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

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

	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 volum^a (1000 mm³)	0.340	1.01 (0.989–1.032)	-	-
Total hippocampal volume^a (100 mm³)	0.006	0.940 (0.9–0.982)	0.071	0.958 (0.915–1.004)
AD cortical signature thickness (mm)	0.125	0.110 (0.007–1.837)	-	-
Centiloid^a (5 unit)	0.003	1.08 (1.027–1.136)	0.012	1.070 (1.015–1.127)

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
^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
^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
^§ 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)

ISSN: 1758-9193