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Mild cognitive impairment with suspected nonamyloid pathology (SNAP): Prediction of progression
Open accessAbstract
OBJECTIVES: The aim of this study was to investigate predictors of progressive cognitive deterioration in patients with suspected non-Alzheimer disease pathology (SNAP) and mild cognitive impairment (MCI). METHODS: We measured markers of amyloid pathology (CSF β-amyloid 42) and neurodegeneration (hippocampal volume on MRI and cortical metabolism on [(18)F]-fluorodeoxyglucose-PET) in 201 patients with MCI clinically followed for up to 6 years to detect progressive cognitive deterioration. We categorized patients with MCI as A+/A- and N+/N- based on presence/absence of amyloid pathology and neurodegeneration. SNAPs were A-N+ cases. RESULTS: The proportion of progressors was 11% (8/41), 34% (14/41), 56% (19/34), and 71% (60/85) in A-N-, A+N-, SNAP, and A+N+, respectively; the proportion of APOE ε4 carriers was 29%, 70%, 31%, and 71%, respectively, with the SNAP group featuring a significantly different proportion than both A+N- and A+N+ groups (p ≤ 0.005). Hypometabolism in SNAP patients was comparable to A+N+ patients (p = 0.154), while hippocampal atrophy was more severe in SNAP patients (p = 0.002). Compared with A-N-, SNAP and A+N+ patients had significant risk of progressive cognitive deterioration (hazard ratio = 2.7 and 3.8, p = 0.016 and p < 0.001), while A+N- patients did not (hazard ratio = 1.13, p = 0.771). In A+N- and A+N+ groups, none of the biomarkers predicted time to progression. In the SNAP group, lower time to progression was correlated with greater hypometabolism (r = 0.42, p = 0.073). CONCLUSIONS: Our findings support the notion that patients with SNAP MCI feature a specific risk progression profile.
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“The rate of cognitive decline is significantly greater for cognitively impaired and CU individuals who have abnormalities in both an amyloid biomarker and a second biomarker type (which could be CSF T-tau or P-tau, atrophy, or hypometabolism) in comparison to individuals who have neither or only one of these biomarker abnormalities [30–35,39,40,42–45].”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [34]
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“However, the combination of an abnormal MRI, CSF T-tau, or FDG PET study with an abnormal amyloid biomarker provides much more powerful prediction of future cognitive decline [30–35,39,40,42–45] than an abnormal amyloid study alone.”
From NIA‐AA Research Framework: Toward a biological definition of Alzheimer's disease (2018) · cites this paper as [34]
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References 31 · Cited by 142
Metadata
- Authors
- Caroli, A., Prestia, A., Galluzzi, S., Ferrari, C., van der Flier, W. M., Ossenkoppele, R., Van Berckel, B., Barkhof, F., Teunissen, C., Wall, A. E., Carter, S. F., Schöll, M., Choo, I. H., Grimmer, T., Redolfi, A., Nordberg, A., Scheltens, P., Drzezga, A., Frisoni, G. B., Initiative, F. T. A. D. N., Weiner, M., Aisen, P., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Gamst, A., Saykin, A. J., Morris, J., Potter, W. Z., Green, R. C., Montine, T., Petersen, R., Aisen, P., Gamst, A., Thomas, R. G., Donohue, M., Walter, S., Jack, C. R., Dale, A., Bernstein, M., Felmlee, J., Fox, N., Thompson, P., Schuff, N., Alexander, G., DeCarli, C., Jagust, W., Bandy, D., Koeppe, R. A., Foster, N., Reiman, E. M., Chen, K., Mathis, C., Morris, J., Cairns, N. J., Taylor-Reinwald, L., Trojanowki, J. Q., Shaw, L., Lee, V. M.-Y., Korecka, M., Toga, A. W., Crawford, K., Neu, S., Beckett, L., Harvey, D., Gamst, A., Kornak, J., Saykin, A. J., Foroud, T. M., Potkin, S., Shen, L., Kachaturian, Z., Frank, R., Snyder, P. J., Molchan, S., Kaye, J., Dolen, S., Quinn, J., Schneider, L., Pawluczyk, S., Spann, B. M., Brewer, J., Vanderswag, H., Heidebrink, J. L., Lord, J. L., Petersen, R., Johnson, K., Doody, R. S., Villanueva-Meyer, J., Chowdhury, M., Stern, Y., Honig, L. S., Bell, K. L., Morris, J. C., Mintun, M. A., Schneider, S., Marson, D., Griffith, R., Clark, D., Grossman, H., Tang, C., Marzloff, G., deToledo-Morrell, L., Shah, R. C., Duara, R., Varon, D., Roberts, P., Albert, M. S., Kozauer, N., Zerrate, M., Rusinek, H., de Leon, M. J., De Santi, S. M., Doraiswamy, P. M., Petrella, J. R., Aiello, M., Arnold, S., Karlawish, J. H., Wolk, D., Smith, C. D., Given, C. A., Hardy, P., Lopez, O. L., Oakley, M., Simpson, D. M., Ismail, M. S., Brand, C., Richard, J., Mulnard, R. A., Thai, G., Mc-Adams-Ortiz, C., Diaz-Arrastia, R., Martin-Cook, K., DeVous, M., Levey, A. I., Lah, J. J., Cellar, J. S., Burns, J. M., Anderson, H. S., Laubinger, M. M., Apostolova, L., Silverman, D. H. S., Lu, P. H., Graff-Radford, N. R., Parfitt, F., Johnson, H., Farlow, M., Herring, S., Hake, A. M., van Dyck, C. H., MacAvoy, M. G., Benincasa, A. L., Chertkow, H., Bergman, H., Hosein, C., Black, S., Stefanovic, B., Caldwell, C., Robin Hsiung, G.-Y., Feldman, H., Assaly, M., Kertesz, A., Rogers, J., Trost, D., Bernick, C., Munic, D., Wu, C.-K., Johnson, N., Mesulam, M., Sadowsky, C., Martinez, W., Villena, T., Turner, R. S., Johnson, K., Reynolds, B., Sperling, R. A., Rentz, D. M., Johnson, K. A., Rosen, A., Tinklenberg, J., Ashford, W., Sabbagh, M., Connor, D., Jacobson, S., Killiany, R., Norbash, A., Nair, A., Obisesan, T. O., Jayam-Trouth, A., Wang, P., Lerner, A., Hudson, L., Ogrocki, P., DeCarli, C., Fletcher, E., Carmichael, O., Kittur, S., Borrie, M., Lee, T.-Y., Bartha, R., Johnson, S., Asthana, S., Carlsson, C. M., Potkin, S. G., Preda, A., Nguyen, D., Tariot, P., Fleisher, A., Reeder, S., Bates, V., Capote, H., Rainka, M., Hendin, B. A., Scharre, D. W., Kataki, M., Zimmerman, E. A., Celmins, D., Brown, A. D., Pearlson, G., Blank, K., Anderson, K., Saykin, A. J., Santulli, R. B., Englert, J., Williamson, J. D., Sink, K. M., Watkins, F., Ott, B. R., Stopa, E., Tremont, G., Salloway, S., Malloy, P., Correia, S., Rosen, H. J., Miller, B. L., Mintzer, J., Longmire, C. F., & Spicer, K.
- Affiliations
- Mario Negri Institute for Pharmacological Research (IT)
- From the Medical Imaging Unit (A.C.), Biomedical Engineering Department, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Bergamo; LENITEM—Laboratory of Epidemiology Neuroimaging and Telemedicine (A.P., S.G., C.F., A.R., G.B.F.), IRCCS Centro San Giovanni di Dio Fatebenefratelli, Brescia, Italy; Alzheimer Center and Department of Neurology (W.M.v.d.F., R.O., P.S.), Department of Epidemiology & Biostatistics (W.M.v.d.F.), Department of Radiology & Nuclear Medicine (B.V.B., F.B.), and...
- Uppsala University (SE)
- Chosun University (KR)
- University of Cologne (DE)
- Centro San Giovanni di Dio Fatebenefratelli (IT)
- University of Gothenburg (SE)
- ORCID
- Caroli, Anna
- Prestia, Annapaola
- Galluzzi, Samantha
- Ferrari, Clarissa
- Ossenkoppele, Rik
- Barkhof, Frederik
- Teunissen, Charlotte
- Wall, Anders E.
- Carter, Stephen F.
- Schöll, Michael
- Choo, Il Han
- Grimmer, Timo
- Redolfi, Alberto
- Nordberg, Agneta
- Scheltens, Philip
- Drzezga, Alexander
- Frisoni, Giovanni B.
- Thomas, Ronald G.
- Donohue, Michael
- Walter, Sarah
- Dale, Anders
- Felmlee, Joel
- Fox, Nick
- Thompson, Paul
- Alexander, Gene
- Koeppe, Robert A.
- Reiman, Eric M.
- Chen, Kewei
- Cairns, Nigel J.
- Lee, Virginia M.-Y.
- Korecka, Magdalena
- Crawford, Karen
- Kornak, John
- Foroud, Tatiana M.
- Shen, Li
- Frank, Richard
- Snyder, Peter J.
- Kaye, Jeffrey
- Quinn, Joseph
- Schneider, Lon
- Heidebrink, Judith L.
- Lord, Joanne L.
- Johnson, Kris
- Stern, Yaakov
- Honig, Lawrence S.
- Bell, Karen L.
- Marson, Daniel
- Clark, David
- Tang, Cheuk
- Marzloff, George
- Shah, Raj C.
- Duara, Ranjan
- Albert, Marilyn S.
- Rusinek, Henry
- Doraiswamy, P. Murali
- Petrella, Jeffrey R.
- Karlawish, Jason H.
- Wolk, David
- Smith, Charles D.
- Hardy, Peter
- Thai, Gaby
- Diaz-Arrastia, Ramon
- DeVous, Michael
- Levey, Allan I.
- Lah, James J.
- Burns, Jeffrey M.
- Apostolova, Liana
- Silverman, Daniel H.S.
- Lu, Po H.
- Johnson, Heather
- Farlow, Martin
- Hake, Ann M.
- Chertkow, Howard
- Bergman, Howard
- Black, Sandra
- Stefanovic, Bojana
- Feldman, Howard
- Kertesz, Andrew
- Bernick, Charles
- Mesulam, Marsel
- Turner, Raymond Scott
- Sperling, Reisa A.
- Rentz, Dorene M.
- Johnson, Keith A.
- Rosen, Allyson
- Jacobson, Sandra
- Killiany, Ronald
- Norbash, Alexander
- Nair, Anil
- Obisesan, Thomas O.
- Wang, Paul
- Lerner, Alan
- Carmichael, Owen
- Johnson, Sterling
- Asthana, Sanjay
- Carlsson, Cynthia M.
- Preda, Adrian
- Nguyen, Dana
- Tariot, Pierre
- Fleisher, Adam
- Hendin, Barry A.
- Scharre, Douglas W.
- Kataki, Maria
- Pearlson, Godfrey
- Santulli, Robert B.
- Williamson, Jeff D.
- Sink, Kaycee M.
- Ott, Brian R.
- Tremont, Geoffrey
- Salloway, Stephen
- Correia, Stephen
- Rosen, Howard J.
- Miller, Bruce L.
- Mintzer, Jacobo
- Venue
- Neurology
- Published
- 2015-02-03
- Volume
- 84
- Issue
- 5
- Pages
- 508-515
- ISSN
- 0028-3878 (ISSN-L)
- 1526-632X
- PMC
- PMC4336071
- OpenAlex
- W1587329234
- Cited by
- 142
- References
- 31
- Citations by year
- 2026: 4 · 2025: 5 · 2024: 7 · 2023: 13 · 2022: 13 · 2021: 14 · 2020: 10 · 2019: 14 · 2018: 16 · 2017: 23 · 2016: 11 · 2015: 12
- FWCI
- 16.76
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Neurology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Research Explorer (The University of Manchester) (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- Archive ouverte UNIGE (University of Geneva) (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- UCL Discovery (University College London) (submittedVersion)
- mediaTUM – the media and publications repository of the Technical University Munich (Technical University Munich) (submittedVersion)
- Archive ouverte UNIGE (University of Geneva) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Columbia Academic Commons (Columbia University)
- Funders
- U.S. Department of Defense (U01 AG024904, AG024904)
- Alzheimer's Association (U01 AG024904, W81XWH-12-2-0012)
- Bristol-Myers Squibb (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Eli Lilly and Company (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Pfizer (AG024904, W81XWH-12-2-0012, U01 AG024904)
- Biogen (W81XWH-12-2-0012, U01 AG024904, AG024904)
- University of Southern California (W81XWH-12-2-0012, U01 AG024904)
- F. Hoffmann-La Roche (W81XWH-12-2-0012, AG024904, U01 AG024904)
- Medpace (U01 AG024904)
- Meso Scale Diagnostics (U01 AG024904, AG024904, W81XWH-12-2-0012)
- Synarc (U01 AG024904)
- Alzheimer's Disease Neuroimaging Initiative (W81XWH-12-2–0012, U01AG024904, AG024904, W81XWH-12-2-)
- BioClinica (U01 AG024904, W81XWH-12-2-0012, AG024904)
- Novartis Pharmaceuticals Corporation (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Northern California Institute for Research and Education (U01 AG024904, W81XWH-12-2-0012)
- European Commission (U01 AG024904, 283562, W81XWH-12-2-0012)
- Ministero della Salute
- Eisai (W81XWH-12-2-0012, U01 AG024904, AG024904)
- Karolinska Institutet (05817)
- Vetenskapsrådet
- Swedish Brain Power (05817)
- Servier (AG024904, W81XWH-12-2-0012, U01 AG024904)
- IXICO (AG024904, W81XWH-12-2-0012, U01 AG024904)
- National Institutes of Health (UL1TR001108, 5u01ag024904-10, W81XWH-12-2-0012, U01-AG024904, AG024904)
- Genentech (W81XWH-12-2-0012, AG024904, U01 AG024904)
- University of California, San Diego
- Canadian Institutes of Health Research (U01 AG024904, W81XWH-12-2-0012)
- National Institute on Aging (U01-AG-024904, P50AG005134, U24AG021886, P30AG062421)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Neurology › Neurological Disease Mechanisms and Treatments
- Keywords
- mild cognitive impairment, cognitive progression, amyloid pathology, hippocampal atrophy, hypometabolism, APOE ε4, neurodegeneration, dementia risk prediction, biomarkers
- MeSH terms
- Aged, Aged, 80 and over, Female, Follow-Up Studies, Humans, Male, Middle Aged, Predictive Value of Tests, Databases, Factual, Disease Progression, Neurodegenerative Diseases, Plaque, Amyloid, Cognitive Dysfunction
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