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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Stroke. 2017 Oct 10;48(11):2964–2972. doi: 10.1161/STROKEAHA.117.018336

Table 2.

Modeling Each Predictor Separately While Adjusting for Covariates

Predictor CMB (Presence Versus Absence) CMB Location

Deep/Mixed Versus No CMB Strictly Lobar Versus No CMB Strictly Lobar Versus Deep/Mixed CMB
`
RR 95% CI RRR 95% CI RRR 95% CI RRR 95% CI

Log2(WMH Volume (cm3)) 1.255 (1.138, 1.383) 1.634 (1.286, 2.076) 1.232 (1.065,1.425) 0.754 (0.581, 0.978)

AD Signature Region Volume (in cm3) 0.961 (0.938, 0.984) 0.956 (0.901, 1.015) 0.944 (0.911,0.978) 0.987 (0.925, 1.054)

Total Gray Volume (in cm3) 0.994 (0.989, 0.998) 0.990 (0.980, 0.999) 0.992 (0.986, 0.999) 1.003 (0.992, 1.014)

Number of Lacunar Infarcts 1.233 (1.079, 1.409) 1.629 (1.212, 2.189) 1.226 (0.962, 1.563) 0.753 (0.536, 1.057)

Number of Non-Lacunar Infarcts 1.288 (1.071, 1.549) 1.649 (1.065, 2.555) 1.323 (0.972, 1.799) 0.802 (0.498, 1.291)

Total Number of Infarcts 1.238 (1.115, 1.376) 1.595 (1.262, 2.015) 1.253 (1.038, 1.511) 0.786 (0.603, 1.024)

Copies of the APOE ε4 Allele:
 0- Reference
 1 0.977 (0.769, 1.241) 1.139 (0.685, 1.892) 0.903 (0.629, 1.296) 0.793 (0.442, 1.423)
 2 1.778 (1.139, 2.773) 1.962 (0.673, 5.720) 2.495 (1.096, 5.677) 1.271 (0.429, 3.767)

Predictor Exhibiting Significant Sex Interactions

Frontal Volume (in cm3)
 Female 0.976 (0.963, 0.989) 0.964 (0.937, 0.992) 0.972 (0.953, 0.991) 1.008 (0.977, 1.040)
 Male 1.002 (0.990, 1.015) 1.001 (0.973, 1.031) 1.004 (0.983, 1.025) 1.003 (0.970, 1.037)

NOTE: RR=relative risk; RRR=relative risk ratio. The Poisson (CMB presence) and multinomial logistic (CMB location) regression models included adjustments for age, sex, education, hypertension, smoking status, diabetes, race-site (used Forsyth as the reference), and estimated intracranial volume. The number of lacunar infarcts and the total number of infarcts were modeled with a single variable that took values 0, 1, 2, or 3 (for ≥3) infarcts. The number of non-lacunar infarcts was modeled with a single variable that took values 0, 1, or 2 (for ≥2) infarcts. Models incorporated weights accounting for the MRI sampling and completion probabilities.