| Home > Publications Database > Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals. > print |
| 001 | 162705 | ||
| 005 | 20230915092402.0 | ||
| 024 | 7 | _ | |a 10.1186/s13195-021-00880-x |2 doi |
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| 037 | _ | _ | |a DZNE-2021-01362 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 610 |
| 100 | 1 | _ | |a Biel, Davina |b 0 |
| 245 | _ | _ | |a Tau-PET and in vivo Braak-staging as prognostic markers of future cognitive decline in cognitively normal to demented individuals. |
| 260 | _ | _ | |a London |c 2021 |b BioMed Central |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1655731227_9508 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
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| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a CC BY |
| 520 | _ | _ | |a To systematically examine the clinical utility of tau-PET and Braak-staging as prognostic markers of future cognitive decline in older adults with and without cognitive impairment.In this longitudinal study, we included 396 cognitively normal to dementia subjects with 18F-Florbetapir/18F-Florbetaben-amyloid-PET, 18F-Flortaucipir-tau-PET and ~ 2-year cognitive follow-up. Annual change rates in global cognition (i.e., MMSE, ADAS13) and episodic memory were calculated via linear-mixed models. We determined global amyloid-PET (Centiloid) plus global and Braak-stage-specific tau-PET SUVRs, which were stratified as positive(+)/negative(-) at pre-established cut-offs, classifying subjects as Braak0/BraakI+/BraakI-IV+/BraakI-VI+/Braakatypical+. In bootstrapped linear regression, we assessed the predictive accuracy of global tau-PET SUVRs vs. Centiloid on subsequent cognitive decline. To test for independent tau vs. amyloid effects, analyses were further controlled for the contrary PET-tracer. Using ANCOVAs, we tested whether more advanced Braak-stage predicted accelerated future cognitive decline. All models were controlled for age, sex, education, diagnosis, and baseline cognition. Lastly, we determined Braak-stage-specific conversion risk to mild cognitive impairment (MCI) or dementia.Baseline global tau-PET SUVRs explained more variance (partial R2) in future cognitive decline than Centiloid across all cognitive tests (Cohen's d ~ 2, all tests p < 0.001) and diagnostic groups. Associations between tau-PET and cognitive decline remained consistent when controlling for Centiloid, while associations between amyloid-PET and cognitive decline were non-significant when controlling for tau-PET. More advanced Braak-stage was associated with gradually worsening future cognitive decline, independent of Centiloid or diagnostic group (p < 0.001), and elevated conversion risk to MCI/dementia.Tau-PET and Braak-staging are highly predictive markers of future cognitive decline and may be promising single-modality estimates for prognostication of patient-specific progression risk in clinical settings. |
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| 650 | _ | 7 | |a Alzheimer’s disease |2 Other |
| 650 | _ | 7 | |a Amyloid-PET |2 Other |
| 650 | _ | 7 | |a Braak-staging |2 Other |
| 650 | _ | 7 | |a Conversion risk |2 Other |
| 650 | _ | 7 | |a Tau-PET |2 Other |
| 650 | _ | 7 | |a Amyloid beta-Peptides |2 NLM Chemicals |
| 650 | _ | 7 | |a tau Proteins |2 NLM Chemicals |
| 650 | _ | 2 | |a Aged |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: complications |2 MeSH |
| 650 | _ | 2 | |a Alzheimer Disease: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Amyloid beta-Peptides |2 MeSH |
| 650 | _ | 2 | |a Cognitive Dysfunction: diagnostic imaging |2 MeSH |
| 650 | _ | 2 | |a Humans |2 MeSH |
| 650 | _ | 2 | |a Longitudinal Studies |2 MeSH |
| 650 | _ | 2 | |a Positron-Emission Tomography |2 MeSH |
| 650 | _ | 2 | |a Prognosis |2 MeSH |
| 650 | _ | 2 | |a tau Proteins |2 MeSH |
| 700 | 1 | _ | |a Brendel, Matthias |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Rubinski, Anna |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Bürger, Katharina |0 P:(DE-2719)2811351 |b 3 |u dzne |
| 700 | 1 | _ | |a Janowitz, Daniel |b 4 |
| 700 | 1 | _ | |a Dichgans, Martin |0 P:(DE-2719)2000030 |b 5 |u dzne |
| 700 | 1 | _ | |a Franzmeier, Nicolai |0 0000-0001-9736-2283 |b 6 |
| 700 | 1 | _ | |a Initiative, Alzheimer’s Disease Neuroimaging |b 7 |e Collaboration Author |
| 773 | _ | _ | |a 10.1186/s13195-021-00880-x |g Vol. 13, no. 1, p. 137 |0 PERI:(DE-600)2506521-X |n 1 |p 137 |t Alzheimer's research & therapy |v 13 |y 2021 |x 1758-9193 |
| 856 | 4 | _ | |y OpenAccess |u https://pub.dzne.de/record/162705/files/DZNE-2021-01362.pdf |
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