Alzheimer's Research & Therapy

Table 3 Associations between baseline tau biomarkers and subsequent MMSE decline

From: Head-to-head comparison between plasma p-tau217 and flortaucipir-PET in amyloid-positive patients with cognitive impairment

	Model 1: PET only			Model 2: plasma only			Model 3: both
	\(\beta\)	95% CI of\(\beta\)	p	\(\beta\)	95% CI of\(\beta\)	p	\(\beta\)	95% CI of\(\beta\)	p
Intercept	21.7	[20.6, 22.9]	< 0.0001	21.7	[20.5, 22.9]	< 0.0001	21.7	[20.6, 22.8]	< 0.0001
Time	− 2.5	[− 3.30, − 1.72]	< 0.0001	− 2.5	[− 3.4, − 1.6]	< 0.0001	− 2.5	[− 3.3, − 1.7]	< 0.0001
Baseline FTP SUVR	− 7.0	[− 9.58, − 4.38]	< 0.0001				− 4.2	[− 7.4, − 1.1]	0.009
Baseline p-tau217				− 9.1	[− 12.5, − 5.7]	< 0.0001	− 5.9	[− 9.9, − 1.8]	0.006
Time*Baseline FTP SUVR	− 2.8	[− 4.40, − 1.19]	0.002				− 2.4	[− 4.2, − 0.5]	0.02
Time*Baseline p-tau217				− 3.0	[− 5.6, − 0.5]	0.027	− 1.3	[− 4.1, 1.5]	0.36
AIC	703			709			696
ICC	0.775			0.735			0.76
R² (marginal)	0.387			0.349			0.436
R² (conditional)	0.862			0.828			0.864

All linear mixed-effects models included random intercepts for patients. Time is expressed in years and non-centered; FTP and p-tau217 are centered, so model intercepts indicate predicted MMSE score at baseline (time = 0) for average FTP and/or p-tau217 values. Number of patients = 85, number of observations = 116 (31 follow-up scores from 28 patients). AIC, Akaike Information Criterion (lower AIC is better); ICC, Intraclass Correlation Coefficient

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