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Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study

BACKGROUND: Larger within‐patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variabilit...

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Autores principales: Manemann, Sheila M., Bielinski, Suzette J., Moser, Ethan D., St. Sauver, Jennifer L., Takahashi, Paul Y., Roger, Véronique L., Olson, Janet E., Chamberlain, Alanna M., Remaley, Alan T., Decker, Paul A., Killian, Jill M., Larson, Nicholas B.
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/PMC10111433/
https://www.ncbi.nlm.nih.gov/pubmed/36870945
http://dx.doi.org/10.1161/JAHA.122.027639
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author Manemann, Sheila M.
Bielinski, Suzette J.
Moser, Ethan D.
St. Sauver, Jennifer L.
Takahashi, Paul Y.
Roger, Véronique L.
Olson, Janet E.
Chamberlain, Alanna M.
Remaley, Alan T.
Decker, Paul A.
Killian, Jill M.
Larson, Nicholas B.
author_facet Manemann, Sheila M.
Bielinski, Suzette J.
Moser, Ethan D.
St. Sauver, Jennifer L.
Takahashi, Paul Y.
Roger, Véronique L.
Olson, Janet E.
Chamberlain, Alanna M.
Remaley, Alan T.
Decker, Paul A.
Killian, Jill M.
Larson, Nicholas B.
author_sort Manemann, Sheila M.
collection PubMed
description BACKGROUND: Larger within‐patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record–based population cohort and assessed associations with incident CVD. METHODS AND RESULTS: We identified all individuals ≥40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with ≥3 measurements of total cholesterol, low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD‐free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06–1.37]). Results were similar for low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol. CONCLUSIONS: In a large electronic health record–based population cohort, high variability in total cholesterol, high‐density lipoprotein cholesterol, and low‐density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility.
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spelling pubmed-101114332023-04-19 Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study Manemann, Sheila M. Bielinski, Suzette J. Moser, Ethan D. St. Sauver, Jennifer L. Takahashi, Paul Y. Roger, Véronique L. Olson, Janet E. Chamberlain, Alanna M. Remaley, Alan T. Decker, Paul A. Killian, Jill M. Larson, Nicholas B. J Am Heart Assoc Original Research BACKGROUND: Larger within‐patient variability of lipid levels has been associated with increased risk of cardiovascular disease (CVD); however, measures of lipid variability require ≥3 measurements and are not currently used clinically. We investigated the feasibility of calculating lipid variability within a large electronic health record–based population cohort and assessed associations with incident CVD. METHODS AND RESULTS: We identified all individuals ≥40 years of age who resided in Olmsted County, MN, on January 1, 2006 (index date), without prior CVD, defined as myocardial infarction, coronary artery bypass graft surgery, percutaneous coronary intervention, or CVD death. Patients with ≥3 measurements of total cholesterol, low‐density lipoprotein cholesterol, high‐density lipoprotein cholesterol, or triglycerides during the 5 years before the index date were retained. Lipid variability was calculated using variability independent of the mean. Patients were followed through December 31, 2020 for incident CVD. We identified 19 652 individuals (mean age 61 years; 55% female), who were CVD‐free and had variability independent of the mean calculated for at least 1 lipid type. After adjustment, those with highest total cholesterol variability had a 20% increased risk of CVD (Q5 versus Q1 hazard ratio, 1.20 [95% CI, 1.06–1.37]). Results were similar for low‐density lipoprotein cholesterol and high‐density lipoprotein cholesterol. CONCLUSIONS: In a large electronic health record–based population cohort, high variability in total cholesterol, high‐density lipoprotein cholesterol, and low‐density lipoprotein cholesterol was associated with an increased risk of CVD, independent of traditional risk factors, suggesting it may be a possible risk marker and target for intervention. Lipid variability can be calculated in the electronic health record environment, but more research is needed to determine its clinical utility. John Wiley and Sons Inc. 2023-03-04 /pmc/articles/PMC10111433/ /pubmed/36870945 http://dx.doi.org/10.1161/JAHA.122.027639 Text en © 2023 The Authors and Mayo Clinic. Published on behalf of the American Heart Association, Inc., by Wiley. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Original Research
Manemann, Sheila M.
Bielinski, Suzette J.
Moser, Ethan D.
St. Sauver, Jennifer L.
Takahashi, Paul Y.
Roger, Véronique L.
Olson, Janet E.
Chamberlain, Alanna M.
Remaley, Alan T.
Decker, Paul A.
Killian, Jill M.
Larson, Nicholas B.
Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title_full Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title_fullStr Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title_full_unstemmed Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title_short Variability in Lipid Levels and Risk for Cardiovascular Disease: An Electronic Health Record–Based Population Cohort Study
title_sort variability in lipid levels and risk for cardiovascular disease: an electronic health record–based population cohort study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111433/
https://www.ncbi.nlm.nih.gov/pubmed/36870945
http://dx.doi.org/10.1161/JAHA.122.027639
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