Amyloid biomarkers as predictors of conversion from mild cognitive impairment to Alzheimer's dementia: a comparison of methods.
Alzheimers Res Ther
; 12(1): 155, 2020 11 19.
Article
in En
| MEDLINE
| ID: mdl-33213489
ABSTRACT
BACKGROUND:
Amyloid-ß (Aß) PET is an established predictor of conversion from mild cognitive impairment (MCI) to Alzheimer's dementia (AD). We compared three PET (including an approach based on voxel-wise Cox regression) and one cerebrospinal fluid (CSF) outcome measures in their predictive power.METHODS:
Datasets were retrieved from the ADNI database. In a training dataset (N = 159), voxel-wise Cox regression and principal component analyses were used to identify conversion-related regions (Cox-VOI and AD conversion-related pattern (ADCRP), respectively). In a test dataset (N = 129), the predictive value of mean normalized 18F-florbetapir uptake (SUVR) in AD-typical brain regions (composite SUVR) or the Cox-VOI and the pattern expression score (PES) of ADCRP and CSF Aß42/Aß40 as predictors were compared by Cox models (corrected for age and sex).RESULTS:
All four Aß measures were significant predictors (p < 0.001). Prediction accuracies (Harrell's c) showed step-wise significant increases from Cox-SUVR (c = 0.71; HR = 1.84 per Z-score increase), composite SUVR (c = 0.73; HR = 2.18), CSF Aß42/Aß40 (c = 0.75; HR = 3.89) to PES (c = 0.77; HR = 2.71).CONCLUSION:
The PES of ADCRP is the most predictive Aß PET outcome measure, comparable to CSF Aß42/Aß40, with a slight but statistically significant advantage.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Alzheimer Disease
/
Cognitive Dysfunction
Type of study:
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
En
Journal:
Alzheimers Res Ther
Year:
2020
Document type:
Article
Affiliation country:
Germany