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Table 5 Association between affective sub-syndromes with AD biomarkers and CSVD markers in whole sample

From: Cerebrospinal fluid amyloid-β and cerebral microbleed are associated with distinct neuropsychiatric sub-syndromes in cognitively impaired patients

 

Model 1a

Model 2b

Model 3c

Estimate (95% CI)

P

Estimate (95% CI)

P

Estimate (95% CI)

P

Age

-0.013 (-0.037, 0.011)

0.301

-

-

-

-

Sex

0.302 (-0.072, 0.676)

0.113

-

-

-

-

Education

-0.039 (-0.110, 0.031)

0.276

-

-

-

-

APOE ε4 carrier status

0.240 (-0.133, 0.614)

0.270

-

-

-

-

Clinical diagnosis

0.291 (-0.118, 0.701)

0.163

-

-

-

-

42 (pg/ml)

-0.006 (-0.009, -0.002)

0.003

-0.006 (-0.010, -0.002)

0.006

-0.006 (-0.011, -0.002)

0.005

p-tau181 (pg/ml)

0.004 (-0.003, 0.010)

0.259

0.002 (-0.005, 0.009)

0.499

-

-

t-tau (pg/ml)

0.001 (-0.002, 0.005)

0.359

0.001 (-0.002, 0.005)

0.522

-

-

p-tau181/Aβ42

0.711 (-0.035, 1.458)

0.062

0.576 (-0.252, 1.405)

0.172

-

-

t-tau/Aβ42

0.222 (-0.130, 0.574)

0.216

0.183 (-0.219, 0.585)

0.371

-

-

PVL-WMH score

-0.127 (-0.350, 0.096)

0.263

-0.084 (-0.344, 0.176)

0.526

-

-

DWM-WMH score

-0.003 (-0.260, 0.172)

0.691

0.006 (-0.239, 0.251)

0.962

-

-

BG-PVS score

0.181 (-0.228, 0.590)

0.384

0.228 (-0.183, 0.640)

0.276

-

-

CSO-PVS score

-0.164 (-0.407, 0.080)

0.187

-0.113 (-0.360, 0.135)

0.372

-

-

Microbleeds

0.345 (-0.144, 0.833)

0.167

0.281 (-0.190, 0.751)

0.242

-

-

Lacune

0.139 (-0.335, 0.612)

0.565

0.180 (-0.308, 0.668)

0.468

-

-

  1. aModel 1 is univariate
  2. bModel 2 is univariate (adjusted for age, sex, education, APOE ε4 carrier status, and clinical diagnosis)
  3. cModel 3 is step-wise multivariable regression model (adjusted for age, sex, education, APOE ε4 carrier status, and clinical diagnosis)