Table 2.
Association between plasma biomarkers and longitudinal PACC.
| Model | Beta coefficient | R2 [95% CI] | Ref: basic model | |||
|---|---|---|---|---|---|---|
| Plasma Aβ42/Aβ40 | Plasma P-tau217 | Plasma NfL | P value | AICΔ | ||
| ATN |
−0.15 [−0.24, −0.05] (P = 0.0026) |
−0.15 [−0.25, −0.06] (P = 0.0020) |
−0.12 [−0.21, −0.02] (P = 0.0141) |
0.14 [0.12, 0.17] | <0.0001 | −28 |
| A |
−0.18 [−0.19, −0.09] (P = 0.0002) |
0.11 [0.09, 0.14] | <0.0001 | −14 | ||
| T |
−0.20 [−0.20, −0.11] (P < 0.0001) |
0.09 [0.08, 0.13] | 0.0002 | −13 | ||
| N |
−0.16 [−0.25, −0.06] (P = 0.0014) |
0.10 [0.08, 0.14] | 0.002 | −9 | ||
This table shows the results from fitting linear mixed effects models with longitudinal PACC as outcome and plasma biomarkers added separately or all together to a basic model consisting of age, sex, and education. β-coefficients are presented in terms of “PACC points/year per standard deviation change in biomarker value.” R2 values were evaluated and confidence intervals were calculated using 1000 bootstrapped samples. The basic model consisting of only demographics had R2 = 0.07 (95% CI [0.06, 0.11]) and AIC = 6699. P values represent an ANOVA comparison to the basic model; AICΔ values represent the change in AIC compared to the basic model and an AICΔ value of −2 or lower implies a better fit than the basic model. All statistical tests were two-sided with no adjustment for multiple comparisons.