ATN system and disease‐modifying treatment eligibility in a hospital‐based cohort
Article 2024 en
Authors
GC
Giordano Cecchetti
EC
Elisa Canu
GR
Giulia Rugarli
Abstract
1 min read
Abstract Background This study aims at applying the AT(N) classification to a cohort of patients with Alzheimer’s disease (AD) and related disorders, and to investigate how many cases would be eligible for the emerging disease‐modifying treatments. Method We conducted a retrospective evaluation of 429 patients referred to the Memory Center of IRCCS San Raffaele Hospital in Milan. Patients underwent clinical/neuropsychological assessments, lumbar puncture, structural brain imaging, and positron emission tomography (FDG‐PET). Patients were stratified according to AT(N) classification, group comparisons were performed and the number of eligible cases for anti‐β amyloid monoclonal antibodies was calculated. Result Sociodemographic and clinical features were similar across groups. Although the clinical presentation was similar, the A+T+N+ group showed more severe cognitive impairment in memory, language, attention, executive, and visuospatial functions compared to other AT(N) groups. Notably, T+ patients demonstrated greater memory complaints compared to T‐ cases. FDG‐PET outperformed MRI and CT in distinguishing A+ from A‐ patients. Although the 60.8% of the observed cases were A+, only the 17.2% were eligible for amyloid‐targeting treatments. Conclusion The AT(N) classification is applicable in a real‐world clinical setting. The classification system provided insights into clinical management and treatment strategies. Low cognitive performance and specific regional FDG‐PET hypometabolism at diagnosis are highly suggestive for A+T+ or A‐T+ profiles. This work provides also a realistic picture of the proportion of AD patients eligible for disease modifying treatments emphasizing the need for early detection. Funding : Foundation Research on Alzheimer Disease. Next Generation EU/National Recovery and Resilience Plan, Investment PE8‐Project Age‐It.
Poul Flemming Høilund‐Carlsen, Mona‐Elisabeth Revheim, Tommaso Costa, Kasper P. Kepp, Rudolph J. Castellani, George Perry, Abass Alavi, Jorge R. Barrio
Poul Flemming Høilund‐Carlsen, Abass Alavi, Jorge R. Barrio, Rudolph J. Castellani, Tommaso Costa, Karl Herrup, Kasper P. Kepp, Rachael L. Neve, George Perry, Mona‐Elisabeth Revheim, Nikolaos K. Robakis, Stefano L. Sensi, Bryce Vissel
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