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Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline

OBJECTIVE: To examine interactions between Neuropsychiatric symptoms (NPS) with Pittsburgh Compound B (PiB) and fluorodeoxyglucose positron emission tomography (FDG‐PET) in predicting cognitive trajectories. METHODS: We conducted a longitudinal study in the setting of the population‐based Mayo Clini...

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Autores principales: Pink, Anna, Krell‐Roesch, Janina, Syrjanen, Jeremy A., Christenson, Luke R., Lowe, Val J., Vemuri, Prashanthi, Fields, Julie A., Stokin, Gorazd B., Kremers, Walter K., Scharf, Eugene L., Jack, Clifford R., Knopman, David S., Petersen, Ronald C., Vassilaki, Maria, Geda, Yonas E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997077/
https://www.ncbi.nlm.nih.gov/pubmed/36909142
http://dx.doi.org/10.1176/appi.prcp.20220036
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author Pink, Anna
Krell‐Roesch, Janina
Syrjanen, Jeremy A.
Christenson, Luke R.
Lowe, Val J.
Vemuri, Prashanthi
Fields, Julie A.
Stokin, Gorazd B.
Kremers, Walter K.
Scharf, Eugene L.
Jack, Clifford R.
Knopman, David S.
Petersen, Ronald C.
Vassilaki, Maria
Geda, Yonas E.
author_facet Pink, Anna
Krell‐Roesch, Janina
Syrjanen, Jeremy A.
Christenson, Luke R.
Lowe, Val J.
Vemuri, Prashanthi
Fields, Julie A.
Stokin, Gorazd B.
Kremers, Walter K.
Scharf, Eugene L.
Jack, Clifford R.
Knopman, David S.
Petersen, Ronald C.
Vassilaki, Maria
Geda, Yonas E.
author_sort Pink, Anna
collection PubMed
description OBJECTIVE: To examine interactions between Neuropsychiatric symptoms (NPS) with Pittsburgh Compound B (PiB) and fluorodeoxyglucose positron emission tomography (FDG‐PET) in predicting cognitive trajectories. METHODS: We conducted a longitudinal study in the setting of the population‐based Mayo Clinic Study of Aging in Olmsted County, MN, involving 1581 cognitively unimpaired (CU) persons aged ≥50 years (median age 71.83 years, 54.0% males, 27.5% APOE ɛ4 carriers). NPS at baseline were assessed using the Neuropsychiatric Inventory Questionnaire (NPI‐Q). Brain glucose hypometabolism was defined as a SUVR ≤ 1.47 (measured by FDG‐PET) in regions typically affected in Alzheimer's disease. Abnormal cortical amyloid deposition was measured using PiB‐PET (SUVR ≥ 1.48). Neuropsychological testing was done approximately every 15 months, and we calculated global and domain‐specific (memory, language, attention, and visuospatial skills) cognitive z‐scores. We ran linear mixed‐effect models to examine the associations and interactions between NPS at baseline and z‐scored PiB‐ and FDG‐PET SUVRs in predicting cognitive z‐scores adjusted for age, sex, education, and previous cognitive testing. RESULTS: Individuals at the average PiB and without NPS at baseline declined over time on cognitive z‐scores. Those with increased PiB at baseline declined faster (two‐way interaction), and those with increased PiB and NPS declined even faster (three‐way interaction). We observed interactions between time, increased PiB and anxiety or irritability indicating accelerated decline on global z‐scores, and between time, increased PiB and several NPS (e.g., agitation) showing faster domain‐specific decline, especially on the attention domain. CONCLUSIONS: NPS and increased brain amyloid deposition synergistically interact in accelerating global and domain‐specific cognitive decline among CU persons at baseline.
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spelling pubmed-99970772023-03-10 Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline Pink, Anna Krell‐Roesch, Janina Syrjanen, Jeremy A. Christenson, Luke R. Lowe, Val J. Vemuri, Prashanthi Fields, Julie A. Stokin, Gorazd B. Kremers, Walter K. Scharf, Eugene L. Jack, Clifford R. Knopman, David S. Petersen, Ronald C. Vassilaki, Maria Geda, Yonas E. Psychiatr Res Clin Pract Research Articles OBJECTIVE: To examine interactions between Neuropsychiatric symptoms (NPS) with Pittsburgh Compound B (PiB) and fluorodeoxyglucose positron emission tomography (FDG‐PET) in predicting cognitive trajectories. METHODS: We conducted a longitudinal study in the setting of the population‐based Mayo Clinic Study of Aging in Olmsted County, MN, involving 1581 cognitively unimpaired (CU) persons aged ≥50 years (median age 71.83 years, 54.0% males, 27.5% APOE ɛ4 carriers). NPS at baseline were assessed using the Neuropsychiatric Inventory Questionnaire (NPI‐Q). Brain glucose hypometabolism was defined as a SUVR ≤ 1.47 (measured by FDG‐PET) in regions typically affected in Alzheimer's disease. Abnormal cortical amyloid deposition was measured using PiB‐PET (SUVR ≥ 1.48). Neuropsychological testing was done approximately every 15 months, and we calculated global and domain‐specific (memory, language, attention, and visuospatial skills) cognitive z‐scores. We ran linear mixed‐effect models to examine the associations and interactions between NPS at baseline and z‐scored PiB‐ and FDG‐PET SUVRs in predicting cognitive z‐scores adjusted for age, sex, education, and previous cognitive testing. RESULTS: Individuals at the average PiB and without NPS at baseline declined over time on cognitive z‐scores. Those with increased PiB at baseline declined faster (two‐way interaction), and those with increased PiB and NPS declined even faster (three‐way interaction). We observed interactions between time, increased PiB and anxiety or irritability indicating accelerated decline on global z‐scores, and between time, increased PiB and several NPS (e.g., agitation) showing faster domain‐specific decline, especially on the attention domain. CONCLUSIONS: NPS and increased brain amyloid deposition synergistically interact in accelerating global and domain‐specific cognitive decline among CU persons at baseline. John Wiley and Sons Inc. 2023-01-20 /pmc/articles/PMC9997077/ /pubmed/36909142 http://dx.doi.org/10.1176/appi.prcp.20220036 Text en © 2023 The Authors. Psychiatric Research and Clinical Practice published by Wiley Periodicals LLC on behalf of American Psychiatric Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ (https://creativecommons.org/licenses/by-nc-nd/4.0/) License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Research Articles
Pink, Anna
Krell‐Roesch, Janina
Syrjanen, Jeremy A.
Christenson, Luke R.
Lowe, Val J.
Vemuri, Prashanthi
Fields, Julie A.
Stokin, Gorazd B.
Kremers, Walter K.
Scharf, Eugene L.
Jack, Clifford R.
Knopman, David S.
Petersen, Ronald C.
Vassilaki, Maria
Geda, Yonas E.
Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title_full Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title_fullStr Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title_full_unstemmed Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title_short Interactions Between Neuropsychiatric Symptoms and Alzheimer's Disease Neuroimaging Biomarkers in Predicting Longitudinal Cognitive Decline
title_sort interactions between neuropsychiatric symptoms and alzheimer's disease neuroimaging biomarkers in predicting longitudinal cognitive decline
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9997077/
https://www.ncbi.nlm.nih.gov/pubmed/36909142
http://dx.doi.org/10.1176/appi.prcp.20220036
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