The impact of kidney function on Alzheimer’s disease blood biomarkers: implications for predicting amyloid-β positivity

Arslan, Burak; Brum, Wagner S.; Pola, Ilaria; Therriault, Joseph; Rahmouni, Nesrine; Stevenson, Jenna; Servaes, Stijn; Tan, Kübra; Vitali, Paolo; Montembeault, Maxime; Klostranec, Jesse; Macedo, Arthur C.; Tissot, Cecile; Gauthier, Serge; Lantero-Rodriguez, Juan; Zimmer, Eduardo R.; Blennow, Kaj; Zetterberg, Henrik; Rosa-Neto, Pedro; Benedet, Andrea L.; Ashton, Nicholas J.

doi:10.1186/s13195-025-01692-z

Alzheimer's Research & Therapy

Table 4 Summary of AUC and AIC metrics for plasma biomarkers in predictive models of Aβ-PET positivity

From: The impact of kidney function on Alzheimer’s disease blood biomarkers: implications for predicting amyloid-β positivity

			Confidence Interval 95%
Biomarker	Model	AUC	Lower Limit	Upper Limit	AIC	AICc	p value (de long)	ΔAICc	ΔAICc with eGFR
Plasma Aβ42	Univariate	0.659	0.594	0.724	336.07	336.16		0
Plasma Aβ42	Adjusted (+ age + sex)	0.747	0.689	0.805	309.63	309.86	0.001	-26.30
Plasma Aβ42	Full (+ age + sex + eGFR)	0.754	0.696	0.811	310.32	310.64	0.000	-25.52	0.78
Plasma Aβ40	Univariate	0.568	0.498	0.637	356.74	356.83		0
Plasma Aβ40	Adjusted (+ age + sex)	0.634	0.568	0.701	337.28	337.51	0.137	-19.32
Plasma Aβ40	Full (+ age + sex + eGFR)	0.635	0.569	0.702	338.95	339.27	0.126	-17.56	1.76
Plasma Aβ42/40	Univariate	0.747	0.689	0.806	311.21	311.30		0
Plasma Aβ42/40	Adjusted (+ age + sex)	0.764	0.707	0.821	304.31	304.54	0.235	-6.77
Plasma Aβ42/40	Full (+ age + sex + eGFR)	0.764	0.707	0.821	306.22	306.54	0.225	-4.76	2.01
Plasma p-tau181	Univariate	0.758	0.701	0.814	329.48	329.57		0
Plasma p-tau181	Adjusted (+ age + sex)	0.745	0.687	0.804	317.53	317.77	0.513	-11.81
Plasma p-tau181	Full (+ age + sex + eGFR)	0.745	0.686	0.803	318.29	318.61	0.526	-10.96	0.85
Plasma p-tau217	Univariate	0.896	0.853	0.939	236.73	236.83		0
Plasma p-tau217	Adjusted (+ age + sex)	0.900	0.860	0.940	234.13	234.38	0.613	-2.44
Plasma p-tau217	Full (+ age + sex + eGFR)	0.899	0.858	0.940	233.36	233.72	0.781	-3.11	-0.66
Plasma p-tau231	Univariate	0.754	0.694	0.814	323.00	323.10		0
Plasma p-tau231	Adjusted (+ age + sex)	0.763	0.707	0.820	307.14	307.38	0.673	-15.72
Plasma p-tau231	Full (+ age + sex + eGFR)	0.771	0.715	0.826	306.70	307.02	0.482	-16.07	-0.35
Plasma NTA-tau	Univariate	0.644	0.573	0.714	342.93	343.02		0
Plasma NTA-tau	Adjusted (+ age + sex)	0.708	0.646	0.770	316.48	316.71	0.084	-26.30
Plasma NTA-tau	Full (+ age + sex + eGFR)	0.710	0.648	0.772	316.95	317.28	0.083	-25.74	0.56
Plasma NfL	Univariate	0.664	0.600	0.727	351.77	351.86		0
Plasma NfL	Adjusted (+ age + sex)	0.631	0.565	0.697	337.23	337.46	0.290	-14.40
Plasma NfL	Full (+ age + sex + eGFR)	0.638	0.572	0.704	338.14	338.46	0.421	-13.39	1.00
Plasma GfAP	Univariate	0.795	0.743	0.847	294.03	294.12		0
Plasma GfAP	Adjusted (+ age + sex)	0.796	0.744	0.848	292.48	292.71	0.938	-1.41
Plasma GfAP	Full (+ age + sex + eGFR)	0.801	0.749	0.854	291.14	291.46	0.623	-2.67	-1.26

eGFR estimated glomerular filtration rate, Aβ42 Amyloid-beta 42, Aβ40 Amyloid-beta 40; p-tau181 phosphorylated tau at threonine 181, p-tau217 phosphorylated tau at threonine 217, p-tau231 phosphorylated tau at threonine 231, NTA-tau N-terminal containing tau fragments, NFL Neurofilament light chain, GFAP Glial fibrillary acidic protein, Aβ-PET Amyloid-beta positron emission tomography
This table presents a detailed comparison of area under the curve (AUC), Akaike Information Criterion (AIC), and ΔAIC values across different predictive models for Aβ-PET positivity, using various plasma biomarkers including Aβ42, Aβ40, the Aβ42/40 ratio, P-tau181, P-tau217, P-tau231, and NfL. The models considered include univariate models (plasma biomarkers alone), models adjusted for age and sex, and fully adjusted models that also include eGFR
For each biomarker, the AUC values are provided along with their confidence intervals (95% CI) to indicate the model's discriminative ability, AIC and AICc values are presented to assess model fit, with ΔAIC showing the improvement gained by adding age, sex, and eGFR to the models. The p-values from DeLong's test for comparing AUCs are also included to assess the statistical significance of the differences between models

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ISSN: 1758-9193

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