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Open Access 01-12-2016 | Erratum
Erratum to: Exploring the effects of coexisting amyloid in subcortical vascular cognitive impairment
Published in: BMC Neurology | Issue 1/2016
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After publication of the original article [1], it came to the authors’ attention that there were data entry errors in the following variables: age, sex, education, MOCA, WML volume, and ADAS-Cog. Changes have been made to Tables 1, 2, 3 and 4, to reflect the updated results, which are published in their correct version here. However, the authors note that the study conclusions have not changed.
Table 1
Descriptive characteristic
|
Variable
|
Mean
|
SD
|
|---|---|---|
|
Age
|
71.73
|
7.91
|
|
Female Sex, No. (%)
|
7
|
32
|
|
Education, No. (%)
|
||
|
High school education
|
6
|
27
|
|
Trade or professional certificate or diploma
|
2
|
9
|
|
University education
|
14
|
64
|
|
MMSE (max. score 30)
|
27.50
|
1.95
|
|
MOCA (max. score 30)
|
23.32
|
2.08
|
|
WHR
|
0.91
|
0.08
|
|
BMI
|
26.95
|
4.78
|
|
PIB-positive, No. (%)
|
6
|
27.27
|
|
Global PIB BPND
|
0.07
|
0.23
|
|
WML volume (mm3), n = 16
|
2004.40
|
2761.15
|
|
Cognitive Assessments
|
||
|
ADAS-Cog (max. score 70)
|
9.63
|
3.88
|
|
Exit-25 (max. score 50)
|
10.59
|
4.38
|
|
Stroop CW-C, sec.
|
61.44
|
26.01
|
|
Trails B-A, sec.
|
50.51
|
24.84
|
|
Digits F-B, sec.
|
3.23
|
2.79
|
Table 2
Correlation matrix
|
PIB BPND
|
Age
|
Education
|
APOE ε4
|
ADAS-Cog
|
MOCA
|
EXIT 25
|
Digits
|
Stroop
|
Trails
|
|
|---|---|---|---|---|---|---|---|---|---|---|
|
PIB BPND
|
||||||||||
|
Age
|
-0.00
|
|||||||||
|
Education
|
-0.23
|
-0.39
|
||||||||
|
APOE ε4
|
0.36
|
0.09
|
-0.20
|
|||||||
|
ADAS-Cog
|
0.53*
|
0.16
|
-0.11
|
0.53*
|
||||||
|
MOCA
|
-0.54*
|
-0.20
|
0.06
|
-0.11
|
-0.45*
|
|||||
|
EXIT-25
|
0.13
|
0.20
|
-0.20
|
0.25
|
0.49*
|
-0.52*
|
||||
|
Digits
|
0.02
|
0.17
|
-0.35
|
-0.45*
|
-0.30
|
0.13
|
-0.04
|
|||
|
Stroop
|
0.17
|
-0.06
|
0.02
|
-0.11
|
0.27
|
-0.29
|
0.34
|
0.04
|
||
|
Trails
|
0.19
|
-0.08
|
-0.25
|
0.48*
|
0.15
|
-0.18
|
0.29
|
0.01
|
0.13
|
Table 3
Multiple linear regression models assessing the contribution of PIB retention on ADAS-Cog
|
Independent variables
|
R2
|
Adjusted R2
|
R2 Change
|
Unstandardized B (Standard Error)
|
Standardized β
|
P- Value
|
|---|---|---|---|---|---|---|
|
Model 1
|
||||||
|
PIB BPND
|
0.28
|
0.24
|
-
|
9.09 (3.29)
|
0.53
|
0.01
|
|
Model 2
|
||||||
|
Step 1
|
0.30
|
0.18
|
0.30
|
|||
|
Age
|
0.07 (0.11)
|
0.14
|
0.54
|
|||
|
Education
|
0.41 (1.86)
|
0.05
|
0.83
|
|||
|
APOE ε4
|
4.30 (1.64)
|
0.53
|
0.02
|
|||
|
Step 2
|
0.44
|
0.31
|
0.15*
|
|||
|
Age
|
0.09 (0.10)
|
0.18
|
0.37
|
|||
|
Education
|
1.15 (1.74)
|
0.14
|
0.52
|
|||
|
APOE ε4
|
3.20 (1.59)
|
0.39
|
0.06
|
|||
|
PIB BPND
|
7.23 (3.42)
|
0.42
|
0.05
|
|||
Table 4
Multiple linear regression models assessing the contribution of PIB retention on MOCA
|
Independent variables
|
R2
|
Adjusted R2
|
R2 Change
|
Unstandardized B (Standard Error)
|
Standardized β
|
P- Value
|
|---|---|---|---|---|---|---|
|
Model 1
|
||||||
|
PIB BPND
|
0.29
|
0.26
|
-
|
-5.00 (1.74)
|
-0.54
|
0.01
|
|
Model 2
|
||||||
|
Step 1
|
0.05
|
-0.11
|
0.05
|
|||
|
Age
|
-0.06 (0.07)
|
-0.21
|
0.41
|
|||
|
Education
|
-0.22 (1.16)
|
-0.05
|
0.85
|
|||
|
APOE ε4
|
-0.43 (1.02)
|
-0.10
|
0.68
|
|||
|
Step 2
|
0.37
|
0.22
|
0.32*
|
|||
|
Age
|
-0.07 (0.06)
|
-0.28
|
0.20
|
|||
|
Education
|
-0.80 (0.99)
|
-0.18
|
0.43
|
|||
|
APOE ε4
|
0.44 (0.91)
|
0.10
|
0.63
|
|||
|
PIB BPND
|
-5.71 (1.95)
|
-0.62
|
0.01
|
|||