Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-22T21:07:58.329Z Has data issue: false hasContentIssue false

Mild cognitive impairment: narrative review of taxonomies and systematic review of their prediction of incident Alzheimer's disease dementia

Published online by Cambridge University Press:  14 November 2019

Nicholas I. Bradfield*
Affiliation:
St Vincent's Hospital Melbourne, Australia
David Ames
Affiliation:
St George's Hospital, Kew, Australia
*
Correspondence to Dr Nicholas I. Bradfield ([email protected])
Rights & Permissions [Opens in a new window]

Abstract

Early detection of Alzheimer's disease is vital for developing novel treatments. Attempts to identify the intermediate state between normal cognition and dementia have evolved over the past 50 years. Current taxonomies of mild cognitive impairment (MCI) may be criticised for their imprecise operationalisation. With the advent of biomarkers such as amyloid-beta positron emission tomography imaging in established Alzheimer's disease, much research has focused on establishing which factors predict progression from MCI to Alzheimer's disease dementia. In this review, we discuss the historical context of MCI before reviewing the literature of MCI subtypes and their risk of progression to Alzheimer's disease dementia. Finally, we summarise the literature and discuss limitations and weaknesses of how the construct is operationalised and implemented, before offering suggestions for development of the concept of MCI. We conclude that MCI must be empirically defined for the sake of its predictive validity to identify Alzheimer's disease before dementia develops.

Type
Special Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
Copyright © The Authors 2019

Dementia (in this review, we will use the term dementia because of its ubiquity, the fact that it is still used by ICD-10 and historically many studies have used the term dementia), now also known as major neurocognitive disorder,1 is a common clinical syndrome that is characterised by progressive cognitive impairment that is severe enough significantly to impair daily functioning.Reference Ames, Burns and O'Brien2 Much research effort has been directed towards Alzheimer's disease, which is the most common cause of dementia.3,Reference Livingston, Sommerlad, Orgeta, Costafreda, Huntley and Ames4 Despite its tremendous burden, no disease modifying treatments for Alzheimer's disease are available.Reference Prince, Wimo, Guerchet, Ali, Wu and Prina5,Reference Prince, Albanese, Guerchet and Prina6

The dominant theory of Alzheimer's disease pathophysiology implies that amyloid-beta (Aβ) is central to the upstream mechanism of disease.Reference Hardy and Allsop7 Recent trials with monoclonal antibodies against Aβ, such as solanezumab, have proved unsuccessful in mild to moderate Alzheimer's disease dementiaReference Doody, Thomas, Farlow, Iwatsubo, Vellas and Joffe8 and in mild Alzheimer's disease dementia,Reference Neurology9 although the negative results may relate to the late disease stage at which the treatment was applied. With Aβ deposited in the brain for over 20 years before the development of the clinical syndrome of Alzheimer's disease dementia,Reference Villemagne, Burnham, Bourgeat, Brown, Ellis and Salvado10 early recognition will be key to developing potential disease-modifying therapies and secondary prevention, as well as making lifestyle and medico-legal decisions while cognitive faculties are still sufficiently intact.

Efforts to identify early or even pre-dementia patients with some very mild degree of impairment have been underway for over 50 years,Reference Kral11 and this thinking has evolved through several iterations to arrive at the current term of mild cognitive impairment (MCI).Reference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12 The concept of MCI has several similar but importantly different definitions and taxonomies, which will now be discussed systematically.

The review begins with a background consideration of Alzheimer's disease and an historical overview of MCI. This will be followed by a systematic review of the literature comparing the various taxonomies in their usefulness in predicting progression from MCI to Alzheimer's disease dementia. Finally, we discuss the state of the current literature and its limitations with a view to early identification of Alzheimer's disease to allow the testing of novel putative disease-modifying treatments.

Alzheimer's disease

Alzheimer's disease is a progressive neurodegenerative condition that is the most common cause of dementia, accounting for approximately 50–70% of cases.Reference Plassman, Langa, Fisher, Heeringa, Weir and Ofstedal13Reference Lobo, Launer, Fratiglioni, Andersen, Di Carlo and Breteler17 Its clinical hallmark is impairment of memory and new learning with rapid forgetting of newly learned information.Reference McKhann, Knopman, Chertkow, Hyman, Jack and Kawas18 Diagnostic criteria emphasise impairment of memory with insidious onset and gradual progression, as well as impairment of at least one other cognitive domain, which are severe enough to impair functional abilities significantly.1,Reference McKhann, Knopman, Chertkow, Hyman, Jack and Kawas18Reference Small, Rabins, Barry, Buckholtz, DeKosky and Ferris21 The most recent iteration of the DSM has adopted the term ‘major neurocognitive disorder due to Alzheimer's disease’, while retaining the essential diagnostic criteria.1

Mild cognitive impairment

MCI is an intermediate state between cognitively intact persons and those with dementia. This concept has evolved over time with various taxonomies, nomenclatures and definitions, which are summarised in Table 1 and described in an historical context below.

Table 1 Various definitions of cognitive impairment that is not dementia

AACD, aging-associated cognitive decline; AAMI, aging-associated memory impairment; ADL, activities of daily living; AKA, also known as; BSF, benign senescent forgetfulness; CDR, Clinical Dementia Rating scale; CIND, cognitive impairment not dementia; edu, education; MCI, mild cognitive impairment; mNCD, mild neurocognitive disorder; NIA-AA, National Institute on Aging and the Alzheimer's Association; QD, questionable dementia.

Historical development

The concept of pre-dementia causing subsyndromal symptoms was described as early as 1962, when KralReference Kral11 described ‘benign senescent forgetfulness’. This encompassed mild fluctuating retrieval-based memory impairment, which he speculated could be a mild early form of senile atrophy that spared the PapezReference Papez22 circuit. A shortcoming of Kral's description was that it lacked operational criteria, which can impede diagnostic reliability.Reference Spitzer, Endicott and Robins23

Over 20 years later, Kral's concept was extended and operationalised by Crook and colleagues; they labelled their concept age-associated memory impairment (AAMI), which they defined as subjective memory complaint and objective memory impairment on a memory test at least one standard deviation below the mean for young adults.Reference Crook, Bartus, Ferris, Whitehouse, Cohen and Gershon24 By using healthy young adults as a reference sample, this definition lacked specificity, given that performance on psychometric tasks of memory declines with healthy ageingReference Wechsler25Reference Mitrushina, Boone, Razani and D'Elia27 and up to 90% of elderly individuals would fulfil this criterion.Reference Smith, Ivnik, Petersen, Malec, Kokmen and Tangalos28 A further criticism was that AAMI exclusively focused on memory, although other cognitive domains, such as visuospatial abilities, language or executive functions, may be affected principally early in Alzheimer's disease.Reference Galton, Patterson, Xuereb and Hodges29,Reference Johnson, Head, Kim, Starr and Cotman30

Addressing both of these criticisms, the International Psychogeriatric Association broadened the concept to include other cognitive domains and also defined objective impairment with reference to an age-matched sample.Reference Levy31 They labelled this age-associated cognitive decline (AACD), defined as subjective cognitive decline as observed by the individual or an informant; gradual decline over at least 6 months; and impairment in a cognitive domain with performance one standard deviation below the mean of an age- and education-matched normative sample.Reference Levy31 AAMI and AACD appear to be distinct clinical entities with only approximately 50% overlap in concordant diagnosis and AACD participants showing more extensive cognitive impairment.Reference Richards, Touchon, Ledesert and Richie32

The term ‘MCI’ was first described by Reisberg and colleagues with the development of the Global Deterioration Scale.Reference Reisberg, Ferris, de Leon and Crook33 This was a seven-point ordinal scale from ‘no cognitive decline’ to ‘severe dementia’ that defined MCI as one or more of several examples of cognitive lapse such as becoming lost in an unfamiliar location, word-finding difficulty, forgetting names or misplacing objects, or as concentration deficit with clinical testing.Reference Reisberg, Ferris, de Leon and Crook33

Concurrently, the clinical dementia rating (CDR) scale was developed,Reference Hughes, Berg, Danziger, Coben and Martin34 which was also an ordinal scale ranging from ‘no impairment’ to ‘severe dementia’. Although not directly referring to MCI, the CDR introduced the importance of daily functioning into the concept. A person scoring 0.5 or ‘questionable impairment’ on the CDR may have slight impairment of community affairs or home life but would be fully independent with self-care.Reference Hughes, Berg, Danziger, Coben and Martin34 Flicker and colleagues used the term ‘MCI’ when they showed that psychometric impairment at baseline could predict subsequent decline in elderly patients after 2 years.Reference Flicker, Ferris and Reisberg35

Ronald Petersen, a major developer of the concept of MCI through the Mayo clinic, developed his original definition of MCI based on patients recruited from a community-based medical clinic.Reference Petersen, Smith, Ivnik, Tangalos, Schaid and Thibodeau36 They identified people who were themselves concerned about their cognition, or whose carers or physicians were concerned. These patients then had an extensive battery of physical examination, cognitive assessment, investigations and neuroimaging to rule out dementia as determined by expert panel consensus. These patients by definition had ‘normal’ scores on the Mini-Mental State ExaminationReference Folstein, Folstein and McHugh37 and Short Test of Mental Status.Reference Kokmen, Naessens and Offord38 Petersen and colleagues (1995) observed that this cohort tended to perform 1.5 standard deviations below the age-matched mean performance on memory tasks such as auditory verbal learning tests, and activities of daily living (ADL) were generally preserved, corresponding to a CDR rating of 0.5. By employing age-corrected, but not education-corrected, normative data, it introduced confounding difficulties with patients with low education or low IQ.

These criteria were more formally proposed and became known as the Mayo Clinic core criteria or the Petersen criteria.Reference Petersen, Smith, Waring, Ivnik, Tangalos and Kokmen39 The criteria were restricted to memory impairment rather than impairment of other cognitive domains, and thus were subject to similar criticism to that of AAMI; that Alzheimer's disease may principally affect other cognitive domains.Reference Galton, Patterson, Xuereb and Hodges29 In 2003, a key symposium of experts revised the Mayo Clinic criteria to include domains other than memory.Reference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12 Referred to as the Winblad criteria, these defined MCI as: (a) the person is neither normal nor demented; (b) there is evidence of cognitive deterioration shown by either objectively measured decline over time and/or subjective report of decline by self and/or informant in conjunction with objective cognitive deficits; and (3) ADL are preserved and complex instrumental functions are either intact or minimally impaired.Reference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12 Subcategories of MCI were established based on the pattern of cognitive domains affected: amnestic single-domain, amnestic multiple-domain, non-amnestic single-domain and non-amnestic multiple-domain.Reference Petersen40

The concept of ‘cognitive impairment, no dementia’ (CIND) was introduced in the context of the need for early recognition of dementia.Reference Graham, Rockwood, Beattie, Eastwood, Gauthier and Tuokko41 CIND was identified on the basis of a consensus conference of physician, nurse and neuropsychologist, integrating all available information from clinical and psychometric assessment.Reference Chertkow, Nasreddine, Joanette, Drolet, Kirk and Massoud42 It includes individuals with non-dementia-related aetiologies such as delirium, chronic alcohol and drug use, depression, psychiatric illness, intellectual disability and circumscribed memory impairment; this results in high prevalence estimatesReference Graham, Rockwood, Beattie, Eastwood, Gauthier and Tuokko41 and many CIND individuals will not develop dementia. A criticism of CIND is that it does not provide operational criteria, which may jeopardise its reliability.

Recent definitions and developments

In the context of emerging biomarkers, the National Institute on Aging and the Alzheimer's Association (NIA-AA) convened a workgroup to revise the diagnostic criteria for pre-dementia Alzheimer's disease.Reference Albert, DeKosky, Dickson, Dubois, Feldman and Fox43 Not long thereafter, the DSM-51 abandoned the term ‘dementia’ and replaced it with ‘major neurocognitive disorder’, while adding the term ‘mild neurocognitive disorder’ (mNCD), which has similarities to MCI including cognitive complaint, psychometric impairment and relative preservation of ADL.

The NIA-AA and DSM-5 mNCD both refrained from offering a strict cut-off score for psychometric impairment, instead suggesting that typical levels of impairment would be 1–2 or 1–1.5 standard deviations below the mean, respectively, for age- and education-matched normative data. Instead of arbitrary cut-offs, these criteria advocated for an individualised assessment that incorporated all available evidence.

The NIA-AA criteriaReference Albert, DeKosky, Dickson, Dubois, Feldman and Fox43 combined core clinical criteria with clinical research criteria, which incorporated biomarker evidence of disease. In doing so, these criteria moved beyond MCI as a pre-clinical definition incorporating history and examination findings to a prodromal state with biological evidence of incipient disease. The NIA-AA workgroup explicitly focused on MCI due to Alzheimer's disease and used biomarkers to stratify the likelihood that the cognitive change is due to Alzheimer's disease. Biomarkers indicating a high likelihood that MCI is due to Alzheimer's disease are an abnormal Aβ marker (e.g. positive PiB (Pittsburgh compound B) scan or cerebrospinal fluid (CSF) Aβ42) and a positive biomarker of neuronal injury (e.g. CSF tau, FDG-PET (Fluorodeoxyglucose Positron Emission Tomography) or structural magnetic resonance imaging). MCI unlikely to be due to Alzheimer's disease is determined when Aβ markers and markers of neuronal injury are both negative. MCI due to Alzheimer's disease with intermediate likelihood has either Aβ markers or neuronal injury markers as abnormal, while the other is untested. Recent studies suggest this taxonomy is useful in predicting Alzheimer's disease.Reference Vos, Verhey, Frolich, Kornhuber, Wiltfang and Maier44,Reference Guo, Alexopoulos, Eisele, Wagenpfeil, Kurz and Perneczky45 However, the invasiveness, cost and availability of these biomarkers may limit their widespread implementation in clinical settings.

Subjective cognitive decline is incorporated into modern definitions of MCI.1,Reference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12,Reference Crook, Bartus, Ferris, Whitehouse, Cohen and Gershon24,Reference Levy31,Reference Petersen, Smith, Ivnik, Tangalos, Schaid and Thibodeau36,Reference Albert, DeKosky, Dickson, Dubois, Feldman and Fox43 MCI may be preceded by a state in which the individual experiences subjective cognitive decline that is too subtle to be detected on psychometric testing.Reference Jessen, Amariglio, Van Boxtel, Breteler, Ceccaldi and Chételat46 The Subjective Cognitive Decline Initiative working party have conceptualised this as a pre-MCI state on the same spectrum towards Alzheimer's disease dementia and provided definitionsReference Jessen, Amariglio, Van Boxtel, Breteler, Ceccaldi and Chételat46 that have been operationalised for research purposes.Reference Molinuevo, Rabin, Amariglio, Buckley, Dubois and Ellis47

Prevalence of MCI

Since their publication, the revised Mayo clinic criteriaReference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12 have been commonly adopted in the literature, and studies reported in this section used these criteria unless otherwise stated.

Prospective population-based studies show that the prevalence of MCI ranges from 15 to 22% in elderly individuals.Reference Lopez, Jagust, DeKosky, Becker, Fitzpatrick and Dulberg48,Reference Petersen49 Prevalence increases with age, decreases with education, and is more common in males, unmarried people and carriers of the APOE-ε4 allele.Reference Petersen49,Reference Petersen, Roberts, Knopman, Geda, Cha and Pankratz50 Prospective population-based studies have estimated incidence rates of around 6% per year, although the rate in men (over 7%) was slightly higher than that in women (under 6%).Reference Roberts, Geda, Knopman, Cha, Pankratz and Boeve51

Progression of MCI to dementia

Estimates of progression rates to dementia or Alzheimer's disease dementia are important for advising patients about prognosis and have implications for conducting research in this population. Individuals with MCI have a higher risk of developing dementia compared with the general older population incidence of 1–2% per year,Reference Petersen, Stevens, Ganguli, Tangalos, Cummings and DeKosky52 although estimates vary depending on the definition or subtype of MCI, study design and follow-up period.Reference Petersen, Stevens, Ganguli, Tangalos, Cummings and DeKosky52Reference Petersen, Thomas, Grundman, Bennett, Doody and Ferris55 Earlier definitions using the Petersen amnestic-only MCI criteria estimated rates of progression to Alzheimer's disease dementia to be 10–15% per year.Reference Petersen, Stevens, Ganguli, Tangalos, Cummings and DeKosky52 A randomised controlled trial reported a progression rate of 16% per year.Reference Petersen, Thomas, Grundman, Bennett, Doody and Ferris55 A meta-analysis of studies using Mayo clinic criteria for MCI suggested that over 10 years, 33.6% will cumulatively progress to Alzheimer's disease dementia in specialist settings versus 28.9% in population settings, which translated to an annual progression rate of 8.1% in specialist settings and 6.8% in community studies.Reference Mitchell and Shiri-Feshki56

There is some criticism of the utility of MCI as a diagnosis given its heterogenous nosology,Reference Werner and Korczyn57 variable prognostic significanceReference Bowen, Teri, Kukull, McCormick, McCurry and Larson58Reference Ganguli, Dodge, Shen and DeKosky60 and the various ethical issues it raises.Reference Werner and Korczyn57 We would counterargue that these issue provide impetus to refine the definition of MCI, as doing so will allow identification of a group that could be identified for treatment of modifiable risk factors that may decrease the risk of developing dementia, such as diet, diabetes mellitus, hypertension and hypercholesterolemia.Reference Cooper, Sommerlad, Lyketsos and Livingston61,Reference Li, Wang, Zhang, Xu, Gao and Fang62

The present study aimed to review the evidence with regards to which taxonomy of MCI was more useful in predicting incident Alzheimer's disease dementia. We hypothesised that amnestic MCI (aMCI) and multiple-domain MCI would be more likely than non-MCI controls to progress to Alzheimer's disease dementia.

Methods

Search method

Medline was searched via PubMed on 28 February 2017 using the search terms ‘MCI or Mild Cognitive Impairment’ and ‘Alzheimer's disease’ and ‘progression or conversion’, identifying 2583 studies. The search was restricted to articles in the English language and studies conducted on humans aged 65 years and over, resulting in 1674 studies. See Fig. 1 for the PRISMA diagram.Reference Moher, Liberati, Tetzlaff and Altman63

Fig. 1 PRISMA diagram of study selection.

Selection criteria

Studies were selected if they performed longitudinal follow-up of at least 3 years, reported on the incident development of Alzheimer's disease dementia using established criteria, and explicitly compared two definitions of MCI. The 3-year duration was selected because of the lower specificity associated with shorter follow-up.Reference Davatzikos, Bhatt, Shaw, Batmanghelich and Trojanowski64

Data extraction

All titles were reviewed and the abstracts of all potentially relevant studies were assessed. The identified full papers were assessed for eligibility and data were extracted. Study quality was assessed using the Newcastle-Ottawa Quality Assessment Scale.Reference Wells, Shea, O'Connell, Peterson, Welch and Losos65

Results

There were 15 studies included in the final analysis, all of which were classified as ‘good’ according to the Newcastle-Ottawa Quality Assessment Scale.Reference Wells, Shea, O'Connell, Peterson, Welch and Losos65

MCI subtype and progression to Alzheimer's disease dementia

Only a single study explicitly examined differences between various classification systems of MCI and progression to Alzheimer's disease dementia. In a large population-based study of 4057 individuals with 4.5 years follow-up, DSM-5 criteria gave a higher annual progression rate than Petersen criteria for progression to Alzheimer's disease dementia and to all-cause dementia.Reference Marcos, Santabarbara, Lopez-Anton, De-la-Camara, Gracia-Garcia and Lobo66 However, the majority of people who developed Alzheimer's disease dementia were classified as normal controls at baseline. The DSM-5 criteria were more restrictive, with only 139 cases meeting criteria, whereas 303 cases met criteria for Petersen aMCI. The authors do not stipulate why, but a possible contributing factor to this is that the DSM-5 criteria explicitly exclude people with severe depression, psychosis or delirium, whereas the Petersen criteria do not. Marcos and colleagues (2016) noted that most of the MCI cases did not progress to Alzheimer's disease dementia or dementia during the 4.5-year follow-up; indeed, only 15% of the DSM-5 defined MCI cases progressed to dementia.

Twelve studies explicitly examined differences between various subtypes of MCI, usually within the Winblad taxonomy.Reference Winblad, Palmer, Kivipelto, Jelic, Fratiglioni and Wahlund12 The most consistent finding was that aMCI is associated with an increased risk of progression to Alzheimer's disease dementia.Reference Fischer, Jungwirth, Zehetmayer, Weissgram, Hoenigschnabl and Gelpi53,Reference Bermejo-Pareja, Contador, Trincado, Lora, Sanchez-Ferro and Mitchell67Reference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 Individuals with aMCI are more likely (18–19% per year) to progress to Alzheimer's disease dementia than non-amnestic MCI participants (10–11%) in community-Reference Fischer, Jungwirth, Zehetmayer, Weissgram, Hoenigschnabl and Gelpi53 and healthcare-based cohorts.Reference Tifratene, Robert, Metelkina, Pradier and Dartigues78

Ten studies compared progression rates between various subtypes within the Winblad taxonomy. Seven of these studies show that multiple-domain aMCI has the best predictive accuracy for progression to Alzheimer's disease dementia,Reference Palmer, Bäckman, Winblad and Fratiglioni54,Reference Bermejo-Pareja, Contador, Trincado, Lora, Sanchez-Ferro and Mitchell67Reference Summers and Saunders69,Reference Nordlund, Rolstad, Klang, Edman, Hansen and Wallin73,Reference Forlenza, Diniz, Nunes, Memoria, Yassuda and Gattaz74,Reference Tabert, Manly, Liu, Pelton, Rosenblum and Jacobs76 with annual progression rates ranging from 4 to 25%. However, two studies found that single-domain aMCI was associated with the highest risk of progression to dementia due to Alzheimer's disease,Reference Damian, Hausner, Jekel, Richter, Froelich and Almkvist70,Reference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 and one found no difference between single- and multiple-domain aMCI.Reference Lee, Park, Lee, Moon, Chung and Kang71 A challenge to the discriminative validity of the Winblad taxonomy is that multiple-domain aMCI was also the best predictor of progression to vascular dementia.Reference Nordlund, Rolstad, Klang, Edman, Hansen and Wallin73

Although all studies purported to employ the revised Mayo criteria, these were operationalised in different ways, for example, using hierarchical cluster analysis of neuropsychological data rather than clinical judgementReference Damian, Hausner, Jekel, Richter, Froelich and Almkvist70 or not including information about subjective memory complaint.Reference Bermejo-Pareja, Contador, Trincado, Lora, Sanchez-Ferro and Mitchell67 Moreover, psychometric impairment was defined in one study as at least 1.5 standard deviations below the mean for an age- and education-matched sample on a neuropsychological batteryReference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 or as at least 1.0 standard deviations below the mean for an age- and education-matched sample on indices derived from the Montreal Cognitive Assessment.Reference Julayanont, Brousseau, Chertkow, Phillips and Nasreddine68

Discussion

The concept of MCI has evolved from a vague clinical observation to a diagnosis that can incorporate disease biomarkers to predict the likelihood of developing Alzheimer's disease dementia. There have been at least nine different attempts to define the intermediate state between cognitive health and dementia. However, only a single study has explicitly compared different taxonomies in terms of their usefulness in predicting incident Alzheimer's disease dementia.Reference Marcos, Santabarbara, Lopez-Anton, De-la-Camara, Gracia-Garcia and Lobo66 This study showed that DSM-5-defined mNCD had better positive predictive value than did Petersen criteria, although the majority of people who developed Alzheimer's disease dementia were classified as normal controls at baseline. Of the studies comparing various subtypes of MCI within the Winblad taxonomy, aMCI better predicts progression to Alzheimer's disease dementia than does non-amnestic MCI.Reference Fischer, Jungwirth, Zehetmayer, Weissgram, Hoenigschnabl and Gelpi53,Reference Tifratene, Robert, Metelkina, Pradier and Dartigues78 This is consistent with the observation that memory impairment is the hallmark clinical feature of Alzheimer's disease.Reference McKhann, Knopman, Chertkow, Hyman, Jack and Kawas18

Although there was not consensus, 7 of 10 studies found that multiple-domain aMCI was better than single domain aMCI in predicting progression,Reference Palmer, Bäckman, Winblad and Fratiglioni54,Reference Bermejo-Pareja, Contador, Trincado, Lora, Sanchez-Ferro and Mitchell67Reference Summers and Saunders69,Reference Nordlund, Rolstad, Klang, Edman, Hansen and Wallin73,Reference Forlenza, Diniz, Nunes, Memoria, Yassuda and Gattaz74,Reference Tabert, Manly, Liu, Pelton, Rosenblum and Jacobs76 two showed the oppositeReference Damian, Hausner, Jekel, Richter, Froelich and Almkvist70,Reference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 and one showed no difference.Reference Lee, Park, Lee, Moon, Chung and Kang71 A possible reason for the discrepant findings regarding single-domain aMCI and multiple-domain aMCI in the prediction of Alzheimer's disease dementia is differing definitions of the subtypes. The inconsistent findings within this area highlight the variable implementation of the criteria. Although all studies purported to employ the revised Mayo criteria, these were operationalised in different ways, such as not including subjective memory complaint,Reference Bermejo-Pareja, Contador, Trincado, Lora, Sanchez-Ferro and Mitchell67 different psychometric cut-off z-scores ranging from −1.0Reference Julayanont, Brousseau, Chertkow, Phillips and Nasreddine68 to −1.5,Reference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 different psychometric testsReference Julayanont, Brousseau, Chertkow, Phillips and Nasreddine68,Reference Ravaglia, Forti, Maioli, Martelli, Servadei and Brunetti77 or even hierarchical cluster analysis of neuropsychological data.Reference Damian, Hausner, Jekel, Richter, Froelich and Almkvist70

This review suggests that aMCI is superior to non-amnestic MCI and that multiple domain aMCI is probably superior to single domain aMCI in predicting progression to Alzheimer's disease dementia. It may be that involvement of cognitive domains in addition to memory in MCI implies more severe or advanced disease that is closer to the emergence of dementia. Despite these findings, the predictive validity of MCI is limited, as up to 60% of MCI individuals will not develop dementia in the following 10 years.Reference Mitchell and Shiri-Feshki56

We suggest that the concept of MCI may be improved in three ways. First, criteria should be operationally defined. Second, criteria should be empirically defined. Finally, the MCI group should be stratified for likelihood of progression to Alzheimer's disease dementia. These will now be discussed in turn.

Several taxonomies of MCI have suggested explicit cut-off scores on cognitive measures. Despite this, more recent taxonomies from the DSM-V and NIA-AA have dispensed with cut-offs for cognitive impairment. Although this approach has the merit of tailoring assessment to the individual, it may introduce issues with interrater reliability, which may further undermine the reliability of MCI in the research literature. We suggest that criteria for subjective and objective memory impairment should be operationalised to ensure reliability of the concept.

This raises the question of which cut-off should be adopted. We suggest that the utility of MCI may be improved by providing operational criteria that are empirically defined by their prediction of Alzheimer's disease dementia. There have been only a few attempts to use such data-driven definitions of MCI. For example, MCI subtypes identified with latent profile analysis outperformed Winblad criteriaReference McGuinness, Barrett, McIlvenna, Passmore and Shorter79. Other studies have shown that the severity of memory impairmentReference Bradfield, Ellis, Savage, Maruff, Burnham and Darby80,Reference Gomar, Bobes-Bascaran, Conejero-Goldberg, Davies and Goldberg81 and the base rate of memory impairmentReference Oltra-Cucarella, Sanchez-SanSegundo, Lipnicki, Sachdev, Crawford and Perez-Vicente82 offer an advantage over the common taxonomies. We propose that cognitive impairment used to identify MCI should be empirically defined, whether it be in terms of the lowest performance,Reference Bradfield, Ellis, Savage, Maruff, Burnham and Darby80,Reference Gomar, Bobes-Bascaran, Conejero-Goldberg, Davies and Goldberg81 base rate of impairment,Reference Oltra-Cucarella, Sanchez-SanSegundo, Lipnicki, Sachdev, Crawford and Perez-Vicente82 or possibly average memory score or some other method.

These same factors may then be used to stratify the severity or grade of MCI. All current taxonomies treat MCI as a categorical entity, which is not consistent with a longitudinal model of Alzheimer's disease pathophysiology. Although the clinical manifestation of Alzheimer's disease exists on a spectrum from asymptomatic to severe dementia, MCI is not staged as such. We propose that MCI should be stratified by factors such as severityReference Bradfield, Ellis, Savage, Maruff, Burnham and Darby80,Reference Gomar, Bobes-Bascaran, Conejero-Goldberg, Davies and Goldberg81 or base rate of impairmentReference Oltra-Cucarella, Sanchez-SanSegundo, Lipnicki, Sachdev, Crawford and Perez-Vicente82 to indicate increased risk of progression to Alzheimer's disease dementia. This may allow individuals to be selected for more intensive monitoring, for secondary prevention techniques such as control of diet and cardiovascular risk factors,Reference Cooper, Sommerlad, Lyketsos and Livingston61,Reference Li, Wang, Zhang, Xu, Gao and Fang62 and for recruitment into clinical trials of putative treatments for Alzheimer's disease.

Conclusion

The current literature suggests that MCI individuals with memory impairment and impairment of multiple domains are at increased risk of progression to Alzheimer's disease dementia. We suggest that the concept of MCI should be improved by offering operational criteria of memory or cognitive impairment that are empirically defined. Furthermore, we propose that MCI should be developed from a singular categorical diagnosis to a graded diagnosis that indicates increased risk for progression to Alzheimer's disease dementia. In this way, MCI may become a more reliable construct with better predictive validity that will be more useful in understanding the natural history of Alzheimer's disease. This in turn will allow better targeted selection of individuals with pre-symptomatic Alzheimer's disease to allow early implementation of therapeutic strategies to modify the course of this common and burdensome disease.

Author contribution statement

N.I.B. drafted the manuscript. D.A. assisted in revising the manuscript.

About the authors

Nicholas I. Bradfield is a basic physician trainee at St Vincent's Hospital, Melbourne, Australia and is a clinical neuropsychologist in private practice in Melbourne, Australia. David Ames is Emeritus Professor in the University of Melbourne Academic Unit for Psychiatry of Old Age, St George's Hospital, Kew, Australia, a consultant psychiatrist with Melbourne Heath, Parkville, Australia, and director of the National Ageing Research Institute, Parkville, Australia.

Footnotes

Declaration of interest: D.A. reports personal fees from the Howard Florey institute sponsored by Eli Lilly, outside the submitted work.

References

1American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (DSM-5). APA, 2013.Google Scholar
2Ames, D, Burns, A, O'Brien, J. Dementia. Hodder Arnold, 2010.CrossRefGoogle Scholar
3Alzheimer's Association. 2013 Alzheimer's disease facts and figures. Alzheimers Dement 2013; 9(2): 208–45.CrossRefGoogle Scholar
4Livingston, G, Sommerlad, A, Orgeta, V, Costafreda, SG, Huntley, J, Ames, D, et al. Dementia prevention, intervention, and care. Lancet 2017; 390(10113): 2673–734.CrossRefGoogle ScholarPubMed
5Prince, M, Wimo, A, Guerchet, M, Ali, GC, Wu, Y-T, Prina, M. World Alzheimer Report 2015. The Global Impact of Dementia. An Analysis of Prevalence, Incidence, Costs and Trends. Alzheimer's Disease International, 2015.Google Scholar
6Prince, M, Albanese, E, Guerchet, M, Prina, M. World Alzheimer Report 2014. Dementia and Risk Reduction: An Analysis of Protective and Modifiable Factors. Alzheimer's Disease International, 2014.Google Scholar
7Hardy, J, Allsop, D. Amyloid deposition as the central event in the aetiology of Alzheimer's disease. Trends Pharmacol Sci 1991; 12: 383–8.CrossRefGoogle ScholarPubMed
8Doody, RS, Thomas, RG, Farlow, M, Iwatsubo, T, Vellas, B, Joffe, S, et al. Phase 3 trials of solanezumab for mild-to-moderate Alzheimer's disease. N Engl J Med 2014; 370(4): 311–21.CrossRefGoogle ScholarPubMed
9Neurology, TL. Solanezumab: too late in mild Alzheimer's disease? Lancet Neurol 2017; 16(2): 97.CrossRefGoogle Scholar
10Villemagne, VL, Burnham, S, Bourgeat, P, Brown, B, Ellis, KA, Salvado, O, et al. Amyloid β deposition, neurodegeneration, and cognitive decline in sporadic Alzheimer's disease: a prospective cohort study. Lancet Neurol 2013; 12(4): 357–67.CrossRefGoogle ScholarPubMed
11Kral, V. Senescent forgetfulness: benign and malignant. Can Med Assoc J 1962; 86(6): 257–60.Google ScholarPubMed
12Winblad, B, Palmer, K, Kivipelto, M, Jelic, V, Fratiglioni, L, Wahlund, LO, et al. Mild cognitive impairment–beyond controversies, towards a consensus: report of the International Working Group on Mild Cognitive Impairment. J Intern Med 2004; 256(3): 240–6.CrossRefGoogle Scholar
13Plassman, BL, Langa, KM, Fisher, GG, Heeringa, SG, Weir, DR, Ofstedal, MB, et al. Prevalence of dementia in the United States: the aging, demographics, and memory study. Neuroepidemiology 2007; 29(1–2): 125–32.CrossRefGoogle ScholarPubMed
14Jellinger, K, Danielczyk, W, Fischer, P, Gabriel, E. Clinicopathological analysis of dementia disorders in the elderly. J Neurol Sci 1990; 95(3): 239–58.CrossRefGoogle ScholarPubMed
15Fratiglioni, L, Grut, M, Forsell, Y, Viitanen, M, Grafström, M, Holmen, K, et al. Prevalence of Alzheimer's disease and other dementias in an elderly urban population: relationship with age, sex, and education. Neurology 1991; 41(12): 1886–9.CrossRefGoogle Scholar
16Copeland, J, Davidson, I, Dewey, M, Gilmore, C, Larkin, B, McWilliam, C, et al. Alzheimer's disease, other dementias, depression and pseudodementia: prevalence, incidence and three-year outcome in Liverpool. Br J Psychiatry 1992; 161(2): 230–9.CrossRefGoogle ScholarPubMed
17Lobo, A, Launer, L, Fratiglioni, L, Andersen, K, Di Carlo, A, Breteler, M, et al. Prevalence of dementia and major subtypes in Europe: a collaborative study of population-based cohorts. Neurology 2000; 54(11; S5): S49.Google ScholarPubMed
18McKhann, GM, Knopman, DS, Chertkow, H, Hyman, BT, Jack, CR, Kawas, CH, 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(3): 263–9.CrossRefGoogle Scholar
19McKhann, GM, Drachman, D, Folstein, M, Katzman, R, Price, D, Stadlan, EM. 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(7): 939–44.CrossRefGoogle ScholarPubMed
20Dubois, B, Feldman, HH, Jacova, C, DeKosky, ST, Barberger-Gateau, P, Cummings, J, et al. Research criteria for the diagnosis of Alzheimer's disease: revising the NINCDS–ADRDA criteria. Lancet Neurol 2007; 6(8): 734–46.CrossRefGoogle Scholar
21Small, GW, Rabins, PV, Barry, PP, Buckholtz, NS, DeKosky, ST, Ferris, SH, et al. Diagnosis and treatment of Alzheimer disease and related disorders: consensus statement of the American Association for Geriatric Psychiatry, the Alzheimer's Association, and the American Geriatrics Society. JAMA 1997; 278(16): 1363–71.CrossRefGoogle Scholar
22Papez, JW. A proposed mechanism of emotion. Arch Neurol Psychiatry 1937; 38: 725–43.CrossRefGoogle Scholar
23Spitzer, RL, Endicott, J, Robins, E. Research diagnostic criteria: rationale and reliability. Arch Gen Psychiatry 1978; 35(6): 773–82.10.1001/archpsyc.1978.01770300115013CrossRefGoogle ScholarPubMed
24Crook, T, Bartus, RT, Ferris, SH, Whitehouse, P, Cohen, GD, Gershon, S. Age-associated memory impairment: proposed diagnostic criteria and measures of clinical change – report of a National Institute of Mental Health work group. Dev Neuropsychol 1986; 2(4): 261–76.CrossRefGoogle Scholar
25Wechsler, D. Wechsler Memory Scale (WMS-III). Psychological Corporation, 1997.Google Scholar
26Petersen, RC, Smith, G, Kokmen, E, Ivnik, RJ, Tangalos, EG. Memory function in normal aging. Neurology 1992; 42(2): 396.CrossRefGoogle ScholarPubMed
27Mitrushina, M, Boone, KB, Razani, J, D'Elia, L. Handbook of Normative Data for Neuropsychological Assessment. Oxford University Press, 2005.Google Scholar
28Smith, G, Ivnik, RJ, Petersen, RC, Malec, JF, Kokmen, E, Tangalos, E. Age-associated memory impairment diagnoses: problems of reliability and concerns for terminology. Psychol Aging 1991; 6(4): 551.CrossRefGoogle ScholarPubMed
29Galton, CJ, Patterson, K, Xuereb, JH, Hodges, JR. Atypical and typical presentations of Alzheimer's disease: a clinical, neuropsychological, neuroimaging and pathological study of 13 cases. Brain 2000; 123(3): 484–98.CrossRefGoogle ScholarPubMed
30Johnson, JK, Head, E, Kim, R, Starr, A, Cotman, CW. Clinical and pathological evidence for a frontal variant of Alzheimer disease. Arch Neurol 1999; 56(10): 1233–9.CrossRefGoogle ScholarPubMed
31Levy, R. Aging-associated cognitive decline. Working Party of the International Psychogeriatric Association in collaboration with the World Health Organization. Int Psychogeriatr 1994; 6(1): 63–8.Google ScholarPubMed
32Richards, M, Touchon, J, Ledesert, B, Richie, K. Cognitive decline in ageing: are AAMI and AACD distinct entities? Int J Geriatr Psychiatry 1999; 14(7): 534–40.3.0.CO;2-B>CrossRefGoogle ScholarPubMed
33Reisberg, B, Ferris, SH, de Leon, MJ, Crook, T. The Global Deterioration Scale for assessment of primary degenerative dementia. Am J Psychiatry 1982; 139(9): 1136–9.Google ScholarPubMed
34Hughes, CP, Berg, L, Danziger, WL, Coben, LA, Martin, RL. A new clinical scale for the staging of dementia. Br J Psychiatry 1982; 140: 566–72.CrossRefGoogle ScholarPubMed
35Flicker, C, Ferris, SH, Reisberg, B. Mild cognitive impairment in the elderly: predictors of dementia. Neurology 1991; 41(7): 1006.CrossRefGoogle ScholarPubMed
36Petersen, RC, Smith, GE, Ivnik, RJ, Tangalos, EG, Schaid, DJ, Thibodeau, SN, et al. Apolipoprotein E status as a predictor of the development of Alzheimer's disease in memory-impaired individuals. JAMA 1995; 273(16): 1274–8.CrossRefGoogle ScholarPubMed
37Folstein, 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(3): 189–98.CrossRefGoogle Scholar
38Kokmen, E, Naessens, JM, Offord, KP. A short test of mental status: description and preliminary results. Mayo Clin Proc 1987; 62(4): 281–8.Google Scholar
39Petersen, RC, Smith, GE, Waring, SC, Ivnik, RJ, Tangalos, EG, Kokmen, E. Mild cognitive impairment: clinical characterization and outcome. Arch Neurol 1999; 56(3): 303–8.CrossRefGoogle ScholarPubMed
40Petersen, RC. Mild cognitive impairment as a diagnostic entity. J Intern Med 2004; 256(3): 183–94.CrossRefGoogle ScholarPubMed
41Graham, JE, Rockwood, K, Beattie, BL, Eastwood, R, Gauthier, S, Tuokko, H, et al. Prevalence and severity of cognitive impairment with and without dementia in an elderly population. Lancet 1997; 349(9068): 1793–6.CrossRefGoogle Scholar
42Chertkow, H, Nasreddine, Z, Joanette, Y, Drolet, V, Kirk, J, Massoud, F, et al. Mild cognitive impairment and cognitive impairment, no dementia: Part A, concept and diagnosis. Alzheimers Dement 2007; 3(4): 266–82.CrossRefGoogle Scholar
43Albert, MS, DeKosky, ST, Dickson, D, Dubois, B, Feldman, HH, Fox, NC, et al. The diagnosis of mild cognitive impairment 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(3): 270–9.10.1016/j.jalz.2011.03.008CrossRefGoogle Scholar
44Vos, SJ, Verhey, F, Frolich, L, Kornhuber, J, Wiltfang, J, Maier, W, et al. Prevalence and prognosis of Alzheimer's disease at the mild cognitive impairment stage. Brain 2015; 138(Pt 5): 1327–38.CrossRefGoogle ScholarPubMed
45Guo, LH, Alexopoulos, P, Eisele, T, Wagenpfeil, S, Kurz, A, Perneczky, R. The National Institute on Aging-Alzheimer's Association research criteria for mild cognitive impairment due to Alzheimer's disease: predicting the outcome. Eur Arch Psychiatry Clin Neurosci 2013; 263(4): 325–33.CrossRefGoogle ScholarPubMed
46Jessen, F, Amariglio, RE, Van Boxtel, M, Breteler, M, Ceccaldi, M, Chételat, G, et al. A conceptual framework for research on subjective cognitive decline in preclinical Alzheimer's disease. Alzheimers Dement 2014; 10(6): 844–52.CrossRefGoogle ScholarPubMed
47Molinuevo, JL, Rabin, LA, Amariglio, R, Buckley, R, Dubois, B, Ellis, KA, et al. Implementation of subjective cognitive decline criteria in research studies. Alzheimers Dement 2017; 13(3): 296311.CrossRefGoogle ScholarPubMed
48Lopez, OL, Jagust, WJ, DeKosky, ST, Becker, JT, Fitzpatrick, A, Dulberg, C, et al. Prevalence and classification of mild cognitive impairment in the Cardiovascular Health Study Cognition Study: part 1. Arch Neurol 2003; 60(10): 1385–9.CrossRefGoogle ScholarPubMed
49Petersen, RC. Early diagnosis of Alzheimer's disease: is MCI too late? Curr Alzheimer Res 2009; 6(4): 324–30.CrossRefGoogle ScholarPubMed
50Petersen, RC, Roberts, RO, Knopman, DS, Geda, YE, Cha, R, Pankratz, V, et al. Prevalence of mild cognitive impairment is higher in men: the Mayo Clinic Study of Aging. Neurology 2010; 75(10): 889–97.CrossRefGoogle ScholarPubMed
51Roberts, RO, Geda, YE, Knopman, DS, Cha, R, Pankratz, V, Boeve, BF, et al. The incidence of MCI differs by subtype and is higher in men: the Mayo Clinic Study of Aging. Neurology 2012; 78(5): 342–51.CrossRefGoogle ScholarPubMed
52Petersen, RC, Stevens, J, Ganguli, M, Tangalos, EG, Cummings, JL, DeKosky, S. Practice parameter: Early detection of dementia: mild cognitive impairment (an evidence-based review). Report of the Quality Standards Subcommittee of the American Academy of Neurology. Neurology 2001; 56(9): 1133–42.CrossRefGoogle ScholarPubMed
53Fischer, P, Jungwirth, S, Zehetmayer, S, Weissgram, S, Hoenigschnabl, S, Gelpi, E, et al. Conversion from subtypes of mild cognitive impairment to Alzheimer dementia. Neurology 2007; 68(4): 288–91.CrossRefGoogle ScholarPubMed
54Palmer, K, Bäckman, L, Winblad, B, Fratiglioni, L. Mild cognitive impairment in the general population: occurrence and progression to Alzheimer disease. Am J Geriatr Psychiatry 2008; 16(7): 603–11.CrossRefGoogle ScholarPubMed
55Petersen, RC, Thomas, RG, Grundman, M, Bennett, D, Doody, R, Ferris, S, et al. Vitamin E and donepezil for the treatment of mild cognitive impairment. N Engl J Med 2005; 352(23): 2379–88.CrossRefGoogle ScholarPubMed
56Mitchell, 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(4): 252–65.CrossRefGoogle ScholarPubMed
57Werner, P, Korczyn, AD. Mild cognitive impairment: conceptual, assessment, ethical, and social issues. Clin Interv Aging 2008; 3(3): 413–20.CrossRefGoogle Scholar
58Bowen, J, Teri, L, Kukull, W, McCormick, W, McCurry, SM, Larson, EB. Progression to dementia in patients with isolated memory loss. Lancet 1997; 349(9054): 763–5.CrossRefGoogle ScholarPubMed
59Kluger, A, Ferris, SH, Golomb, J, Mittelman, MS, Reisberg, B. Neuropsychological prediction of decline to dementia in nondemented elderly. J Geriatr Psychiatry Neurol 1999; 12(4): 168–79.CrossRefGoogle ScholarPubMed
60Ganguli, M, Dodge, HH, Shen, C, DeKosky, ST. Mild cognitive impairment, amnestic type: an epidemiologic study. Neurology 2004; 63(1): 115–21.CrossRefGoogle Scholar
61Cooper, C, Sommerlad, A, Lyketsos, CG, Livingston, G. Modifiable predictors of dementia in mild cognitive impairment: a systematic review and meta-analysis. Am J Psychiatry 2015; 172(4): 323–34.10.1176/appi.ajp.2014.14070878CrossRefGoogle ScholarPubMed
62Li, J, Wang, YJ, Zhang, M, Xu, ZQ, Gao, CY, Fang, CQ, et al. Vascular risk factors promote conversion from mild cognitive impairment to Alzheimer disease. Neurology 2011; 76(17): 1485–91.10.1212/WNL.0b013e318217e7a4CrossRefGoogle ScholarPubMed
63Moher, D, Liberati, A, Tetzlaff, J, Altman, DG. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Ann Intern Med 2009; 151(4): 264–9.CrossRefGoogle ScholarPubMed
64Davatzikos, C, Bhatt, P, Shaw, LM, Batmanghelich, KN, Trojanowski, JQ. Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification. Neurobiol Aging 2011; 32(12): 2322.e19–27.CrossRefGoogle ScholarPubMed
65Wells, G, Shea, B, O'Connell, D, Peterson, J, Welch, V, Losos, M, et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomised Studies in Meta-analyses. The Ottawa Hospital Research Institute, 2014.Google Scholar
66Marcos, G, Santabarbara, J, Lopez-Anton, R, De-la-Camara, C, Gracia-Garcia, P, Lobo, E, et al. Conversion to dementia in mild cognitive impairment diagnosed with DSM-5 criteria and with Petersen's criteria. Acta Psychiatr Scand 2016; 133(5): 378–85.CrossRefGoogle ScholarPubMed
67Bermejo-Pareja, F, Contador, I, Trincado, R, Lora, D, Sanchez-Ferro, A, Mitchell, AJ, et al. Prognostic significance of mild cognitive impairment subtypes for dementia and mortality: data from the NEDICES cohort. J Alzheimers Dis 2016; 50(3): 719–31.CrossRefGoogle ScholarPubMed
68Julayanont, P, Brousseau, M, Chertkow, H, Phillips, N, Nasreddine, ZS. Montreal Cognitive Assessment Memory Index Score (MoCA-MIS) as a predictor of conversion from mild cognitive impairment to Alzheimer's disease. J Am Geriatr Soc 2014; 62(4): 679–84.CrossRefGoogle ScholarPubMed
69Summers, MJ, Saunders, NL. Neuropsychological measures predict decline to Alzheimer's dementia from mild cognitive impairment. Neuropsychology 2012; 26(4): 498508.CrossRefGoogle ScholarPubMed
70Damian, M, Hausner, L, Jekel, K, Richter, M, Froelich, L, Almkvist, O, et al. Single-domain amnestic mild cognitive impairment identified by cluster analysis predicts Alzheimer's disease in the European prospective DESCRIPA study. Dement Geriatr Cogn Disord 2013; 36(1–2): 119.CrossRefGoogle ScholarPubMed
71Lee, YM, Park, JM, Lee, BD, Moon, E, Chung, YI, Kang, CJ. Memory impairment, in mild cognitive impairment without significant cerebrovascular disease, predicts progression to Alzheimer's disease. Dement Geriatr Cogn Disord 2012; 33(4): 240–4.CrossRefGoogle ScholarPubMed
72Jungwirth, S, Zehetmayer, S, Hinterberger, M, Tragl, KH, Fischer, P. The validity of amnestic MCI and non-amnestic MCI at age 75 in the prediction of Alzheimer's dementia and vascular dementia. Int Psychogeriatr 2012; 24(6): 959–66.CrossRefGoogle ScholarPubMed
73Nordlund, A, Rolstad, S, Klang, O, Edman, A, Hansen, S, Wallin, A. Two-year outcome of MCI subtypes and aetiologies in the Goteborg MCI study. J Neurol Neurosurg Psychiatry 2010; 81(5): 541–6.CrossRefGoogle ScholarPubMed
74Forlenza, OV, Diniz, BS, Nunes, PV, Memoria, CM, Yassuda, MS, Gattaz, WF. Diagnostic transitions in mild cognitive impairment subtypes. Int Psychogeriatr 2009; 21(6): 1088–95.CrossRefGoogle ScholarPubMed
75Yaffe, K, Petersen, RC, Lindquist, K, Kramer, J, Miller, B. Subtype of mild cognitive impairment and progression to dementia and death. Dement Geriatr Cogn Disord 2006; 22(4): 312–9.CrossRefGoogle ScholarPubMed
76Tabert, MH, Manly, JJ, Liu, X, Pelton, GH, Rosenblum, S, Jacobs, M, et al. Neuropsychological prediction of conversion to Alzheimer disease in patients with mild cognitive impairment. Arch Gen Psychiatry 2006; 63(8): 916–24.CrossRefGoogle ScholarPubMed
77Ravaglia, G, Forti, P, Maioli, F, Martelli, M, Servadei, L, Brunetti, N, et al. Conversion of mild cognitive impairment to dementia: predictive role of mild cognitive impairment subtypes and vascular risk factors. Dement Geriatr Cogn Disord 2006; 21(1): 51–8.CrossRefGoogle ScholarPubMed
78Tifratene, K, Robert, P, Metelkina, A, Pradier, C, Dartigues, JF. Progression of mild cognitive impairment to dementia due to AD in clinical settings. Neurology 2015; 85(4): 331–8.CrossRefGoogle ScholarPubMed
79McGuinness, B, Barrett, SL, McIlvenna, J, Passmore, AP, Shorter, GW. Predicting conversion to dementia in a memory clinic: a standard clinical approach compared with an empirically defined clustering method (latent profile analysis) for mild cognitive impairment subtyping. Alzheimers Dement 2015; 1(4): 447–54.Google Scholar
80Bradfield, NI, Ellis, KA, Savage, G, Maruff, P, Burnham, S, Darby, DG, et al. Baseline amnestic severity predicts progression from amnestic mild cognitive impairment to Alzheimer disease dementia at 3 years. Alzheimer Dis Assoc Disord 2018; 32(3): 190–6.CrossRefGoogle ScholarPubMed
81Gomar, JJ, Bobes-Bascaran, MT, Conejero-Goldberg, C, Davies, P, Goldberg, TE. Utility of combinations of biomarkers, cognitive markers, and risk factors to predict conversion from mild cognitive impairment to Alzheimer disease in patients in the Alzheimer's disease neuroimaging initiative. Arch Gen Psychiatry 2011; 68(9): 961–9.CrossRefGoogle ScholarPubMed
82Oltra-Cucarella, J, Sanchez-SanSegundo, M, Lipnicki, DM, Sachdev, PS, Crawford, JD, Perez-Vicente, JA, et al. Using base rate of low scores to identify progression from amnestic mild cognitive impairment to Alzheimer's disease. J Am Geriatr Soc 2018; 66(7): 1360–6.CrossRefGoogle ScholarPubMed
Figure 0

Table 1 Various definitions of cognitive impairment that is not dementia

Figure 1

Fig. 1 PRISMA diagram of study selection.

Submit a response

eLetters

No eLetters have been published for this article.