TY - JOUR
T1 - Conversion pattern and predictive factor of mild cognitive impairment in elderly Koreans
AU - Shim, Sung Mi
AU - Song, Jihyun
AU - Kim, Jong Hoon
AU - Jeon, Jae Pil
N1 - Funding Information:
This study was supported by an intramural fund ( 2012-NG62002-00 ) from the Korea National Institute of Health (KNIH) of the Korea Centers for Disease Control and Prevention (KCDC). The clinical and epidemiological data used in this study were collected in support of KCDC as an extramural research program (funded to Dr. Park, MH), which was conducted in the Ansan Hospital of Korea University Medical College.
Publisher Copyright:
© 2016 Elsevier Ireland Ltd.
PY - 2016/5/1
Y1 - 2016/5/1
N2 - Objective: We aimed to understand conversion characteristics of mild cognitive impairment (MCI) in elderly Koreans. Methods: We analyzed clinical data of 760 individuals who participated in a two-year follow-up study. Neuropsychological assessments and clinical examination were conducted in the follow-ups. Logistic regression model was used to estimate predictive risk factors of MCI conversion. Result: The participants at baseline (n = 760) represented 462 cognitively normal individuals (60.8%), 286 individuals with MCI (37.6%), and 12 individuals with dementia (1.6%). Among the cognitively normal individuals (n = 462), 108 (23.4%) progressed to MCI during the two-year follow-up period, including 92 with amnestic mild cognitive impairment (aMCI; 19.9%) and 16 with non-amnestic mild cognitive impairment (non-aMCI; 3.5%). Interestingly, 3.7% of participants with aMCI converted to non-aMCI, while 45.5% of participants with non-aMCI converted to aMCI. Moreover, a higher proportion of non-aMCI (27.3%) reverted to a cognitively normal state, compared to aMCI participants (18.6%), indicating that non-amnestic cognitive impairment is more unstable than amnestic cognitive impairment, and probably converges toward aMCI. Additionally, we found that weight loss was associated with incident MCI and future MCI. Weight loss was negatively correlated with Clinical Dementia Rating (p = 0.005), and significantly associated with a higher risk of MCI conversion from a cognitively normal state (OR = 1.10, 95% CI: 1.00-1.21, p = 0.042). Conclusion: This study supports that non-amnestic MCI is prone to converge toward amnestic MCI, and the elderly people with weight loss are at risk for developing cognitive decline.
AB - Objective: We aimed to understand conversion characteristics of mild cognitive impairment (MCI) in elderly Koreans. Methods: We analyzed clinical data of 760 individuals who participated in a two-year follow-up study. Neuropsychological assessments and clinical examination were conducted in the follow-ups. Logistic regression model was used to estimate predictive risk factors of MCI conversion. Result: The participants at baseline (n = 760) represented 462 cognitively normal individuals (60.8%), 286 individuals with MCI (37.6%), and 12 individuals with dementia (1.6%). Among the cognitively normal individuals (n = 462), 108 (23.4%) progressed to MCI during the two-year follow-up period, including 92 with amnestic mild cognitive impairment (aMCI; 19.9%) and 16 with non-amnestic mild cognitive impairment (non-aMCI; 3.5%). Interestingly, 3.7% of participants with aMCI converted to non-aMCI, while 45.5% of participants with non-aMCI converted to aMCI. Moreover, a higher proportion of non-aMCI (27.3%) reverted to a cognitively normal state, compared to aMCI participants (18.6%), indicating that non-amnestic cognitive impairment is more unstable than amnestic cognitive impairment, and probably converges toward aMCI. Additionally, we found that weight loss was associated with incident MCI and future MCI. Weight loss was negatively correlated with Clinical Dementia Rating (p = 0.005), and significantly associated with a higher risk of MCI conversion from a cognitively normal state (OR = 1.10, 95% CI: 1.00-1.21, p = 0.042). Conclusion: This study supports that non-amnestic MCI is prone to converge toward amnestic MCI, and the elderly people with weight loss are at risk for developing cognitive decline.
KW - Mild cognitive impairment
KW - Predictive factor
KW - Weight loss
UR - http://www.scopus.com/inward/record.url?scp=84959297465&partnerID=8YFLogxK
U2 - 10.1016/j.archger.2016.02.007
DO - 10.1016/j.archger.2016.02.007
M3 - Article
C2 - 26896864
AN - SCOPUS:84959297465
VL - 64
SP - 146
EP - 150
JO - Archives of Gerontology and Geriatrics
JF - Archives of Gerontology and Geriatrics
SN - 0167-4943
ER -