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Table 6 Association between apathy 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

0.027 (-0.008, 0.062)

0.132

-

-

-

-

Sex

0.826 (0.286, 1.366)

0.003

-

-

-

-

Education

-0.115 (-0.217, -0.013)

0.027

-

-

-

-

APOE ε4 carrier status

-0.175 (-0.719, 0.369)

0.527

-

-

-

-

Clinical diagnosis

1.648 (1.072, 2.225)

<0.001

-

-

  

42 (pg/ml)

-0.005 (-0.010, 0.001)

0.082

-0.002 (-0.008, 0.004)

0.509

-

-

p-tau181 (pg/ml)

0.003 (-0.006, -0.012)

0.527

0.000 (-0.010, 0.010)

0.974

-

-

t-tau (pg/ml)

0.003 (-0.001, 0.008)

0.132

0.001 (-0.004, 0.006)

0.596

-

-

p-tau181/Aβ42

0.515 (-0.573, 1.603)

0.353

0.037 (-1.121, 1.195)

0.950

-

-

t-tau/Aβ42

0.293 (-0.220, 0.805)

0.262

0.372 (0.278, 0.618)

0.044

0.636 (0.078, 1.194)

0.041

PVL-WMH score

0.074 (-0.250, 0.398)

0.653

-0.071 (-0.434, 0.291)

0.699

-

-

DWM-WMH score

0.113 (-0.202, 0.427)

0.482

0.008 (-0.333, 0.350)

0.962

-

-

BG-PVS score

-0.032 (-0.627, 0.563)

0.915

-0.052 (-0.626, 0.522)

0.860

-

-

CSO-PVS score

-0.136 (-0.490, 0.218)

0.452

-0.043 (-0.389, 0.302)

0.805

-

-

Microbleeds

0.976 (0.270, 1.682)

0.007

0.695 (0.041, 1.349)

0.037

0.693 (0.046, 1.340)

0.036

Lacune

0.620 (-0.066, 1.306)

0.076

0.522 (-0.175, 1.218)

0.142

-

-

  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)