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. Author manuscript; available in PMC: 2014 Jun 1.
Published in final edited form as: J Neuropathol Exp Neurol. 2013 Jun;72(6):462–471. doi: 10.1097/NEN.0b013e3182933788

Table 3.

Summary of the Results of this Study

Model 1 Model 2 Model 3
Glia-centered analyses Estimate (SD) p value Estimate (SD) p value Estimate (SD) p value
Dense-core plaque size vs. GFAP-positive astrocytes close 0.8721 (0.6152) p = 0.1564 0.8723 (0.6237) p = 0.1620 0.6382 (0.6690) p = 0.3402
Dense-core plaque size vs. Iba1-positive microglia close 1.8182 (0.6030) p = 0.0026 1.8581 (0.6166) p = 0.0026 1.7207 (0.6745) p = 0.0108
Plaque-centered analyses Estimate (SD) p value Estimate (SD) p value Estimate (SD) p value
Dense-core plaque size vs. GFAP-positive astrocytes close 0.1642 (0.1313) p = 0.2111 0.1637 (0.1314) p = 0.2128 0.0482 (0.1405) p = 0.7316
Dense-core plaque size vs. Iba1-positive microglia close 0.6946 (0.1018) p < 0.0001 0.6950 (0.1019) p < 0.0001 0.6432 (0.1050) p < 0.0001
Dense-core plaque size vs. CD68-positive microglia close 0.7484 (0.0904) p < 0.0001 0.7485 (0.0905) p < 0.0001 0.7038 (0.0942) p < 0.0001

Model 1 indicates the results of the bivariate regression analyses depicted in the first column. Model 2 is similar to Model 1 but controlling for the presence of at least one APOEε4 allele (i.e. APOEε4 carriers vs. non-carriers). Model 3 is similar to Model 1 but controlling for the number of APOEε4 alleles (i.e. none vs. 1 vs. 2 alleles). Values represent the estimates (SD) of the slopes and the p values of the corresponding regression models.

GFAP, glial fibrillary acidic protein; Iba1, ionized calcium-binding adaptor molecule 1.