Small Dense Low‐Density Lipoprotein Cholesterol Is the Most Atherogenic Lipoprotein Parameter in the Prospective Framingham Offspring Study
Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been asso...
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Published in | Journal of the American Heart Association Vol. 10; no. 5; p. e019140 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
02.03.2021
Wiley |
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Abstract | Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high-density lipoprotein cholesterol, direct LDL-C, sdLDL-C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride-rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL-C, LDL triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL-C. Only sdLDL-C, direct LDL-C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high-density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL-C (hazard ratio, 1.42;
<0.0001) was in the model. These results for sdLDL-C were confirmed by adjusted discordance analysis versus calculated non-high-density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL-C, direct LDL-C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL-C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter. |
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AbstractList | Background Elevated plasma levels of direct low‐density lipoprotein cholesterol (LDL‐C), small dense LDL‐C (sdLDL‐C), low‐density lipoprotein (LDL) triglycerides, triglycerides, triglyceride‐rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high‐density lipoprotein cholesterol, direct LDL‐C, sdLDL‐C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride‐rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL‐C, LDL triglycerides, triglycerides, triglyceride‐rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL‐C. Only sdLDL‐C, direct LDL‐C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high‐density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL‐C (hazard ratio, 1.42; P<0.0001) was in the model. These results for sdLDL‐C were confirmed by adjusted discordance analysis versus calculated non–high‐density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL‐C, direct LDL‐C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL‐C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter. Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high-density lipoprotein cholesterol, direct LDL-C, sdLDL-C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride-rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL-C, LDL triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL-C. Only sdLDL-C, direct LDL-C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high-density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL-C (hazard ratio, 1.42; <0.0001) was in the model. These results for sdLDL-C were confirmed by adjusted discordance analysis versus calculated non-high-density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL-C, direct LDL-C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL-C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter. Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high-density lipoprotein cholesterol, direct LDL-C, sdLDL-C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride-rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL-C, LDL triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL-C. Only sdLDL-C, direct LDL-C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high-density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL-C (hazard ratio, 1.42; P<0.0001) was in the model. These results for sdLDL-C were confirmed by adjusted discordance analysis versus calculated non-high-density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL-C, direct LDL-C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL-C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter.Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL) triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and lipoprotein(a) have all been associated with incident atherosclerotic cardiovascular disease (ASCVD). Our goal was to assess which parameters were most strongly associated with ASCVD risk. Methods and Results Plasma total cholesterol, triglycerides, high-density lipoprotein cholesterol, direct LDL-C, sdLDL-C, LDL triglycerides, remnant lipoprotein particle cholesterol, triglyceride-rich lipoprotein cholesterol, and lipoprotein(a) were measured using standardized automated analysis (coefficients of variation, <5.0%) in samples from 3094 fasting subjects free of ASCVD. Of these subjects, 20.2% developed ASCVD over 16 years. On univariate analysis, all ASCVD risk factors were significantly associated with incident ASCVD, as well as the following specialized lipoprotein parameters: sdLDL-C, LDL triglycerides, triglycerides, triglyceride-rich lipoprotein cholesterol, remnant lipoprotein particle cholesterol, and direct LDL-C. Only sdLDL-C, direct LDL-C, and lipoprotein(a) were significant on multivariate analysis and net reclassification after adjustment for standard risk factors (age, sex, hypertension, diabetes mellitus, smoking, total cholesterol, and high-density lipoprotein cholesterol). Using the pooled cohort equation, many specialized lipoprotein parameters individually added significant information, but no parameter added significant information once sdLDL-C (hazard ratio, 1.42; P<0.0001) was in the model. These results for sdLDL-C were confirmed by adjusted discordance analysis versus calculated non-high-density lipoprotein cholesterol, in contrast to LDL triglycerides. Conclusions sdLDL-C, direct LDL-C, and lipoprotein(a) all contributed significantly to ASCVD risk on multivariate analysis, but no parameter added significant risk information to the pooled cohort equation once sdLDL-C was in the model. Our data indicate that small dense LDL is the most atherogenic lipoprotein parameter. |
Author | Ikezaki, Hiroaki Cupples, L. Adrienne Liu, Ching‐Ti Asztalos, Bela F. Lim, Elise Schaefer, Ernst J. |
AuthorAffiliation | 3 Friedman School of Nutrition Science and Policy at Tufts University Boston MA 6 FHS (Framingham Heart Study) National Heart, Lung, and Blood Institute Framingham MA 2 Tufts University School of Medicine Boston MA 1 Cardiovascular Nutrition Laboratory Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA 5 Department of Biostatistics Boston University School of Public Health Boston MA 4 Department of General Internal Medicine Kyushu University Hospital Fukuoka Japan |
AuthorAffiliation_xml | – name: 1 Cardiovascular Nutrition Laboratory Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA – name: 6 FHS (Framingham Heart Study) National Heart, Lung, and Blood Institute Framingham MA – name: 3 Friedman School of Nutrition Science and Policy at Tufts University Boston MA – name: 4 Department of General Internal Medicine Kyushu University Hospital Fukuoka Japan – name: 2 Tufts University School of Medicine Boston MA – name: 5 Department of Biostatistics Boston University School of Public Health Boston MA |
Author_xml | – sequence: 1 givenname: Hiroaki orcidid: 0000-0002-6677-6341 surname: Ikezaki fullname: Ikezaki, Hiroaki organization: Cardiovascular Nutrition Laboratory Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA, Tufts University School of Medicine Boston MA, Friedman School of Nutrition Science and Policy at Tufts University Boston MA, Department of General Internal Medicine Kyushu University Hospital Fukuoka Japan – sequence: 2 givenname: Elise orcidid: 0000-0001-8967-8464 surname: Lim fullname: Lim, Elise organization: Department of Biostatistics Boston University School of Public Health Boston MA, FHS (Framingham Heart Study)National Heart, Lung, and Blood Institute Framingham MA – sequence: 3 givenname: L. Adrienne orcidid: 0000-0003-0273-7965 surname: Cupples fullname: Cupples, L. Adrienne organization: Department of Biostatistics Boston University School of Public Health Boston MA, FHS (Framingham Heart Study)National Heart, Lung, and Blood Institute Framingham MA – sequence: 4 givenname: Ching‐Ti orcidid: 0000-0002-0703-0742 surname: Liu fullname: Liu, Ching‐Ti organization: Department of Biostatistics Boston University School of Public Health Boston MA, FHS (Framingham Heart Study)National Heart, Lung, and Blood Institute Framingham MA – sequence: 5 givenname: Bela F. surname: Asztalos fullname: Asztalos, Bela F. organization: Cardiovascular Nutrition Laboratory Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA, Tufts University School of Medicine Boston MA, Friedman School of Nutrition Science and Policy at Tufts University Boston MA – sequence: 6 givenname: Ernst J. orcidid: 0000-0002-7158-3085 surname: Schaefer fullname: Schaefer, Ernst J. organization: Cardiovascular Nutrition Laboratory Jean Mayer United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University Boston MA, Tufts University School of Medicine Boston MA, Friedman School of Nutrition Science and Policy at Tufts University Boston MA |
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Keywords | pooled cohort equations small dense low‐density lipoprotein cholesterol atherosclerotic cardiovascular disease |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 ObjectType-Undefined-3 This research was presented in part at the American Heart Association Scientific Sessions, November 16, 2019, in Philadelphia, PA. For Sources of Funding and Disclosures, see page 11. Supplementary Material for this article is available at https://www.ahajournals.org/doi/suppl/10.1161/JAHA.120.019140 |
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Snippet | Background Elevated plasma levels of direct low-density lipoprotein cholesterol (LDL-C), small dense LDL-C (sdLDL-C), low-density lipoprotein (LDL)... Background Elevated plasma levels of direct low‐density lipoprotein cholesterol (LDL‐C), small dense LDL‐C (sdLDL‐C), low‐density lipoprotein (LDL)... |
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SubjectTerms | atherosclerotic cardiovascular disease Original Research pooled cohort equations small dense low‐density lipoprotein cholesterol |
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Title | Small Dense Low‐Density Lipoprotein Cholesterol Is the Most Atherogenic Lipoprotein Parameter in the Prospective Framingham Offspring Study |
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