Predicting MCI outcome with clinically available MRI and CSF biomarkers
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TLDR
In this paper, the ability of clinically available volumetric MRI (vMRI) and CSF biomarkers, alone or in combination with a quantitative learning measure, to predict conversion to Alzheimer disease (AD) in patients with mild cognitive impairment (MCI).Abstract:
Objective: To determine the ability of clinically available volumetric MRI (vMRI) and CSF biomarkers, alone or in combination with a quantitative learning measure, to predict conversion to Alzheimer disease (AD) in patients with mild cognitive impairment (MCI). Methods: We stratified 192 MCI participants into positive and negative risk groups on the basis of 1) degree of learning impairment on the Rey Auditory Verbal Learning Test; 2) medial temporal atrophy, quantified from Food and Drug Administration–approved software for automated vMRI analysis; and 3) CSF biomarker levels. We also stratified participants based on combinations of risk factors. We computed Cox proportional hazards models, controlling for age, to assess 3-year risk of converting to AD as a function of risk group and used Kaplan-Meier analyses to determine median survival times. Results: When risk factors were examined separately, individuals testing positive showed significantly higher risk of converting to AD than individuals testing negative (hazard ratios [HR] 1.8– 4.1). The joint presence of any 2 risk factors substantially increased risk, with the combination of greater learning impairment and increased atrophy associated with highest risk (HR 29.0): 85% of patients with both risk factors converted to AD within 3 years, vs 5% of those with neither. The presence of medial temporal atrophy was associated with shortest median dementia-free survival (15 months). Conclusions: Incorporating quantitative assessment of learning ability along with vMRI or CSF biomarkers in the clinical workup of MCI can provide critical information on risk of imminent conversion to AD. Neurology ® 2011;77:1619–1628read more
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References
More filters
Journal ArticleDOI
The diagnosis of dementia due to Alzheimer’s disease: Recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer's disease
Guy M. McKhann,Guy M. McKhann,David S. Knopman,Howard Chertkow,Bradley T. Hyman,Clifford R. Jack,Claudia H. Kawas,William E. Klunk,Walter J. Koroshetz,Jennifer J. Manly,Richard Mayeux,Richard C. Mohs,John C. Morris,Martin N. Rossor,Philip Scheltens,Maria C. Carrillo,Bill Thies,Sandra Weintraub,Creighton H. Phelps +18 more
TL;DR: The workgroup sought to ensure that the revised criteria would be flexible enough to be used by both general healthcare providers without access to neuropsychological testing, advanced imaging, and cerebrospinal fluid measures, and specialized investigators involved in research or in clinical trial studies who would have these tools available.
Journal ArticleDOI
Toward defining the preclinical stages of Alzheimer's disease: Recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease
Reisa A. Sperling,Paul S. Aisen,Laurel A. Beckett,David A. Bennett,Suzanne Craft,Anne M. Fagan,Takeshi Iwatsubo,Clifford R. Jack,Jeffrey Kaye,Thomas J. Montine,Denise C. Park,Eric M. Reiman,Christopher C. Rowe,Eric Siemers,Yaakov Stern,Kristine Yaffe,Maria C. Carrillo,Bill Thies,Marcelle Morrison-Bogorad,Molly V. Wagster,Creighton H. Phelps +20 more
TL;DR: A conceptual framework and operational research criteria are proposed, based on the prevailing scientific evidence to date, to test and refine these models with longitudinal clinical research studies and it is hoped that these recommendations will provide a common rubric to advance the study of preclinical AD.
Journal ArticleDOI
Hypothetical model of dynamic biomarkers of the Alzheimer's pathological cascade
Clifford R. Jack,David S. Knopman,William J. Jagust,Leslie M. Shaw,Paul S. Aisen,Michael W. Weiner,Ronald C. Petersen,John Q. Trojanowski +7 more
TL;DR: This work proposes a model that relates disease stage to AD biomarkers in which Abeta biomarkers become abnormal first, before neurodegenerative biomarkers and cognitive symptoms, and neurodegnerative biomarker become abnormal later, and correlate with clinical symptom severity.
Journal ArticleDOI
The Alzheimer's Disease Neuroimaging Initiative (ADNI): MRI methods.
Clifford R. Jack,Matt A. Bernstein,Nick C. Fox,Paul M. Thompson,Gene E. Alexander,Danielle J Harvey,Bret J. Borowski,Paula J. Britson,Jennifer L. Whitwell,Chadwick P. Ward,Anders M. Dale,Joel P. Felmlee,Jeffrey L. Gunter,Derek L. G. Hill,Ronald J. Killiany,Norbert Schuff,Sabrina Fox-Bosetti,Chen Lin,Colin Studholme,Charles DeCarli,Gunnar Krueger,Heidi A. Ward,Gregory J. Metzger,Katherine T. Scott,Richard Philip Mallozzi,Daniel J. Blezek,Joshua Levy,Josef Phillip Debbins,Adam S. Fleisher,Marilyn S. Albert,Robert C. Green,George Bartzokis,Gary H. Glover,John P. Mugler,Michael W. Weiner +34 more
TL;DR: The approach taken in ADNI to standardization across sites and platforms of the MRI protocol, postacquisition corrections, and phantom‐based monitoring of all scanners could be used as a model for other multisite trials.
Journal ArticleDOI
Cerebrospinal fluid biomarker signature in Alzheimer's disease neuroimaging initiative subjects.
Leslie M. Shaw,Hugo Vanderstichele,Malgorzata Knapik-Czajka,Christopher M. Clark,Paul S. Aisen,Ronald C. Petersen,Kaj Blennow,Holly Soares,Adam J. Simon,Piotr Lewczuk,Robert A. Dean,Eric Siemers,William Z. Potter,Virginia M.-Y. Lee,John Q. Trojanowski +14 more
TL;DR: Develop a cerebrospinal fluid biomarker signature for mild Alzheimer's disease (AD) in Alzheimer's Disease Neuroimaging Initiative (ADNI) subjects.
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