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. 2018 Sep 5;15(9):869–875. doi: 10.30773/pi.2018.07.29.1

Table 3.

Logistic regression model for conversion prediction

Variables Regression coefficient Standard error Odd ratio 95% CI p-value
Pre-MCI
 Intercept -15.98 7.96 0.00
 Age 0.21 0.11 1.23 0.10–1.52 0.051
 SVLT_rec -0.93 0.50 0.39 0.15–1.05 0.062
 RCFT_delayed* -1.33 0.66 0.26 0.07–0.96 0.044
CN
 Intercept -2.70 1.82 0.07
 Education -0.06 0.14 0.94 0.72–1.23 0.673
 RCFT copy* -1.93 0.73 0.15 0.04–0.61 0.008
 RCFT_rec 2.09 1.15 8.08 0.84–77.53 0.070
 BNT -2.02 1.13 0.13 0.01–1.23 0.076
 DSQ 0.11 0.20 1.12 0.76–1.65 0.578
*

significant association.

CN: cognitively normal, pre-MCI: pre-mild cognitive impairment, DSQ: dementia screening questionnaire, BNT: Boston naming test (15 item), RCFT copy: Rey complex figure test copy score, SVLT_rec: SVLT, recognition score, RCFT_delayed: RCFT, delayed recall score, RCFT_rec: RCFT, recognition score