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Intracranial internal carotid artery calcification is not predictive of future cognitive decline

BACKGROUND: Intracranial internal carotid artery (ICA) calcification is a common incidental finding in non-contrast head CT. We evaluated the predictive value of ICAC (ICAC) for future risk of cognitive decline and compared the results with conventional imaging biomarkers of dementia. METHODS: In a...

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Autores principales: Rahmani, Farzaneh, Nguyen, Marina, Chen, Charles D., McKay, Nicole, Dincer, Aylin, Joseph-Mathurin, Nelly, Chen, Gengsheng, Liu, Jingxia, Orlowski, Hilary L. P., Morris, John C., Benzinger, Tammie L. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832765/
https://www.ncbi.nlm.nih.gov/pubmed/35148796
http://dx.doi.org/10.1186/s13195-022-00972-2
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author Rahmani, Farzaneh
Nguyen, Marina
Chen, Charles D.
McKay, Nicole
Dincer, Aylin
Joseph-Mathurin, Nelly
Chen, Gengsheng
Liu, Jingxia
Orlowski, Hilary L. P.
Morris, John C.
Benzinger, Tammie L. S.
author_facet Rahmani, Farzaneh
Nguyen, Marina
Chen, Charles D.
McKay, Nicole
Dincer, Aylin
Joseph-Mathurin, Nelly
Chen, Gengsheng
Liu, Jingxia
Orlowski, Hilary L. P.
Morris, John C.
Benzinger, Tammie L. S.
author_sort Rahmani, Farzaneh
collection PubMed
description BACKGROUND: Intracranial internal carotid artery (ICA) calcification is a common incidental finding in non-contrast head CT. We evaluated the predictive value of ICAC (ICAC) for future risk of cognitive decline and compared the results with conventional imaging biomarkers of dementia. METHODS: In a retrospective observational cohort, we included 230 participants with a PET-CT scan within 18 months of a baseline clinical assessment and longitudinal imaging assessments. Intracranial ICAC was quantified on baseline CT scans using the Agatson calcium score, and the association between baseline ICA calcium scores and the risk of conversion from a CDR of zero in baseline to a persistent CDR > 0 at any follow-up visit, as well as longitudinal changes in cognitive scores, were evaluated through linear and mixed regression models. We also evaluated the association of conventional imaging biomarkers of dementia with longitudinal changes in cognitive scores and a potential indirect effect of ICAC on cognition through these biomarkers. RESULTS: Baseline ICA calcium score could not distinguish participants who converted to CDR > 0. ICA calcium score was also unable to predict longitudinal changes in cognitive scores, imaging biomarkers of small vessel disease such as white matter hyperintensities (WMH) volume, or AD such as hippocampal volume, AD cortical signature thickness, and amyloid burden. Severity of intracranial ICAC increased with age and in men. Higher WMH volume and amyloid burden as well as lower hippocampal volume and AD cortical signature thickness at baseline predicted lower Mini-Mental State Exam scores at longitudinal follow-up. Baseline ICAC was indirectly associated with longitudinal cognitive decline, fully mediated through WMH volume. CONCLUSIONS: In elderly and preclinical AD populations, atherosclerosis of large intracranial vessels as demonstrated through ICAC is not directly associated with a future risk of cognitive impairment, or progression of imaging biomarkers of AD or small vessel disease.
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spelling pubmed-88327652022-02-15 Intracranial internal carotid artery calcification is not predictive of future cognitive decline Rahmani, Farzaneh Nguyen, Marina Chen, Charles D. McKay, Nicole Dincer, Aylin Joseph-Mathurin, Nelly Chen, Gengsheng Liu, Jingxia Orlowski, Hilary L. P. Morris, John C. Benzinger, Tammie L. S. Alzheimers Res Ther Research BACKGROUND: Intracranial internal carotid artery (ICA) calcification is a common incidental finding in non-contrast head CT. We evaluated the predictive value of ICAC (ICAC) for future risk of cognitive decline and compared the results with conventional imaging biomarkers of dementia. METHODS: In a retrospective observational cohort, we included 230 participants with a PET-CT scan within 18 months of a baseline clinical assessment and longitudinal imaging assessments. Intracranial ICAC was quantified on baseline CT scans using the Agatson calcium score, and the association between baseline ICA calcium scores and the risk of conversion from a CDR of zero in baseline to a persistent CDR > 0 at any follow-up visit, as well as longitudinal changes in cognitive scores, were evaluated through linear and mixed regression models. We also evaluated the association of conventional imaging biomarkers of dementia with longitudinal changes in cognitive scores and a potential indirect effect of ICAC on cognition through these biomarkers. RESULTS: Baseline ICA calcium score could not distinguish participants who converted to CDR > 0. ICA calcium score was also unable to predict longitudinal changes in cognitive scores, imaging biomarkers of small vessel disease such as white matter hyperintensities (WMH) volume, or AD such as hippocampal volume, AD cortical signature thickness, and amyloid burden. Severity of intracranial ICAC increased with age and in men. Higher WMH volume and amyloid burden as well as lower hippocampal volume and AD cortical signature thickness at baseline predicted lower Mini-Mental State Exam scores at longitudinal follow-up. Baseline ICAC was indirectly associated with longitudinal cognitive decline, fully mediated through WMH volume. CONCLUSIONS: In elderly and preclinical AD populations, atherosclerosis of large intracranial vessels as demonstrated through ICAC is not directly associated with a future risk of cognitive impairment, or progression of imaging biomarkers of AD or small vessel disease. BioMed Central 2022-02-11 /pmc/articles/PMC8832765/ /pubmed/35148796 http://dx.doi.org/10.1186/s13195-022-00972-2 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Rahmani, Farzaneh
Nguyen, Marina
Chen, Charles D.
McKay, Nicole
Dincer, Aylin
Joseph-Mathurin, Nelly
Chen, Gengsheng
Liu, Jingxia
Orlowski, Hilary L. P.
Morris, John C.
Benzinger, Tammie L. S.
Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title_full Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title_fullStr Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title_full_unstemmed Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title_short Intracranial internal carotid artery calcification is not predictive of future cognitive decline
title_sort intracranial internal carotid artery calcification is not predictive of future cognitive decline
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8832765/
https://www.ncbi.nlm.nih.gov/pubmed/35148796
http://dx.doi.org/10.1186/s13195-022-00972-2
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