Detection and Prevention of Mild Cognitive Impairment and Dementia

A special issue of Healthcare (ISSN 2227-9032).

Deadline for manuscript submissions: closed (1 June 2023) | Viewed by 8820

Special Issue Editors


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Guest Editor
Laboratory of Cognitive Neuroscience, School of Psychology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Interests: clinical neuropsychology; cognitive/neuropsychological rehabilitation; cognitive communication disorders; MCI; dementia; MS
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Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45500 Ioannina, Greece
Interests: cognitive and behavioral neurology; neurorehabilitation; dementias; cognitive communication disorders; neuromodulation
Special Issues, Collections and Topics in MDPI journals

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B'Department of Neurology, Ahepa University Hospital,1st Kyriakides str., Aristotle University, 54636 Thessaloniki, Greece
Interests: neurodegenerative disorders; frontotemporal dementia; PPA; MCI
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Psychology, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece
Interests: clinical neuropsychology; neuropsychology of epilepsy sugery; motor and psychiatric disorders; cognitive/neuropsychological rehabilitation; pathophysiology of cognitive disorders

Special Issue Information

Dear Colleagues,

Mild cognitive impairment (MCI) is characterized by cognitive deficits but essentially preserved competence in activities of daily living. It is a risk factor for the development of dementia and can reflect a prodromal predementia state of Alzheimer's disease (AD), vascular dementia (VD), Parkinson’s disease dementia (PDD), and other degenerative dementias. Early symptoms of MCI and dementia may not be apparent in routine clinical examinations and are sometimes even concealed during short office visits initiated for other complaints. Although current methods of detecting moderate dementia in community-based clinical practices are reasonably accurate, they do not sensitively detect MCI and often do not detect mild dementia. The difficulty of detecting MCI and, in many cases, mild dementia is largely due to the insensitivity of the most commonly used screening tests in clinical practice, e.g., the Mini Mental Status Examination (MMSE). This insensitivity is due to a person with MCI or very mild dementia experiencing subtle memory problems only slightly greater than those normally expected with aging without showing any other symptoms of dementia such as impaired judgment or reasoning. Given that early detection is critical for treatment, effective methods of screening for MCI and dementia are a high research priority and more sensitive screening tests or brief neuropsychological batteries that can be practically applied in community healthcare settings are therefore needed. Furthermore, due to advances in the field of biomarker-based early detection of MCI and dementia, it is now possible to differentiate between MCI patients with and without an underlying pathological condition and therefore between patients with a low and those with a high risk of the development of dementia. However, at present specific guideline recommendations in many European and other countries for the diagnostic use of biomarkers in predementia detection are limited and unspecific. As the population ages, there is a growing need for early, proactive programs that can delay the consequences of dementia and improve the quality of life of people with MCI and their caregivers. Various intervention approaches for older people with MCI have been suggested to delay cognitive deterioration. Pharmacological as well as non-pharmacological approaches (cognitive stimulation—rehabilitation, nutritional supplementation, physical exercise, electric/magnetic stimulation) and multicomponent interventions have been proposed.

This Special Issue of Healthcare, aims to address various issues related to the detection and prevention of mild cognitive impairment and dementia in community-dwelling older adults and primary care patients. Therefore, we kindly invite you to submit manuscripts (original research, empirical, clinical, basic research, and review papers or meta-analyses) that address any of the issues mentioned previously or the following questions:

(1) Which screening instruments or brief neuropsychological batteries best detect dementia or mild cognitive impairment (MCI) in community-dwelling older primary care patients?

(2) Does the combined use of screening tests, brief neuropsychological batteries, and diagnostic biomarkers improve the accuracy of detecting MCI and mild dementia in outpatient and other clinical settings compared with test use alone?

(3) Do early interventions for cognitive impairment in community-dwelling older adults improve decision making and patient/family/caregiver outcomes?

Dr. Lambros Messinis
Dr. Grigorios Nasios
Dr. Panagiotis Ioannidis
Dr. Panayiots Patrikelis
Guest Editors

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Keywords

  • MCI
  • dementia
  • detection
  • prevention
  • screening tests
  • neuropsychological batteries
  • diagnostic biomarkers
  • cognitive stimulation
  • TMS

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Published Papers (4 papers)

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Editorial

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3 pages, 182 KiB  
Editorial
Detection and Prevention of Mild Cognitive Impairment and Dementia
by Lambros Messinis, Grigorios Nasios, Panagiotis Ioannidis and Panayiotis Patrikelis
Healthcare 2023, 11(16), 2232; https://doi.org/10.3390/healthcare11162232 - 8 Aug 2023
Viewed by 1100
Abstract
Mild cognitive impairment (MCI) is characterized by cognitive deficits alongside essentially preserved competence in activities of daily living [...] Full article
(This article belongs to the Special Issue Detection and Prevention of Mild Cognitive Impairment and Dementia)

Research

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14 pages, 465 KiB  
Article
Effect of Aging on Educational Differences in the Risk of Cognitive Impairment: A Gender-Specific Analysis Using Korean Longitudinal Study of Aging (2006–2016)
by Roeul Kim and Woojin Chung
Healthcare 2022, 10(6), 1062; https://doi.org/10.3390/healthcare10061062 - 8 Jun 2022
Cited by 7 | Viewed by 2059
Abstract
This study examined the effect of aging on gender-specific educational differences in the risk of cognitive impairment using a nationally representative sample of 4278 men and 5495 women aged 45 years and older from the dataset of the Korean Longitudinal Study of Aging. [...] Read more.
This study examined the effect of aging on gender-specific educational differences in the risk of cognitive impairment using a nationally representative sample of 4278 men and 5495 women aged 45 years and older from the dataset of the Korean Longitudinal Study of Aging. Sociodemographics, lifestyle, and medical conditions were included as covariates in the mixed logistic regression analysis models. The prevalence of cognitive impairment was higher in women than in men at baseline. The risk of cognitive impairment in each age group decreased with education in both men and women. The risk by educational rank was worse at lower levels and increased with age, more so for women than men. Aging appears to widen the impact of educational differences on the risk of cognitive impairment and is more unfavorable for women than for men. Public health policies regarding population aging need to consider this and identify the target population to reduce both the level of and the difference in the risk of cognitive impairment. Full article
(This article belongs to the Special Issue Detection and Prevention of Mild Cognitive Impairment and Dementia)
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9 pages, 262 KiB  
Article
Comparison of the Greek Version of the Quick Mild Cognitive Impairment Screen and Montreal Cognitive Assessment in Older Adults
by Lambros Messinis, Grigorios Nasios, Antonios Mougias, Panayiotis Patrikelis, Sonia Malefaki, Vasileios Panagiotopoulos, Aikaterini Ntoskou Messini, Christos Bakirtzis, Nikolaos Grigoriadis, Panagiotis Ioannidis, Stella Bairami, Valentina Papadopoulou and Phillipos Gourzis
Healthcare 2022, 10(5), 906; https://doi.org/10.3390/healthcare10050906 - 13 May 2022
Cited by 3 | Viewed by 2163
Abstract
Objective: Cognitive screening instruments (CSIs) are essential for everyday practice. The Quick Mild Cognitive Impairment (Qmci) screen, a short instrument designed to identify mild cognitive impairment, was recently translated into Greek (Qmci-Gr). The present study compared its diagnostic value against the Montreal [...] Read more.
Objective: Cognitive screening instruments (CSIs) are essential for everyday practice. The Quick Mild Cognitive Impairment (Qmci) screen, a short instrument designed to identify mild cognitive impairment, was recently translated into Greek (Qmci-Gr). The present study compared its diagnostic value against the Montreal Cognitive Assessment (MoCA) screen and examined its optimal cutoffs. Method: We recruited consecutive patients aged ≥55 years that presented with cognitive complaints from two outpatient clinics in Greece. The Qmci-Gr and MoCA were completed by all patients. Furthermore, they were assessed independently with a comprehensive flexible neuropsychological battery to establish a diagnostic classification. Results: In the current study, we assessed a total of 145 patients, with a median age of 70 years; 44 were classified as having Subjective Memory Complaints (SMC) but normal cognition, 32 with MCI and 69 with dementia. The Qmci-Gr had a higher accuracy compared to the MoCA in discriminating MCI from dementia, area under the curve (AUC) of 0.81 versus 0.75, respectively; however, this finding was marginally significant (p = 0.08). Its accuracy was marginally higher for distinguishing SMC from dementia, AUC of 0.94 versus 0.89 (p = 0.03). However, Qmci-Gr presented a lower accuracy than MoCa in differentiating SMC from MCI, AUC of 0.76 versus 0.94 (p = 0.006). Conclusions: The Qmci-Gr has comparable diagnostic accuracy to the MoCA regarding MCI and dementia groups. Further research, with larger and more diverse samples, may be necessary to ensure generalizability. Full article
(This article belongs to the Special Issue Detection and Prevention of Mild Cognitive Impairment and Dementia)

Review

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7 pages, 228 KiB  
Review
Differentiating Degenerative from Vascular Dementia with the Help of Optical Coherence Tomography Angiography Biomarkers
by Efthymios Chalkias, Ioannis-Nikolaos Chalkias, Christos Bakirtzis, Lambros Messinis, Grigorios Nasios, Panagiotis Ioannidis and Demetrios Pirounides
Healthcare 2022, 10(3), 539; https://doi.org/10.3390/healthcare10030539 - 15 Mar 2022
Cited by 6 | Viewed by 2597
Abstract
Alzheimer’s disease and vascular dementia account for the majority of cases of cognitive decline in elderly people. These two main forms of dementia, under which various subtypes fall, are often overlapping and, in some cases, definitive diagnosis may only be possible post-mortem. This [...] Read more.
Alzheimer’s disease and vascular dementia account for the majority of cases of cognitive decline in elderly people. These two main forms of dementia, under which various subtypes fall, are often overlapping and, in some cases, definitive diagnosis may only be possible post-mortem. This has implications for the quality of care and the design of individualized interventions for these patients. Optical coherence tomography angiography (OCTA) is a non-invasive imaging modality used to visualize the retinal layers and vessels which shows encouraging results in the study of various neurological conditions, including dementia. This review aims to succinctly sum up the present state of knowledge and provide critical insight into emerging patterns of OCTA biomarker values in Alzheimer’s disease and vascular dementia. According to the current literature, vessel density seems to be a common biomarker for both forms; inner retinal layer thickness might represent a biomarker preferentially affected in degenerative dementia including Alzheimer’s, while, in contrast, the outer-layer thickness as a whole justifies attention as a potential vascular dementia biomarker. Radial peripapillary capillary density should also be further studied as a biomarker specifically linked to vascular dementia. Full article
(This article belongs to the Special Issue Detection and Prevention of Mild Cognitive Impairment and Dementia)
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