TABLE 7.
Statistical analysis of linear mixed-effect regression for plasma biomarkers.
| Plasma ratio | ADAS13 | P | Adjusted P | Beta (SE) | d | MMSE | P | Adjusted P | Beta (SE) | d |
| CN A– | 0.32 | 0.79 | –0.147 (0.144) | NA | NA | NA | NA | NA | ||
| CN+MCI+AD A+ | 0.56 | 0.79 | 0.059 (0.099) | NA | 0.42 | 0.46 | –0.094 (0.117) | NA | ||
| MCI+AD A+ | 0.79 | 0.79 | 0.033 (0.125) | NA | 0.46 | 0.46 | –0.107 (0.143) | NA | ||
| Plasma t-tau | ADAS13 | P | Adjusted P | Be ta (SE) | d | MMSE | P | Adjusted P | Beta (SE) | d |
| CN A– | 0.59 | 0.59 | 0.065 (0.118) | NA | 0.783 | 0.78 | –0.036 (0.130) | NA | ||
| CN+MCI+AD A+ | 0.29 | 0.59 | –0.083 (0.078) | NA | 0.65352 | 0.78 | –0.047 (0.105) | NA | ||
| MCI+AD A+ | 0.43 | 0.59 | –0.073 (0.092) | NA | 0.555 | 0.78 | –0.071 (0.120) | NA | ||
| Plasma p-tau181 | ADAS13 | P | Adjusted P | Beta (SE) | d | MMSE | P | Adjusted P | Beta (SE) | d |
| CN A– | 0.95 | 0.95 | 0.129 (0.106) | NA | 0.23 | 0.23 | –0.005 (0.085) | NA | ||
| CN+MCI+AD A+ | 0.01 | 0.03 | 0.120 (0.047) | 0.51 | 0.01 | 0.04 | –0.180 (0.070) | –0.53 | ||
| MCI+AD A+ | 0.02 | 0.03 | 0.123 (0.052) | 0.45 | 0.02 | 0.03 | –0.174 (0.076) | –0.48 |
p refers to the significance of interaction effect of plasma biomarkers concentration × time. The p-values are adjusted using false discovery rate (FDR). Beta (SE) refers to standardized regression coefficient with standard error. Cohen’s d refers to effect size of interaction effect of plasma biomarkers concentration × time. Positive effect size d means higher plasma p-tau are correlated with faster ADAS13 score increase. Negative effect size d means higher baseline plasma p-tau concentration is correlated with faster MMSE score decrease.