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Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study.
J Alzheimers Dis. 2016 03 05; 52(1):133-43.JA

Abstract

Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play an important role. Considering this background, we investigated the role of cognitive reserve, cognitive performance in neuropsychological testing, hippocampal volumes, APOE genotype, and magnetoencephalography power sources to predict the conversion to AD in a sample of 33 MCI patients. MCIs were followed up during a 2-year period and divided into two subgroups according to their outcome: The "stable" MCI group (sMCI, 21 subjects) and the "progressive" MCI group (pMCI, 12 subjects). Baseline multifactorial information was submitted to a hierarchical logistic regression analysis to build a predictive model of conversion to AD. Results indicated that the combination of left hippocampal volume, occipital cortex theta power, and clock drawing copy subtest scores predicted conversion to AD with a 100% of sensitivity and 94.7% of specificity. According to these results it might be suggested that anatomical, cognitive, and neurophysiological markers may be considered as "first order" predictors of progression to AD, while APOE or cognitive reserve proxies might play a more secondary role.

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Authors+Show Affiliations

López ME
Laboratory of Neuropsychology, Universitat de les Illes Balears, Palma de Mallorca, Spain. Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain. Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain.
Turrero A
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Department of Biostatistics and Operational Investigation, Complutense University of Madrid, Spain.
Cuesta P
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain.
López-Sanz D
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain. Department of Basic Psychology II, Complutense University of Madrid, Spain.
Bruña R
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain.
Marcos A
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Neurology Department, San Carlos University Hospital, Madrid, Spain.
Gil P
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Geriatrics Department, San Carlos University Hospital, Madrid, Spain.
Yus M
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Radiology Department, San Carlos University Hospital, Madrid, Spain.
Barabash A
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Laboratory of Psychoneuroendocrinology and Molecular Genetics, Biomedical Research Foundation, San Carlos University Hospital, Madrid, Spain.
Cabranes JA
Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Laboratory of Psychoneuroendocrinology and Molecular Genetics, Biomedical Research Foundation, San Carlos University Hospital, Madrid, Spain.
Maestú F
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain. Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Department of Basic Psychology II, Complutense University of Madrid, Spain.
Fernández A
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Complutense University of Madrid and Technical University of Madrid, Spain. Institute of Sanitary Investigation [IdISSC], San Carlos University Hospital, Madrid, Spain. Department of Psychiatry, Faculty of Medicine, Complutense University of Madrid, Spain.

MeSH

AgedAlzheimer DiseaseApolipoproteins EBrainCognitive DysfunctionCognitive ReserveDisease ProgressionFemaleFollow-Up StudiesHumansLogistic ModelsMagnetic Resonance ImagingMagnetoencephalographyMaleMental Status ScheduleMultivariate AnalysisNeuropsychological TestsOrgan SizePrognosisSensitivity and Specificity

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

27060953

Citation

López, María Eugenia, et al. "Searching for Primary Predictors of Conversion From Mild Cognitive Impairment to Alzheimer's Disease: a Multivariate Follow-Up Study." Journal of Alzheimer's Disease : JAD, vol. 52, no. 1, 2016, pp. 133-43.
López ME, Turrero A, Cuesta P, et al. Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study. J Alzheimers Dis. 2016;52(1):133-43.
López, M. E., Turrero, A., Cuesta, P., López-Sanz, D., Bruña, R., Marcos, A., Gil, P., Yus, M., Barabash, A., Cabranes, J. A., Maestú, F., & Fernández, A. (2016). Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study. Journal of Alzheimer's Disease : JAD, 52(1), 133-43. https://doi.org/10.3233/JAD-151034
López ME, et al. Searching for Primary Predictors of Conversion From Mild Cognitive Impairment to Alzheimer's Disease: a Multivariate Follow-Up Study. J Alzheimers Dis. 2016 03 5;52(1):133-43. PubMed PMID: 27060953.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Searching for Primary Predictors of Conversion from Mild Cognitive Impairment to Alzheimer's Disease: A Multivariate Follow-Up Study. AU - López,María Eugenia, AU - Turrero,Agustín, AU - Cuesta,Pablo, AU - López-Sanz,David, AU - Bruña,Ricardo, AU - Marcos,Alberto, AU - Gil,Pedro, AU - Yus,Miguel, AU - Barabash,Ana, AU - Cabranes,José Antonio, AU - Maestú,Fernando, AU - Fernández,Alberto, PY - 2016/4/11/entrez PY - 2016/4/12/pubmed PY - 2017/1/31/medline KW - APOE KW - Alzheimer’s disease KW - cognitive reserve KW - hippocampal volume KW - magnetoencephalography; mild cognitive impairment KW - neuropsychological tests KW - predictive model SP - 133 EP - 43 JF - Journal of Alzheimer's disease : JAD JO - J Alzheimers Dis VL - 52 IS - 1 N2 - Recent proposals of diagnostic criteria within the healthy aging-Alzheimer's disease (AD) continuum stressed the role of biomarker information. More importantly, such information might be critical to predict those mild cognitive impairment (MCI) patients at a higher risk of conversion to AD. Usually, follow-up studies utilize a reduced number of potential markers although the conversion phenomenon may be deemed as multifactorial in essence. In addition, not only biological but also cognitive markers may play an important role. Considering this background, we investigated the role of cognitive reserve, cognitive performance in neuropsychological testing, hippocampal volumes, APOE genotype, and magnetoencephalography power sources to predict the conversion to AD in a sample of 33 MCI patients. MCIs were followed up during a 2-year period and divided into two subgroups according to their outcome: The "stable" MCI group (sMCI, 21 subjects) and the "progressive" MCI group (pMCI, 12 subjects). Baseline multifactorial information was submitted to a hierarchical logistic regression analysis to build a predictive model of conversion to AD. Results indicated that the combination of left hippocampal volume, occipital cortex theta power, and clock drawing copy subtest scores predicted conversion to AD with a 100% of sensitivity and 94.7% of specificity. According to these results it might be suggested that anatomical, cognitive, and neurophysiological markers may be considered as "first order" predictors of progression to AD, while APOE or cognitive reserve proxies might play a more secondary role. SN - 1875-8908 UR - https://www.unboundmedicine.com/medline/citation/27060953/Searching_for_Primary_Predictors_of_Conversion_from_Mild_Cognitive_Impairment_to_Alzheimer's_Disease:_A_Multivariate_Follow_Up_Study_ DB - PRIME DP - Unbound Medicine ER -