TABLE 4.
Results of multiple logistic and linear regression analyses for assessing the relationship between serum UA and Aβ, AV-1451, AD-CM, or WMH volume in cognitive normal older adults.
| OR | 95% CI | p | |
| Aβ positivity | |||
| Model 1 | 1.135 | 0.885 to 1.461 | 0.315 |
| Model 2 | 1.077 | 0.826 to 1.403 | 0.584 |
| Model 3 | 1.183 | 0.878 to 1.595 | 0.270 |
| B | 95% CI | p | |
| Aβ retention, SUVR | |||
| Model 1 | 0.006 | −0.018 to 0.021 | 0.398 |
| Model 2 | 0.006 | −0.009 to 0.021 | 0.454 |
| Model 3 | 0.008 | −0.008 to 0.023 | 0.324 |
| AV-1451, SUVR | |||
| Model 1 | 0.012 | −0.032 to 0.057 | 0.587 |
| Model 2 | –0.003 | −0.048 to 0.041 | 0.883 |
| Model 3 | –0.009 | −0.060 to 0.042 | 0.721 |
| AD-CM, SUVR | |||
| Model 1 | 0.011 | <0.001 to 0.022 | 0.042 |
| Model 2 | 0.011 | <0.001 to 0.022 | 0.044 |
| Model 3 | 0.016 | 0.004 to 0.028 | 0.007 |
| WMH, cm3 | |||
| Model 1 | 0.186 | −0.313 to 0.684 | 0.465 |
| Model 2 | 0.103 | −0.415 to 0.622 | 0.695 |
| Model 3 | 0.052 | −0.496 to 0.600 | 0.853 |
Abbreviations: UA, uric acid; Aβ, beta-amyloid; AD-CM, Alzheimer’s disease signature cerebral glucose metabolism; WMH, white matter hyperintensities. The results of multivariate logistic or linear regression analyses are presented with OR B coefficient values, 95% CI and P-value. Global Aβ retention was used after natural log-transformation to achieve normal distribution. Model 1 did not include any covariates, model 2 included age and sex as covariates, and model 3 included all potential covariates, including age, sex, education, apolipoprotein ε4, vascular risk score, serum albumin, body mass index, smoking status, and alcohol intake status.