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Table 3 Binary logistic regression model to predict the odds of conversion to CDR above zero based on baseline biomarkers

From: Intracranial internal carotid artery calcification is not predictive of future cognitive decline

  Odds of conversion from CDR = 0 to CDR > 0
Univariable Multivariable
p-value OR (95% CI) p-value § OR b (95% CI)
Age (years) 0.996 1 (0.951–1.051) - -
Sex (male versus female) 0.911 0.963 (0.496–1.87) - -
Ln ICA calcium score 0.210 0.891 (0.743–1.068) - -
Ln ICA calcium volume 0.265 0.899 (0.845–1.084) - -
WMH voluma (1000 mm3) 0.340 1.01 (0.989–1.032) - -
Total hippocampal volumea (100 mm3) 0.006 0.940 (0.90.982) 0.071 0.958 (0.9151.004)
AD cortical signature thickness (mm) 0.125 0.110 (0.007–1.837) - -
Centiloida (5 unit) 0.003 1.08 (1.0271.136) 0.012 1.070 (1.0151.127)
  1. Abbreviations: ICA, internal carotid artery, WMH volume, white matter hyperintensities volume, Centiloid, measure of global amyloid disposition based on conversion of PIB or AV45 PET SUVRs to a standardized scale, AD cortical signature thickness, cortical thickness in signature regions affected in Alzheimer disease (see Dincer et al. 2020), Ln ICA calcium score/volume, natural log transformation of internal carotid artery Agatston calcium score/volume, OR (95% CI), odds ratio and 95% confidence interval
  2. aOdds ratios are demonstrated for 1000-mm3 increments in WMH volume, 100-mm3 increments in total hippocampal volume, and 5-unit increments in Centiloid scale
  3. bSignificant variables from the univariable model were entered into a stepwise multivariable model where a probability of 0.3 was set to enter the variables into the model and a probability of 0.1 to remove variables from the model
  4. § p-values were corrected for multiple comparisons through estimation of the false discovery rate via the Benjamini and Hochberg method. Variables with a p-value of 0.05 were considered statistically significant in both regression models (denoted in bold)