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• W2896830523 abstract "The NIA-AA criteria state that biomarker evidence, including amyloid PET, could support in establishing the underlying etiology in patients with mild cognitive impairment (MCI). However, data on how to translate amyloid PET results to individual MCI patients in terms of prognostics, are currently lacking. We aim to construct a prognostic model, based on amyloid PET, that predicts clinical progression in individual patients with MCI. We included 411 patients with a baseline diagnosis of MCI from the Alzheimer's Disease Neuroimaging Initiative (ADNI; age=72±7, 45%F, Mini-Mental State Examination(MMSE)=28±2). Prognostic models were constructed with Cox proportional hazards analysis. Outcome was clinical progression to AD dementia. For comparison, a demographic model was constructed including only demographic information (age, sex and MMSE). The PET model was constructed including main effects of PET (Florbetapir, SUVr cutoff=1.10), demographic information, and interactions between PET and demographics. Both models were constructed via a backward selection procedure. In an additional set of analyses, we added APOE e4 dose as a predictor, to see whether this further improved the model. The models were validated in the Amsterdam Dementia. 100 (24%) MCI patients showed clinical progression in 3±1 years. Age, MMSE and an interaction between age and MMSE were retained in the demographic model (Harrell's C=0.68). In the PET model, main effects of amyloid PET and MMSE were included (Harrell's C=0.75, significantly better fit than demographic model: LR; chi2=46.55, p<0.001). To exemplify: (i) patients with a MMSE of 24 and a negative PET had progression probabilities of 21% (11-39) within five years and 14%(7-26) within three years, while (ii) patients with a positive PET scan and the same MMSE scores had high probabilities of progression; 78% (64-90) within five years and 61% (47-75) within three years. Including APOE e4 dose did not improve the prognostic performance (Harrell's C=0.76, LR chi2=5.79, p=0.06). External validation showed robustness of the models in the Amsterdam Dementia Cohort (Demographic model Harrell's C=0.72, PET model Harrell's C=0.84). We constructed models that allow the interpretation of amyloid PET in individual MCI patients and show that amyloid PET improves prediction over use of demographics only." @default.
• W2896830523 created "2018-10-26" @default.
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• W2896830523 date "2018-07-01" @default.
• W2896830523 modified "2023-09-26" @default.
• W2896830523 title "O3‐13‐06: TAKING AMYLOID PET INTO THE CLINIC: INDIVIDUALIZED RISK PREDICTION IN MCI PATIENTS — THE ABIDE PROJECT" @default.
• W2896830523 doi "https://doi.org/10.1016/j.jalz.2018.06.2848" @default.
• W2896830523 hasPublicationYear "2018" @default.
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