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@ARTICLE{Lange:843773,
author = {Lange, Catharina and Suppa, Per and Pietrzyk, Uwe and
Makowski, Marcus R. and Spies, Lothar and Peters, Oliver and
Buchert, Ralph},
title = {{P}rediction of {A}lzheimer’s {D}ementia in {P}atients
with {A}mnestic {M}ild {C}ognitive {I}mpairment in
{C}linical {R}outine: {I}ncremental {V}alue of {B}iomarkers
of {N}eurodegeneration and {B}rain {A}myloidosis {A}dded
{S}tepwise to {C}ognitive {S}tatus},
journal = {Journal of Alzheimer's disease},
volume = {61},
number = {1},
issn = {1875-8908},
address = {Amsterdam},
publisher = {IOS Press},
reportid = {FZJ-2018-01316},
pages = {373 - 388},
year = {2018},
abstract = {The aim of this study was to evaluate the incremental
benefit of biomarkers for prediction of Alzheimer’s
disease dementia (ADD) in patients with mild cognitive
impairment (MCI) when added stepwise in the order of their
collection in clinical routine. The model started with
cognitive status characterized by the ADAS-13 score.
Hippocampus volume (HV), cerebrospinal fluid (CSF)
phospho-tau (pTau), and the FDG t-sum score in an AD
meta-region-of-interest were compared as neurodegeneration
markers. CSF-Aβ1-42 was used as amyloidosis marker. The
incremental prognostic benefit from these markers was
assessed by stepwise Kaplan-Meier survival analysis in 402
ADNI MCI subjects. Predefined cutoffs were used to
dichotomize patients as ‘negative’ or ‘positive’ for
AD characteristic alteration with respect to each marker.
Among the neurodegeneration markers, CSF-pTau provided the
best incremental risk stratification when added to ADAS-13.
FDG PET outperformed HV only in MCI subjects with relatively
preserved cognition. Adding CSF-Aβ provided further risk
stratification in pTau-positive subjects, independent of
their cognitive status. Stepwise integration of biomarkers
allows stepwise refinement of risk estimates for MCI-to-ADD
progression. Incremental benefit strongly depends on the
patient’s status according to the preceding diagnostic
steps. The stepwise Kaplan-Meier curves might be useful to
optimize diagnostic workflow in individual patients.},
cin = {INM-4 / JARA-BRAIN},
ddc = {610},
cid = {I:(DE-Juel1)INM-4-20090406 / $I:(DE-82)080010_20140620$},
pnm = {573 - Neuroimaging (POF3-573)},
pid = {G:(DE-HGF)POF3-573},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000416369700032},
doi = {10.3233/JAD-170705},
url = {https://juser.fz-juelich.de/record/843773},
}