Role of cognitive reserve in progression from mild cognitive impairment to dementia

Abstract Cognitive reserve is the ability to optimize performance through differential recruitment of brain networks, which may reflect the use of alternative cognitive strategies. Objectives: To identify factors related to cognitive reserve associated with progression from mild cognitive impairment (MCI) to degenerative dementia. Methods: A cohort of 239 subjects with MCI (age: 72.2±8.1 years, 58% women, education: 12 years) was assessed and followed for five years (2001 to 2006). Results: In the first year, 13.7% of MCI converted to dementia and 34.7% converted within three years (78.3% converted to Alzheimer's dementia). Risk factors for those who converted were education less than 12 years, MMSE score less than 27, Boston naming test score less than 51, IQ (Intelligence Quotient) less than 111, age over 75 years, lack of occupation at retirement, and presence of intrusions in memory recall (all account for 56% of the variability of conversion). Conclusions: MCI patients are a population at high risk for dementia. The study of risk factors (e.g. IQ, education and occupation), particularly those related to cognitive reserve, can contribute important evidence to guide the decision-making process in routine clinical activity and public health policy.

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General and domain‐specific cognitive reserve, mild cognitive impairment, and dementia risk in older women

Alzheimer s & Dementia Translational Research & Clinical Interventions ◽

10.1016/j.trci.2019.02.003 ◽

2019 ◽

Vol 5 (1) ◽

pp. 118-128 ◽

Cited By ~ 2

Author(s):

Andrew J. Petkus ◽

Susan M. Resnick ◽

Stephen R. Rapp ◽

Mark A. Espeland ◽

Margaret Gatz ◽

...

Keyword(s):

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Older Women ◽

Cognitive Reserve ◽

Domain Specific ◽

Dementia Risk

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Medical Health Records-Based Mild Cognitive Impairment (MCI) Prediction for Effective Dementia Care

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18179223 ◽

2021 ◽

Vol 18 (17) ◽

pp. 9223

Author(s):

Soo-Jin Lim ◽

Zoonky Lee ◽

Lee-Nam Kwon ◽

Hong-Woo Chun

Keyword(s):

Risk Factors ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Incubation Period ◽

Model Development ◽

Optimal Timing ◽

Dementia Risk ◽

Common Risk Factors ◽

Global Threat ◽

Delay Progression

Dementia is a cognitive impairment that poses a global threat. Current dementia treatments slow the progression of the disease. The timing of starting such treatment markedly affects the effectiveness of the treatment. Some experts mentioned that the optimal timing for starting the currently available treatment in order to delay progression to dementia is the mild cognitive impairment stage, which is the prior stage of dementia. However, medical records are typically only available at a later stage, i.e., from the early or middle stage of dementia. In order to address this limitation, this study developed a model using national health information data from 5 years prior, to predict dementia development 5 years in the future. The Senior Cohort Database, comprising 550,000 samples, were used for model development. The F-measure of the model predicting dementia development after a 5-year incubation period was 77.38%. Models for a 1- and 3-year incubation period were also developed for comparative analysis of dementia risk factors. The three models had some risk factors in common, but also had unique risk factors, depending on the stage. For the common risk factors, a difference in disease severity was confirmed. These findings indicate that the diagnostic criteria and treatment strategy for dementia should differ depending on the timing. Furthermore, since the results of this study present new dementia risk factors that have not been reported previously, this study may also contribute to identification of new dementia risk factors.

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Elucidating the risk factors for progression from amyloid-negative amnestic mild cognitive impairment to dementia

Current Alzheimer Research ◽

10.2174/1567205017666201130094259 ◽

2020 ◽

Vol 17 ◽

Author(s):

Hyung-Ji Kim ◽

Jae-Hong Lee ◽

E-nae Cheong ◽

Sung-Eun Chung ◽

Sungyang Jo ◽

...

Keyword(s):

Risk Factors ◽

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Amnestic Mild Cognitive Impairment ◽

Amyloid Pet ◽

Clinical Progression ◽

Amnestic Mci

Background: Amyloid PET allows for the assessment of amyloid β status in the brain, distinguishing true Alzheimer’s disease from Alzheimer’s disease-mimicking conditions. Around 15–20% of patients with clinically probable Alzheimer’s disease have been found to have no significant Alzheimer’s pathology on amyloid PET. However, a limited number of studies had been conducted this subpopulation in terms of clinical progression. Objective: We investigated the risk factors that could affect the progression to dementia in patients with amyloid-negative amnestic mild cognitive impairment (MCI). Methods: This study was a single-institutional, retrospective cohort study of patients over the age of 50 with amyloidnegative amnestic MCI who visited the memory clinic of Asan Medical Center with a follow-up period of more than 36 months. All participants underwent brain magnetic resonance imaging (MRI), detailed neuropsychological testing, and fluorine-18[F18]-florbetaben amyloid PET. Results: During the follow-up period, 39 of 107 patients progressed to dementia from amnestic MCI. In comparison with the stationary group, the progressed group had a more severe impairment in verbal and visual episodic memory function and hippocampal atrophy, which showed an Alzheimer’s disease-like pattern despite the lack of evidence for significant Alzheimer’s disease pathology. Voxel-based morphometric MRI analysis revealed that the progressed group had a reduced gray matter volume in the bilateral cerebellar cortices, right temporal cortex, and bilateral insular cortices. Conclusion: Considering the lack of evidence of amyloid pathology, clinical progression of these subpopulation may be caused by other neuropathologies such as TDP-43, abnormal tau or alpha synuclein that lead to neurodegeneration independent of amyloid-driven pathway. Further prospective studies incorporating biomarkers of Alzheimer’s diseasemimicking dementia are warranted.

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Risk factors for developing dementia in type 2 diabetes mellitus patients with mild cognitive impairment

Neuropsychiatric Disease and Treatment ◽

10.2147/ndt.s189905 ◽

2019 ◽

Vol Volume 15 ◽

pp. 167-175 ◽

Cited By ~ 16

Author(s):

Oana Albai ◽

Mirela Frandes ◽

Romulus Timar ◽

Deiana Roman ◽

Bogdan Timar

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Type 2 Diabetes ◽

Type 2 Diabetes Mellitus ◽

Cognitive Impairment ◽

Mild Cognitive Impairment

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Predicting On-Road Driving Skills, Fitness to Drive, and Prospective Accident Risk in Older Drivers and Drivers with Mild Cognitive Impairment: The Importance of Non-Cognitive Risk Factors

Journal of Alzheimer s Disease ◽

10.3233/jad-200943 ◽

2021 ◽

Vol 79 (1) ◽

pp. 401-414

Author(s):

Max Toepper ◽

Philipp Schulz ◽

Thomas Beblo ◽

Martin Driessen

Keyword(s):

Risk Factors ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Older Drivers ◽

Accident Risk ◽

Fitness To Drive ◽

Cognitive Predictors ◽

Driving Skills ◽

Cognitive Risk ◽

Cognitive Risk Factors

Background: On-road driving behavior can be impaired in older drivers and particularly in drivers with mild cognitive impairment (MCI). Objective: To determine whether cognitive and non-cognitive risk factors for driving safety may allow an accurate and economic prediction of on-road driving skills, fitness to drive, and prospective accident risk in healthy older drivers and drivers with MCI, we examined a representative combined sample of older drivers with and without MCI (N = 74) in an observational on-road study. In particular, we examined whether non-cognitive risk factors improve predictive accuracy provided by cognitive factors alone. Methods: Multiple and logistic hierarchical regression analyses were utilized to predict different driving outcomes. In all regression models, we included cognitive predictors alone in a first step and added non-cognitive predictors in a second step. Results: Results revealed that the combination of cognitive and non-cognitive risk factors significantly predicted driving skills (R2adjusted = 0.30) and fitness to drive (81.2% accuracy) as well as the number (R2adjusted = 0.21) and occurrence (88.3% accuracy) of prospective minor at-fault accidents within the next 12 months. In all analyses, the inclusion of non-cognitive risk factors led to a significant increase of explained variance in the different outcome variables. Conclusion: Our findings suggest that a combination of the most robust cognitive and non-cognitive risk factors may allow an economic and accurate prediction of on-road driving performance and prospective accident risk in healthy older drivers and drivers with MCI. Therefore, non-cognitive risk factors appear to play an important role.

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Analyses of Visuospatial and Visuoperceptual Errors as Predictors of Dementia in Parkinson’s Disease Patients with Subjective Cognitive Decline and Mild Cognitive Impairment

Journal of the International Neuropsychological Society ◽

10.1017/s1355617720001216 ◽

2020 ◽

pp. 1-11

Author(s):

Iván Galtier ◽

Antonieta Nieto ◽

María Mata ◽

Jesús N. Lorenzo ◽

José Barroso

Keyword(s):

Risk Factors ◽

Parkinson’S Disease ◽

Parkinson's Disease ◽

Cognitive Impairment ◽

Mild Cognitive Impairment ◽

Cognitive Decline ◽

Poor Performance ◽

Subjective Cognitive Decline ◽

Independent Risk Factors

ABSTRACT Objective: Subjective cognitive decline (SCD) and mild cognitive impairment (MCI) in Parkinson’s disease (PD) are considered as the risk factors for dementia (PDD). Posterior cortically based functions, such as visuospatial and visuoperceptual (VS-VP) processing, have been described as predictors of PDD. However, no investigations have focused on the qualitative analysis of the Judgment of Line Orientation Test (JLOT) and the Facial Recognition Test (FRT) in PD-SCD and PD-MCI. The aim of this work was to study the VS-VP errors in JLOT and FRT. Moreover, these variables are considered as predictors of PDD. Method: Forty-two PD patients and 19 controls were evaluated with a neuropsychological protocol. Patients were classified as PD-SCD and PD-MCI. Analyses of errors were conducted following the procedure described by Ska, Poissant, and Joanette (1990). Follow-up assessment was conducted to a mean of 7.5 years after the baseline. Results: PD-MCI patients showed a poor performance in JLOT and FRT total score and made a greater proportion of severe intraquadrant (QO2) and interquadrant errors (IQO). PD-SCD showed a poor performance in FRT and made mild errors in JLOT. PD-MCI and QO2/IQO errors were independent risk factors for PDD during the follow-up. Moreover, the combination of both PD-MCI diagnosis and QO2/IQO errors was associated with a greater risk. Conclusions: PD-MCI patients presented a greater alteration in VS-VP processing observable by the presence of severe misjudgments. PD-SCD patients also showed mild difficulties in VS-SP functions. Finally, QO2/IQO errors in PD-MCI are a useful predictor of PDD, more than PD-MCI diagnosis alone.

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Association between ApoE ε4 Carrier Status and Cardiovascular Risk Factors on Mild Cognitive Impairment among Mexican Older Adults

Brain Sciences ◽

10.3390/brainsci11010068 ◽

2021 ◽

Vol 11 (1) ◽

pp. 68

Author(s):

Sara G. Aguilar-Navarro ◽

Itzel I. Gonzalez-Aparicio ◽

José Alberto Avila-Funes ◽

Teresa Juárez-Cedillo ◽

Teresa Tusié-Luna ◽

...

Keyword(s):

Risk Factors ◽

Older Adults ◽

Cognitive Impairment ◽

Cardiovascular Risk ◽

Mild Cognitive Impairment ◽

Cardiovascular Risk Factors ◽

Apoe Genotype ◽

Carrier Status ◽

Apoe Ε4 ◽

Increased Risk

Mild cognitive impairment (MCI) (amnestic or non-amnestic) has different clinical and neuropsychological characteristics, and its evolution is heterogeneous. Cardiovascular risk factors (CVRF), such as hypertension, diabetes, or dyslipidemia, and the presence of the Apolipoprotein E ε4 (ApoE ε4) polymorphism have been associated with an increased risk of developing Alzheimer’s disease (AD) and other dementias but the relationship is inconsistent worldwide. We aimed to establish the association between the ApoE ε4 carrier status and CVRF on MCI subtypes (amnestic and non-amnestic) in Mexican older adults. Cross-sectional study including 137 older adults (n = 63 with normal cognition (NC), n = 24 with amnesic, and n = 50 with non-amnesic MCI). Multinomial logistic regression models were performed in order to determine the association between ApoE ε4 polymorphism carrier and CVRF on amnestic and non-amnestic-MCI. ApoE ε4 carrier status was present in 28.8% participants. The models showed that ApoE ε4 carrier status was not associated neither aMCI nor naMCI condition. The interaction term ApoE ε4 × CVRF was not statistically significant for both types of MCI. However, CVRF were associated with both types of MCI and the association remained statistically significant after adjustment by sex, age, and education level. The carrier status of the ApoE genotype does not contribute to this risk.

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