Literature DB >> 25471188

Adverse vascular risk is related to cognitive decline in older adults.

Angela L Jefferson1, Timothy J Hohman1, Dandan Liu2, Shereen Haj-Hassan1, Katherine A Gifford1, Elleena M Benson1, Jeannine S Skinner3, Zengqi Lu2, Jamie Sparling4, Emily C Sumner1, Susan Bell5, Frederick L Ruberg6.   

Abstract

BACKGROUND: Cardiovascular disease (CVD) and related risk factors are associated with Alzheimer's disease (AD). This association is less well-defined in normal cognition (NC) or prodromal AD (mild cognitive impairment, MCI).
OBJECTIVE: Cross-sectionally and longitudinally relate a vascular risk index to cognitive outcomes among elders free of clinical dementia.
METHODS: 3,117 MCI (74 ± 8 years, 56% female) and 6,603 NC participants (72 ± 8 years, 68% female) were drawn from the National Alzheimer's Coordinating Center. A composite measure of vascular risk was defined using the Framingham Stroke Risk Profile (FSRP) score (i.e., age, systolic blood pressure, anti-hypertensive medication, diabetes, cigarette smoking, CVD history, atrial fibrillation). Ordinary linear regressions and generalized linear mixed models related baseline FSRP to cross-sectional and longitudinal cognitive outcomes, separately for NC and MCI, adjusting for age, gender, race, education, and follow-up time (in longitudinal models).
RESULTS: In NC participants, increasing FSRP was related to worse baseline global cognition, information processing speed, and sequencing abilities (p-values <0.0001) and a worse longitudinal trajectory on all cognitive measures (p-values <0.0001). In MCI, increasing FSRP correlated with worse longitudinal delayed memory (p = 0.004). In secondary models using an age-excluded FSRP score, associations persisted in NC participants for global cognition, naming, information processing speed, and sequencing abilities.
CONCLUSIONS: An adverse vascular risk profile is associated with worse cognitive trajectory, especially global cognition, naming, and information processing speed, among NC elders. Future studies are needed to understand how effective management of CVD and related risk factors can modify cognitive decline to identify the ideal timeframe for primary prevention implementation.

Entities:  

Keywords:  Blood pressure; Framingham Stroke Risk Profile; diabetes mellitus; smoking; stroke

Mesh:

Year:  2015        PMID: 25471188      PMCID: PMC4336578          DOI: 10.3233/JAD-141812

Source DB:  PubMed          Journal:  J Alzheimers Dis        ISSN: 1387-2877            Impact factor:   4.472


  52 in total

1.  Cerebral white matter lesions and cognitive function: the Rotterdam Scan Study.

Authors:  J C de Groot; F E de Leeuw; M Oudkerk; J van Gijn; A Hofman; J Jolles; M M Breteler
Journal:  Ann Neurol       Date:  2000-02       Impact factor: 10.422

2.  Where vascular meets neurodegenerative disease.

Authors:  Julie A Schneider; David A Bennett
Journal:  Stroke       Date:  2010-10       Impact factor: 7.914

3.  Cardiac index is associated with brain aging: the Framingham Heart Study.

Authors:  Angela L Jefferson; Jayandra J Himali; Alexa S Beiser; Rhoda Au; Joseph M Massaro; Sudha Seshadri; Philimon Gona; Carol J Salton; Charles DeCarli; Christopher J O'Donnell; Emelia J Benjamin; Philip A Wolf; Warren J Manning
Journal:  Circulation       Date:  2010-08-02       Impact factor: 29.690

Review 4.  Vascular dementia: the role of cerebral infarcts.

Authors:  D Leys; T Erkinjuntti; D W Desmond; R Schmidt; E Englund; F Pasquier; L Parnetti; J Ghika; R N Kalaria; H Chabriat; P Scheltens; J Bogousslavsky
Journal:  Alzheimer Dis Assoc Disord       Date:  1999 Oct-Dec       Impact factor: 2.703

5.  Differential age effects on cerebral blood flow and BOLD response to encoding: associations with cognition and stroke risk.

Authors:  Katherine J Bangen; Khaled Restom; Thomas T Liu; Amy J Jak; Christina E Wierenga; David P Salmon; Mark W Bondi
Journal:  Neurobiol Aging       Date:  2007-12-21       Impact factor: 4.673

6.  Effect of infarcts on dementia in the Baltimore longitudinal study of aging.

Authors:  Juan C Troncoso; Alan B Zonderman; Susan M Resnick; Barbara Crain; Olga Pletnikova; Richard J O'Brien
Journal:  Ann Neurol       Date:  2008-08       Impact factor: 10.422

7.  Heterogeneity in mild cognitive impairment: differences in neuropsychological profile and associated white matter lesion pathology.

Authors:  Lisa Delano-Wood; Mark W Bondi; Joshua Sacco; Norm Abeles; Amy J Jak; David J Libon; Andrea Bozoki
Journal:  J Int Neuropsychol Soc       Date:  2009-11       Impact factor: 2.892

Review 8.  The Alzheimer's Disease Centers' Uniform Data Set (UDS): the neuropsychologic test battery.

Authors:  Sandra Weintraub; David Salmon; Nathaniel Mercaldo; Steven Ferris; Neill R Graff-Radford; Helena Chui; Jeffrey Cummings; Charles DeCarli; Norman L Foster; Douglas Galasko; Elaine Peskind; Woodrow Dietrich; Duane L Beekly; Walter A Kukull; John C Morris
Journal:  Alzheimer Dis Assoc Disord       Date:  2009 Apr-Jun       Impact factor: 2.703

9.  Individual social class, area-based deprivation, cardiovascular disease risk factors, and mortality: the Renfrew and Paisley Study.

Authors:  G D Smith; C Hart; G Watt; D Hole; V Hawthorne
Journal:  J Epidemiol Community Health       Date:  1998-06       Impact factor: 3.710

10.  The neuropathology of older persons with and without dementia from community versus clinic cohorts.

Authors:  Julie A Schneider; Neelum T Aggarwal; Lisa Barnes; Patricia Boyle; David A Bennett
Journal:  J Alzheimers Dis       Date:  2009       Impact factor: 4.472

View more
  26 in total

1.  Revised Framingham Stroke Risk Profile: Association with Cognitive Status and MRI-Derived Volumetric Measures.

Authors:  Isabelle Pelcher; Christian Puzo; Yorghos Tripodis; Hugo J Aparicio; Eric G Steinberg; Alyssa Phelps; Brett Martin; Joseph N Palmisano; Elizabeth Vassey; Cutter Lindbergh; Ann C McKee; Thor D Stein; Ronald J Killiany; Rhoda Au; Neil W Kowall; Robert A Stern; Jesse Mez; Michael L Alosco
Journal:  J Alzheimers Dis       Date:  2020       Impact factor: 4.472

2.  Genetic resilience to amyloid related cognitive decline.

Authors:  Timothy J Hohman; Logan Dumitrescu; Nancy J Cox; Angela L Jefferson
Journal:  Brain Imaging Behav       Date:  2017-04       Impact factor: 3.978

Review 3.  Diabetes and ageing-induced vascular inflammation.

Authors:  Mariam El Assar; Javier Angulo; Leocadio Rodríguez-Mañas
Journal:  J Physiol       Date:  2015-11-02       Impact factor: 5.182

4.  Late-Life Body Mass Index, Rapid Weight Loss, Apolipoprotein E ε4 and the Risk of Cognitive Decline and Incident Dementia.

Authors:  S P Bell; D Liu; L R Samuels; A S Shah; K A Gifford; T J Hohman; A L Jefferson
Journal:  J Nutr Health Aging       Date:  2017       Impact factor: 4.075

Review 5.  Life and death in the trash heap: The ubiquitin proteasome pathway and UCHL1 in brain aging, neurodegenerative disease and cerebral Ischemia.

Authors:  Steven H Graham; Hao Liu
Journal:  Ageing Res Rev       Date:  2016-10-01       Impact factor: 10.895

6.  Stroke risk interacts with Alzheimer's disease biomarkers on brain aging outcomes.

Authors:  Timothy J Hohman; Lauren R Samuels; Dandan Liu; Katherine A Gifford; Shubhabrata Mukherjee; Elleena M Benson; Ty Abel; Frederick L Ruberg; Angela L Jefferson
Journal:  Neurobiol Aging       Date:  2015-06-06       Impact factor: 4.673

7.  Medial temporal lobe volumes in late-life depression: effects of age and vascular risk factors.

Authors:  Warren D Taylor; Yi Deng; Brian D Boyd; Manus J Donahue; Kimberly Albert; Maureen McHugo; Jason A Gandelman; Bennett A Landman
Journal:  Brain Imaging Behav       Date:  2020-02       Impact factor: 3.978

8.  Role of Vascular Disease in Alzheimer-Like Progressive Cognitive Impairment.

Authors:  Anand Viswanathan; Steven M Greenberg; Philip Scheltens
Journal:  Stroke       Date:  2015-11-24       Impact factor: 7.914

9.  Adverse Vascular Risk Relates to Cerebrospinal Fluid Biomarker Evidence of Axonal Injury in the Presence of Alzheimer's Disease Pathology.

Authors:  Katie E Osborn; Jonathan M Alverio; Logan Dumitrescu; Kimberly R Pechman; Katherine A Gifford; Timothy J Hohman; Kaj Blennow; Henrik Zetterberg; Angela L Jefferson
Journal:  J Alzheimers Dis       Date:  2019       Impact factor: 4.472

10.  Investigating Predictors of Cognitive Decline Using Machine Learning.

Authors:  Ramon Casanova; Santiago Saldana; Michael W Lutz; Brenda L Plassman; Maragatha Kuchibhatla; Kathleen M Hayden
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-03-09       Impact factor: 4.077

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.