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Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers.
J Alzheimers Dis. 2018; 62(1):39-60.JA

Abstract

Vascular cognitive impairment and dementia (VCID) is a diagnostic term applied to cognitively impaired individuals with heterogeneous cerebrovascular conditions affecting large and/or small vessels. Individual biomarkers have been identified as instrumental in relating VCID to specific underlying pathologies to better characterize this syndrome. Emerging research to refine panels of biomarkers will increase classification sensitivity and specificity. Refined VCID clustering based on the severity and pathology of vascular injury will permit the development of optimal prevention and treatment strategies. Here, we review recently reported data concerning the diversity of VCID-related pathology and attempts for VCID clustering based on biomarkers obtained from different sets of measurements. We discuss three major sets of biomarkers: 1) neuroimaging biomarkers, 2) neuropsychological performance measures, and 3) biochemical markers in current VCID clustering. Finally, we highlight the effect of blood-brain barrier health on cerebrovascular disease trajectory.

Authors+Show Affiliations

Clinical Psychology Program, University of South Florida, Tampa, FL, USA.Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA. James A. Haley VA Medical Center, Tampa, FL, USA.James A. Haley VA Medical Center, Tampa, FL, USA. Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA.James A. Haley VA Medical Center, Tampa, FL, USA. Psychiatry and Behavioral Sciences, University of South Florida, Tampa, FL, USA.Department of Pharmaceutical Sciences, College of Pharmacy, University of South Florida Tampa, FL, USA. Byrd Alzheimer's Institute, Tampa, FL, USA.

Pub Type(s)

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

Language

eng

PubMed ID

29439338

Citation

Lang, Brittany, et al. "Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: the Impact of Diverse Cerebrovascular Injury Biomarkers." Journal of Alzheimer's Disease : JAD, vol. 62, no. 1, 2018, pp. 39-60.
Lang B, Kindy MS, Kozel FA, et al. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis. 2018;62(1):39-60.
Lang, B., Kindy, M. S., Kozel, F. A., Schultz, S. K., & Taheri, S. (2018). Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. Journal of Alzheimer's Disease : JAD, 62(1), 39-60. https://doi.org/10.3233/JAD-170733
Lang B, et al. Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: the Impact of Diverse Cerebrovascular Injury Biomarkers. J Alzheimers Dis. 2018;62(1):39-60. PubMed PMID: 29439338.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Multi-Parametric Classification of Vascular Cognitive Impairment and Dementia: The Impact of Diverse Cerebrovascular Injury Biomarkers. AU - Lang,Brittany, AU - Kindy,Mark S, AU - Kozel,F Andrew, AU - Schultz,Susan K, AU - Taheri,Saeid, PY - 2018/2/15/entrez PY - 2018/2/15/pubmed PY - 2019/3/26/medline KW - Biomarkers KW - cerebrovascular diseases KW - clustering KW - neuroimaging KW - vascular cognitive impairment KW - vascular dementia SP - 39 EP - 60 JF - Journal of Alzheimer's disease : JAD JO - J Alzheimers Dis VL - 62 IS - 1 N2 - Vascular cognitive impairment and dementia (VCID) is a diagnostic term applied to cognitively impaired individuals with heterogeneous cerebrovascular conditions affecting large and/or small vessels. Individual biomarkers have been identified as instrumental in relating VCID to specific underlying pathologies to better characterize this syndrome. Emerging research to refine panels of biomarkers will increase classification sensitivity and specificity. Refined VCID clustering based on the severity and pathology of vascular injury will permit the development of optimal prevention and treatment strategies. Here, we review recently reported data concerning the diversity of VCID-related pathology and attempts for VCID clustering based on biomarkers obtained from different sets of measurements. We discuss three major sets of biomarkers: 1) neuroimaging biomarkers, 2) neuropsychological performance measures, and 3) biochemical markers in current VCID clustering. Finally, we highlight the effect of blood-brain barrier health on cerebrovascular disease trajectory. SN - 1875-8908 UR - https://www.unboundmedicine.com/medline/citation/29439338/Multi_Parametric_Classification_of_Vascular_Cognitive_Impairment_and_Dementia:_The_Impact_of_Diverse_Cerebrovascular_Injury_Biomarkers_ L2 - https://content.iospress.com/openurl?genre=article&id=doi:10.3233/JAD-170733 DB - PRIME DP - Unbound Medicine ER -