Table 2.

Linear regression models in which imaging signatures of white matter disease (WMHV), Alzheimer’s disease (SPARE-AD) and brain aging (SPARE-BA) are the outcomes and WBC, fibrinogen, hs-CRP and antiinflammatory medication are the predictors

Cohort	Predictors	Outcome
		WMHV				SPARE-AD				SPARE-BA
SHIP-2 and SHIP-Trend§ (n= 2204)		Coefficient	Standard error	FDR-adjusted p value	R2	Coefficient	Standard error	FDR-adjusted p value	R2	Coefficient	Standard error	FDR-adjusted p value	R2
	WBC	197	0.345	(0.757)	0.338	0.118	0.073	(0.420)	0.180	−0.333	0.092	(0.003) *	0.686
	hs-CRPa	−0.100	0.118	(0.757)	0.347	0.009	0.025	(0.796)	0.181	−0.064	0.031	(0.264)	0.704
	Fibrinogenb	−0.635	0.435	(0.435)	0.338	0.017	0.092	(0.850)	0.179	−0.048	0.116	(0.796)	0.684
	Antiinflammatory medication	−0.240	0.232	(0.602)	0.338	0.052	0.049	(0.602)	0.179	−0.037	0.062	(0.757)	0.684

^§Models are adjusted for age, age², sex, body mass index, smoking, systolic blood pressure, antihypertension medication, antidiabetic drug use, HbA1c, cholesterol ratio, lipid lowering drug use, education and study cohort effects

SPARE-AD, Spatial Pattern of Atrophy for Recognition of Alzheime’s disease; SPARE-BA, Spatial Pattern of Atrophy for Recognition of brain aging; WMHV, white matter hyperintensity volume; SHIP, Study of Health in Pomerania; WBC, white blood cell count; hs-CRP, high sensitive C-reactive protein

^*significant at p<0.05

^aMeasure available for n=1446 subjects

^bMeasure available for n=2198 subjects