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. Author manuscript; available in PMC: 2022 Jul 21.
Published in final edited form as: J Alzheimers Dis. 2019;71(2):435–442. doi: 10.3233/JAD-190346

Table 3.

Multivariable analysis of risk factors for delayed post-ICH dementia conversion in patients with probable CAA

Variables HR 95% CI p
Model 1 (demographic factors)
 Age (per year) 1.042 0.989–1.098 0.123
 Education (score) 0.66 0.361–1.208 0.178
 MCI (yes versus no) 4.617 1.848–11.536 0.001*
Model 2 (neuroimaging factors)
 Disseminated cSS (yes versus no) 3.115 1.030–9.424 0.044*
 WMH (Fazekas score) 1.439 1.036–2.001 0.03*
 Lobar CMBs≥5 1.105 0.431–2.834 0.835
 WMH/TBV (%)# 1.480 1.157–1.891 0.002*
Model 3 (sensitivity analysis: factors combined)
 MCI (yes versus no) 5.880 2.250–15.367 <0.001*
 Disseminated cSS (yes versus no) 3.275 1.129–9.499 0.029*
 WMH (Fazekas score) 1.427 1.057–1.927 0.02*
 WMH/TBV (%)# 1.426 1.112–1.830 0.005*
Model 4 (sensitivity analysis: factors combined)
 MCI (yes versus no) 6.043 2.401–15.212 <0.001*
 SVD score for CAA≥3 2.961 1.278–6.861 0.011*

Model 1 and model 2 included demographic factors and neuroimaging factors separately, and factors survived from model 1 and model 2 were then included in model 3. Model 4 used SVD score for CAA to replace individual neuroimaging markers.

#

WHM/TBV (%) was included in the model to replace WHM Fazekas score.

*

with statistical significance.

HR, hazard ratio; MCI, mild cognitive impairment; CMBs, cerebral microbleeds; WMH, white matter hyperintensity; cSS, cortical superficial siderosis; SVD, small vessel disease; CAA, cerebral amyloid angiopathy.