Rate of progression of mild cognitive impairment to dementia – meta-analysis of 41 robust inception cohort studies
Alex J. Mitchell,M. Shiri-Feshki +1 more
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TLDR
The objective of this study is to quantify the risk of developing dementia in those with mild cognitive impairment (MCI) and to establish a biomarker for dementia in these patients.Abstract:
Objective: To quantify the risk of developing dementia in those with mild cognitive impairment (MCI).
Method: Meta-analysis of inception cohort studies.
Results: Forty-one robust cohort studies were identified. To avoid heterogeneity clinical studies, population studies and clinical trials were analysed separately. Using Mayo defined MCI at baseline and adjusting for sample size, the cumulative proportion who progressed to dementia, to Alzheimer’s disease (AD) and to vascular dementia (VaD) was 39.2%, 33.6% and 6.2%, respectively in specialist settings and 21.9%, 28.9% and 5.2%, respectively in population studies. The adjusted annual conversion rate (ACR) from Mayo defined MCI to dementia, AD and VaD was 9.6%, 8.1% and 1.9%, respectively in specialist clinical settings and 4.9%, 6.8% and 1.6% in community studies. Figures from non-Mayo defined MCI and clinical trials are also reported.
Conclusion: The ACR is approximately 5–10% and most people with MCI will not progress to dementia even after 10 years of follow-up.read more
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References
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Journal ArticleDOI
Mild Cognitive Impairment: Clinical Characterization and Outcome
Ronald C. Petersen,Glenn E. Smith,Stephen C. Waring,Robert J. Ivnik,Eric G. Tangalos,Emre Kokmen +5 more
TL;DR: Patients who meet the criteria for MCI can be differentiated from healthy control subjects and those with very mild AD, and appear to constitute a clinical entity that can be characterized for treatment interventions.
Journal ArticleDOI
Mild cognitive impairment as a diagnostic entity
TL;DR: It is suggested that the diagnosis of mild cognitive impairment can be made in a fashion similar to the clinical diagnoses of dementia and AD, and an algorithm is presented to assist the clinician in identifying subjects and subclassifying them into the various types of MCI.
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Ronald C. Petersen,Rachelle S. Doody,Alexander Kurz,Richard C. Mohs,John C. Morris,Peter V. Rabins,Karen Ritchie,Martin N. Rossor,Leon J. Thal,Bengt Winblad +9 more
TL;DR: A group of experts on aging and MCI from around the world in the fields of neurology, psychiatry, geriatrics, neuropsychology, neuroimaging, neuropathology, clinical trials, and ethics was convened to summarize the current state of the field of MCI.
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Bengt Winblad,Katie Palmer,Miia Kivipelto,Vesna Jelic,Laura Fratiglioni,Lars-Olof Wahlund,Agneta Nordberg,Lars Bäckman,Marilyn S. Albert,Ove Almkvist,Hiroyuki Arai,Hans Basun,Kaj Blennow,M. J. de Leon,Charles DeCarli,Timo Erkinjuntti,Ezio Giacobini,Caroline Graff,John Hardy,Clifford R. Jack,Anthony F. Jorm,Karen Ritchie,C M van Duijn,Pieter Jelle Visser,Ronald C. Petersen +24 more
TL;DR: A multidisciplinary, international group of experts discussed the current status and future directions of MCI, with regard to clinical presentation, cognitive and functional assessment, and the role of neuroimaging, biomarkers and genetics.
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Mild cognitive impairment
Serge Gauthier,Barry Reisberg,Michael Zaudig,Ronald C. Petersen,Karen Ritchie,Karl Broich,Sylvie Belleville,Henry Brodaty,David A. Bennett,Howard Chertkow,Jeffrey L. Cummings,Mony J. de Leon,Howard Feldman,Mary Ganguli,Harald Hampel,Philip Scheltens,Mary C. Tierney,Peter J. Whitehouse,Bengt Winblad +18 more
TL;DR: Mild cognitive impairment can be regarded as a risk state for dementia, and its identification could lead to secondary prevention by controlling risk factors such as systolic hypertension.
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