First results of the AMYPAD Prognostic and Natural History Study: amyloid‐PET Centiloid predicts cognitive functioning in a pre‐dementia population. (20th December 2022)
- Record Type:
- Journal Article
- Title:
- First results of the AMYPAD Prognostic and Natural History Study: amyloid‐PET Centiloid predicts cognitive functioning in a pre‐dementia population. (20th December 2022)
- Main Title:
- First results of the AMYPAD Prognostic and Natural History Study: amyloid‐PET Centiloid predicts cognitive functioning in a pre‐dementia population
- Authors:
- García, David Vállez
Collij, Lyduine E.
Mastenbroek, Sophie E
Alves, Isadora Lopes
Gispert, Juan Domingo
Ritchie, Craig W.
Boada, Mercè
Marquié, Marta
Grau‐Rivera, Oriol
Fauria, Karine
Scheltens, Philip
Vandenberghe, Rik
Hanseeuw, Bernard J
Schöll, Michael
Frisoni, Giovanni B
Boecker, Henning
Jessen, Frank
Wolz, Robin
Grootoonk, Sylke
Stephens, Andrew W
Buckley, Chris J
Ford, Lisa
Visser, Pieter Jelle
Farrar, Gill
Barkhof, Frederik - Abstract:
- Abstract: Background: The AMYPAD Prognostic and Natural History Study aims to evaluate the value of (semi‐) quantitative amyloid PET imaging for predicting progression within an Alzheimer's disease risk probability spectrum. The project is actively recruiting non‐demented participants from 17 sites across Europe, with a particular interest in those with emerging amyloid pathology. Methods: As of 17 th January 2022, a total of 1, 460 participants had been included. Of those, clinical data of 1, 015 were processed, with 688 (68%) having at least a quantified amyloid PET at baseline, with [ 18 F]flutemetamol or [ 18 F]florbetaben. The primary metric used to assess amyloid burden was the Centiloid (CL), measured from the ratio of the GAAIN cortical target and whole cerebellum. Scans were categorized as negative (CL≤12), gray‐zone (12<CL≤50), or positive (CL>50). The distribution of these groups was assessed using a Gaussian mixture model. Independent linear mixed‐effect models were used to explore the predictive value of CL, and its interaction with time, for several cognitive outcomes: mini‐mental state examination (MMSE), memory (immediate recall, IR), attention (digit‐span forward, DSF), language, visuospatial, and executive functions. In addition, years from baseline, parent cohort, age, sex, education, APOE‐ε4, and the Clinical Dementia Rating (CDR) score were used as independent variables. Results: Demographics are shown in Table 1 . At baseline, 88% of the subjects wereAbstract: Background: The AMYPAD Prognostic and Natural History Study aims to evaluate the value of (semi‐) quantitative amyloid PET imaging for predicting progression within an Alzheimer's disease risk probability spectrum. The project is actively recruiting non‐demented participants from 17 sites across Europe, with a particular interest in those with emerging amyloid pathology. Methods: As of 17 th January 2022, a total of 1, 460 participants had been included. Of those, clinical data of 1, 015 were processed, with 688 (68%) having at least a quantified amyloid PET at baseline, with [ 18 F]flutemetamol or [ 18 F]florbetaben. The primary metric used to assess amyloid burden was the Centiloid (CL), measured from the ratio of the GAAIN cortical target and whole cerebellum. Scans were categorized as negative (CL≤12), gray‐zone (12<CL≤50), or positive (CL>50). The distribution of these groups was assessed using a Gaussian mixture model. Independent linear mixed‐effect models were used to explore the predictive value of CL, and its interaction with time, for several cognitive outcomes: mini‐mental state examination (MMSE), memory (immediate recall, IR), attention (digit‐span forward, DSF), language, visuospatial, and executive functions. In addition, years from baseline, parent cohort, age, sex, education, APOE‐ε4, and the Clinical Dementia Rating (CDR) score were used as independent variables. Results: Demographics are shown in Table 1 . At baseline, 88% of the subjects were classified as cognitively unimpaired (CDR=0). A majority of 384 (56%) was categorized as negative (1±7CL), 210 (30%) as grey‐zone (14±11CL), and 94 (14%) as positive (58±31CL) [Figure 1 ]. Baseline CL (‐0.007 [‐0.010; ‐0.004]) and its interaction with time (‐0.002 [‐0.003; ‐0.001]) were predictive of IR. Baseline CL, but not its interaction with time, predicted MMSE (‐0.007, 95%CI [‐0.010; ‐0.003]) and DSF (‐0.003 [‐0.005; ‐0.001]) [Figure 2 ]. No significant relationships were observed for executive, language, or visuospatial function. Conclusions: Higher baseline CL were associated with lower global cognitive function and attention scores. Whereas, higher CL were associated with a steeper memory decline over time. Current results suggest that cerebral amyloid accumulation is predictive of future overall cognitive function, attention, and memory decline. Further analysis is assured, including more participants, longitudinal PET outcomes, and other biomarkers of the disease. … (more)
- Is Part Of:
- Alzheimer's & dementia. Volume 18(2022)Supplement 6
- Journal:
- Alzheimer's & dementia
- Issue:
- Volume 18(2022)Supplement 6
- Issue Display:
- Volume 18, Issue 6 (2022)
- Year:
- 2022
- Volume:
- 18
- Issue:
- 6
- Issue Sort Value:
- 2022-0018-0006-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-12-20
- Subjects:
- Alzheimer's disease -- Periodicals
Alzheimer Disease -- Periodicals
Dementia -- Periodicals
Démence
Maladie d'Alzheimer
Périodique électronique (Descripteur de forme)
Ressource Internet (Descripteur de forme)
616.83 - Journal URLs:
- http://www.sciencedirect.com/science/journal/15525260 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1002/alz.067114 ↗
- Languages:
- English
- ISSNs:
- 1552-5260
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
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