Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2017 Mar 28;14(3):e1002267.
doi: 10.1371/journal.pmed.1002267. eCollection 2017 Mar.

Neuropathological diagnoses and clinical correlates in older adults in Brazil: A cross-sectional study

Affiliations

Neuropathological diagnoses and clinical correlates in older adults in Brazil: A cross-sectional study

Claudia K Suemoto et al. PLoS Med. .

Abstract

Background: Clinicopathological studies are important in determining the brain lesions underlying dementia. Although almost 60% of individuals with dementia live in developing countries, few clinicopathological studies focus on these individuals. We investigated the frequency of neurodegenerative and vascular-related neuropathological lesions in 1,092 Brazilian admixed older adults, their correlation with cognitive and neuropsychiatric symptoms, and the accuracy of dementia subtype diagnosis.

Methods and findings: In this cross-sectional study, we describe clinical and neuropathological variables related to cognitive impairment in 1,092 participants (mean age = 74 y, 49% male, 69% white, and mean education = 4 y). Cognitive function was investigated using the Clinical Dementia Rating (CDR) and the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE); neuropsychiatric symptoms were evaluated using the Neuropsychiatric Inventory (NPI). Associations between neuropathological lesions and cognitive impairment were investigated using ordinal logistic regression. We developed a neuropathological comorbidity (NPC) score and compared it to CDR, IQCODE, and NPI scores. We also described and compared the frequency of neuropathological diagnosis to clinical diagnosis of dementia subtype. Forty-four percent of the sample met criteria for neuropathological diagnosis. Among these participants, 50% had neuropathological diagnoses of Alzheimer disease (AD), and 35% of vascular dementia (VaD). Neurofibrillary tangles (NFTs), hippocampal sclerosis, lacunar infarcts, hyaline atherosclerosis, siderocalcinosis, and Lewy body disease were independently associated with cognitive impairment. Higher NPC scores were associated with worse scores in the CDR sum of boxes (β = 1.33, 95% CI 1.20-1.46), IQCODE (β = 0.14, 95% CI 0.13-0.16), and NPI (β = 1.74, 95% CI = 1.33-2.16). Compared to neuropathological diagnoses, clinical diagnosis had high sensitivity to AD and high specificity to dementia with Lewy body/Parkinson dementia. The major limitation of our study is the lack of clinical follow-up of participants during life.

Conclusions: NFT deposition, vascular lesions, and high NPC scorewere associated with cognitive impairment in a unique Brazilian sample with low education. Our results confirm the high prevalence of neuropathological diagnosis in older adults and the mismatch between clinical and neuropathological diagnoses.

PubMed Disclaimer

Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Mosaic plot showing the relationship between neuropathological classification and dementia status according to the Clinical Dementia Rating (CDR) scale: CDR = 0: No dementia; CDR = 0.5: Questionable dementia; And CDR ≥ 1: Dementia.
AD, Alzheimer disease; LBD, Lewy body disease; VaD, vascular disease.
Fig 2
Fig 2. Number of participants in each stratum of the Neuropathological Comorbidity Score (NPCS) according to dementia status defined by the CDR scale (CDR = 0: No dementia; CDR = 0.5: Questionable dementia; CDR ≥ 1: Dementia).
Fig 3
Fig 3. Predicted values of (A) the CDR Sum of Boxes (CDR-SOB), (B) the Informant Questionnaire on Cognitive Decline in the Elderly (IQCODE), and (C) the Neuropsychiatric Inventory (NPI) considering the Neuropathological Comorbidity Score (NPCS) without Alzheimer disease pathology for participants with Neurofibrillary Tangle (NFT) score = 0 (Braak NFT stage = 0–II: Blue line), NFT score = 1 (Braak NFT stage = III–IV: Red line), and NFT score = 7 (Braak NFT stage = V–VI: Green line).
Predicted values of cognitive and neuropsychiatric outcomes were obtained by multivariate linear models adjusted for age, sex, and education.

References

    1. Prince M, Bryce R, Albanese E, Wimo A, Ribeiro W, Ferri CP. The global prevalence of dementia: a systematic review and metaanalysis. Alzheimers Dement. 2013;9:63–75. 10.1016/j.jalz.2012.11.007 - DOI - PubMed
    1. Kalaria RN, Maestre GE, Arizaga R, Friedland RP, Galasko D, Hall KT, et al. Alzheimer's disease and vascular dementia in developing countries: prevalence, management, and risk factors. Lancet Neurology. 2008;7:812–26. 10.1016/S1474-4422(08)70169-8 - DOI - PMC - PubMed
    1. Nitrini R, Bottino CMC, Albala C, Custodio Capunay NS, Ketzoian C, Llibre Rodriguez JJ, et al. Prevalence of dementia in Latin America: a collaborative study of population-based cohorts. International Psychogeriatrics. 2009;21:622–30. 10.1017/S1041610209009430 - DOI - PMC - PubMed
    1. Duyckaerts C, Delatour B, Potier MC. Classification and basic pathology of Alzheimer disease. Acta Neuropathol. 2009;118:5–36. 10.1007/s00401-009-0532-1 - DOI - PubMed
    1. Cairns NJ, Bigio EH, Mackenzie IR, Neumann M, Lee VM, Hatanpaa KJ, et al. Neuropathologic diagnostic and nosologic criteria for frontotemporal lobar degeneration: consensus of the Consortium for Frontotemporal Lobar Degeneration. Acta Neuropathol. 2007;114:5–22. 10.1007/s00401-007-0237-2 - DOI - PMC - PubMed

Publication types