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The clinical application of optimized AT(N) classification in Alzheimer's clinical syndrome (ACS) and non-ACS conditions
Kensaku Kasuga, Tamao Tsukie, Masataka Kikuchi, Takayoshi Tokutake, Kazuo Washiyama, Soichiro Shimizu, Hiroshi Yoshizawa, Yasuko Kuroha et al.. Neurobiology of aging, 2023-03-17
Topic: Plasma and spinal-fluid biomarkers
We aimed to assess the utility of AT(N) classification in clinical practice. We measured the cerebrospinal fluid levels of amyloid-β (Aβ) 42, Aβ40, phosphorylated tau, total tau, and neurofilament light chain (NfL) in samples from 230 patients with Alzheimer's clinical syndrome (ACS) and 328 patients with non-ACS. The concordance of two A-markers (i.e., Aβ42 alone and the Aβ42/Aβ40 ratio) was not significantly different between the ACS (87.4%) and non-ACS (74.1%) groups. However, the frequency of discordant cases with AAβ42-alone+/AAβ-ratio- was significantly higher in the non-ACS (23.8%) than in the ACS group (7.4%). The concordance of two N-markers (i.e., total tau and NfL) was 40.4% in the ACS group and 24.4% in the non-ACS group. In the ACS samples, the frequency of biological Alzheimer's disease (i.e., A+T+) in Ntau+ cases was 95% while that in NNfL+ cases was 65%. Reflecting Aβ deposition and neurodegeneration more accurately, we recommend the use of AT(N) classification defined by cerebrospinal fluid AAβ-ratioTNNfL in clinical practice.
Key findings
- The concordance of two A-markers (i.e., Aβ42 alone and the Aβ42/Aβ40 ratio) was not significantly different between the ACS (87.4%) and non-ACS (74.1%) groups.
- However, the frequency of discordant cases with AAβ42-alone+/AAβ-ratio- was significantly higher in the non-ACS (23.8%) than in the ACS group (7.4%).
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Study details
- Participants230
- Effect size87.4%; 74.1%; 23.8%
- Evidence strengthLow
How this study scored 54/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 30 of the 56 points we could judge it on, which is 54 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Neurobiology of aging) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 3 / 5 | 2023 — within 6 year(s) of the newest study here |
| Sample size | 2 / 4 | 230 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 37030016) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 30 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 30 of the 56 points we could judge it on is 54 out of 100. |
| Total | 54 / 100 | — |
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Cite this study APA, Vancouver, BibTeX · download .bib or .ris
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APA 7th
Kasuga, K., Tsukie, T., Kikuchi, M., Tokutake, T., Washiyama, K., Shimizu, S., et al. (2023). The clinical application of optimized AT(N) classification in Alzheimer's clinical syndrome (ACS) and non-ACS conditions. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2023.03.007
Vancouver
Kasuga K, Tsukie T, Kikuchi M, Tokutake T, Washiyama K, Shimizu S, et al. The clinical application of optimized AT(N) classification in Alzheimer's clinical syndrome (ACS) and non-ACS conditions. Neurobiology of aging. 2023. doi:10.1016/j.neurobiolaging.2023.03.007. PMID: 37030016.
BibTeX
@article{kasuga2023-37030016,
author = {Kasuga, Kensaku and Tsukie, Tamao and Kikuchi, Masataka and Tokutake, Takayoshi and Washiyama, Kazuo and Shimizu, Soichiro and Yoshizawa, Hiroshi and Kuroha, Yasuko and others},
title = {{The clinical application of optimized AT(N) classification in Alzheimer's clinical syndrome (ACS) and non-ACS conditions}},
journal = {Neurobiology of aging},
year = {2023},
doi = {10.1016/j.neurobiolaging.2023.03.007},
pmid = {37030016},
url = {https://doi.org/10.1016/j.neurobiolaging.2023.03.007}
}
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