2014_J Geriatr Psychiatry Neurol 2014

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http://jgp.sagepub.com/ Journal of Geriatric Psychiatry and Neurology http://jgp.sagepub.com/content/early/2014/04/23/0891988714532018 The online version of this article can be found at: DOI: 10.1177/0891988714532018 published online 24 April 2014 J Geriatr Psychiatry Neurol Dina Silva, Manuela Guerreiro, Catarina Faria, João Maroco, Ben A. Schmand and Alexandre de Mendonça Significance of Subjective Memory Complaints in the Clinical Setting Published by: http://www.sagepublications.com can be found at: Journal of Geriatric Psychiatry and Neurology Additional services and information for http://jgp.sagepub.com/cgi/alerts Email Alerts: http://jgp.sagepub.com/subscriptions Subscriptions: http://www.sagepub.com/journalsReprints.nav Reprints: http://www.sagepub.com/journalsPermissions.nav Permissions: What is This? - Apr 24, 2014 OnlineFirst Version of Record >> by guest on May 2, 2014 jgp.sagepub.com Downloaded from by guest on May 2, 2014 jgp.sagepub.com Downloaded from

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Transcript of 2014_J Geriatr Psychiatry Neurol 2014

  • http://jgp.sagepub.com/Journal of Geriatric Psychiatry and Neurology

    http://jgp.sagepub.com/content/early/2014/04/23/0891988714532018The online version of this article can be found at:

    DOI: 10.1177/0891988714532018

    published online 24 April 2014J Geriatr Psychiatry NeurolDina Silva, Manuela Guerreiro, Catarina Faria, Joo Maroco, Ben A. Schmand and Alexandre de Mendona

    Significance of Subjective Memory Complaints in the Clinical Setting

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  • Research Investigation

    Significance of Subjective MemoryComplaints in the Clinical Setting

    Dina Silva, PhD1, Manuela Guerreiro, PhD1, Catarina Faria, MS2,Joao Maroco, PhD3, Ben A. Schmand, PhD4,and Alexandre de Mendonca, MD, PhD1,5

    Abstract

    Objective: The clinical significance of subjective memory complaints in the elderly participants, particularly regarding liability ofsubsequent progression to dementia, has been controversial. In the present study, we tested the hypothesis that severity or typeof subjective memory complaints reported by patients in a clinical setting may predict future conversion to dementia. Methods:A cohort of nondemented patients with cognitive complaints, followed up for at least 2 years or until conversion to dementia,underwent a neuropsychological evaluation and detailed assessment of memory difficulties with the Subjective MemoryComplaints (SMC) Scale. Results: At baseline, patients who converted to dementia (36.8%) had less years of formal educationand generally a worse performance in the neuropsychological assessment. There were no differences in the total SMC scorebetween nonconverters (9.5 + 4.2) and converters (8.9 + 4.0, a nonsignificant difference), but nonconverters scored higher inseveral items of the scale. Conclusion: For patients with cognitive complaints observed in a memory clinic setting, the severity ofsubjective memory complaints is not useful to predict future conversion to dementia.

    Keywords

    memory complaints, memory impairment, Subjective Memory Complaints Scale, clinical setting, Alzheimer disease, mild cognitiveimpairment

    Introduction

    The clinical significance of subjective memory complaints in

    the elderly participants, particularly regarding liability of sub-

    sequent progression to dementia, has been controversial. On

    one hand, memory complaints certainly represent an important

    symptom in clinical practice. The report of memory decline by

    patients or informants is part of the core diagnostic features for

    mild cognitive impairment (MCI) and Alzheimer disease.1-3

    On the other hand, memory complaints are very common in the

    general population. For instance, using a formal scale, the Sub-

    jective Memory Complaints (SMC) Scale4 as much as 75.9% ofpeople in the community report at least minor complaints when

    answering to the question Do you have any complaints con-

    cerning your memory?5 Studies with other populations (eg,

    Dutch population) have reported a lower percentage of memory

    complaints,6 possibly because of a social acquiescence bias of

    Portuguese to complain more about their memory.5

    It appears that the clinical significance of subjective mem-

    ory complaints in the elderly participants might depend, among

    other factors, upon the characteristics of participants and the

    settings where they are recruited. There might be an important

    difference between agreeing that one has some memory diffi-

    culties when directly questioned and actively seeking help for

    memory problems.7 In a recent study, participants in a clinical

    setting had more severe memory complaints and reported more

    often forgetting names of family members or friends than those

    in the community.8

    Regarding participants in the community, a meta-analysis of

    cross-sectional studies found that the presence of memory com-

    plaints was more frequent in patients with cognitive impairment

    than in cognitively normal elderly participants,9 although mem-

    ory complaints had modest diagnostic value to establish the pres-

    ence of MCI or dementia. Furthermore, subjective memory

    complaints may predict future cognitive decline as suggested

    by a systematic review of longitudinal studies performed in

    1 Dementia Clinics, Institute of Molecular Medicine and Faculty of Medicine,

    University of Lisbon, Portugal2 Universidade Lusofona de Humanidades e Tecnologias, Lisbon, Portugal3 Health and Psychology Research Unit, ISPA-IU, Lisbon, Portugal4 Faculty of Social and Behavioural Sciences, University of Amsterdam, the

    Netherlands5 Laboratory of Neurosciences, Institute of Molecular Medicine and Faculty of

    Medicine, University of Lisbon, Portugal

    Corresponding Author:

    Dina Silva, Laboratory of Neurosciences, Institute of Molecular Medicine,

    Av Prof Egas Moniz, 1649-028 Lisboa, Portugal.

    Email: [email protected]

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  • participants with normal baseline cognitive status.10 A recent

    community-based study found that participants with subjective

    memory complaints had a high risk of progression to dementia

    even if they had normal performance in memory tests.11

    In the clinical setting, it is not clear whether the severity or

    type of subjective memory complaints in nondemented patients

    might be associated with subsequent progression to dementia.

    Most longitudinal studies performed in patients with MCI just

    considered the presence of memory complaints at baseline as

    an entry criterion and did not analyze the severity or the type

    of memory complaints as a predictive factor for future conver-

    sion to dementia. In fact, in many of these studies, a single gen-

    eral question about memory difficulties and not a detailed

    formal scale was used.12 Several studies that analyzed in more

    detail, using appropriate scales, the memory complaints in

    patients with MCI as a predictive factor for future conversion

    to dementia generally found that the severity of memory com-

    plaints was not predictive.13-15

    It could be that specific memory complaints have different

    values as predictors of cognitive decline in the clinical setting.

    If true, then the type of complaints characterized in a self-report

    scale such as SMC would be determinant to identify high-risk

    patients and offer them a vigilant follow-up. One study per-

    formed in patients with MCI reported that a scale focused on

    the current level of cognitive function relative to the past func-

    tion could predict future decline.16 In this regard, the report of

    slower thinking than before (item 8 of SMC Scale) in our study

    could as well be prognostic of future decline. Likewise, general

    complaint about memory (item 1 of SMC Scale), which in pre-

    vious studies was shown to be more frequently reported in

    older people,5 might have a higher score in converters as a sign

    of patients insight about their cognitive difficulties.

    In the present study, we tested the hypothesis that the

    severity of subjective memory complaints or the presence of

    specific types of complaints may predict future conversion

    to dementia in a clinical setting. For this purpose, a detailed

    scale concerning difficulties in daily-life memory tasks, the

    SMC Scale, was used.

    Methods

    Research Participants

    Participants were selected from the Cognitive Complaints

    Cohort (CCC), established in a prospective study conducted

    at the Institute of Molecular Medicine, Lisbon, to investigate

    the cognitive stability or evolution to dementia in patients with

    cognitive complaints, based on a comprehensive neuropsycho-

    logical evaluation and other biomarkers. The CCC is consti-

    tuted of nondemented patients with cognitive complaints

    severe enough to be referred for a comprehensive neuropsycho-

    logical assessment during the period 1999 to 2007, at the par-

    ticipating institutions (Laboratory of Language, Faculty of

    Medicine of Lisbon; Memoclnica, a private memory clinic

    in Lisbon; and the Dementia Clinics, Hospitais da Universidade

    de Coimbra). More detailed information concerning CCC

    establishment was already published.17 The study was

    approved by the local ethics committee.

    Inclusion Criteria

    1. Subjective cognitive complaints;

    2. cognitive assessment with a comprehensive neuropsy-

    chological battery (including assessment of subjective

    memory complaints);

    3. follow-up 2 years (or less if conversion to dementiaoccurred sooner).

    Exclusion Criteria

    1. Patients with neurological (stroke, brain tumor, signifi-

    cant head trauma, and epilepsy) or psychiatric disorders

    that may induce cognitive deficits and patients with

    major depression according to Diagnostic and Statisti-

    cal Manual of Mental Disorders (Fourth Edition, Text

    Revision), DSM-IV-TR,18 were excluded;

    2. systemic illness with cerebral impact (uncontrolled

    hypertension, metabolic, endocrine, toxic or infectious

    diseases);

    3. history of alcohol abuse, recurrent substance abuse or

    dependence;

    4. presence of dementia according to DSM-IV-TR.18

    From the CCC of nondemented patients with cognitive

    complaints referred for neuropsychological examination,

    134 patients were selected according to the inclusion criteria,

    and from these 1 was excluded (severe head trauma previous

    to subjective memory complaints).

    Procedures

    The baseline comprehensive neuropsychological assessment

    was carried out by the same team of trained neuropsycholo-

    gists, supervised by MG, following a standard protocol and

    comprised several tests and scales:

    1. Battery of Lisbon for the Assessment of Dementia

    (BLAD)19,20: the BLAD is a comprehensive neuropsy-

    chological battery evaluating multiple cognitive

    domains. The results were standardized according to the

    age and education norms for the Portuguese population

    and z scores were calculated. This battery includes tests

    for the following cognitive domains: attention (Cancel-

    lation Task); verbal(Semantic Fluency), motor, and gra-

    phomotor initiatives; verbal comprehension (a modified

    version of the Token Test); verbal and nonverbal

    abstraction (Interpretation of Proverbs and the Raven

    Progressive MatricesAb series B); orientation (per-

    sonal, spatial, and temporal); visuoconstructional abil-

    ities (Cube Copy); planning and visuospatial/praxis

    abilities (Clock Draw); calculation (Basic Written Cal-

    culation); immediate memory (Digit Span forward;

    2 Journal of Geriatric Psychiatry and Neurology

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  • Wechsler Memory Scale [WMS]); visual memory

    (Visual Reproduction test; WMS); working memory

    (Digit Span backward; WMS); and learning and verbal

    memory (Verbal Paired-associate Learning, Logical

    Memory and Word Recall; WMS).

    2. Trail Making Test (TMT)21,22: The TMT part A mea-

    sures psychomotor speed and attention and part B

    assesses the ability to shift strategy, executive func-

    tions, and visual spatial working memory.

    3. Blessed Dementia Rating Scale (BDRS)23,24: the BDRS

    is a brief behavioral scale based on the interview of a

    close informant; the first part of the scale refers to daily

    life activities, the second part to habits, and the third

    part to changes in personality.

    4. Geriatric Depression Scale (GDS)25-27: the GDS is a

    self-report assessment used specifically to identify

    depression in the elderly individuals. For this study, a

    short form (15 items) of the self-report instrument was

    used.

    5. Subjective Memory Complaints Scale4,28 for the assess-

    ment of subjective memory complaints. Participants

    were required to answer 10 individual items concerning

    difficulties in daily life memory tasks, with total scores

    ranging from 0 (absence of complaints) to 21 (maximal

    complaints score). These items are considered represen-

    tative of common memory complaints.4

    In the present study, no alternative forms of neuropsycholo-

    gical tests were used, since the interval between assessments

    was long (approximately one year), minimizing any learning

    effects.

    Outcome

    Patients were assessed after a follow-up of at least 2 years or at

    time of conversion to dementia. Patients from CCC have

    annual clinical consultations at the participating institutions

    so it was therefore easier to schedule the reassessments.

    Patients who did not attend clinical consultations were con-

    tacted by telephone and invited to come to one of the participat-

    ing institutions to perform the same neuropsychological battery

    of baseline assessment.

    Whenever it was not possible to reevaluate the patient in

    person, an assessment was performed by a telephone call using

    2 validated telephone questionnaires to identify mild cognitive

    impairment (MCI) or dementia. We used the Telephone Inter-

    view for Cognitive Status that gathers information in the

    domains of orientation, concentration, short-term memory,

    mathematical skills, praxis, and language. The cutoff used for

    dementia was less than 31.29-31 The Dementia Questionnaire

    (DQ) was also used in cases of severe cognitive decline or

    died patients. The DQ is applied by telephone to caregivers

    allowing the diagnosis of dementia using the Diagnostic and

    Statistical Manual of Mental Disorders (Fourth Edition, Text

    Revision) criteria, and in some cases even to suggest the

    dementia subtype (Teixeira J, oral communication, GEECD,

    June 3, 2011).32,33 The diagnosis of dementia and Alzheimer

    disease was established according to the DSM-IV-TR18 cri-

    teria, in a consensus meeting with the neurologist and the

    neuropsychologists.

    Statistical Analysis

    Statistical analyses were performed using IBM SPSS Statistics

    19 for Windows (SPSS Inc, An IBM Company, Chicago, Illi-

    nois). Comparison of demographic and neuropsychological

    data in participants who were clinically stable or converted to

    dementia was done using Student t-test on quantitative vari-

    ables and the Fisher exact test on the qualitative nominal vari-

    ables. Comparison of the SMC total scores between converters

    and nonconverters was also performed with the Student t-test.

    A multivariate analysis of variance (MANOVA) using Pillais

    trace, which is robust to moderate departure of MANOVA

    assumptions, was used to test differences in SMC individual

    item scores between converters and nonconverters. A Logistic

    Regression (LR) analysis (Forward LR method) was also per-

    formed to evaluate the effects of age, formal education, depres-

    sive symptoms, and SMC on the risk of future conversion

    versus nonconversion to dementia. A P value .05 wasassumed as statistically significant.

    Results

    One hundred and thirty three participants (mean age 68.2 + 9.1)were followed for at least 2 years or until conversion to dementia

    (2.6 + 1.5 years for converters and 4.1 + 2.0 for nonconverters,a significant difference, Table 1). During the follow-up period,

    49 (36.8%) patients progressed to dementia and 84 (63.2%) didnot. Most patients who progressed to dementia were diagnosed

    as Alzheimer disease (80%). The converters had less years offormal education (Student t test, Table 1) and generally per-

    formed worse than nonconverters in the neuropsychological tests

    administered, with the exception of Cancellation Task, Clock

    Drawing Test, Trail Making Test (A and B), Motor and Grapho-

    motor Initiatives, Basic Written Calculation, Token Test, and

    Digit Span Forward (Student t test, Table 2). There were no sta-

    tistically significant differences in the total SMC score between

    nonconverters (9.5 + 4.2 [0-21]) and converters (8.9 + 4.0 [0-17]) at the baseline assessment (Student t test, Table 3). A Binary

    Logistic Regression analysis was performed to evaluate the

    effect of age, formal education, depressive symptoms, and SMC

    on the risk of future conversion to dementia. Higher education

    was associated with a lower risk of future conversion to demen-

    tia, b 0.0961; w2wald (1) 4.242; P 0.040; odds ratio (OR) 0.908, 95% confidence interval (CI) 0.829-0.995. Age,depressive symptoms, and SMC did not predict future conver-

    sion to dementia.

    Differences in individual SMC items between nonconver-

    ters and converters were analyzed with MANOVA, as reported

    in Table 3. The Pillai trace test indicated that there are overall

    significant differences in the converters versus nonconverters

    SMC individual items. (Pillai trace 0.17; F10 2.52;

    Silva et al 3

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  • P 0.009). Nonconverters scored higher than converters inseveral SMC items, namely, item 5 (Do you often use notes

    to avoid forgetting things?), item 6 (Do you ever have dif-

    ficulties in finding particular words?), and also tended to

    score higher in item 3 (Do you ever forget names of family

    members or friends?; Table 3).

    Discussion

    In the present study, performed in a clinical setting, we

    hypothesized that the severity or type of memory complaints

    could predict future conversion to dementia. The results

    showed that the severity of cognitive complaints was not

    Table 1. Baseline Demographic and Clinical Characterization Data.a

    Converters (n 49) Nonconverters (n 84) P Value

    Age, years, mean (SD) 69.9 (8.4) 67.3 (9.4) .11Gender, female/male, n 34/15 44/40 .07b

    Formal education, years, mean (SD) 8.1 (4.2) 10.6 (4.8)

  • predictive. This observation is in agreement with several stud-

    ies performed in a memory clinic setting.13-15

    In contrast to the initial hypothesis, patients who did not

    convert to dementia actually had higher scores on several

    items of SMC Scale (items 5 and 6, and also tended to score

    higher in item 3). It could be that memory complaints were

    more likely associated with depression than with an early

    stage of AD. However, converters and nonconverters did not

    differ at baseline regarding the presence of depressive symp-

    toms. On the other hand, converters showed more deficits in

    several areas of neuropsychological assessment, particularly

    learning and memory, although they did not differ from non-

    converters functionally at the baseline (as assessed by the

    BDRS). Patients with more pronounced cognitive deficits

    would be in a more advanced stage of the neurodegenerative

    disease and thus closer to a decline in functional status and

    conversion to dementia.34 Along the disease process, the

    insight that a patient has on his or her cognitive impairment

    is hindered.35,36 Probably patients deemed to convert tended

    to have less subjective complaints just because they already

    presented more alteration in insight.

    An important aspect is that converters and nonconverters

    did not differ at the baseline for important factors that could

    influence both conversion to dementia and perception of

    memory difficulties. Several longitudinal studies on progres-

    sion to dementia found that converters are older than noncon-

    verters at baseline,37-39 but in the present study, both groups

    were not significantly different. Depressive symptoms can

    be associated with subjective memory complaints;40,41 how-

    ever, as mentioned earlier, they were not significantly differ-

    ent in converters and nonconverters and were correlated with

    SMC both in converters and nonconverters (results not

    shown). In the present study, converters had less years of for-

    mal education. More educated patients were shown to decline

    less at early stages of MCI and to decline more at late stages of

    MCI as could be anticipated from the cognitive reserve the-

    ory.42 It is not clear at the moment whether education could

    influence the way patients recognize and report specific mem-

    ory complaints, an issue that should be addressed in future

    research. It should also be noted that the analysis of subjective

    memory complaints in the present study relied on the SMC

    Scale, and the results might not be generalizable to other

    instruments of memory complaints assessment. However, the

    SMC items were selected in such a way to be representative of

    common memory complaints.4

    A few other aspects deserve comment. A cohort of patients

    with cognitive complaints was established irrespective of hav-

    ing formal criteria for the diagnosis of MCI. This decision of

    not restricting the sample to patients with MCI was taken

    because several studies have shown that people with cognitive

    complaints and no alterations in the standard neuropsycholo-

    gical assessment might also be at risk of future conversion to

    dementia.43-45 In a previous longitudinal study from our

    group, some patients with cognitive complaints and no altera-

    tions in the standard neuropsychological assessment pro-

    gressed to dementia and interestingly, as a group, had a

    decline in hippocampal volumes.46 Anyway, most (82%) ofthe patients recruited in the present longitudinal study would

    fulfill the criteria for MCI,1 and the observed annualized con-

    version rate (14%) fits quite well the values previouslyreported for patients with MCI.47

    The clinical significance of subjective memory complaints

    in the elderly individuals likely depends upon the characteris-

    tics of participants and the settings where they are recruited.

    Table 3. Subjective Memory Complaints in Converters and Nonconverters to Dementia.a,b,c,d,e

    Converters(n 49)

    Nonconverters(n 84)

    StatisticalTestf

    StatisticalSignificancef

    Mean (SD) Mean (SD) F P Value

    1. Do you have any complaints concerning your memory? 2.00 (0.82) 2.00 (0.71)

  • In healthy people living in the community, subjective memory

    complaints may help predict future cognitive decline.10 Like-

    wise, in a general practice consultation population, the pres-

    ence of memory complaints was reported to be a significant

    independent predictor for subsequent hospital-based dementia

    diagnosis.48 On the other hand, the present study shows that

    in a memory clinic setting, where patients with cognitive com-

    plaints have a higher risk of future conversion to dementia, the

    severity of subjective memory complaints is no longer useful to

    predict outcome. Even so, the use of scales to assess subjective

    cognitive complaints may be important for the characterization

    of the perceived difficulties and the planning of a comprehen-

    sive rehabilitation strategy.

    Acknowledgments

    The authors thank Memoclnica for the facilities provided.

    Declaration of Conflicting Interests

    The author(s) declared no potential conflicts of interest with respect to

    the research, authorship, and/or publication of this article.

    Funding

    The author(s) disclosed receipt of the following financial support for the

    research, authorship, and/or publication of this article: This work was

    supported by Fundacao para a Ciencia e Tecnologia (grant number:

    PTDC/EIA-EIA/111239/2009).

    References

    1. Portet F, Ousset PJ, Visser PJ, et al. Mild cognitive impairment

    (MCI) in medical practice: a critical review of the concept and

    new diagnostic procedure. Report of the MCI working group of

    the European Consortium on Alzheimers disease. J Neurol Neu-

    rosurg Psychiatry. 2006;77(6):714-718. http://dx.doi.org/10.

    1136/jnnp.2005.085332.

    2. Dubois B, Feldman HH, Jacova C, et al. Research criteria for the

    diagnosis of Alzheimers disease: revising the NINCDS-ADRDA

    criteria. Lancet Neurol. 2007;6(8):734-746. http://dx.doi.org/10.

    1016/S1474-4422(07)70178-3.

    3. Albert MS, DeKosky ST, Dickson D, et al. The diagnosis of mild

    cognitive impairment due to Alzheimers disease: recommenda-

    tions from the National institute on aging-Alzheimers association

    workgroups on diagnostic guidelines for Alzheimers disease.

    Alzheimers Dement. 2011;7(3):270-279. http://dx.doi.org/10.

    1016/j.jalz.2011.03.008.

    4. Schmand B, Jonker C, Hooijer C, Lindeboom J. Subjective mem-

    ory complaints may announce dementia. Neurology. 1996;46(1):

    121-125. http://dx.doi.org/10.1212/WNL.46.1.121.

    5. Gino S, Mendes T, Maroco J, Ribeiro F, Schmand B.A., et al.

    Memory complaints are frequent but qualitatively different in

    young and elderly healthy people. Gerontology. 2010;56(3):

    272-277. http://dx.doi.org/10.1159/000240048.

    6. Ponds RW, Commissaris KJ, Jolles J. Prevalence and covari-

    ates of subjective forgetfulness in a normal population in The

    Netherlands. Int J Aging Hum Dev. 1997;45(3):207-221. http://dx.

    doi.org/10.2190/MVQ1-WB58-875H-Y4X0.

    7. Stewart R. Subjective cognitive impairment. Curr Opin Psychia-

    try. 2012;25(6):445-450. http://dx.doi.org/10.1097/YCO.0b013

    e3283586fd8.

    8. Pires C, Silva D, Maroco J, et al. Memory complaints associated

    with seeking clinical care. Int J Alzheimers Dis. 2012;2012:

    725329. http://dx.doi.org/10.1155/2012/725329.

    9. Mitchell AJ. The clinical significance of subjective memory com-

    plaints in the diagnosis of mild cognitive impairment and demen-

    tia: a meta-analysis. Int J Geriatr Psychiatry. 2008;23(11):

    1191-1202. http://dx.doi.org/10.1002/gps.2053.

    10. Reid LM, Maclullich AM. Subjective memory complaints and cog-

    nitive impairment in older people. Dement Geriatr Cogn Disord.

    2006;22(5-6):471-485. http://dx.doi.org/10.1159/000096295.

    11. Jessen F, Wolfsgruber S, Wiese B, et al. AD dementia risk in late

    MCI, in early MCI, and in subjective memory impairment. Alzhei-

    mers Dement. 2014;10(1):76-83. http://dx.doi.org/10.1016/j.jalz.

    2012.09.017.

    12. Abdulrab K, Heun R. Subjective Memory Impairment. A review

    of its definitions indicates the need for a comprehensive set of

    standardised and validated criteria. Eur Psychiatry. 2008;23(5):

    321-330. http://dx.doi.org/10.1016/j.eurpsy.2008.02.004.

    13. Amieva H, Letenneur L, Dartigues JF, et al. Annual rate and

    predictors of conversion to dementia in subjects presenting mild

    cognitive impairment criteria defined according to a population-

    based study. Dement Geriatr Cogn Disord. 2004;18(1):87-93.

    http://dx.doi.org/10.1159/000077815.

    14. Devier DJ, Villemarette-Pittman N, Brown P, et al. Predictive

    utility of type and duration of symptoms at initial presentation

    in patients with mild cognitive impairment. Dement Geriatr Cogn

    Disord. 2010;30(3):238-244. doi: 10.1159/000320137.

    15. Perri R, Zannino GD, Caltagirone C, Carlesimo GA. Semantic

    priming for coordinate distant concepts in Alzheimers disease

    patients. Neuropsychologia. 2011;49(5):839-847. http://dx.doi.

    org/10.1016/j.neuropsychologia.2011.02.035.

    16. Crowe M, Andel R, Wadley V, et al. Subjective cognitive function

    and decline among older adults with psychometrically defined

    amnestic MCI. Int J Geriatr Psychiatry. 2006;21(12):1187-1192.

    http://dx.doi.org/10.1002/gps.1639.

    17. Maroco J, Silva D, Rodrigues A, Guerreiro M, Santana I, de

    Mendonca A. A Data mining methods in the prediction of Demen-

    tia: A real-data comparison of the accuracy, sensitivity and speci-

    ficity of linear discriminant analysis, logistic regression, neural

    networks, support vector machines, classification trees and ran-

    dom forests. BMC Res Notes. 2011;4:299. http://dx.doi.org/10.

    1186/1756-0500-4-299.

    18. American Psychiatric Association, Task Force on DSM-IV. Diag-

    nostic and Statistical Manual of Mental Disorders: DSM-IV-TR.

    4th ed. Washington, DC: American Psychiatric Association; 2000.

    19. Garcia C. Doenca de Alzheimer, problemas do diagnostico cln-

    ico. Lisboa, Portugal: Faculdade de Medicina de Lisboa; 1984.

    20. Guerreiro M. Contributo da Neuropsicologia para o Estudo das

    Demencias. Lisboa, Portugal: Faculdade de Medicina de Lisboa;

    1998.

    21. Reitan RM. Validity of the trail making test as an indicator of

    organic brain damage. Percept Mot Skills. 1958;8:271-286.

    http://dx.doi.org/10.2466/pms.1958.8.3.271.

    6 Journal of Geriatric Psychiatry and Neurology

    by guest on May 2, 2014jgp.sagepub.comDownloaded from

    http://dx.doi.org/10.1136/jnnp.2005.085332http://dx.doi.org/10.1136/jnnp.2005.085332http://dx.doi.org/10.1016/S1474-4422(07)70178-3http://dx.doi.org/10.1016/S1474-4422(07)70178-3http://dx.doi.org/10.1016/j.jalz.2011.03.008http://dx.doi.org/10.1016/j.jalz.2011.03.008http://dx.doi.org/10.1212/WNL.46.1.121http://dx.doi.org/10.1159/000240048http://dx.doi.org/10.2190/MVQ1-WB58-875H-Y4X0http://dx.doi.org/10.2190/MVQ1-WB58-875H-Y4X0http://dx.doi.org/10.1097/YCO.0b013e3283586fd8http://dx.doi.org/10.1097/YCO.0b013e3283586fd8http://dx.doi.org/10.1155/2012/725329http://dx.doi.org/10.1002/gps.2053http://dx.doi.org/10.1159/000096295http://dx.doi.org/10.1016/j.jalz.2012.09.017http://dx.doi.org/10.1016/j.jalz.2012.09.017http://dx.doi.org/10.1016/j.eurpsy.2008.02.004http://dx.doi.org/10.1159/000077815http://dx.doi.org/10.1016/j.neuropsychologia.2011.02.035http://dx.doi.org/10.1016/j.neuropsychologia.2011.02.035http://dx.doi.org/10.1002/gps.1639http://dx.doi.org/10.1186/1756-0500-4-299http://dx.doi.org/10.1186/1756-0500-4-299http://dx.doi.org/10.2466/pms.1958.8.3.271http://jgp.sagepub.com/

  • 22. Cavaco S, Goncalves A, Pinto C, et al. Trail making test:

    regression-based norms for the Portuguese population. Arch Clin

    Neuropsychol. 2013;28(2):189-198. doi: 10.1093/arclin/acs115.

    23. Blessed G, Tomlinson BE, Roth M. Association between quantia-

    tive measures of Dementia and of Senile change in cerebral grey

    matter of elderly subjects. Br J Psychiatry. 1968;114(512):

    797-811. http://dx.doi.org/10.1192/bjp.114.512.797.

    24. Garcia C. Blessed Dementia Rating Scale (BDRS) In: Mendonca

    Ad, Guerreiro M, eds. Escalas e Testes na Demencia. 2 ed. Lis-

    bon: Grupo de Estudos de Envelhecimento Cerebral e Demencia;

    2008: 105-106.

    25. Yesavage JA, Brink TL, Rose TL, et al. Development and valida-

    tion of a geriatric depression screening scale: a preliminary report.

    J Psychiatr Res. 1982;17(1):37-49. http://dx.doi.org/10.1016/

    0022-3956(82)90033-4.

    26. Sheikh JI, Yesavage JA.Geriatric depression scale (GDS): Recent

    evidence and development of a shorter version. In: Brink TL, ed.

    Clinical Gerontology: A Guide to Assessment and Intervention.

    New York: The Haworth Press Inc.; 1986:165-173.

    27. Barreto J, Leuschner A, Santos F, Sobral M. Geriatric Depression

    Scale (GDS). 2 ed. Lisbon: Grupo de Estudos de Envelhecimento

    Cerebral e Demencia; 2008.

    28. Gino S, Guerreiro M, Garcia C. Subjective memory complaints

    (QSM). In: Mendonca Ad, Guerreiro M, eds. Escalas e Testes

    na Demencia. 2 ed. Lisbon: Grupo de Estudos de Envelhecimento

    Cerebral e Demencia; 2008:117-120.

    29. Brandt J, Folstein SE, Folstein MF. Differential cognitive impair-

    ment in Alzheimers disease and Huntingtons disease. Ann Neurol.

    1988;23(6):555-561. http://dx.doi.org/10.1002/ana.410230605.

    30. Madureira S, Verdelho A, Ferro J, et al. Development of a

    neuropsychological battery for the Leukoaraiosis and disability

    in the elderly study (LADIS): experience and baseline data.

    Neuroepidemiology. 2006;27(2):101-116. http://dx.doi.org/10.

    1159/000095381.

    31. van Uffelen JG, Chin APMJ, Klein M, van Mechelen W, Hopman-

    Rock M. Detection of memory impairment in the general popu-

    lation: screening by questionnaire and telephone compared to

    subsequent face-to-face assessment. Int J Geriatr Psychiatry.

    2007;22(3):203-210. http://dx.doi.org/10.1002/gps.1661.

    32. Silverman JM, Breitner JC, Mohs RC, Davis KL. Reliability of the

    family history method in genetic studies of Alzheimers disease and

    related dementias. Am J Psychiatry. 1986;143(10):1279-1282.

    http://dx.doi.org/10.1097/00002093-198701030-00013.

    33. Kawas C, Segal J, Stewart WF, Corrada M, Thal LJ. A validation

    study of the dementia questionnaire. Arch Neurol. 1994;51(9):

    901-906. http://dx.doi.org/10.1001/archneur.1994.00540210073015.

    34. Gomar JJ, Bobes-Bascaran MT, Conejero-Goldberg C, Davies P,

    Goldberg TE, Alzheimers Disease Neuroimaging Initiative. Util-

    ity of combinations of biomarkers, cognitive markers, and risk

    factors to predict conversion from mild cognitive impairment to

    Alzheimer disease in patients in the Alzheimers disease neuroi-

    maging initiative. Arch Gen Psychiatry. 2011;68(9):961-969.

    http://dx.doi.org/10.1001/archgenpsychiatry.2011.96.

    35. Vogel A, Stokholm J, Gade A, Andersen BB, Hejl AM, Waldemar G.

    Awareness of deficits in mild cognitive impairment and Alzheimers

    disease: do MCI patients have impaired insight? Dement Geriatr

    Cogn Disord. 2004;17(3):181-187. http://dx.doi.org/10.1159/

    000076354.

    36. Orfei MD, Varsi AE, Blundo C, et al. Anosognosia in mild

    cognitive impairment and mild Alzheimers disease: frequency

    and neuropsychological correlates. Am J Geriatr Psychiatry.

    2010;18(12):1133-1140. http://dx.doi.org/10.1097/JGP.0b013e

    3181dd1c50.

    37. Lindsay J, Laurin D, Verreault R, et al. Risk factors for Alzheimers

    disease: a prospective analysis from the Canadian study of health

    and aging. Am J Epidemiol. 2002;156(5):445-453. http://dx.doi.

    org/10.1093/aje/kwf074.

    38. Ramakers IH, Visser PJ, Aalten P, et al. The predictive value of

    memory strategies for Alzheimers disease in subjects with mild

    cognitive impairment. Arch Clin Neuropsychol. 2010;25(1):

    71-77. http://dx.doi.org/10.1093/arclin/acp093.

    39. Silva D, Guerreiro M, Maroco J, et al. Comparison of four verbal

    memory tests for the diagnosis and predictive value of mild cog-

    nitive impairment. Dement Geriatr Cogn Dis Extra. 2012;2:

    120-131. http://dx.doi.org/10.1159/000336224.

    40. Balash Y, Mordechovich M, Shabtai H, Giladi N, Gurevich T,

    Korczyn AD. Subjective memory complaints in elders: depres-

    sion, anxiety, or cognitive decline? Acta Neurol Scand. 2013;

    127(5):344-350. http://dx.doi.org/10.1111/ane.12038.

    41. Kizilbash AH, Vanderploeg RD, Curtiss G. The effects of

    depression and anxiety on memory performance. Arch Clin Neu-

    ropsychol. 2002;17(1):57-67. http://dx.doi.org/10.1093/arclin/

    17.1.57.

    42. Ye BS, Seo SW, Yan J, et al. Effects of education on the progres-

    sion of early- versus late-stage mild cognitive impairment. Int

    Psychogeriatr. 2013;25(4):597-606. doi: 10.1111/ene.12251.

    43. Dik MG, Jonker C, Comijs HC, et al. Memory complaints and

    APOE-epsilon4 accelerate cognitive decline in cognitively nor-

    mal elderly. Neurology. 2001;57(12):2217-2222. http://dx.doi.

    org/10.1212/WNL.57.12.2217.

    44. van Oijen M, de Jong FJ, Hofman A, Koudstaal PJ, Breteler

    MM. Subjective memory complaints, education, and risk of

    Alzheimers disease. Alzheimers Dement. 2007;3(2):92-97.

    http://dx.doi.org/10.1016/j.jalz.2007.01.011.

    45. Koepsell TD, Monsell SE. Reversion from mild cognitive impair-

    ment to normal or near-normal cognition: risk factors and prog-

    nosis. Neurology. 2012;79(15):1591-1598. http://dx.doi.org/10.

    1212/WNL.0b013e31826e26b7.

    46. Nunes T, Fragata I, Ribeiro F, et al. The outcome of elderly

    patients with cognitive complaints but normal neuropsychological

    tests. J Alzheimers Dis. 2010;19(1):137-145. doi:10.3233/JAD-

    2010-1210.

    47. Ward A, Tardiff S, Dye C, Arrighi HM. Rate of conversion from

    prodromal Alzheimers disease to Alzheimers dementia: a sys-

    tematic review of the literature. Dement Geriatr Cogn Dis Extra.

    2013;3(1):320-332. doi: 10.1159/000354370.

    48. Waldorff FB, Siersma V, Vogel A, Waldemar G. Subjective

    memory complaints in general practice predicts future dementia:

    a 4-year follow-up study. Int J Geriatr Psychiatry. 2012;27(11):

    1180-1188. http://dx.doi.org/10.1002/gps.3765.

    Silva et al 7

    by guest on May 2, 2014jgp.sagepub.comDownloaded from

    http://dx.doi.org/10.1192/bjp.114.512.797http://dx.doi.org/10.1016/0022-3956(82)90033-4http://dx.doi.org/10.1016/0022-3956(82)90033-4http://dx.doi.org/10.1002/ana.410230605http://dx.doi.org/10.1159/000095381http://dx.doi.org/10.1159/000095381http://dx.doi.org/10.1002/gps.1661http://dx.doi.org/10.1097/00002093-198701030-00013http://dx.doi.org/10.1001/archneur.1994.00540210073015http://dx.doi.org/10.1001/archgenpsychiatry.2011.96http://dx.doi.org/10.1159/000076354http://dx.doi.org/10.1159/000076354http://dx.doi.org/10.1097/JGP.0b013e3181dd1c50http://dx.doi.org/10.1097/JGP.0b013e3181dd1c50http://dx.doi.org/10.1093/aje/kwf074http://dx.doi.org/10.1093/aje/kwf074http://dx.doi.org/10.1093/arclin/acp093http://dx.doi.org/10.1159/000336224http://dx.doi.org/10.1111/ane.12038http://dx.doi.org/10.1093/arclin/17.1.57http://dx.doi.org/10.1093/arclin/17.1.57http://dx.doi.org/10.1212/WNL.57.12.2217http://dx.doi.org/10.1212/WNL.57.12.2217http://dx.doi.org/10.1016/j.jalz.2007.01.011http://dx.doi.org/10.1212/WNL.0b013e31826e26b7http://dx.doi.org/10.1212/WNL.0b013e31826e26b7http://dx.doi.org/10.1002/gps.3765http://jgp.sagepub.com/

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