TY - JOUR
T1 - Factors and brain imaging features associated with cognition in oldest-old patients with Alzheimer-type dementia
AU - Hanyu, Haruo
AU - Koyama, Yumi
AU - Umekida, Kazuki
AU - Momose, Toshimitsu
AU - Watanabe, Sadayoshi
AU - Sato, Tomohiko
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/3/15
Y1 - 2024/3/15
N2 - Background: The underlying pathophysiology of cognitive dysfunction in oldest-old patients with Alzheimer-type dementia (AD) has not been clarified to date. We aimed to determine the factors and brain imaging features associated with cognition in oldest-old patients with AD. Methods: We enrolled 456 consecutive outpatients with probable AD (145 men and 311 women, age range: 51–95 years). Demographic factors, such as education level, disease duration at initial visit, body mass index, comorbidities, frailty, and leisure activity, and brain imaging features, including severity of medial temporal lobe (MTL) atrophy, white matter lesions and infarcts, and frequency of posterior cerebral hypoperfusion were compared among pre-old (≤ 74 years), old (75 to 84 years), and oldest-old (≥ 85 years) subgroups. Results: The oldest-old subgroup showed significantly longer disease duration, lower education level, more severe frailty, less leisure activity, worse cognitive impairment, a tendency of slower progression of cognitive decline, greater MTL atrophy, more severe white matter hyperintensities and infarcts, and lower frequency of posterior hypoperfusion than the younger age subgroups. Regarding the brain imaging subtypes, there were significantly more patients with the limbic-predominant subtype and fewer patients with the hippocampal-sparing subtype in the oldest-old AD group than the pre-old AD group. Conclusions: Oldest-old patients with AD show different factors and brain imaging features associated with cognition from pre-old and old patients. Our results are expected to provide useful information towards understanding the pathophysiology of oldest-old patients with AD, and for determining their clinical diagnosis and appropriate management methods.
AB - Background: The underlying pathophysiology of cognitive dysfunction in oldest-old patients with Alzheimer-type dementia (AD) has not been clarified to date. We aimed to determine the factors and brain imaging features associated with cognition in oldest-old patients with AD. Methods: We enrolled 456 consecutive outpatients with probable AD (145 men and 311 women, age range: 51–95 years). Demographic factors, such as education level, disease duration at initial visit, body mass index, comorbidities, frailty, and leisure activity, and brain imaging features, including severity of medial temporal lobe (MTL) atrophy, white matter lesions and infarcts, and frequency of posterior cerebral hypoperfusion were compared among pre-old (≤ 74 years), old (75 to 84 years), and oldest-old (≥ 85 years) subgroups. Results: The oldest-old subgroup showed significantly longer disease duration, lower education level, more severe frailty, less leisure activity, worse cognitive impairment, a tendency of slower progression of cognitive decline, greater MTL atrophy, more severe white matter hyperintensities and infarcts, and lower frequency of posterior hypoperfusion than the younger age subgroups. Regarding the brain imaging subtypes, there were significantly more patients with the limbic-predominant subtype and fewer patients with the hippocampal-sparing subtype in the oldest-old AD group than the pre-old AD group. Conclusions: Oldest-old patients with AD show different factors and brain imaging features associated with cognition from pre-old and old patients. Our results are expected to provide useful information towards understanding the pathophysiology of oldest-old patients with AD, and for determining their clinical diagnosis and appropriate management methods.
KW - Alzheimer-type dementia (AD)
KW - Cognition
KW - Magnetic resonance imaging
KW - Risk factors
KW - Single-photon emission computed tomography
UR - https://www.scopus.com/pages/publications/85185375341
UR - https://www.scopus.com/pages/publications/85185375341#tab=citedBy
U2 - 10.1016/j.jns.2024.122929
DO - 10.1016/j.jns.2024.122929
M3 - Article
C2 - 38377704
AN - SCOPUS:85185375341
SN - 0022-510X
VL - 458
JO - Journal of the Neurological Sciences
JF - Journal of the Neurological Sciences
M1 - 122929
ER -