Abstract
Background: Mild Cognitive Impairment (MCI) is a risk factor for Alzheimer’s disease (AD) and other forms of dementia. However, much heterogeneity concerning neuropsychological measures, prevalence and progression rates impedes distinct diagnosis and treatment implications.
Objective: Aim of the present study was the identification of specific tests providing a high certainty for stable MCI and factors that precipitate instability of MCI in a community based sample examined at three measurement points. Method: 130 participants were tested annually with an extensive test battery including measures of memory, language, executive functions, intelligence and dementia screening tests. Exclusion criteria at baseline comprised, severe cognitive deficits (e.g. diagnosis of dementia, psychiatric or neurological disease). Possible predictors for stability or instability of MCI-diagnosis were analyzed using Regression and Receiver Operating Characteristic (ROC) curve analysis. Age, IQ and APOE status were tested for moderating effects on the interaction of test performances and group membership. Results: A high prevalence of MCI (49%) was observed at baseline with a reversion rate of 18% after two years. Stability of MCI was related to performances in four measures (VLMT: delayed recall, CERAD: recall drawings, CERAD: Boston Naming Test, Benton Visual Retention Test: number of mistakes). Conversion to MCI is associated with language functions. Reversion to ‘normal’ was primarily predicted by single domain impairment. There was no significant influence of demographic, medical or genetic variables. Conclusion: The results highlight the role of repeated measurements for a reliable identification of functional neuropsychological predictors and better diagnostic reliability. In cases of high uncertainty close monitoring over time is needed in order of estimating outcome.Keywords: Mild cognitive impairment (MCI), Alzheimer dementia (AD), cognitive functions, memory, longitudinal survey, neuropsychology.
Current Alzheimer Research
Title:Predicting Stability of Mild Cognitive Impairment (MCI): Findings of a Community Based Sample
Volume: 14 Issue: 6
Author(s): Sinika Ellendt, Bianca Voβ, Nils Kohn, Lisa Wagels, Katharina S. Goerlich, Eva Drexler, Frank Schneider and Ute Habel*
Affiliation:
- Department of Psychiatry, Psychotherapy and Psychosomatics, Medical School, RWTH Aachen University, Aachen,Germany
Keywords: Mild cognitive impairment (MCI), Alzheimer dementia (AD), cognitive functions, memory, longitudinal survey, neuropsychology.
Abstract: Background: Mild Cognitive Impairment (MCI) is a risk factor for Alzheimer’s disease (AD) and other forms of dementia. However, much heterogeneity concerning neuropsychological measures, prevalence and progression rates impedes distinct diagnosis and treatment implications.
Objective: Aim of the present study was the identification of specific tests providing a high certainty for stable MCI and factors that precipitate instability of MCI in a community based sample examined at three measurement points. Method: 130 participants were tested annually with an extensive test battery including measures of memory, language, executive functions, intelligence and dementia screening tests. Exclusion criteria at baseline comprised, severe cognitive deficits (e.g. diagnosis of dementia, psychiatric or neurological disease). Possible predictors for stability or instability of MCI-diagnosis were analyzed using Regression and Receiver Operating Characteristic (ROC) curve analysis. Age, IQ and APOE status were tested for moderating effects on the interaction of test performances and group membership. Results: A high prevalence of MCI (49%) was observed at baseline with a reversion rate of 18% after two years. Stability of MCI was related to performances in four measures (VLMT: delayed recall, CERAD: recall drawings, CERAD: Boston Naming Test, Benton Visual Retention Test: number of mistakes). Conversion to MCI is associated with language functions. Reversion to ‘normal’ was primarily predicted by single domain impairment. There was no significant influence of demographic, medical or genetic variables. Conclusion: The results highlight the role of repeated measurements for a reliable identification of functional neuropsychological predictors and better diagnostic reliability. In cases of high uncertainty close monitoring over time is needed in order of estimating outcome.Export Options
About this article
Cite this article as:
Ellendt Sinika, Voβ Bianca, Kohn Nils, Wagels Lisa, Goerlich S. Katharina, Drexler Eva, Schneider Frank and Habel Ute*, Predicting Stability of Mild Cognitive Impairment (MCI): Findings of a Community Based Sample, Current Alzheimer Research 2017; 14 (6) . https://dx.doi.org/10.2174/1567205014666161213120807
DOI https://dx.doi.org/10.2174/1567205014666161213120807 |
Print ISSN 1567-2050 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5828 |
Call for Papers in Thematic Issues
New Advances in the Prevention, Diagnosis, Treatment, and Rehabilitation of Alzheimer's Disease
Aims and Scope: Introduction: Alzheimer's disease (AD) poses a significant global health challenge, with an increasing prevalence that demands concerted efforts to advance our understanding and strategies for prevention, diagnosis, treatment, and rehabilitation. This thematic issue aims to bring together cutting-edge research and innovative approaches from multidisciplinary perspectives to address ...read more
Current updates on the Role of Neuroinflammation in Neurodegenerative Disorders
Neuroinflammation is an invariable hallmark of chronic and acute neurodegenerative disorders and has long been considered a potential drug target for Alzheimer?s disease (AD) and dementia. Significant evidence of inflammatory processes as a feature of AD is provided by the presence of inflammatory markers in plasma, CSF and postmortem brain ...read more
Deep Learning for Advancing Alzheimer's Disease Research
Alzheimer's disease (AD) poses a significant global health challenge, with an increasing number of individuals affected yearly. Deep learning, a subfield of artificial intelligence, has shown immense potential in various domains, including healthcare. This thematic issue of Current Alzheimer Research explores the application of deep learning techniques in advancing our ...read more
Diagnostic and therapeutic biomarkers of dementia
Dementia affects 18 million people worldwide. Dementia is a syndrome of symptoms caused by brain disease, usually chronic or progressive, clinically characterized by multiple impairments of higher cortical functions such as memory, thinking, orientation, and learning. In addition, in the course of dementia, cognitive deficits are observed, which often hinder ...read more
- Author Guidelines
- Graphical Abstracts
- Fabricating and Stating False Information
- Research Misconduct
- Post Publication Discussions and Corrections
- Publishing Ethics and Rectitude
- Increase Visibility of Your Article
- Archiving Policies
- Peer Review Workflow
- Order Your Article Before Print
- Promote Your Article
- Manuscript Transfer Facility
- Editorial Policies
- Allegations from Whistleblowers
- Announcements
Related Articles
-
Stevioside and Steviol as Starting Materials in Organic Synthesis
Current Organic Chemistry Transcription Factor CHF1/Hey2 Regulates Specific Pathways in Serum Stimulated Primary Cardiac Myocytes: Implications for Cardiac Hypertrophy
Current Genomics L-Arginine Transport and Nitric Oxide Production in Kinin Receptor B1-/- Endothelial Cells.
Protein & Peptide Letters Gender Differences in Hemodynamic Regulation and Cardiovascular Adaptations to Dynamic Exercise
Current Cardiology Reviews Phytochemical Genistein in the Regulation of Vascular Function: New Insights
Current Medicinal Chemistry Detection of Secretion Retention in the Ventilated Patient
Current Respiratory Medicine Reviews Can microRNAs be Biomarkers or Targets for Therapy of Ischemic Coronary Artery Disease in Metabolic Syndrome?
Current Drug Targets Postpartum Depression in Women with the FMR1 Premutation
Current Psychiatry Reviews Strain Imaging Echocardiography: What Imaging Cardiologists Should Know
Current Cardiology Reviews Sarcoidosis in Pregnancy and Postpartum Period
Current Respiratory Medicine Reviews Perivascular Adipose Tissue, Inflammation and Vascular Dysfunction in Obesity
Current Vascular Pharmacology How Should We Treat Hypertension and Dyslipidemia in Patients with Prediabetes?
Current Pharmaceutical Design Visceral Adiposity Measurements, Metabolic and Inflammatory Profi le in Obese Patients with and Without Type 2 Diabetes Mellitus: A Crosssectional Analysis
Current Diabetes Reviews Central Nervous System Circuitry and Peripheral Neural Sympathetic Activity Responsible for Essential Hypertension
Current Neurovascular Research Multiple Lipid-lowering Treatment in Pediatric Patients with Hyperlipidemia
Medicinal Chemistry Cardiovascular Complications in Autosomal Dominant Polycystic Kidney Disease
Current Hypertension Reviews Synthesis of Gallocatechin-3-Gallate Analogues
Letters in Organic Chemistry Histone Methylation and Transcriptional Regulation in Cardiovascular Disease
Cardiovascular & Hematological Disorders-Drug Targets Data Science Approaches to Pharmacogenetics
Current Molecular Medicine Adherence to Treatment, Arterial Stiffness and Cognitive Function in Irbesartan- Treated Newly Diagnosed Hypertensive Patients
Current Vascular Pharmacology