Nonamnestic mild cognitive impairment progresses to dementia with Lewy bodies
Open accessAbstract
OBJECTIVE: To determine the rate of progression of mild cognitive impairment (MCI) to dementia with Lewy bodies (DLB). METHODS: We followed 337 patients with MCI in the Mayo Alzheimer's Disease Research Center (range 2-12 years). Competing risks survival models were used to examine the rates of progression to clinically probable DLB and Alzheimer disease (AD). A subset of patients underwent neuropathologic examination. RESULTS: In this clinical cohort, 116 remained as MCI, while 49 progressed to probable DLB, 162 progressed to clinically probable AD, and 10 progressed to other dementias. Among nonamnestic MCI, progression rate to probable DLB was 20 events per 100 person-years and to probable AD was 1.6 per 100 person-years. Among amnestic MCI, progression rate to probable AD was 17 events per 100 person-years, and to DLB was 1.5 events per 100 person-years. In 88% of those who developed probable DLB, the baseline MCI diagnosis included attention and/or visuospatial deficits. Those who developed probable DLB were more likely to have baseline daytime sleepiness and subtle parkinsonism. In 99% of the clinically probable AD group, the baseline MCI diagnosis included memory impairment. Neuropathologic confirmation was obtained in 24 of 30 of those with clinically probable AD, and in 14 of 18 of those with clinically probable DLB. CONCLUSION: In a clinical sample, patients with nonamnestic MCI were more likely to develop DLB, and those with amnestic MCI were more likely to develop probable AD.
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The lack of objective tests of other cognitive domains reduces the ability to detect cognitive impairment profiles that might identify distinct subtypes of MCI that vary in clinical and biological characteristics.
“Finally, the lack of objective tests of other cognitive domains reduces the ability to detect cognitive impairment profiles that might identify distinct subtypes of MCI that vary in clinical and biological characteristics [19–21].”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [19]
One caveat of our study was the absence of assessing other cognitive domains like visuospatial functions.
“One caveat of our study was the absence of assessing other cognitive domains like that of visuospatial functions, particularly since we have previously identified a visuospatial MCI subtype [31] and Ferman et al. [19] have shown that baseline MCI diagnoses based on visuospatial deficits reliably predict development of dementia with Lewy bodies.”
From Neuropsychological Criteria for Mild Cognitive Impairment Improves Diagnostic Precision, Biomarker Associations, and Progression Rates (2014) · cites this paper as [19]
Cites
A New Method for Measuring Daytime Sleepiness: The Epworth Sleepiness Scale
Johns, M. W. (1991) · Sleep · doi:10.1093/sleep/14.6.540 · Cited by 17,364 · see citing works
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980 · see citing works
Self-citationDiagnosis and management of dementia with Lewy bodies: Third report of the DLB consortium
McKeith, I. G., Dickson, D. W., Lowe, J., Emre, M., O'Brien, J. T., Feldman, H., Cummings, J., Duda, J. E., Lippa, C., Perry, E. K., et al. (2005) · Neurology · doi:10.1212/01.wnl.0000187889.17253.b1 · Cited by 5,069 · see citing works
Self-citationMitchell, A. J., & Shiri‐Feshki, M. (2009) · Acta Psychiatrica Scandinavica · doi:10.1111/j.1600-0447.2008.01326.x · Cited by 1,659 · see citing works
Mild Cognitive Impairment: Ten Years Later
Petersen, R. C., Roberts, R. O., Knopman, D. S., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Smith, G. E., & Jack, C. R. (2009) · Archives of Neurology · doi:10.1001/archneurol.2009.266 · Cited by 1,447 · see citing works
Self-citationBoeve, B. F., Silber, M. H., Ferman, T. J., Lin, S. C., Benarroch, E. E., Schmeichel, A. M., Ahlskog, J. E., Caselli, R. J., Jacobson, S., Sabbagh, M., et al. (2013) · Sleep Medicine · doi:10.1016/j.sleep.2012.10.015 · Cited by 393 · see citing works
Self-citationMayo's older Americans normative studies: updated AVLT norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · Clinical Neuropsychologist · doi:10.1080/13854049208401880 · Cited by 310 · see citing works
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Bondi, M. W., Initiative, F. T. A. D. N., Edmonds, E. C., Jak, A. J., Clark, L. R., Delano-Wood, L., McDonald, C. R., Nation, D. A., Libon, D. J., Au, R., et al. (2014) · Journal of Alzheimer's Disease · doi:10.3233/jad-140276 · Cited by 750 · see citing works
Subtyping of mild cognitive impairment using a deep learning model based on brain atrophy patterns
Kwak, K., Giovanello, K. S., Bozoki, A., Styner, M., & Dayan, E. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100467 · Cited by 47 · see citing works
Bangen, K. J., Initiative, F. T. A. D. N., Clark, A. L., Werhane, M., Edmonds, E. C., Nation, D. A., Evangelista, N., Libon, D. J., Bondi, M. W., & Delano-Wood, L. (2016) · Journal of Alzheimer's Disease · doi:10.3233/jad-150900 · Cited by 51 · see citing works
- Authors
- Ferman, T. J., Smith, G. E., Kantarci, K., Boeve, B. F., Pankratz, V. S., Dickson, D. W., Graff-Radford, N. R., Wszolek, Z., Van Gerpen, J., Uitti, R., Pedraza, O., Murray, M. E., Aakre, J., Parisi, J., Knopman, D. S., & Petersen, R. C.
- Affiliations
- Mayo Clinic (US)
- From the Departments of Psychiatry and Psychology (T.J.F., O.P.), Pathology (D.W.D., M.E.M.), and Neurology (N.R.G.-R, Z.W., J.V.G., R.U.), Mayo Clinic, Jacksonville, FL; and Departments of Psychiatry and Psychology (G.E.S.), Radiology (K.K.), Neurology (B.F.B., D.S.K., R.C.P.), Health Sciences Research (V.S.P., J.A.), and Laboratory Medicine and Pathology (J.P.), Mayo Clinic, Rochester, MN.
- ORCID
- Venue
- Neurology
- Published
- 2013-12-03
- Volume
- 81
- Issue
- 23
- Pages
- 2032-2038
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC3854825
- OpenAlex
- W2148434166
- Cited by
- 236
- References
- 7
- Citations by year
- 2026: 10 · 2025: 13 · 2024: 19 · 2023: 20 · 2022: 21 · 2021: 25 · 2020: 21 · 2019: 21 · 2018: 15 · 2017: 18 · 2016: 18 · 2015: 25 · 2014: 10
- FWCI
- 12.56
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institute on Aging (R01AG015866, P50‐AG16574, U01-AG0678, P50AG016574)
- National Institute of Neurological Disorders and Stroke (P50 NS72187-01, P50NS072187)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- non-amnestic mild cognitive impairment, amnestic mild cognitive impairment, dementia with Lewy bodies, Alzheimer's disease, conversion to dementia, competing risks, attention deficits, visuospatial deficits, daytime sleepiness, parkinsonism, neuropathology, memory impairment
- MeSH terms
- Aged, Aged, 80 and over, Amnesia, Female, Follow-Up Studies, Humans, Longitudinal Studies, Male, Cohort Studies, Disease Progression, Lewy Body Disease, Cognitive Dysfunction
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