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. Author manuscript; available in PMC: 2022 Mar 1.
Published in final edited form as: Stroke. 2021 Feb 11;52(3):1012–1021. doi: 10.1161/STROKEAHA.120.031073

Table 2.

Interaction of cerebral vessel pathology with β-amyloid/ PHF-tau tangle burden in relation to probability of microinfarct burden.

Model Set Predictors Interaction Cortical microinfarcts Subcortical microinfarcts
1 Arteriolosclerosis −0.10 (0.14,0.48) 0.35 (0.14,0.01)
β-amyloid −0.12 (0.11,0.26) 0.09 (0.12,0.48)
Arteriolosclerosis x β-amyloid 0.15 (0.07,0.02) 0.02 (0.07,0.73)
2 CAA −0.29 (0.14,0.05) −0.05 (0.15,0.76)
β-amyloid −0.24 (0.11,0.03) 0.04 (0.11,0.73)
CAA x β-amyloid 0.27 (0.07, <0.001) 0.02 (0.08,0.84)
3 Arteriolosclerosis −0.06 (0.12,0.64) 0.11 (0.13,0.39)
PHF-tau −0.22 (0.10,0.03) −0.34 (0.13,0.01)
Arteriolosclerosis x PHF-tau 0.13 (0.06,0.02) 0.13 (0.07,0.04)
4 CAA −0.10 (0.12,0.40) 0.09 (0.13,0.49)
PHF-tau −0.36 (0.13,0.01) −0.01 (0.13,0.93)
CAA x PHF-tau 0.16 (0.06,0.005) −0.08 (0.07,0.27)

Log-odds ratio estimates were derived from logistic regression models in which cortical microinfarct burden was the outcome. Models included an interaction term between vessel pathologies, either CAA or arteriolosclerosis, and β-amyloid or tau tangle burden. All model sets were adjusted for age, sex, education, and atherosclerosis. In addition, model set 1 was further adjusted for CAA and tangle burden. Model set 2 for arteriolosclerosis and tangles. Model set 3 for CAA and β-amyloid. Model set 4 for arteriolosclerosis and β-amyloid. Cell value represents log-odds estimate (SE, p-value).