Brain amyloidosis ascertainment from cognitive, imaging, and peripheral blood protein measures.
Neurology
; 84(7): 729-37, 2015 Feb 17.
Article
en En
| MEDLINE
| ID: mdl-25609767
ABSTRACT
BACKGROUND:
The goal of this study was to identify a clinical biomarker signature of brain amyloidosis in the Alzheimer's Disease Neuroimaging Initiative 1 (ADNI1) mild cognitive impairment (MCI) cohort.METHODS:
We developed a multimodal biomarker classifier for predicting brain amyloidosis using cognitive, imaging, and peripheral blood protein ADNI1 MCI data. We used CSF ß-amyloid 1-42 (Aß42) ≤ 192 pg/mL as proxy measure for Pittsburgh compound B (PiB)-PET standard uptake value ratio ≥ 1.5. We trained our classifier in the subcohort with CSF Aß42 but no PiB-PET data and tested its performance in the subcohort with PiB-PET but no CSF Aß42 data. We also examined the utility of our biomarker signature for predicting disease progression from MCI to Alzheimer dementia.RESULTS:
The CSF training classifier selected Mini-Mental State Examination, Trails B, Auditory Verbal Learning Test delayed recall, education, APOE genotype, interleukin 6 receptor, clusterin, and ApoE protein, and achieved leave-one-out accuracy of 85% (area under the curve [AUC] = 0.8). The PiB testing classifier achieved an AUC of 0.72, and when classifier self-tuning was allowed, AUC = 0.74. The 36-month disease-progression classifier achieved AUC = 0.75 and accuracy = 71%.CONCLUSIONS:
Automated classifiers based on cognitive and peripheral blood protein variables can identify the presence of brain amyloidosis with a modest level of accuracy. Such methods could have implications for clinical trial design and enrollment in the near future. CLASSIFICATION OF EVIDENCE This study provides Class II evidence that a classification algorithm based on cognitive, imaging, and peripheral blood protein measures identifies patients with brain amyloid on PiB-PET with moderate accuracy (sensitivity 68%, specificity 78%).
Texto completo:
1
Colección:
01-internacional
Asunto principal:
Encéfalo
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Cognición
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Disfunción Cognitiva
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Amiloidosis
Tipo de estudio:
Clinical_trials
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Diagnostic_studies
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Etiology_studies
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Evaluation_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Aged
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Female
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Humans
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Male
Idioma:
En
Revista:
Neurology
Año:
2015
Tipo del documento:
Article