Computer-assisted prediction of clinical progression in the earliest stages of AD
Rhodius-Meester HF, Liedes H, Koikkalainen J, Wolfsgruber S, Coll-Padros N, Kornhuber J, Peters O, Jessen F, Kleineidam L, Molinuevo JL, Rami L, Teunissen CE, Barkhof F, Sikkes SA, Wesselman LM, Slot RE, Verfaillie SC, Scheltens P, Tijms BM, Lötjönen J, van der Flier WM (2018)
Publication Type: Journal article
Publication year: 2018
Journal
Book Volume: 10
Pages Range: 726-736
DOI: 10.1016/j.dadm.2018.09.001
Abstract
Introduction: Individuals with subjective cognitive decline (SCD) are at increased risk for clinical progression. We studied how combining different diagnostic tests can help to identify individuals who are likely to show clinical progression. Methods: We included 674 patients with SCD (46% female, 64 ± 9 years, Mini-Mental State Examination 28 ± 2) from three memory clinic cohorts. A multivariate model based on the Disease State Index classifier incorporated the available baseline tests to predict progression to MCI or dementia over time. We developed and internally validated the model in one cohort and externally validated it in the other cohorts. Results: After 2.9 ± 2.0 years, 151(22%) patients showed clinical progression. Overall performance of the classifier when combining cognitive tests, magnetic resonance imagining, and cerebrospinal fluid showed a balanced accuracy of 74.0 ± 5.5, with high negative predictive value (93.3 ± 2.8). Discussion: We found that a combination of diagnostic tests helps to identify individuals at risk of progression. The classifier had particularly good accuracy in identifying patients who remained stable.
Authors with CRIS profile
Involved external institutions
VTT Technical Research Centre of Finland
Finland (FI)
Rheinische Friedrich-Wilhelms-Universität Bonn
Germany (DE)
Combinostics Oy
Finland (FI)
Free University Medical Center / VU Medisch Centrum
Netherlands (NL)
Universität zu Köln
Germany (DE)
Amsterdam University Medical Centers (Amsterdam UMC) / Amsterdam Universitair Medische Centra
Netherlands (NL)
Hospital Clínic de Barcelona
Spain (ES)
University College London (UCL)
United Kingdom (GB)
Charité - Universitätsmedizin Berlin
Germany (DE)
Finland (FI)
Rheinische Friedrich-Wilhelms-Universität Bonn
Germany (DE)
Combinostics Oy
Finland (FI)
Free University Medical Center / VU Medisch Centrum
Netherlands (NL)
Universität zu Köln
Germany (DE)
Amsterdam University Medical Centers (Amsterdam UMC) / Amsterdam Universitair Medische Centra
Netherlands (NL)
Hospital Clínic de Barcelona
Spain (ES)
University College London (UCL)
United Kingdom (GB)
Charité - Universitätsmedizin Berlin
Germany (DE)
How to cite
APA:
Rhodius-Meester, H.F., Liedes, H., Koikkalainen, J., Wolfsgruber, S., Coll-Padros, N., Kornhuber, J.,... van der Flier, W.M. (2018). Computer-assisted prediction of clinical progression in the earliest stages of AD. Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, 10, 726-736. https://doi.org/10.1016/j.dadm.2018.09.001
MLA:
Rhodius-Meester, Hanneke F.M., et al. "Computer-assisted prediction of clinical progression in the earliest stages of AD." Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring 10 (2018): 726-736.
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