morris, JC, Roe, CM, Grant, EA, et al. Pittsburgh Compound B imaging and prediction of progression from cognitive normality to symptomatic Alzheimer disease. Arch Neurol 2009; 66: 1469–75.Google Scholar
Storandt, M, Mintun, MA, Head, D, et al. Cognitive decline and brain volume loss as signatures of cerebral amyloid-beta peptide deposition identified with Pittsburgh compound B: cognitive decline associated with Abeta deposition. Arch Neurol 2009; 66: 1476–81.Google Scholar
Resnick, SM, Sojkova, J, Zhou, Y, et al. Longitudinal cognitive decline is associated with fibrillar amyloid-beta measured by [11C]PiB. Neurology 2010; 74: 807–15.Google Scholar
Vemuri, P, Wiste, HJ, Weigand, SD, et al. MRI and CSF biomarkers in normal, MCI, and AD subjects: predicting future clinical change. Neurology 2009; 73: 294301.Google Scholar
Yaffe, K, Weston, A, Graff-Radford, NR, et al. Association of plasma beta-amyloid level and cognitive reserve with subsequent cognitive decline. JAMA 2011; 305: 261–6.Google Scholar
Koopman, K, Le Bastard, N, Martin, JJ, et al. Improved discrimination of autopsy-confirmed Alzheimer’s disease from non-AD dementias using CSF P-tau. Neurochem Int 2009; 55: 214–8.Google Scholar
Dubois, B, Feldman, H, Jacova, C, et al. Research criteria for the diagnosis of Alzheimer’s disease: revising the NINCDS-ADRDA criteria. Lancet Neurol 2007; 6: 734–46.Google Scholar
Shivamurthy, V, Tahari, A, Marcus, C, et al. Brain FDG PET and the diagnosis of dementia. Nucl Med Mol Imaging 2015; 204: 7685.Google Scholar
McKhann, G, Drachman, D, Folstein, M, et al. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984; 34: 939–44.Google Scholar
Jack, CR Jr, Albert, MS, Knopman, DS, et al. Introduction to the recommendations from the National Institute on Aging–Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 2011; 7: 257–62.Google Scholar
Dubois, B, Albert, ML. Amnestic MCI or prodromal Alzheimer’s disease? Lancet Neurol 2004; 3: 246–8.Google Scholar
Watkin, A, Sikdar, S, Majurndar, B, et al. New diagnostic concepts in Alzheimer’s disease. BJPsych Adv 2013; 19: 242–9.Google Scholar
Mattsson, N, Andreasson, U, Persson, S, et al. CSF biomarker variability in the Alzheimer’s Association quality control program. Alzheimers Dement 2013; 9: 251–61.Google Scholar
Harkins, K, Sankar, P, Sperling, R, et al. Development of a process to disclose amyloid imaging results to cognitively normal older adult research participants. Alzheimers Res Ther 2015; 7: 26.Google Scholar
Hughes, JC, Ingram, TA, Jarvis, A, Denton, E, Lampshire, Z, Wernham, C. Consent for the diagnosis of preclinical dementia states: a review. Maturitas 2017; 98: 30–4.Google Scholar
Green, R, Roberts, J, Cupples, L, et al. Disclosure of APOE genotype for risk of Alzheimer’s disease. N Engl J Med 2009; 361: 245–54.Google Scholar
Estes, CL, Binney, EA. The biomedicalization of aging: dangers and dilemmas. Gerontologist 1989; 29: 587–96.Google Scholar
Wilson, JMG, Jungner, G. Principles and Practice of Screening for Disease (Public Health Papers 34). World Health Organization, 1968.Google Scholar

References

Office for National Statistics. Living Longer: How Our Population Is Changing and Why It Matters. ONS, 2018. Last accessed on 3 October 2019 via: www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/ageing/articles/livinglongerhowourpopulationischangingandwhyitmatters/2018-08-13Google Scholar
Prince, M, Knapp, M, Guerchet, M, et al. Dementia UK Update. Alzheimer’s Society, 2014. Last accessed on 3 October 2019 via: www.alzheimers.org.uk/about-us/policy-and-influencing/dementia-uk-reportGoogle Scholar
National Institute for Health and Care Excellence (NICE). Dementia: Assessment, Management and Support for People Living with Dementia and Their Carers. NICE Guideline 97. NICE, 2018. Last accessed on 3 October 2019 via: www.nice.org.uk/guidance/ng97/resources/dementia-assessment-management-and-support-for-people-living-with-dementia-and-their-carers-pdf-1837760199109Google Scholar
McKhann, G, Drachma, D, Folstein, M, et al. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology 1984; 34: 939–44.Google Scholar
Knopman, DS, DeKosky, ST, Cummings, JL, et al. Practice parameter: diagnosis of dementia (an evidence-based review). Neurology 2001; 56: 1143–53.Google Scholar
McKhann, GM, Knopmanc, DS, Howard, Chertkow H, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimers Dement 2011; 7: 263–9. DOI:10.1016/j.jalz.2011.03.005Google Scholar
Petrella, JR, Coleman, RE, Doraiswamy, PM. Neuroimaging and early diagnosis of Alzheimer’s disease: a look into the future. Radiology 2003; 226: 315–36.Google Scholar
O’Brien, JT, Barber, B. Neuroimaging in dementia and depression. Advances in Psychiatric Treatment 2000; 6: 109–19.Google Scholar
O’Brien, JT (2007) Role of imaging techniques in the diagnosis of dementia. British Journal of Radiology 80: S71–7.Google Scholar
Davatzikos, C, Bhatt, P, Sha, LM, et al. Prediction of MCI to AD conversion, via MRI, CSF biomarkers and pattern classification. Neurobiology of Aging 2011; 32: e2322.1927.Google Scholar
Kantarci, K, Jack, CR Jr. Neuroimaging in Alzheimer disease: an evidence-based review. Neuroimaging Clinics of North America 2003; 13: 197209.Google Scholar
Jagust, W, Thisted, R, Devous, S, et al. SPECT perfusion imaging in the diagnosis of Alzheimer’s disease. Neurology 2001; 56: 950–6.Google Scholar
Quigley, H, Colloby, S, O’Brien, T. PET imaging of brain amyloid in dementia: a review. International Journal of Geriatric Psychiatry 2010; 26: 991–9.Google Scholar
O’Brien, JT, Firbank, MJ, Davison, C, et al. 18F-FDG PET and perfusion SPECT in the diagnosis of Alzheimer and Lewy body dementias. J Nucl Med 2014; 55: 1959–65. DOI:10.2967/jnumed.114.143347Google Scholar
Bamford, C, Olsen, K, Davison, C, et al. Is there a preference for PET or SPECT brain imaging in diagnosing dementia? The views of people with dementia, carers, and healthy controls. Int Psychogeriatr 2016; 28:1, 123–31. DOI:10.1017/S1041610215001039Google Scholar
Herholz, K, Carter, SF, Jones, M. Positron emission tomography imaging in dementia. Br J Radiol 2007; 80 (Spec No 2): S160–7.Google Scholar
Lashley, T, Schott, JM, Weston, P, et al. Molecular biomarkers of Alzheimer’s disease: progress and prospects. Dis Model Mech 2018; 11(5): dmm031781.Google Scholar
Wolk, DA, Sadowsky, C, Safirstein, B, et al. Use of flutemetamol F 18–labeled positron emission tomography and other biomarkers to assess risk of clinical progression in patients with amnestic mild cognitive impairment. JAMA Neurol 2018; 75: 11141123. DOI:10.1001/jamaneurol.2018.0894Google Scholar
Rabinovici, GD, Gatsonis, C, Apgar, C, et al. Association of amyloid positron emission tomography with subsequent change in clinical management among Medicare beneficiaries with mild cognitive impairment or dementia. JAMA 2019; 321: 12861294. DOI:10.1001/jama.2019.2000Google Scholar
Román, GC, Tatemichi, TK, Erkinjuntti, T et al. Vascular dementia: diagnostic criteria for research studies. Report of the NINDS-AIREN International Workshop. Neurology 1993; 43: 250–60.Google Scholar
Gold, G, Giannakopoulos, P, Montes-Paixao, JC, et al. Sensitivity and specificity of newly proposed clinical criteria for possible vascular dementia. Neurology 1997; 49: 690–4.Google Scholar
Shim, YS, Yang, DW, Kim, BS, et al. Comparison of regional cerebral blood flow in two subsets of subcortical ischaemic vascular dementia: statistical parametric mapping analysis of SPECT. Journal of Neurological Sciences 2006; 250:8591.Google Scholar
Pascual, B, Prieto, E, Arbizu, J, et al. Brain glucose metabolism in vascular white matter disease with dementia: differentiation from Alzheimer disease. Stroke 2010; 41: 2889–93.Google Scholar
McKeith, IG, Boeve, BF, Dickson, DW, et al. Diagnosis and management of dementia with Lewy bodies: fourth consensus report of the DLB Consortium. Neurology 2017; 89: 88100. DOI:10.1212/WNL.0000000000004058Google Scholar
Watson, R, Blamire, AM, O’Brien, JT. Magnetic resonance imaging in Lewy body dementias. Dementia and Geriatric Cognitive Disorders 2009; 28:493506.Google Scholar
Walker, RWH, Walker, Z. Dopamine transporter single photon emission computerized tomography in the diagnosis of dementia with Lewy bodies. Movement Disorders 2009; 24 (suppl 2): S754–9.Google Scholar
McKeith, I, O’Brien, J, Walker, Z, et al. Sensitivity and specificity of dopamine transporter imaging with 123IFP-CIT SPECT in dementia with Lewy bodies: a phase III, multicentre study. Lancet Neurol 2007; 6: 305–13.Google Scholar
Brooks, DJ. Imaging amyloid in Parkinson’s disease dementia and dementia with Lewy bodies with positron emission tomography. Movement Disorders 2009; 24 (suppl 2): S742–7.Google Scholar
Lim, SM, Katsifis, A, Villemang, A, et al. The 18F-FDG PET Cingulate Island sign and comparison to [123]I-Beta-CIT SPECT for diagnosis of dementia with Lewy bodies. J Nucl Med 2009; 50: 1638–45.Google Scholar
O’Brien, JT, Firbank, MJ, Davison, C, et al. 18F-FDG PET and perfusion SPECT in the diagnosis of Alzheimer and Lewy body dementias J Nucl Med 2014; 55: 1959–65. DOI:10.2967/jnumed.114.143347Google Scholar
Rascovsky, K, Hodges, JR, Knopman, D, et al. Sensitivity of revised diagnostic criteria for the behavioural variant of frontotemporal dementia. Brain 2011; 134: 2456–77. DOI:10.1093/brain/awr179Google Scholar
Hodges, JR. Frontotemporal dementia (Pick’s disease): clinical features and assessment. Neurology 2001; 56 (suppl 4): S6S10.Google Scholar
Lovestone, S. Alzheimer’s disease and other dementias (including pseudodementias). In Lishman’s Organic Psychiatry: A Textbook of Neuropsychiatry (4th ed.)(eds. David, A, Fleminger, S, Kopelman, M, Lovestone, S, Mellers, J): 543615. Wiley-Blackwell, 2009.Google Scholar
World Health Organization. WHO Guidelines on Tissue Infectivity Distribution in Transmissible Spongiform Encephalitis (WL 300). WHO, 2006. Last accessed on 15 October 2019 via: www.who.int/bloodproducts/TSEPUBLISHEDREPORT.pdfGoogle Scholar
Collie, DA, Summers, DM, Sellar, RJ, et al. Diagnosing variant Creutzfeldt–Jakob disease with the pulvinar sign: MR imaging findings in 86 neuropathologically confirmed cases. Am J Neuroradiol 2003; 24: 1560–9.Google Scholar
Mishina, M, Ishii, K, Mitani, K, et al. Midbrain hypometabolism as early diagnostic sign for progressive supranuclear palsy. Acta Neurol Scand 2004; 110: 128–35.Google Scholar
Ganguli, M, Dodge, HH, Shen, C, et al. Mild cognitive impairment, amnestic type: an epidemiologic study. Neurology 2004; 63: 115–21.Google Scholar
Whitwell, JL, Przybelski, SA, Weigand, SD, et al. 3D maps from multiple MRI illustrate changing atrophy patterns as subjects progress from mild cognitive impairment to Alzheimer’s disease. Brain 2007; 130: 1777–86.Google Scholar
Devanand, DP, Pradhaban, G, Liu, X, et al. Hippocampal and entorhinal atrophy in mild cognitive impairment: prediction of Alzheimer disease. Neurology 2007; 68: 828–36.Google Scholar
Stanton, LR, Coetzee, RH. Down’s syndrome and dementia. Adv Psychiatr Treat 2004; 10: 50–8.Google Scholar
Moss, S, Patel, P. The prevalence of mental illness in people with intellectual disability over 50 years of age, and the diagnostic importance of information from carers. Ir J Psychol Med 1993; 14: 110–29.Google Scholar
Strydom, A, Hassiotis, A, Walker, Z. Clinical use of structural magnetic resonance imaging in the diagnosis of dementia in adults with Down’s syndrome. Ir J Psychol Med 2002; 19: 60–3.Google Scholar
King’s College London, London School of Economics. Dementia UK: The Full Report. Alzheimer’s Society, 2007. Last accessed on 15 October 2019 via: www.alzheimers.org.uk/sites/default/files/2018-10/Dementia_UK_Full_Report_2007.pdf?fileID=2Google Scholar
Frisoni, GB, Pievani, M, Testa, C, et al. The topography of grey matter involvement in early and late onset Alzheimer’s disease. Brain 2007; 130: 720–30.Google Scholar
Kemp, PM, Holmes, C, Hoffman, SMA, et al. Alzheimer’s disease: differences in technetium-99m HMPAO SPECT scan findings between early onset and late onset dementia. J Neurol Neurosurg Psychiatry 2003; 74: 715–9.Google Scholar
Cho, MJ, Lyoo, IK, Lee, DW, et al. Brain single photon emission computed tomography findings in depressive pseudodementia patients. J Affect Disord 2002; 69: 159–66. Google Scholar
Neary, D, Snowden, JS, Gustafson, L, et al. Frontotemporal lobar degeneration: a consensus on clinical diagnostic criteria. Neurology 1998; 51: 1546–54.Google Scholar
Varma, AR, Snowden, JS, Lloyd, JJ, et al. Evaluation of the NINCDS-ADRDA criteria in the differentiation of Alzheimer’s disease and frontotemporal dementia. J Neurol Neurosurg Psychiatry 1999; 66: 184–8.Google Scholar
Blennow, K, De Leon, MJ, Zetterberg, H. Alzheimer’s disease. Lancet 2006; 368:387403.Google Scholar