Modifiable Risk Factor Possession Patterns of Dementia in Elderly with MCI: A 4-Year Repeated Measures Study

Katayama, Osamu; Lee, Sangyoon; Bae, Sejong; Makino, Keitaro; Shinkai, Yohei; Chiba, Ippei; Harada, Kenji; Shimada, Hiroyuki

doi:10.3390/jcm9041076

Cited by 17 publications

(14 citation statements)

References 48 publications

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“…In addition, we found that rMCI was more likely to occur in non-smoking individuals in the ADNI sample (Additional file 1 : Table S3). Two other recent studies have reached the same conclusion that non-smoking is a beneficial factor in reversing from MCI to NC state [ 58 , 59 ]. However, another study found no differences in vascular risk factors between the MCI reversion, stabilization, and progression groups, with low white matter hyperintensity grades characteristic of MCI reversion [ 60 ].…”

Section: Discussionmentioning

confidence: 53%

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

et al. 2023

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Background Mild cognitive impairment (MCI) has been thought of as the transitional stage between normal ageing and Alzheimer’s disease, involving substantial changes in brain grey matter structures. As most previous studies have focused on single regions (e.g. the hippocampus) and their changes during MCI development and reversion, the relationship between grey matter covariance among distributed brain regions and clinical development and reversion of MCI remains unclear. Methods With samples from two independent studies (155 from the Beijing Aging Brain Rejuvenation Initiative and 286 from the Alzheimer’s Disease Neuroimaging Initiative), grey matter covariance of default, frontoparietal, and hippocampal networks were identified by seed-based partial least square analyses, and random forest models were applied to predict the progression from normal cognition to MCI (N-t-M) and the reversion from MCI to normal cognition (M-t-N). Results With varying degrees, the grey matter covariance in the three networks could predict N-t-M progression (AUC = 0.692–0.792) and M-t-N reversion (AUC = 0.701–0.809). Further analyses indicated that the hippocampus has emerged as an important region in reversion prediction within all three brain networks, and even though the hippocampus itself could predict the clinical reversion of M-t-N, the grey matter covariance showed higher prediction accuracy for early progression of N-t-M. Conclusions Our findings are the first to report grey matter covariance changes in MCI development and reversion and highlight the necessity of including grey matter covariance changes along with hippocampal degeneration in the early detection of MCI and Alzheimer’s disease.

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Section: Discussionmentioning

confidence: 53%

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

et al. 2023

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“…There is currently no consensus on the best approach to operationalize and synthesize MDRFs. Several methods have been used previously such as considering MDRFs individually (Jonaitis et al, 2013), weighted risk scores (e.g., CAIDE; Kivipelto et al, 2006), and data-driven approaches (Katayama et al, 2020). Methods other This document is copyrighted by the American Psychological Association or one of its allied publishers.…”

Section: Discussionmentioning

confidence: 99%

Multidomain modifiable dementia risk factors are associated with poorer cognition in midlife.

Bransby¹,

Rosenich²,

Buckley³

et al. 2023

Neuropsychology

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Objective: Studies of modifiable dementia risk factors (MDRFs) generally consider MDRFs individually, despite strong evidence that they co-occur in adult populations. In a large sample of middle-aged adults, this study aimed to determine the frequency and co-occurrence of MDRFs, spanning five domains (mood symptomatology, risky lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology). The relationship between number of domains in which MDRFs were reported with cognitive performance and subjective cognitive concerns was then determined. Method: Middle-aged adults (n = 1,610) enrolled in the Healthy Brain Project and completed self-report surveys about their health and lifestyle. Participants also completed the Cogstate Brief Battery and the Cognitive Function Instrument, a measure of subjective ratings of cognition. Participants were classified according to number of domains (mood symptomatology, risky lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology) in which they reported at least one MDRF (0-5). Age, sex, education, and ethnicity were adjusted for in analyses. Results: Most individuals (66.5%) reported MDRFs in two or more domains. Compared with individuals displaying no MDRFs, individuals with MDRFs in 3-5 domains showed worse learning/working memory performance and greater subjective cognitive concerns, with the magnitude of these differences moderate-to-large (d = 0.30-0.93). Individuals displaying MDRFs in five domains also showed worse attention/psychomotor function (d = 0.58) compared to those displaying no MDRFs. Conclusions: These findings may suggest that multidomain MDRFs are highly frequent in middle-aged adults and are related to poorer cognition. This supports that modifiable dementia risk is multidimensional and raises the possibility that multidomain behavioral intervention trials in middle-aged adults may be useful to delay or prevent cognitive impairment or decline. Key PointsQuestion: What is the frequency or burden of modifiable dementia risk factors (MDRFs) spanning five domains (mood symptomatology, risky lifestyle behaviors, cardiovascular conditions, cognitive/social engagement, sleep disorders/symptomatology) in middle-aged adults, and how are they related to with subtle negative neurological changes indicated by poorer cognitive outcomes. Next Steps: Future research should investigate the association between multidomain MDRFs with cognitive decline and whether multidomain behavioral intervention trials targeting MDRFs in middle-aged adults can preserve cognition and delay future cognitive impairment and dementia.

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“…In turn, reversion is also more likely in younger patients, 12–15 as well as in those with better scores on general cognitive assessments and with higher amygdala and hippocampus volumes, 16,17 with better vision and olfactory ability, and with higher scores on the personality trait of openness to experience 17 . Other modifiable variables such as smoking, obesity, and hypertension are also associated with cognitive impairment and dementia and their progression 18 …”

Section: Introductionmentioning

confidence: 99%

“…17 Other modifiable variables such as smoking, obesity, and hypertension are also associated with cognitive impairment and dementia and their progression. 18 Regarding neuropsychiatric symptoms, patients with fewer mixed anxious-depressive symptoms seem to revert more easily than those with higher scores in anxiety, apathy, or depression. 15,19 Paradoxically, affective symptoms have also been found to be a predictor for reversion.…”

mentioning

confidence: 99%

Transition from mild cognitive impairment to normal cognition: Determining the predictors of reversion with multi‐state Markov models

Sanz-Blasco

León

Ávila-Villanueva

et al. 2021

Alzheimer's & Dementia

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Introduction:The theoretical framework of the Alzheimer's disease continuum considers transition between stages in a unidirectional manner. Here we examine the rate of reversion from mild cognitive impairment (MCI) to normal cognition (NC) and explore a set of potential variables associated with this phenomenon.Methods: A total of 985 Spanish community-dwelling individuals aged 70 years and over at baseline were monitored for 5 years. During this time, 173 MCI and 36 dementia cases were identified. Multi-state Markov models were performed to characterize transitions between states through the dementia continuum. Results:The rate of reversion from MCI to NC was 11%. There were significant nonmodifiable (age, socioeconomic status, or apolipoprotein E) and modifiable factors (cognitive training or absence of affective symptoms) associated with reversion.Discussion: Overall, our results highlight that the likelihood of progression from MCI to dementia is very similar to that of reversion from MCI to NC.

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Modifiable Risk Factor Possession Patterns of Dementia in Elderly with MCI: A 4-Year Repeated Measures Study

Cited by 17 publications

References 48 publications

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

Hippocampus-centred grey matter covariance networks predict the development and reversion of mild cognitive impairment

Multidomain modifiable dementia risk factors are associated with poorer cognition in midlife.

Transition from mild cognitive impairment to normal cognition: Determining the predictors of reversion with multi‐state Markov models

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