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Published on: December 18, 2016
Neuropathologic outcome of mild cognitive impairment following progression to clinical dementia
Gregory A Jicha1, Joseph E Parisi, Dennis W Dickson
1Alzheimer's Disease Research Center and Department of Neurology, Mayo Clinic College of Medicine, 200 First Street SW, Rochester, MN 55905, USA.
Background:
The pathologic outcome of patients diagnosed with mild cognitive impairment (MCI) following progression to dementia is poorly understood.
Objective:
To determine the pathologic substrates of dementia in cases with prior diagnosis of amnestic MCI.
Design And Setting:
Community-based cohort.
Patients:
Thirty-four subjects followed up prospectively as part of a community-based study who were diagnosed with amnestic MCI, progressed to clinical dementia, and underwent subsequent postmortem brain analysis.
Main Outcome Measures:
Neuropathologic analyses resulted in assignment of a primary pathologic diagnosis and included staging of Alzheimer pathologic abnormalities and identification of contributing vascular disease, Lewy bodies, and argyrophilic grains.
Results:
Although the majority of subjects progressed both clinically and pathologically to Alzheimer disease (AD), 10 (29%) of them developed non-AD primary pathologic abnormalities. All of the cases were found to have sufficient pathologic abnormalities in mesial temporal lobe structures to account for their amnestic symptoms regardless of the cause. Most subjects were found to have secondary contributing pathologic abnormalities in addition to primary pathologic diagnoses. No significant differences between subjects with and without neuropathologically proven AD were detected in demographic variables, apolipoprotein E genotype, or cognitive test measures at onset of MCI, onset of dementia, or last clinical evaluation.
Conclusions:
The neuropathologic outcome of amnestic MCI following progression to dementia is heterogeneous, and it includes AD at a high frequency. Complex neuropathologic findings including 2 or more distinct pathologic entities contributing to dementia may be common in community-based cohorts. Neither demographic variables nor cognitive measures had predictive value in determining which patients diagnosed with MCI will develop the neuropathologic features of AD.
Insights
The causes of dementia after mild cognitive impairment (MCI) are diverse, with Alzheimer's disease (AD) being common but not universal. Pathological findings vary, and cognitive measures do not predict AD development.
Area of Science:
- Neuropathology
- Neurodegenerative Diseases
- Cognitive Impairment
Background:
- The progression from mild cognitive impairment (MCI) to dementia is not fully understood at a pathological level.
- Investigating the underlying brain changes is crucial for understanding dementia development.
Purpose of the Study:
- To identify the specific pathological causes of dementia in individuals previously diagnosed with amnestic MCI.
- To analyze the neuropathological substrates contributing to cognitive decline.
Main Methods:
- A community-based cohort of 34 individuals with amnestic MCI who progressed to dementia were studied.
- Postmortem brain analysis was performed to determine primary and secondary pathological diagnoses.
- Neuropathologic assessments included staging of Alzheimer's disease (AD) pathology and identification of vascular disease, Lewy bodies, and argyrophilic grains.
Main Results:
- While most subjects (71%) progressed to Alzheimer's disease (AD), 29% showed non-AD primary pathologies.
- All cases had mesial temporal lobe abnormalities explaining amnestic symptoms, irrespective of the primary cause.
- Many subjects had multiple contributing pathologies, and demographic/cognitive factors did not predict AD neuropathology.
Conclusions:
- The neuropathological outcome following amnestic MCI is heterogeneous, with a high frequency of AD but also other pathologies.
- Complex, multifactorial neuropathology is common in community-based dementia cohorts.
- Predicting the specific neuropathological features of AD in MCI patients using current demographic or cognitive data is not feasible.
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