Table 3.
Linear regression models to examine the effects of hypertension and Cerebrospinal fluid amyloid beta 1–42 levels on white matter hyperintensity burden.
| Aβ1–42 | HTN | Aβ1–42 × HTN | |
|---|---|---|---|
| Model 1a (F5,56 = 7.7, R2 = 0.409, p < 0.001) | B = −0.28 (.026) | B = 0.30 (.017) | B = 0.03 (.829) |
| Model 2a (F6,55 = 6.3, R2 = 0.408, p < 0.001) | B = −0.28 (.016) | B = 0.30 (.016) | -- |
| Model 3b (F7,54 = 5.8, R2 = 0.432, p < 0.001) | B = −0.28 (.024) | B = 0.32 (.012) | B = 0.04 (.728) |
| Model 4b (F6,55 = 6.9, R2 = 0.431, p < 0.001) | B = −0.29 (.013) | B = 0.32 (.011) | -- |
Linear regression models using white matter hyperintensity (WMH) volume as the dependent variable. Values shown are standardized β-coefficients with p-values in parentheses. Predictors of interest were CSF levels of Aβ1–42, HTN, and Aβ1–42 × HTN interaction (Models 1, 3). The analyses were repeated without the non-significant interaction term (Models 2, 4).
a
Covariates included in models 1 & 2 were age, sex, and cognitive status.
b
Covariates included in models 3 & 4 were age, sex, cognitive status, and mFRS.