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Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank

BACKGROUND: Total cholesterol and high-density lipoprotein cholesterol (HDL-C) measurements are central to cardiovascular disease (CVD) risk assessment, but there is continuing debate around the utility of other lipids for risk prediction. METHODS: Participants from UK Biobank without baseline CVD a...

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Autores principales: Welsh, Claire, Celis-Morales, Carlos A., Brown, Rosemary, Mackay, Daniel F., Lewsey, James, Mark, Patrick B., Gray, Stuart R., Ferguson, Lyn D., Anderson, Jana J., Lyall, Donald M., Cleland, John G., Jhund, Pardeep S., Gill, Jason M.R., Pell, Jill P., Sattar, Naveed, Welsh, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693929/
https://www.ncbi.nlm.nih.gov/pubmed/31216866
http://dx.doi.org/10.1161/CIRCULATIONAHA.119.041149
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author Welsh, Claire
Celis-Morales, Carlos A.
Brown, Rosemary
Mackay, Daniel F.
Lewsey, James
Mark, Patrick B.
Gray, Stuart R.
Ferguson, Lyn D.
Anderson, Jana J.
Lyall, Donald M.
Cleland, John G.
Jhund, Pardeep S.
Gill, Jason M.R.
Pell, Jill P.
Sattar, Naveed
Welsh, Paul
author_facet Welsh, Claire
Celis-Morales, Carlos A.
Brown, Rosemary
Mackay, Daniel F.
Lewsey, James
Mark, Patrick B.
Gray, Stuart R.
Ferguson, Lyn D.
Anderson, Jana J.
Lyall, Donald M.
Cleland, John G.
Jhund, Pardeep S.
Gill, Jason M.R.
Pell, Jill P.
Sattar, Naveed
Welsh, Paul
author_sort Welsh, Claire
collection PubMed
description BACKGROUND: Total cholesterol and high-density lipoprotein cholesterol (HDL-C) measurements are central to cardiovascular disease (CVD) risk assessment, but there is continuing debate around the utility of other lipids for risk prediction. METHODS: Participants from UK Biobank without baseline CVD and not taking statins, with relevant lipid measurements (n=346 686), were included in the primary analysis. An incident fatal or nonfatal CVD event occurred in 6216 participants (1656 fatal) over a median of 8.9 years. Associations of nonfasting lipid measurements (total cholesterol, HDL-C, non–HDL-C, direct and calculated low-density lipoprotein cholesterol [LDL-C], and apolipoproteins [Apo] A1 and B) with CVD were compared using Cox models adjusting for classical risk factors, and predictive utility was determined by the C-index and net reclassification index. Prediction was also tested in 68 649 participants taking a statin with or without baseline CVD (3515 CVD events). RESULTS: ApoB, LDL-C, and non–HDL-C were highly correlated (r>0.90), while HDL-C was strongly correlated with ApoA1 (r=0.92). After adjustment for classical risk factors, 1 SD increase in ApoB, direct LDL-C, and non–HDL-C had similar associations with composite fatal/nonfatal CVD events (hazard ratio, 1.23, 1.20, 1.21, respectively). Associations for 1 SD increase in HDL-C and ApoA1 were also similar (hazard ratios, 0.81 [both]). Adding either total cholesterol and HDL-C, or ApoB and ApoA, to a CVD risk prediction model (C-index, 0.7378) yielded similar improvement in discrimination (C-index change, 0.0084; 95% CI, 0.0065, 0.0104, and 0.0089; 95% CI, 0.0069, 0.0109, respectively). Once total and HDL-C were in the model, no further substantive improvement was achieved with the addition of ApoB (C-index change, 0.0004; 95% CI, 0.0000, 0.0008) or any measure of LDL-C. Results for predictive utility were similar for a fatal CVD outcome, and in a discordance analysis. In participants taking a statin, classical risk factors (C-index, 0.7118) were improved by non–HDL-C (C-index change, 0.0030; 95% CI, 0.0012, 0.0048) or ApoB (C-index change, 0.0030; 95% CI, 0.0011, 0.0048). However, adding ApoB or LDL-C to a model already containing non–HDL-C did not further improve discrimination. CONCLUSIONS: Measurement of total cholesterol and HDL-C in the nonfasted state is sufficient to capture the lipid-associated risk in CVD prediction, with no meaningful improvement from addition of apolipoproteins, direct or calculated LDL-C.
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spelling pubmed-66939292019-09-17 Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank Welsh, Claire Celis-Morales, Carlos A. Brown, Rosemary Mackay, Daniel F. Lewsey, James Mark, Patrick B. Gray, Stuart R. Ferguson, Lyn D. Anderson, Jana J. Lyall, Donald M. Cleland, John G. Jhund, Pardeep S. Gill, Jason M.R. Pell, Jill P. Sattar, Naveed Welsh, Paul Circulation Original Research Articles BACKGROUND: Total cholesterol and high-density lipoprotein cholesterol (HDL-C) measurements are central to cardiovascular disease (CVD) risk assessment, but there is continuing debate around the utility of other lipids for risk prediction. METHODS: Participants from UK Biobank without baseline CVD and not taking statins, with relevant lipid measurements (n=346 686), were included in the primary analysis. An incident fatal or nonfatal CVD event occurred in 6216 participants (1656 fatal) over a median of 8.9 years. Associations of nonfasting lipid measurements (total cholesterol, HDL-C, non–HDL-C, direct and calculated low-density lipoprotein cholesterol [LDL-C], and apolipoproteins [Apo] A1 and B) with CVD were compared using Cox models adjusting for classical risk factors, and predictive utility was determined by the C-index and net reclassification index. Prediction was also tested in 68 649 participants taking a statin with or without baseline CVD (3515 CVD events). RESULTS: ApoB, LDL-C, and non–HDL-C were highly correlated (r>0.90), while HDL-C was strongly correlated with ApoA1 (r=0.92). After adjustment for classical risk factors, 1 SD increase in ApoB, direct LDL-C, and non–HDL-C had similar associations with composite fatal/nonfatal CVD events (hazard ratio, 1.23, 1.20, 1.21, respectively). Associations for 1 SD increase in HDL-C and ApoA1 were also similar (hazard ratios, 0.81 [both]). Adding either total cholesterol and HDL-C, or ApoB and ApoA, to a CVD risk prediction model (C-index, 0.7378) yielded similar improvement in discrimination (C-index change, 0.0084; 95% CI, 0.0065, 0.0104, and 0.0089; 95% CI, 0.0069, 0.0109, respectively). Once total and HDL-C were in the model, no further substantive improvement was achieved with the addition of ApoB (C-index change, 0.0004; 95% CI, 0.0000, 0.0008) or any measure of LDL-C. Results for predictive utility were similar for a fatal CVD outcome, and in a discordance analysis. In participants taking a statin, classical risk factors (C-index, 0.7118) were improved by non–HDL-C (C-index change, 0.0030; 95% CI, 0.0012, 0.0048) or ApoB (C-index change, 0.0030; 95% CI, 0.0011, 0.0048). However, adding ApoB or LDL-C to a model already containing non–HDL-C did not further improve discrimination. CONCLUSIONS: Measurement of total cholesterol and HDL-C in the nonfasted state is sufficient to capture the lipid-associated risk in CVD prediction, with no meaningful improvement from addition of apolipoproteins, direct or calculated LDL-C. Lippincott Williams & Wilkins 2019-08-13 2019-06-20 /pmc/articles/PMC6693929/ /pubmed/31216866 http://dx.doi.org/10.1161/CIRCULATIONAHA.119.041149 Text en © 2019 The Authors. Circulation is published on behalf of the American Heart Association, Inc., by Wolters Kluwer Health, Inc. This is an open access article under the terms of the Creative Commons Attribution (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution, and reproduction in any medium, provided that the original work is properly cited.
spellingShingle Original Research Articles
Welsh, Claire
Celis-Morales, Carlos A.
Brown, Rosemary
Mackay, Daniel F.
Lewsey, James
Mark, Patrick B.
Gray, Stuart R.
Ferguson, Lyn D.
Anderson, Jana J.
Lyall, Donald M.
Cleland, John G.
Jhund, Pardeep S.
Gill, Jason M.R.
Pell, Jill P.
Sattar, Naveed
Welsh, Paul
Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title_full Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title_fullStr Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title_full_unstemmed Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title_short Comparison of Conventional Lipoprotein Tests and Apolipoproteins in the Prediction of Cardiovascular Disease: Data From UK Biobank
title_sort comparison of conventional lipoprotein tests and apolipoproteins in the prediction of cardiovascular disease: data from uk biobank
topic Original Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6693929/
https://www.ncbi.nlm.nih.gov/pubmed/31216866
http://dx.doi.org/10.1161/CIRCULATIONAHA.119.041149
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