Table 2.
Predictor | CMB (Presence Versus Absence) | CMB Location | ||||||
---|---|---|---|---|---|---|---|---|
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Deep/Mixed Versus No CMB | Strictly Lobar Versus No CMB | Strictly Lobar Versus Deep/Mixed CMB | ||||||
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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) |
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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) |
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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) |
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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) |
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Predictor Exhibiting Significant Sex Interactions | ||||||||
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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.