Table 3.
Multinomial logistic regressions for intramodality models
| Variables | No dementia (n) | Incident dementia (n) | OR (95% C.I.) | p | BIC | ROC–AUCa (95% C.I.) | |
|---|---|---|---|---|---|---|---|
| Model 0 | Covariates | 354 | 28 | 426.09 | 0.845 (0.793–0.896) | ||
| Cognition | |||||||
| Model 1 | Pattern comparison | 352 | 26 | 2.48 (1.37–4.50) | 0.003 | 414.28 | 0.875 (0.822–0.928) |
| Model 2 | Pattern comparison | 352 | 26 | 2.02 (1.10–3.73) | 0.025 | 414.28 | 0.901 (0.858–0.944) |
| Word recall | 2.46 (1.42–4.25) | 0.001 | |||||
| MRI | |||||||
| Model 1 | Hippocampal volume | 346 | 27 | 2.15 (1.23–3.79) | 0.008 | 408.43 | 0.859 (0.798–0.920) |
| Model 2 | Hippocampal volume | 334 | 27 | 1.97 (1.12–3.47) | 0.019 | 410.85 | 0.878 (0.828–0.928) |
| WMH volume | 1.85 (1.12–3.05) | 0.016 |
aIncident dementia versus no dementia. AUC, area under the curve; CI, confidence intervals; OR, odds ratio; BIC, Bayesian information criterion; ROC, receiver operating characteristic curve; WMH, white matter hyperintensity. Model 0 includes sex, age, and education.