Table 2

Predictors of progression to Alzheimer’s disease from stepwise logistic regression analysis

PredictorsOdds ratios95% CIP
Model with all four predictors
(Intercept)00.00–0.000.012
Education (years)0.720.49–0.940.039
Average cell number (prol.)1.031.01–1.050.001
% Ki67+ cells (prol.)1.351.07–1.920.037
% CC3+ cells (diff.)3.491.42–11.850.016
PredictorsOdds ratios95% CIPAUC
Four models with one predictor each
Education (years)0.790.66–0.920.0040.756
Average cell number (prol.)1.021.01–1.02<0.0010.802
% Ki67+ cells (prol.)1.040.94–1.160.3990.573
% CC3+ cells (diff.)2.671.48–5.720.0040.782
PredictorsOdds ratios95% CIP
Model with all four predictors
(Intercept)00.00–0.000.012
Education (years)0.720.49–0.940.039
Average cell number (prol.)1.031.01–1.050.001
% Ki67+ cells (prol.)1.351.07–1.920.037
% CC3+ cells (diff.)3.491.42–11.850.016
PredictorsOdds ratios95% CIPAUC
Four models with one predictor each
Education (years)0.790.66–0.920.0040.756
Average cell number (prol.)1.021.01–1.02<0.0010.802
% Ki67+ cells (prol.)1.040.94–1.160.3990.573
% CC3+ cells (diff.)2.671.48–5.720.0040.782

Top: The full logistic regression model including all four predictors: years of education, average cell number during proliferation, proliferation marker (Ki67) during proliferation and apoptosis marker (CC3) during differentiation stages of the assay. Bottom: Four logistic regression models with each predictor being the sole predictor of progression to Alzheimer’s disease. Odds ratios, 95% CI and P-values are shown. prol = proliferation assay; diff = differentiation assay.

Table 2

Predictors of progression to Alzheimer’s disease from stepwise logistic regression analysis

PredictorsOdds ratios95% CIP
Model with all four predictors
(Intercept)00.00–0.000.012
Education (years)0.720.49–0.940.039
Average cell number (prol.)1.031.01–1.050.001
% Ki67+ cells (prol.)1.351.07–1.920.037
% CC3+ cells (diff.)3.491.42–11.850.016
PredictorsOdds ratios95% CIPAUC
Four models with one predictor each
Education (years)0.790.66–0.920.0040.756
Average cell number (prol.)1.021.01–1.02<0.0010.802
% Ki67+ cells (prol.)1.040.94–1.160.3990.573
% CC3+ cells (diff.)2.671.48–5.720.0040.782
PredictorsOdds ratios95% CIP
Model with all four predictors
(Intercept)00.00–0.000.012
Education (years)0.720.49–0.940.039
Average cell number (prol.)1.031.01–1.050.001
% Ki67+ cells (prol.)1.351.07–1.920.037
% CC3+ cells (diff.)3.491.42–11.850.016
PredictorsOdds ratios95% CIPAUC
Four models with one predictor each
Education (years)0.790.66–0.920.0040.756
Average cell number (prol.)1.021.01–1.02<0.0010.802
% Ki67+ cells (prol.)1.040.94–1.160.3990.573
% CC3+ cells (diff.)2.671.48–5.720.0040.782

Top: The full logistic regression model including all four predictors: years of education, average cell number during proliferation, proliferation marker (Ki67) during proliferation and apoptosis marker (CC3) during differentiation stages of the assay. Bottom: Four logistic regression models with each predictor being the sole predictor of progression to Alzheimer’s disease. Odds ratios, 95% CI and P-values are shown. prol = proliferation assay; diff = differentiation assay.

Close
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close

This PDF is available to Subscribers Only

View Article Abstract & Purchase Options

For full access to this pdf, sign in to an existing account, or purchase an annual subscription.

Close