TY - JOUR
T1 - Cerebral microbleed incidence, relationship to amyloid burden
T2 - The Mayo Clinic Study of Aging
AU - Graff-Radford, Jonathan
AU - Lesnick, Timothy
AU - Rabinstein, Alejandro A.
AU - Gunter, Jeff
AU - Aakre, Jeremiah
AU - Przybelski, Scott A.
AU - Spychalla, Anthony J.
AU - Huston, John
AU - Brown, Robert D.
AU - Mielke, Michelle M.
AU - Lowe, Val J.
AU - Knopman, David S.
AU - Petersen, Ronald C.
AU - Jack, Clifford R.
AU - Vemuri, Prashanthi
AU - Kremers, Walter
AU - Kantarci, Kejal
N1 - Funding Information:
J. Graff-Radford reports grants from National Institute on Aging, receives funding from the Alzheimer's Treatment and Research Institute, and received an honorarium from the American Academy of Neurology for serving as a guest editor of Continuum. T. Lesnick reports no disclosures relevant to the manuscript. A. Rabinstein receives royalties from Elsevier and Oxford University Press and has received research support from DJO Global, Inc. J. Gunter, J. Aakre, S. Przybelski, and A. Spychalla report no disclosures relevant to the manuscript. J. Huston reports patents from the Mayo Foundation for Medical Education and Research; royalties from Resoundant, Inc.; and stock and stock options in Resoundant, Inc. He reports no competing financial interests to the present article. R. Brown reports no disclosures relevant to the manuscript. M. Mielke is a consultant for Eli Lilly and Co. and Lysosomal Therapeutics, Inc. She receives unrestricted research grants from Biogen, Lundbeck, and Roche Holding AG and receives research funding from the National Institute on Aging of the NIH and the US Department of Defense. V. Lowe serves on the scientific advisory boards for Piramal Imaging, Merck Research, Inc., and Bayer Schering Pharma. He reports receiving funding from the NIH. D. Knopman serves on a data safety monitoring board for the Dominantly Inherited Alzheimer Network study. He is an investigator in clinical trials sponsored by Eli Lilly Biogen and the Alzheimer's Treatment and Research Institute and receives research support from NIH. R. Petersen is a consultant for Roche Holding AG, [Q] Biogen, Merck & Co., Eli Lilly and Co., and Genentech. He receives publishing royalties from Mild Cognitive Impairment (Oxford University Press, 2003) and research support from NIH. C. Jack consults for Eli Lilly and serves on an independent data monitoring board for Roche Holding AG. He receives no personal compensation from any commercial entity. He receives research support from the National Institute on Aging of the NIH and the Alexander Family Professor of Alzheimer's Disease Research, Mayo Clinic. P. Vemuri reports grants from the National Institute for Neurologic Disorders and Stroke. W. Kremers reports grants from the National Institute on Aging and research funding from AstraZeneca, Biogen, and Roche. K. Kantarci serves on the data safety monitoring board for Takeda Global Research & Development Center, Inc.; receives research support from Avid Radiopharmaceuticals, Inc., and Eli Lilly and Co.; and receives funding from NIH and the Alzheimer's Drug Discovery Foundation. Go to Neurology.org/N for full disclosures.
Funding Information:
Research reported in this publication was supported by the National Institute on Aging of the NIH under award numbers K76AG057015, R01 AG041851, U01 AG006786, and R01 AG034676 (the Rochester Epidemiology Project); National Institute for Neurologic Disorders and Stroke NS097495; and the GHR Foundation. The funders had no role in the conception or preparation of this manuscript.
Publisher Copyright:
© American Academy of Neurology.
PY - 2020/1/14
Y1 - 2020/1/14
N2 - ObjectiveTo determine the incidence of cerebral microbleeds (CMBs) and the association of amyloid PET burden with incident CMBs.MethodsA total of 651 participants, age ≥50 years (55% male), underwent 3T MRI scans with ≥2 separate T2*-weighted gradient recalled echo sequences from October 2011 to August 2017. Eighty-seven percent underwent 11C Pittsburgh compound B (PiB) PET scans. Age-specific CMB incidence rates were calculated by using the piecewise exponential model. Using structural equation models (SEMs), we assessed the effect of amyloid load and baseline CMBs on future CMBs after considering the direct and indirect age, sex, vascular risk factors, and APOE effects.ResultsParticipants' mean age (SD) was 69.8 (10.0) years at baseline MRI, and 111 participants (17%) had ≥1 baseline CMB. The mean (SD) of the time interval between scans was 2.7 (1.0) years. The overall population incidence rate for CMBs was 3.6/100 person-years and increased with age: from 1.5/100 new CMBs at age 50 to 11.6/100 person-years at age 90. Using the piecewise exponential model regression, the incidence rates increased with age and the presence of baseline CMBs. The SEMs showed that (1) increasing age at MRI or carrying an APOE4 allele was associated with more amyloid at baseline, and higher amyloid, particularly occipital amyloid load, in turn increased the risk of a new lobar CMB; and (2) the presence of CMBs at baseline increased the risk of a lobar CMB and had a larger effect size than amyloid load.ConclusionsAge and APOE4 carrier status act through amyloid load to increase the risk of subsequent lobar CMBs, but the presence of baseline CMBs is the most important risk factor for future CMBs.
AB - ObjectiveTo determine the incidence of cerebral microbleeds (CMBs) and the association of amyloid PET burden with incident CMBs.MethodsA total of 651 participants, age ≥50 years (55% male), underwent 3T MRI scans with ≥2 separate T2*-weighted gradient recalled echo sequences from October 2011 to August 2017. Eighty-seven percent underwent 11C Pittsburgh compound B (PiB) PET scans. Age-specific CMB incidence rates were calculated by using the piecewise exponential model. Using structural equation models (SEMs), we assessed the effect of amyloid load and baseline CMBs on future CMBs after considering the direct and indirect age, sex, vascular risk factors, and APOE effects.ResultsParticipants' mean age (SD) was 69.8 (10.0) years at baseline MRI, and 111 participants (17%) had ≥1 baseline CMB. The mean (SD) of the time interval between scans was 2.7 (1.0) years. The overall population incidence rate for CMBs was 3.6/100 person-years and increased with age: from 1.5/100 new CMBs at age 50 to 11.6/100 person-years at age 90. Using the piecewise exponential model regression, the incidence rates increased with age and the presence of baseline CMBs. The SEMs showed that (1) increasing age at MRI or carrying an APOE4 allele was associated with more amyloid at baseline, and higher amyloid, particularly occipital amyloid load, in turn increased the risk of a new lobar CMB; and (2) the presence of CMBs at baseline increased the risk of a lobar CMB and had a larger effect size than amyloid load.ConclusionsAge and APOE4 carrier status act through amyloid load to increase the risk of subsequent lobar CMBs, but the presence of baseline CMBs is the most important risk factor for future CMBs.
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U2 - 10.1212/WNL.0000000000008735
DO - 10.1212/WNL.0000000000008735
M3 - Article
C2 - 31801832
AN - SCOPUS:85077793318
SN - 0028-3878
VL - 94
SP - E190-E199
JO - Neurology
JF - Neurology
IS - 2
ER -