Characteristics of elderly who develop Alzheimer's disease during the next two years-a neuropsychological study using CAMCOG. The Odense Study

Dementia risk in the general population: large-scale external validation of prediction models in the AGES-Reykjavik study

We aimed to evaluate the external performance of prediction models for all-cause dementia or AD in the general population, which can aid selection of high-risk individuals for clinical trials and prevention. We identified 17 out of 36 eligible published prognostic models for external validation in the population-based AGES-Reykjavik Study. Predictive performance was assessed with c statistics and calibration plots. All five models with a c statistic > .75 (.76-.81) contained cognitive testing as a predictor, while all models with lower c statistics (.67-.75) did not. Calibration ranged from good to poor across all models, including systematic risk overestimation or overestimation for particularly the highest risk group. Models that overestimate risk may be acceptable for exclusion purposes, but lack the ability to accurately identify individuals at higher dementia risk. Both updating existing models or developing new models aimed at identifying high-risk individuals, as well as more external validation studies of dementia prediction models are warranted.

Differences in performance in CAMCOG-R domains between old and oldest old patients with Alzheimer's disease

The purpose of this study is to evaluate the neuropsychological performance in a ≥90-year-old population with Alzheimer disease (AD) in comparison with younger elderly patients. We retrospectively studied all patients with AD attended in a specialized clinic between 1999 and 2011. Age, sex, educational level, and sensory loss data were collected. Neuropsychological evaluation included Mini-Mental State Examination and Global Deterioration Scale. We used the eight Cambridge Cognitive Assessment (CAMCOG-R) domains to evaluate and compare the neuropsychological performance in the younger than 90 years old (<90) and older than 90 years old (≥90) groups. We selected 2931 patients, 2897 <90 (98.83%) and 34 ≥90 years old (1.17%). The ≥90 group had significant lower punctuations in memory, praxis, and abstract thinking CAMOCG-R domains with 1.49, 0.75, and 0.58 less points, respectively, (p < 0.05). Neuropsychological characteristics of cognitive decline seem to be different in ≥90 compared to <90 years old patients. According to age, the biggest differences in the CAMCOG-R performance are in the memory, praxis, and abstract thinking domains.

Usefulness of data from magnetic resonance imaging to improve prediction of dementia: population based cohort study

OBJECTIVE

To determine whether the addition of data derived from magnetic resonance imaging (MRI) of the brain to a model incorporating conventional risk variables improves prediction of dementia over 10 years of follow-up.

DESIGN

Population based cohort study of individuals aged ≥ 65.

SETTING

The Dijon magnetic resonance imaging study cohort from the Three-City Study, France.

PARTICIPANTS

1721 people without dementia who underwent an MRI scan at baseline and with known dementia status over 10 years' follow-up.

MAIN OUTCOME MEASURE

Incident dementia (all cause and Alzheimer's disease).

RESULTS

During 10 years of follow-up, there were 119 confirmed cases of dementia, 84 of which were Alzheimer's disease. The conventional risk model incorporated age, sex, education, cognition, physical function, lifestyle (smoking, alcohol use), health (cardiovascular disease, diabetes, systolic blood pressure), and the apolipoprotein genotype (C statistic for discrimination performance was 0.77, 95% confidence interval 0.71 to 0.82). No significant differences were observed in the discrimination performance of the conventional risk model compared with models incorporating data from MRI including white matter lesion volume (C statistic 0.77, 95% confidence interval 0.72 to 0.82; P=0.48 for difference of C statistics), brain volume (0.77, 0.72 to 0.82; P=0.60), hippocampal volume (0.79, 0.74 to 0.84; P=0.07), or all three variables combined (0.79, 0.75 to 0.84; P=0.05). Inclusion of hippocampal volume or all three MRI variables combined in the conventional model did, however, lead to significant improvement in reclassification measured by using the integrated discrimination improvement index (P=0.03 and P=0.04) and showed increased net benefit in decision curve analysis. Similar results were observed when the outcome was restricted to Alzheimer's disease.

CONCLUSIONS

Data from MRI do not significantly improve discrimination performance in prediction of all cause dementia beyond a model incorporating demographic, cognitive, health, lifestyle, physical function, and genetic data. There were, however, statistical improvements in reclassification, prognostic separation, and some evidence of clinical utility.

The trajectory of cognitive decline in the pre-dementia phase in memory clinic visitors: findings from the 4C-MCI study

BACKGROUND

We investigated the course of decline in multiple cognitive domains in non-demented subjects from a memory clinic setting, and compared pattern, onset and magnitude of decline between subjects who progressed to Alzheimer's disease (AD) dementia at follow-up and subjects who did not progress.

METHOD

In this retrospective cohort study 819 consecutive non-demented patients who visited the memory clinics in Maastricht or Amsterdam between 1987 and 2010 were followed until they became demented or for a maximum of 10 years (range 0.5-10 years). Differences in trajectories of episodic memory, executive functioning, verbal fluency, and information processing speed/attention between converters to AD dementia and subjects remaining non-demented were compared by means of random effects modelling.

RESULTS

The cognitive performance of converters and non-converters could already be differentiated seven (episodic memory) to three (verbal fluency and executive functioning) years prior to dementia diagnosis. Converters declined in these three domains, while non-converters remained stable on episodic memory and executive functioning and showed modest decline in verbal fluency. There was no evidence of decline in information processing speed/attention in either group.

CONCLUSIONS

Differences in cognitive performance between converters to AD dementia and subjects remaining non-demented could be established 7 years prior to diagnosis for episodic memory, with verbal fluency and executive functioning following several years later. Therefore, in addition to early episodic memory decline, decline in executive functions may also flag incident AD dementia. By contrast, change in information processing speed/attention seems less informative.

Age Group Differences in Positive and Negative Affect among Oldest-Old Adults: Findings from the Georgia Centenarian Study

Objectives.

The developmental adaptation model (Martin & Martin, 2002) provides insights into how current experiences and resources (proximal variables) and past experiences (distal variables) are correlated with outcomes (e.g., well-being) in later life. Applying this model, the current study examined proximal and distal variables associated with positive and negative affect in oldest-old adults, investigating age differences.

Methods.

Data from 306 octogenarians and centenarians who participated in Phase III of the Georgia Centenarian Study were used. Proximal variables included physical functioning, cognitive functioning, self-rated health, number of chronic conditions, social resources, and perceived economic status; distal variables included education, social productive activities, management of personal assets, and other learning experiences. Analysis of variance and block-wise regression analyses were conducted.

Results.

Octogenarians showed significantly higher levels of positive emotion than centenarians. Cognitive functioning was significantly associated with positive affect, and number of health problems was significantly associated with negative affect after controlling for gender, ethnicity, residence, and marital status. Furthermore, four significant interaction effects suggested that positive affect significantly depended on the levels of cognitive and physical functioning among centenarians, whereas positive affect was dependent on the levels of physical health problems and learning experiences among octogenarians.

Conclusion.

Findings of this study addressed the importance of current and past experiences and resources in subjective well-being among oldest-old adults as a life-long process. Mechanisms connecting aging processes at the end of a long life to subjective well-being should be explored in future studies.

Relationship between education and dementia: an updated systematic review

OBJECTIVE

The purpose of this study was to review the relationship between education and dementia.

METHODS

A systematic literature review was conducted of all published studies examining the relationship between education and dementia listed in the PubMed and PsycINFO databases from January 1985 to July 2010. The inclusion criteria were a measure of education and a dementia diagnosis by a standardized diagnostic procedure. Alzheimer disease and Total Dementia were the outcomes.

RESULTS

A total of 88 study populations from 71 studies met inclusion criteria. Overall, 51 studies (58%) reported significant effects of lower education on risk for dementia, whereas 37 studies (42%) reported no significant relationship. A relationship between education and risk for dementia was more consistent in developed regions compared with developing regions. Age, sex, race/ethnicity, and geographical region moderated the relationship.

CONCLUSIONS

Lower education was associated with a greater risk for dementia in many but not all studies. The level of education associated with risk for dementia varied by study population and more years of education did not uniformly attenuate the risk for dementia. It seemed that a more consistent relationship with dementia occurred when years of education reflected cognitive capacity, suggesting that the effect of education on risk for dementia may be best evaluated within the context of a lifespan developmental model.

Predictors of cognitive decline in Alzheimer's disease and mild cognitive impairment using the CAMCOG: a five-year follow-up

BACKGROUND

There are discrepant findings regarding which subscales of the Cambridge Cognitive Examination (CAMCOG) are able to predict cognitive decline. The study aimed to identify the baseline CAMCOG subscales that can discriminate between patients and predict cognitive decline in Alzheimer's disease (AD) and mild cognitive impairment (MCI).

METHODS

This was a five-year case-control study of patients with cognitive impairment and a control group. Participants were grouped into AD (n = 121), MCI converted to dementia (MCI-Ad, n = 43), MCI-stable (MCI-St, n = 66), and controls (CTR, n = 112). Differences in the mean scores obtained by the four groups were examined. Receiver operating characteristic curves were used to compare subscale scores in the AD and MCI-Ad groups with those of controls. The influence of age, gender, schooling, and depression on baseline subscale scores was assessed.

RESULTS

Of the CAMCOG subscales, Orientation and Memory (learning and recent) (OR + MEM) showed the highest discriminant capacity in the baseline analysis of the four groups. This baseline analysis indicated that OR + MEM was the best predictor of conversion to AD in the MCI-Ad group (area under the curve, AUC = 0.81), whereas the predictive capacity of the global MMSE and CAMCOG scores was poor (AUC = 0.59 and 0.53, respectively).

CONCLUSIONS

In the baseline analysis, the Orientation and Memory (learning and recent) subscales showed the highest discriminant and predictive capacity as regards both cognitive decline in the AD group and conversion to AD among MCI-Ad patients. This was not affected by age, gender, schooling, or depression.

The role of neuropsychology in prodromal dementia

SUMMARY Before dementia becomes manifest, it is preceded by a long period during which neuropathology exists without clinical symptoms, termed the prodromal stage of dementia (ProD). Owing to its relevance for clinical and research aspects, many efforts are being made to define, diagnose and investigate ProD in greater detail. The ProD state has often been studied in Alzheimer’s disease (AD), whereas less is known about the prodromes of the vascular, extrapyramidal and frontotemporal dementias. Since the operational criteria of ProD are unclear, many studies act on the assumption that ProD and mild cognitive impairment are equivalent concepts. However, owing to several methodological problems with the mild cognitive impairment construct, the viewpoint taken here is that ProD can be understood more profoundly in cohorts of normal elderly subjects. This article discusses the neuropsychological findings of longitudinal, population-based studies, which included elderly, normal subjects, who were followed for years, and made case–control comparisons. Neuropsychological findings clearly revealed deficits in cases (subjects who developed dementia later, mostly AD), which were present already at baseline. Cognitive abnormalities were apparent in the domains of episodic memory, but also in tasks tapping executive, psychomotor and visuospatial functions, attention and naming. Although subtle, these impairments were significant at the group level and often demonstrated deterioration to dementia. Early cognitive deficits of the ProD stage therefore represent markers for the identification of incident AD. It is concluded that neuropsychology is a useful method to screen subjects for ProD at an early time point, when individuals are still normally functioning.

Capacity of the Catalan and Spanish versions of the Bilingual Aphasia Test to distinguish between healthy aging, mild cognitive impairment and Alzheimer's disease

This study analysed the capacity of the Catalan and Spanish versions of the Bilingual Aphasia Test (BAT) to distinguish between normal and pathological aging. Both versions of the test were administered to 45 bilingual subjects: 15 healthy aging subjects, 15 patients with mild cognitive impairment and 15 patients with Alzheimer's disease. To explore which combination of subtests was best suited to differentiate the three study groups, stepwise discriminant analyses were performed using each version of the Bilingual Aphasia Test separately and together. The percentages of properly classified subjects were as follows: 93.3% when the Spanish version was administered, 88.9% when the Catalan version was administered and 95.6% when both versions were used. The subtests that best classified the subjects were of the lexical-semantic type but also related to metalinguistic capacity and language organisation skills. The performance of each group in Catalan and Spanish was more similar than different.

Can the CAMCOG be a good cognitive test for patients with Alzheimer's disease with low levels of education?

BACKGROUND

The Cambridge Cognitive Examination (CAMCOG) is a useful test in screening for Alzheimer's disease (AD). However, the interpretation of CAMCOG cut-off scores is problematic and reference values are needed for different educational strata. Given the importance of earlier diagnoses of mild dementia, new cut-off values are required which take into account patients with low levels of education. This study aims to evaluate whether the CAMCOG can be used as an accurate screening test among AD patients and normal controls with different educational levels.

METHODS

Cross-sectional assessment was undertaken of 113 AD and 208 elderly controls with heterogeneous educational levels (group 1: 1-4 years; group 2: 5-8 years; and group 3: ≥ 9 years) from a geriatric clinic. submitted to a thorough diagnostic evaluation for AD including the Cambridge Examination for Mental Disorders of the Elderly (CAMDEX). Controls had no cognitive or mood complaints. Sensitivity (SE) and specificity (SP) for the CAMCOG in each educational group was assessed with receiver-operator-characteristic (ROC) curves.

RESULTS

CAMCOG mean values were lower when education was reduced in both diagnostic groups (controls - group 1: 87; group 2: 91; group 3: 96; AD - group 1: 63; group 2: 62; group 3: 77). Cut-off scores for the three education groups were 79, 80 and 90, respectively. SE and SP varied among the groups (group 1: 88.1% and 83.5%; group 2: 84.6% and 96%; group 3: 70.8% and 90%).

CONCLUSION

The CAMCOG can be used as a cognitive test for patients with low educational level with good accuracy. Patients with higher education showed lower scores than previously reported.

Detecting prodromal Alzheimer's disease in mild cognitive impairment: utility of the CAMCOG and other neuropsychological predictors

BACKGROUND

The Cambridge cognitive examination (CAMCOG) is a mini neuropsychological battery which is well established and widely used. The utility of the CAMCOG in detecting prodromal Alzheimer's disease (AD) in patients with mild cognitive impairment (MCI) has not been determined. The objectives of this study are: to establish which subtests of cognitive domains contained within the CAMCOG are predictive of conversion to AD, to compare these with an extended version of the delayed word recall (DWR) test and to establish optimal cut points for all measures used.

METHODS

182 patients with MCI were identified from consecutive referrals to a memory clinic. Logistic regression, cox regression and receiver operating characteristic curve (ROC) analyses were conducted.

RESULTS

The DWR displayed the best sensitivity (77%) and specificity (76%). The composite memory score contained within the CAMCOG achieved similar sensitivity (78%) and specificity (74%). The recognition component of the extended DWR demonstrated good specificity (85%) but poor sensitivity (57%). The optimal predictive model combined category fluency with the DWR and achieved predictive accuracy of 83%.

CONCLUSION

The DWR, which is a test specifically designed to have high predictive accuracy for AD, performed best. The composite measure of memory contained within the CAMCOG performed similarly well. The DWR has the advantage of being brief, easy to administer and suitable for use in non-specialist settings. The CAMCOG takes longer to administer but provides information regarding additional cognitive domains and is sensitive to change over time. Category fluency may be usefully combined with the DWR to improve predictive accuracy.

Three sides of the same coin: measuring global cognitive impairment with the MMSE, ADAS-cog and CAMCOG

OBJECTIVE

The total scores of the ADAS-cog, MMSE and CAMCOG, comprising various cognitive tasks, are widely used to measure a dimension of global cognitive impairment. It is unknown, however, whether this dimension is common to these instruments. This hampers comparisons when either of these instruments is used. The extent to which these instruments share a common dimension of global cognitive impairment and how their scores relate was examined.

METHODS

Rasch analysis of CAMCOG and MMSE data of participants from a population based study and two memory clinics pooled with ADAS-cog and MMSE data of participants from three RCTs (overall N = 1566) to estimate a common dimension of global cognitive impairment and to examine the goodness of fit of the individual items to this dimension.

RESULTS

Using the estimated common dimension of global cognitive impairment, the total scores of the instruments could be related, e.g. a mean level of global cognitive impairment corresponded to a predicted score of 11.4 (ADAS-cog), 72.6 (CAMCOG) and 22.2 (MMSE). When revised according to The Rasch validity analyses, every individual item could be fitted to the dimension.

CONCLUSIONS

The MMSE, ADAS-cog and CAMCOG reflect a valid common dimension of global cognitive impairment, which enables comparisons of RCTs that use the ADAS-cog and observational studies that use the CAMCOG and MMSE.

Dementia risk prediction in the population: are screening models accurate?

Early identification of individuals at risk of dementia will become crucial when effective preventative strategies for this condition are developed. Various dementia prediction models have been proposed, including clinic-based criteria for mild cognitive impairment, and more-broadly constructed algorithms, which synthesize information from known dementia risk factors, such as poor cognition and health. Knowledge of the predictive accuracy of such models will be important if they are to be used in daily clinical practice or to screen the entire older population (individuals aged >or=65 years). This article presents an overview of recent progress in the development of dementia prediction models for use in population screening. In total, 25 articles relating to dementia risk screening met our inclusion criteria for review. Our evaluation of the predictive accuracy of each model shows that most are poor at discriminating at-risk individuals from not-at-risk cases. The best models incorporate diverse sources of information across multiple risk factors. Typically, poor accuracy is associated with single-factor models, long follow-up intervals and the outcome measure of all-cause dementia. A parsimonious and cost-effective consensus model needs to be developed that accurately identifies individuals with a high risk of future dementia.

Screening for mild cognitive impairment: a systematic review

OBJECTIVE

Patients with mild cognitive impairment account for a significant number of referrals to old age psychiatry services and specialist memory clinics. The cognitive evaluation of such patients is commonly restricted to brief dementia screens, with no consideration to their suitability for assessing MCI. Here, we review the utility of such cognitive screens for MCI and provide an overview of validated instruments.

METHODS

We identified papers published after Petersen and colleagues 1999 MCI criteria (Petersen et al., 1999) and examining face-to-face cognitive screening for MCI from publication databases using combinations of the search terms 'mild cognitive impairment' and 'cognitive screening'. We also combined the former search with the names of 39 screening tests recently identified in a relevant review (Cullen et al., 2007).

RESULTS

Fifteen cognitive screening instruments were identified, 11 cover a restricted range of cognitive domains. High sensitivity and specificity for MCI relative to healthy controls were reported for two comprehensive and two noncomprehensive screening instruments, adequate test-retest and inter-rater reliability for only one of these. With the exception of three studies, sample sizes were universally small (i.e. n </= 100), and prognostic values were reported for only two of the identified 15 screening measures. Sensitivities of the full domain measures were universally high, but information about their specificity against psychiatric and non-progressive neurological conditions and predictive validity is lacking.

CONCLUSION

Several cognitive screening instruments afford the clinician the ability to detect MCI, early AD, and in some cases non-AD dementia, but they cannot currently be used to make reliable inferences about the course and eventual outcome of MCI.

Adaptive cognitive testing in dementia

The objective of this study was to investigate whether the Cambridge Cognitive Examination (CAMCOG), a widely used screening test for dementia, can be tailored to the individual patient with Computerized Adaptive Testing (CAT). CAT accomplishes this by only using items that are appropriate for the level of ability of the patient under investigation. Potential advantages of CAT for clinical practice and research are efficient cognitive testing and a reduction of the test burden in elderly patients and consequently less measurement error during testing. In a two step method with previously collected CAMCOG data (n = 797) (1) patient abilities and CAMCOG item difficulties were estimated with the One Parameter Logistic Model (OPLM), a Rasch type of model. CAT was then used (2) to re-estimate the patient abilities. Despite an average test reduction of 60%, CAT estimates were in excellent agreement (intra-class correlation > 0.98) with the results based on the entire CAMCOG and they also had similar accuracy for the diagnosis of dementia (area under the curve 0.91) as the original CAMCOG. These results were replicated in an independent sample (n = 170). We conclude that tailored testing with CAT enables much more efficient screening for dementia than testing with an extensive instrument.

Language performance in Alzheimer's disease and mild cognitive impairment: a comparative review

Mild cognitive impairment (MCI) manifests as memory impairment in the absence of dementia and progresses to Alzheimer's disease (AD) at a rate of around 15% per annum, versus 1-2% in the general population. It thus constitutes a primary target for investigation of early markers of AD. Language deficits occur early in AD, and performance on verbal tasks is an important diagnostic criterion for both AD and MCI. We review language performance in MCI, compare these findings to those seen in AD, and identify the primary issues in understanding language performance in MCI and selecting tasks with diagnostic and prognostic value.

Neuropsychological and neuroimaging changes in preclinical Alzheimer's disease

Alzheimer's disease (AD) is a common, devastating form of dementia. With the advent of promising symptomatic treatment, the importance of recognizing AD at its very earliest stages has increased. We review the extant neuropsychological and neuroimaging literature on preclinical AD, focusing on longitudinal studies of initially nondemented individuals and cross-sectional investigations comparing at-risk with normal individuals. We systematically reviewed 91 studies of neuropsychological functioning, structural neuroimaging, or functional neuroimaging in preclinical AD. The neuropsychological studies indicated that preclinical AD might be characterized by subtle deficits in a broad range of neuropsychological domains, particularly in attention, learning and memory, executive functioning, processing speed, and language. Recent findings from neuroimaging research suggest that volume loss and cerebral blood flow or metabolic changes, particularly in the temporal lobe, may be detected before the onset of dementia. There exist several markers of a preclinical period of AD, in which specific cognitive and biochemical changes precede the clinical manifestations. The preclinical indicators of AD reflect early compromise of generalized brain integrity and temporal lobe functioning in particular.

Population-based cohorts of the 50s and over: a summary of worldwide previous and ongoing studies for research on health in ageing

As most countries face the ageing of their population, understanding successful and pathologic ageing is a research priority. Longitudinal studies examining the ageing process from middle-age are required to establish causal and valid relationships. This systematic review of the literature aimed at identifying large community-based longitudinal studies either including exclusively elderly people or following people from middle-age (50+ years at enrolment) to death, and resulted in a selection of 72 cohort studies. Design features of selected studies show that most were conducted in North America or Northern Europe, most included both genders, and follow-up period was often less than 10 years. Many cohorts focused on cardiovascular health, cognitive decline or osteoporosis. Usually collected variables comprise of self-reported data on socio-demographics, chronic diseases and functional status, as well as measures of cognition, anthropometrics and physical performances. Biological samples were taken in about 60% of the studies, and a third also undertook genetic analyses. This review summarises information on design and content of large population-based cohorts of older persons, and represents a valuable background from which additional data may be retrieved.

Progress in clinical neurosciences: cognitive markers of progression in Alzheimer's disease

The objective of this review is to summarize the literature on Alzheimer's disease progression utilizing cognitive batteries to track change over time. Studies published in English and obtained through PubMed searches (1983-2004) were included (i) if they had a longitudinal design and followed probable Alzheimer's patients diagnosed by National Institute of Neurological and Communicative Disorders and Stroke/Alzheimer's Disease and Related Disorders Association or Diagnostic and Statistical Manual III/IV criteria, and (ii) if the techniques used for serial assessment were well-established in terms of validity and reliability. Longitudinal studies examining Alzheimer's disease progression report highly variable annual rates of change in decline rate. It remains unclear if this reflects disease subgroups or stage-related rate of decline. In conclusion a combination of stage-appropriate cognitive tests such as the Mattis Dementia Rating Scale and the Severe Impairment Battery, along with appropriate statistical methods to account for individual variability in decline rates, can capture the progression of Alzheimer disease and may be useful in further investigation.

FDG-PET measurement is more accurate than neuropsychological assessments to predict global cognitive deterioration in patients with mild cognitive impairment

The accurate prediction, at a pre-dementia stage of Alzheimer's disease (AD), of the subsequent clinical evolution of patients would be a major breakthrough from both therapeutic and research standpoints. Amnestic mild cognitive impairment (MCI) is presently the most common reference to address the pre-dementia stage of AD. However, previous longitudinal studies on patients with MCI assessing neuropsychological and PET markers of future conversion to AD are sparse and yield discrepant findings, while a comprehensive comparison of the relative accuracy of these two categories of measure is still lacking. In the present study, we assessed the global cognitive decline as measured by the Mattis scale in 18 patients with amnestic MCI over an 18-month follow-up period, studying which subtest of this scale showed significant deterioration over time. Using baseline measurements from neuropsychological evaluation of memory and PET, we then assessed significant markers of global cognitive change, that is, percent annual change in the Mattis scale total score, and searched for the best predictor of this global cognitive decline. Altogether, our results revealed significant decline over the 18-month follow-up period in the total score and the verbal initiation and memory-recall subscores of the Mattis scale. The percent annual change in the total Mattis score significantly correlated with age and baseline performances in delayed episodic memory recall as well as semantic autobiographical and category word fluencies. Regarding functional imaging, significant correlations were also found with baseline PET values in the right temporo-parietal and medial frontal areas. Age and right temporo-parietal PET values were the most significant predictors of subsequent global cognitive decline, and the only ones to survive stepwise regression analyses. Our findings are consistent with previous works showing predominant delayed recall and semantic memory impairment at a pre-dementia stage of AD, as well as early metabolic defects in the temporo-parietal associative cortex. However, they suggest that only the latter predictor is specifically and accurately associated with subsequent cognitive decline in patients with MCI within 18 months of first assessment.

Life-long intellectual activities mediate the predictive effect of early education on cognitive impairment in centenarians: a retrospective study

The purpose of this study was to examine the hypothesis of whether early education and/or maintaining intellectual activities over the life-course have the power to protect against cognitive impairment even in extremely old adults. Ninety centenarians from the population-based Heidelberg Centenarian Study were assessed with a modified version of the Mini Mental State Exam (MMSE). Data about education, occupational status, and life-long intellectual activities in four selected domains were obtained. Results demonstrated that 52% of the sample showed mild-to-severe cognitive impairment. Analyzing the influence of early education, occupational status, and intellectual activities on cognitive status we applied several (logistic) regression analyses. Results revealed independent, significant and strong influence of both formal school education and intellectual activities on the cognitive status in very late life, even after controlling for occupational status. However, about one fourth of the effect of early education on cognitive status was exerted indirectly via the assessed intellectual activities. In summary, the present study provides first evidence for the conclusion that even with regard to cognitive performance in very old age, both early education and life-long intellectual activities seem to be of importance.

Multiple cognitive deficits during the transition to Alzheimer's disease

The literature on cognitive markers in preclinical AD is reviewed. The findings demonstrate that impairment in multiple cognitive domains is typically observed several years before clinical diagnosis. Measures of executive functioning, episodic memory and perceptual speed appear to be most effective at identifying at-risk individuals. The fact that these cognitive domains are most implicated in normal cognitive aging suggests that the cognitive deficit observed preclinically is not qualitatively different from that observed in normal aging. The degree of cognitive impairment prior to the diagnosis of Alzheimer's disease (AD) appears to generalize relatively well across major study characteristics, including sample ascertainment procedures, age and cognitive status of participants, as well as time to diagnosis of dementia. In episodic memory, there is evidence that the size of the preclinical deficit increases with increasing cognitive demands. The global cognitive impairment observed is highly consistent with observations that multiple brain structures and functions are affected long before the diagnosis of AD. However, there is substantial overlap in the distribution of cognitive scores between those who will and those who will not be diagnosed with AD, hence limiting the clinical utility of cognitive markers for early identification of cases. Future research should consider combining cognitive indicators with other types of markers (i.e. social, somatic, genetic, brain-based) in order to increase prediction accuracy.

Confrontation naming does not add incremental diagnostic utility in MCI and Alzheimer's disease

As the incidence of dementia increases, there is a growing need to determine the diagnostic utility of specific neuropsychological tests in the early diagnosis of Alzheimer's disease (AD). In this study, the relative utility of Boston Naming Test (BNT) in the diagnosis of AD was examined and compared to the diagnostic utility of other neuropsychological measures commonly used in the evaluation of AD. Individuals with AD (n = 306), Mild Cognitive Impairment (MCI; n = 67), and cognitively normal subjects (n = 409) with at least 2 annual evaluations were included. Logistic regression analysis suggested that initial BNT impairment is associated with increased risk of subsequent AD diagnosis. However, this risk is significantly less than that imparted by measures of delayed recall impairments. A multivariate Cox proportional hazards regression analysis suggested that BNT impairment imparted no additional risk for subsequent AD diagnosis after delayed recall impairments were included in the model. Although BNT impairment occurred in all severity groups, it was ubiquitous only in moderate to severe dementia. Collectively these results suggest that although BNT impairments become more common as AD progresses, they are neither necessary for the diagnosis of AD nor particularly useful in identifying early AD.

Performance and normative values of a concise neuropsychological test (CAMCOG) in an elderly population sample

BACKGROUND

CAMCOG is a widely used brief neuropsychological test. To date no normative values are available for English speaking individuals representative of the general population.

OBJECTIVES

The aims of the study were to describe the population distribution of performance on CAMCOG, and to provide normative data derived from a representative population sample.

METHODS

CAMCOG was administered at the assessment stage of the MRC Cognitive Function and Ageing Study. MRC CFAS is a multi-centre population-based study in England and Wales in respondents aged 65 years and older. Initial screening provided provisional identification of cognitive impairment. The subsequent assessment interview provided an algorithmic diagnosis of dementia, or other disorders, in a 20% sub-sample.

RESULTS

There were large differences between demented and non-demented groups on the CAMCOG total score and on all CAMCOG subscales. Charts of normative values for CAMCOG are presented by age group, sex and education for the non-demented population (n = 1 914, representing 11 008 individuals screened).

CONCLUSIONS

Population-derived normative data are valuable for comparing an individual's score to the score which would be expected of the general population, given the individual's specific demographic characteristics.

Rate of cognitive decline in preclinical Alzheimer's disease: the role of comorbidity

We investigated the influence of individual-difference variables implicated as risk factors for Alzheimer's disease (AD) or known to be related to cognitive performance in normal aging (e.g., age, sex, years of education, previous and recent diseases, apolipoprotein E status, social network, and substance use) on rate of cognitive change from preclinical to clinical AD. With the use of data from a population-based study, 230 persons who were nondemented at baseline and diagnosed with AD at a 3-year follow-up were examined with the Mini-Mental State Examination (MMSE). Of all predictor variables examined, only number of diseases resulting in hospital admission during the follow-up period made an independent contribution to rate of MMSE change. These results suggest that many variables affecting the onset of the degenerative process as well as cognitive functioning in normal aging exert little influence on rate of cognitive change in preclinical AD. This may reflect the fact that the emerging dementia disease overshadows the role of these variables for cognitive functioning. A possible exception to this pattern is that an increasing number of concomitant health conditions may exacerbate the rate of cognitive decline during the final portion of the preclinical phase in AD.

Neuropsychological prediction of conversion to dementia from questionable dementia: statistically significant but not yet clinically useful

BACKGROUND

Verbal memory impairment, one of the earliest signs of Alzheimer's disease (AD), may help identify people with cognitive impairment, insufficient for a diagnosis of dementia (questionable dementia: QD), at risk of developing AD. Other cognitive parameters have been found that may indicate which people with QD will go on to develop dementia. Nevertheless, some researchers have reported only partial success in differentiating between mild AD and age related cognitive impairment.

OBJECTIVES

To discover if there are early, pre-clinical cognitive markers that could help identify patients attending our memory clinic who were at risk of developing dementia.

METHODS

Multidisciplinary assessment of a consecutive sample of 195 patients with QD seen in a National Health Service hospital outpatient clinic; 135 seen for a mean follow up of 24.5 months.

RESULTS

Conversion rate to dementia was 27.4% (37 of 135). A diagnosis of probable or possible AD was made in 15.6% (21 of 135) of cases. Despite statistically significant differences in some cognitive tasks between those who did and those who did not go on to dement, Cox regression analyses failed to improve prediction rates markedly above base rates and were unstable.

CONCLUSION

A large number of studies claim good prediction of conversion to dementia using cognitive test scores. Although this study produced similarly good sensitivity and specificity values, proper consideration of the statistical analyses and their clinical significance suggested that these prediction methods are currently too imprecise for clinical use. Use of cognitive indicators combined with neuroradiological, neuropathological, and genetic factors for predicting conversion to dementia might prove more reliable but may be beyond the scope of many geriatric services.

Course of minimal dementia and predictors of outcome

BACKGROUND

Previous studies have indicated that not all subjects who meet the CAMDEX criteria of 'minimal dementia' progress to dementia. In the present study, predictors of outcome in minimally demented subjects were tested.

METHODS

Forty-five subjects with minimal dementia who were participating in a population-based study were followed-up for on average 2.3 years. Variables tested as predictors of outcome were age, the apolipoprotein E (APOE) genotype, and the baseline scores on the MMSE, CAMCOG memory subscale, and fluency. Depression at baseline was tested as a predictor of reversible minimal dementia.

RESULTS

At follow-up, minimal dementia turned out to be reversible in 11 subjects (24%), and persistent in ten subjects (22%). Twenty-four subjects (53%) had become demented. Predictors of outcome in multivariate analyses were age, score on the CAMCOG memory subscale, and the APOE genotype. Depression was not associated with reversible minimal dementia.

CONCLUSIONS

Subjects who meet the CAMDEX criteria of minimal dementia form a heterogenous group with respect to clinical outcome. Age, the score on the CAMCOG memory subscale, and the APOE genotype can improve predictive accuracy in these subjects.

Are cognitively intact seniors with subjective memory loss more likely to develop dementia?

BACKGROUND

Subjective memory loss (SML) is common in elderly persons. It is not clear if SML predicts the development of dementia.

OBJECTIVES

(1) to determine if SML in those with normal cognition predicts dementia or cognitive impairment without dementia (CIND); (2) to determine if an association is independent of the effect of age, gender and depressive symptoms.

METHODS

Secondary analysis of the Manitoba Study of Health and Aging (MSHA), a population-based prospective study. Data were collected in 1991, and follow-up was done 5 years later. Community-dwelling seniors sampled randomly from a population-based registry in the Canadian province of Manitoba, stratified on age and region. Only those scoring in the normal range of the Modified mini-mental state examination (3MS) were included. Predictor variables were self-reported memory loss, 3MS, Center for epidemiological studies-depression scale (CES-D), age, gender, and education. Outcomes were mortality and cognitive impairment five years later.

RESULTS

In bivariate analyses, SML was associated with both death and dementia. In multivariate models, SML did not predict mortality. After adjusting for age, gender, and depressive symptoms, SML predicted dementia. However, after adjusting for baseline 3MS score, SML did not predict dementia.

CONCLUSIONS

Memory complaints predict the development of dementia over five years, and clinicians should monitor these persons closely. However, the proportion of persons developing dementia was small, and SML alone is unlikely to be a useful clinical predictor of dementia.

Relationship between regional cerebral blood flow and verbal fluency in Alzheimer's disease

Category and letter verbal fluency tests are widely used for dementia detection and severity measure. Performances of these tasks have been regarded to be mainly associated with the left frontal lobe function. However, some recent studies suggest that there are different neuropsychological bases between these two tasks, and the brain region which contributes to these performances still remains unclear in Alzheimer's disease (AD). To clarify the neural basis of verbal fluency in AD, we examined the relationship between performances of these tasks and regional cerebral blood flow (rCBF). Twenty-five AD patients were administered verbal fluency tasks and single photon emission computed tomography (SPECT) scans. Thirteen cortical regions of interest were symmetrically defined in each hemisphere. Letter fluency scores were correlated significantly only with the left prefrontal (Brodmann's area (BA) 10-46) regional cerebral blood flow (rCBF). In contrast, category fluency scores were correlated most strongly with the left temporal rCBF and also with the left prefrontal (BA 10-46) rCBF. In conclusion, the present study suggests that left prefrontal (BA 10-46) dysfunction contributes to decline in both letter and category fluency scores in AD, while typical posterior dysfunction of AD has a closer relationship with decline in category fluency scores.

Mild cognitive impairment: clinical features and review of screening instruments

Clinical criteria to recognize subjects with cognitive impairment in the pre-dementia stage are becoming available. These are frail subjects, at risk of adverse outcomes, such as death, institutionalization, and functional and cognitive deterioration. Early identification of these subjects has a great importance in order to start rehabilitative or pharmacological interventions that could slow the progression of cognitive impairment, and the onset of disability. In this regard, cognitive screening tests might be helpful in different clinical settings (general practice, acute care, rehabilitation, and nursing home). We describe the most frequent clinical presentations of cognitive impairment in the pre-dementia stage, and review eleven screening tests to provide recommendations on which should be preferred in each setting.