Pascoal Tharick A, Leuzy Antoine, Therriault Joseph, Chamoun Mira, Lussier Firoza, Tissot Cecile, Strandberg Olof, Palmqvist Sebastian, Stomrud Erik, Ferreira Pamela C L, Ferrari-Souza João Pedro, Smith Ruben, Benedet Andrea Lessa, Gauthier Serge, Hansson Oskar, Rosa-Neto Pedro
Department of Psychiatry School of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.
Department of Neurology School of Medicine University of Pittsburgh Pittsburgh Pennsylvania USA.
Alzheimers Dement (Amst). 2023 Jan 30;15(1):e12390. doi: 10.1002/dad2.12390. eCollection 2023 Jan-Mar.
The optimal combination of amyloid-β/tau/neurodegeneration (A/T/N) biomarker profiles for the diagnosis of Alzheimer's disease (AD) dementia is unclear.
We examined the discriminative accuracy of A/T/N combinations assessed with neuroimaging biomarkers for the differentiation of AD from cognitively unimpaired (CU) elderly and non-AD neurodegenerative diseases in the TRIAD, BioFINDER-1 and BioFINDER-2 cohorts (total = 832) using area under the receiver operating characteristic curves (AUC).
For the diagnosis of AD dementia (vs. CU elderly), T biomarkers performed as well as the complete A/T/N system (AUC range: 0.90-0.99). A and T biomarkers in isolation performed as well as the complete A/T/N system in differentiating AD dementia from non-AD neurodegenerative diseases (AUC range; A biomarker: 0.84-1; T biomarker: 0.83-1).
In diagnostic settings, the use of A or T neuroimaging biomarkers alone can reduce patient burden and medical costs compared with using their combination, without significantly compromising accuracy.
用于诊断阿尔茨海默病(AD)痴呆的淀粉样蛋白-β/ tau/神经退行性变(A/T/N)生物标志物谱的最佳组合尚不清楚。
我们在TRIAD、BioFINDER-1和BioFINDER-2队列(共832例)中,使用受试者操作特征曲线下面积(AUC),检验了用神经影像学生物标志物评估的A/T/N组合对区分AD与认知未受损(CU)老年人及非AD神经退行性疾病的判别准确性。
对于AD痴呆(与CU老年人相比)的诊断,T生物标志物的表现与完整的A/T/N系统相当(AUC范围:0.90 - 0.99)。单独的A和T生物标志物在区分AD痴呆与非AD神经退行性疾病方面的表现与完整的A/T/N系统相当(AUC范围;A生物标志物:0.84 - 1;T生物标志物:0.83 - 1)。
在诊断环境中,与使用A和T神经影像学生物标志物的组合相比,单独使用A或T生物标志物可以减轻患者负担并降低医疗成本,且不会显著影响准确性。