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. 2017 Mar;51:104–112. doi: 10.1016/j.neurobiolaging.2016.11.017

Table 2.

Cohort 2: demographic data, clinical characteristics and CSF levels of biomarkers

Sample characteristics Controls (n = 292) SCD (n = 171) MCI (n = 213)
Gender, F/M 176/116 94/77 94/119∗∗∗
Age, y 73 (5) 70 (6)∗∗∗ 71 (6)∗∗∗
MMSE 29.1 (0.9) 28.4 (1.4)∗∗∗ 27.0 (1.9)∗∗∗
APOE 1 or 2 ε4 alleles 29% 38% 49%∗∗∗
Qalb 5.9 (2.2) 6.0 (2.4) 6.5 (4.0)
Composite SUVRa 1.3 (0.3) 1.4 (0.4)∗∗ 1.7 (0.5)∗∗∗
BMI 26.5 (4.3) 25.1 (3.6) 25.4 (4.2)
Homocysteine, μmol/L 13.5 ± 4.1 12.6 ± 3.9 13.5 ± 4.1
Diabetes, yes/no 26/266 17/152 20/187
Hyperlipidemia, yes/no 124/168 22/147 19/188
Aβ42, pg/mL 561.9 (199.3) 589.6 (254.6) 470.5 (233.0)∗∗∗
Aβ40, pg/mL 4766 (1753) 4925 (1751) 4760 (1873)

Data are shown as mean (standard deviation) unless otherwise specified. Demographic factors and clinical characteristics were compared using 1-way analysis of variance and chi-square tests. Qalb was analyzed with univariate general linear models controlling for age and gender, compared with controls p < 0.05, ∗∗p < 0.01, and ∗∗∗p < 0.001.

Key: Aβ, amyloid β; BMI, body mass index; F, female; M, male; MCI, mild cognitive impairment; MMSE, Mini-Mental State Examination; Qalb, cerebrospinal fluid/plasma albumin ratio; SCD, subjective cognitive decline; SUVR, standardized uptake value ratio.

a

Normalized for the cerebellar cortex; amyloid positron emission tomography data were available from 342 subjects (129 cognitively normal elderly, 102 SCD patients, and 111 MCI patients).