Table 3.
Full linear mixed-effects models and growth curve models between AV45 standard uptake value ratio (SUVR), white matter hyperintensity (WMH) volume, and cortical thickness by clinical diagnosis
| Cortical thickness | Cortical thinning rate | |||
|---|---|---|---|---|
| Intercept | B = 2.73 [2.41, 3.05] P < .001 | B = 2.72 [2.36, 3.07] P < .001 | B = −0.053 [−0.198, 0.092] P = .39 | B = −0.048 [−0.209, 0.113] P = .21 |
| Clinical diagnosis | BAD = 0.38 [0.08, 0.68] BMCI = 0.18 [−0.06, 0.41] P = .048 |
BAD = 0.43 [0.03, 0.83] BMCI = 0.17 [−0.14, 0.47] P = .103 |
BAD = −0.009 [−0.149, 0.132] BMCI = −0.005 [−0.138, 0.128] P = .99 |
BAD = −0.072 [−0.283, 0.140] BMCI = −0.072 [−0.243, 0.103] P = .66 |
| WMH volume | B = 3.3E-5 [−0.002, 0.002] P = .30 | B = 0.002 [−0.025, 0.030] P = .83 | B = 0.0004 [−0.0006, 0.001] P = .21 | B = −0.002 [−0.014, 0.009] P = .30 |
| WMH volume * Clinical diagnosis |
BAD = 0.001 [−0.003, 0.006] BMCI = −0.004 [−0.008, −0.0004] P = .044 |
BAD = −0.011 [−0.068, 0.045] BMCI = −0.003 [−0.038, 0.033] P = .93 |
BAD = 0.002 [−0.0007, 0.005] BMCI = −0.0008 [−0.003, 0.001] P = .14 |
BAD = 0.012 [−0.013, 0.038] BMCI = 0.010 [−0.009, 0.030] P = .43 |
| Amyloid SUVR | B = −0.20 [−0.43, 0.04] P < .001 | B = −0.18 [−0.47, 0.10] P < .001 | B = −0.026 [−0.142, 0.090] P = .34 | B = −0.043 [−0.182, 0.095] P = .93 |
| Amyloid SUVR * Clinical diagnosis |
BAD = −0.61 [−0.94, −0.28] BMCI = −0.23 [−0.50, 0.05] P = .001 |
BAD = −0.67 [−1.09, −0.25] BMCI = −0.21 [−0.57, 0.14] P = .007 |
BAD = −0.029 [−0.193, 0.135] BMCI = −0.003 [−0.161, 0.154] P = .93 |
BAD = 0.042 [−0.199, 0.283] BMCI = 0.074 [−0.132, 0.282] P = .77 |
| WMH volume * Amyloid SUVR | B = −0.003 [−0.034, 0.028] F(1,343) = 0.005, P = .95 |
B = 0.003 [−0.010, 0.017] P = .37 | ||
| WMH volume * Amyloid SUVR * Clinical diagnosis | BAD = 0.012 [−0.04, 0.07] BMCI = −0.002 [−0.04, 0.04] P = .88 |
BAD = −0.011 [−0.039, 0.016] BMCI = −0.013 [−0.036, 0.010] P = .44 |
||
| Age | B = −0.012 [−0.021, −0.003] P = .013 | B = −0.012 [−0.021, −0.003] P = .013 | B = −0.0005 [−0.004, 0.003] P = .81 | B = −0.0004 [−0.004, 0.004] P = .84 |
| Sex | BM = −0.014 [−0.056, 0.029] P = .53 | BM = −0.014 [−0.056, 0.029] P = .53 | BM = −0.011 [−0.030, 0.009] P = .27 | BM = −0.011 [−0.030, 0.009] P = .29 |
| APOE4 | BE4 = 0.040 [0.0001, 0.079] P = .049 | BE4 = 0.039 [−0.0001, 0.079] P = .051 | BE4 = 0.007 [−0.012, 0.026] P = .50 | BE4 = 0.006 [−0.014, 0.025] P = .55 |
| Education | B = 0.0006 [−0.006, 0.007] P = .85 | B = 0.0005 [−0.006, 0.007] P = .87 | B = 0.002 [−0.0008, 0.005] P = .15 | B = 0.002 [−0.0008, 0.005] P = .15 |
| Intracranial total volume | B = 5.3E-8 [−8.0E-8, 1.9E-7] P = .43 | B = 5.6E-8 [−7.7E-8, 1.9E-7] P = .41 | B = 3.5E−8 [−2.4E-8, 9.4E-8] P = .25 | B = 4.1E-8 [−2.0E-8, 1.0E-7] P = .19 |
NOTE. Values are presented as mean parameter estimate [95% CI] and bolded if P < .05. Rows represent all the variables included in a single linear mixed effects or growth curve model (column).