ArticleJournal of electrocardiology
A novel electrocardiogram-based model for prediction of dementia-The Atherosclerosis Risk in Communities (ARIC) study.
Deling Chen, Yuchen Yao, Ethan D Moser, Wendy Wang, Elsayed Z Soliman, Thomas Mosley, Wei Pan
Abstract read
In one paragraphArticle in Journal of electrocardiology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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2 · The registryThe trial behind it
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3 · Its place in the literatureWho cites it
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4 · The recordCorrections and comments
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5 · Who and what moneyAuthors and funding
7 authors.
Deling ChenDivision of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, USA.
Yuchen YaoDivision of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, USA; School of Statistics, College of Liberal Arts, University of Minnesota, Minneapolis, USA.
Ethan D MoserDepartment of Medicine, University of Minnesota Medical School, Minneapolis, USA.
Wendy WangDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, USA.
Elsayed Z SolimanEpidemiological Cardiology Research Center, Department of Cardiovascular Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.
Thomas MosleyMIND Center, University of Mississippi Medical Center, Jackson, USA.
Wei PanDivision of Biostatistics and Health Data Science, University of Minnesota School of Public Health, Minneapolis, USA. Electronic address: panxx014@umn.edu.
Funding
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7MARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9MCardiovascular Disease Epidemiology &Prevention TrngT32HL007779 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI PAMELA L. Lutsey, JAMES S PANKOW · 1994 to 2026
$9.3MARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5MARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4MARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2022 to 2025
$5.1MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00005 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI WAGENKNECHT, LYNNE E · 2022 to 2025
$5.0MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00004 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI WINDHAM, BEVERLY GWEN · 2022 to 2025
$4.8MTHE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00002 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI CORESH, JOSEF · 2022 to 2025
$4.7MCausal and integrative deep learning for Alzheimer's disease geneticsU01AG073079 · NIA · UNIVERSITY OF MINNESOTA · PI PAN, WEI · 2021 to 2025
$3.5MNHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS T32 HL007779NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS R01 AG065636NIA NIH HHS RF1 AG067924NIA NIH HHS U01 AG073079
6 · The paper itselfAbstract
aimCreate an ECG-based model to predict dementia and compare its performance with the existing Cardiovascular Risk Factors, Aging, and Dementia (CAIDE) model. METHODS AND
resultsParticipants without prevalent dementia in the Atherosclerosis Risk in Communities study were studied. Visit 4 (V4) (1996-98, mean age, 62 years) and V5 (2011-13, mean age, 75 years) were used as baselines. Incident dementia cases were adjudicated through 2019. We created parsimonious ECG models by using Cox regression with a backward selection method. C-statistic (95 % CI) of the ECG-based model (two or three ECG variables and age) was higher than the CAIDE model (seven variables) at V4 (0.72 [0.71-0.74] vs. 0.67 [0.66-0.68]) and V5 (0.70 [0.68-0.72] vs. 0.64 [0.62-0.66]). The ECG-based model was well calibrated, but the CAIDE model was poorly calibrated at V4 (P < 0.001).
conclusionFor middle-aged and older adults, a novel ECG-based model has good discrimination that is superior to the CAIDE model in predicting dementia. Since ECG variables are readily obtainable, the ECG-based model will be easy to adopt clinically.
Indexed as
AtherosclerosisDementiaElectrocardiographyAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRisk AssessmentRisk FactorsUnited StatesDementiaElectrocardiogramRisk prediction
Identifiers
PMID39612620
PMCPMC11717592
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