Transitions in Metabolic Risk and Long‐Term Cardiovascular Health: Coronary Artery Risk Development in Young Adults (CARDIA) Study
Background Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease...
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Published in | Journal of the American Heart Association Vol. 5; no. 10 |
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Main Authors | , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley and Sons Inc
01.10.2016
Wiley |
Subjects | |
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Abstract | Background
Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease.
Methods and Results
In 4420 young adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we defined a “metabolic” risk score based on components of the Third Report of the Adult Treatment Panel's definition of metabolic syndrome. Using latent class trajectory analysis adjusted for sex, race, and time‐dependent body mass index, we identified 6 distinct metabolic trajectories over time, specified by initial and final risk: low‐stable, low‐worsening, high‐stable, intermediate‐worsening, intermediate‐stable, and high‐worsening. Overall, individuals gained weight over time in CARDIA with statistically but not clinically different body mass index trend over time. Dysglycemia and dyslipidemia over time were highest in initially high or worsening trajectory groups. Divergence in metabolic trajectories occurred in early adulthood (before age 40), with 2 of 3 individuals experiencing an increase in metabolic risk over time. Membership in a higher‐risk trajectory (defined as initially high or worsening over time) was associated with greater prevalence and extent of coronary artery calcification, left ventricular mass, and decreased left ventricular strain at year 25. Importantly, despite similar rise in body mass index across trajectories over 25 years, coronary artery calcification and left ventricular structure and function more closely tracked risk factor trajectories.
Conclusions
Transitions in metabolic risk occur early in life. Obesity‐related metabolic dysfunction is related to subclinical cardiovascular phenotypes independent of evolution in body mass index, including coronary artery calcification and myocardial hypertrophy and dysfunction. |
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AbstractList | Background
Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease.
Methods and Results
In 4420 young adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we defined a “metabolic” risk score based on components of the Third Report of the Adult Treatment Panel's definition of metabolic syndrome. Using latent class trajectory analysis adjusted for sex, race, and time‐dependent body mass index, we identified 6 distinct metabolic trajectories over time, specified by initial and final risk: low‐stable, low‐worsening, high‐stable, intermediate‐worsening, intermediate‐stable, and high‐worsening. Overall, individuals gained weight over time in CARDIA with statistically but not clinically different body mass index trend over time. Dysglycemia and dyslipidemia over time were highest in initially high or worsening trajectory groups. Divergence in metabolic trajectories occurred in early adulthood (before age 40), with 2 of 3 individuals experiencing an increase in metabolic risk over time. Membership in a higher‐risk trajectory (defined as initially high or worsening over time) was associated with greater prevalence and extent of coronary artery calcification, left ventricular mass, and decreased left ventricular strain at year 25. Importantly, despite similar rise in body mass index across trajectories over 25 years, coronary artery calcification and left ventricular structure and function more closely tracked risk factor trajectories.
Conclusions
Transitions in metabolic risk occur early in life. Obesity‐related metabolic dysfunction is related to subclinical cardiovascular phenotypes independent of evolution in body mass index, including coronary artery calcification and myocardial hypertrophy and dysfunction. Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease. In 4420 young adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we defined a "metabolic" risk score based on components of the Third Report of the Adult Treatment Panel's definition of metabolic syndrome. Using latent class trajectory analysis adjusted for sex, race, and time-dependent body mass index, we identified 6 distinct metabolic trajectories over time, specified by initial and final risk: low-stable, low-worsening, high-stable, intermediate-worsening, intermediate-stable, and high-worsening. Overall, individuals gained weight over time in CARDIA with statistically but not clinically different body mass index trend over time. Dysglycemia and dyslipidemia over time were highest in initially high or worsening trajectory groups. Divergence in metabolic trajectories occurred in early adulthood (before age 40), with 2 of 3 individuals experiencing an increase in metabolic risk over time. Membership in a higher-risk trajectory (defined as initially high or worsening over time) was associated with greater prevalence and extent of coronary artery calcification, left ventricular mass, and decreased left ventricular strain at year 25. Importantly, despite similar rise in body mass index across trajectories over 25 years, coronary artery calcification and left ventricular structure and function more closely tracked risk factor trajectories. Transitions in metabolic risk occur early in life. Obesity-related metabolic dysfunction is related to subclinical cardiovascular phenotypes independent of evolution in body mass index, including coronary artery calcification and myocardial hypertrophy and dysfunction. BACKGROUNDDespite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life, missing early transitions in metabolic risk that may represent opportunities for averting the development of cardiovascular disease.METHODS AND RESULTSIn 4420 young adults in the Coronary Artery Risk Development in Young Adults (CARDIA) study, we defined a "metabolic" risk score based on components of the Third Report of the Adult Treatment Panel's definition of metabolic syndrome. Using latent class trajectory analysis adjusted for sex, race, and time-dependent body mass index, we identified 6 distinct metabolic trajectories over time, specified by initial and final risk: low-stable, low-worsening, high-stable, intermediate-worsening, intermediate-stable, and high-worsening. Overall, individuals gained weight over time in CARDIA with statistically but not clinically different body mass index trend over time. Dysglycemia and dyslipidemia over time were highest in initially high or worsening trajectory groups. Divergence in metabolic trajectories occurred in early adulthood (before age 40), with 2 of 3 individuals experiencing an increase in metabolic risk over time. Membership in a higher-risk trajectory (defined as initially high or worsening over time) was associated with greater prevalence and extent of coronary artery calcification, left ventricular mass, and decreased left ventricular strain at year 25. Importantly, despite similar rise in body mass index across trajectories over 25 years, coronary artery calcification and left ventricular structure and function more closely tracked risk factor trajectories.CONCLUSIONSTransitions in metabolic risk occur early in life. Obesity-related metabolic dysfunction is related to subclinical cardiovascular phenotypes independent of evolution in body mass index, including coronary artery calcification and myocardial hypertrophy and dysfunction. |
Author | Ferranti, Sarah Venkatesh, Bharath A. Das, Saumya Lima, Joao A. C. Shah, Ravi V. Reis, Jared Camhi, Sarah M. Carnethon, Mercedes R. Carr, J. Jeffrey Terry, James G. Murthy, Venkatesh L. Abbasi, Siddique A. Colangelo, Laura A. Freedman, Jane Siddique, Juned Jerosch‐Herold, Michael Lewis, Cora E. |
AuthorAffiliation | 11 Preventative Cardiology Boston Children's Hospital Boston MA 2 Nuclear Medicine Division Department of Radiology University of Michigan Ann Arbor MI 1 Cardiovascular Medicine Division Department of Medicine University of Michigan Ann Arbor MI 13 Department of Medicine University of Massachusetts at Worcester MA 8 Vanderbilt University Nashville TN 10 Noninvasive Cardiovascular Imaging Section Cardiovascular Division Department of Medicine and Department of Radiology Brigham and Women's Hospital Boston MA 3 Providence VA Medical Center and Cardiovascular Institute Alpert Medical School of Brown University Providence RI 4 Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL 7 Department of Medicine Division of Cardiology Johns Hopkins Medical Institute Johns Hopkins University Baltimore MD 15 Department of Medicine Massachusetts General Hospital Boston MA 6 Division of Cardiovascular Sciences National Heart, Lung, and Blood Institute Bethesda MD 9 Exer |
AuthorAffiliation_xml | – name: 3 Providence VA Medical Center and Cardiovascular Institute Alpert Medical School of Brown University Providence RI – name: 1 Cardiovascular Medicine Division Department of Medicine University of Michigan Ann Arbor MI – name: 6 Division of Cardiovascular Sciences National Heart, Lung, and Blood Institute Bethesda MD – name: 8 Vanderbilt University Nashville TN – name: 7 Department of Medicine Division of Cardiology Johns Hopkins Medical Institute Johns Hopkins University Baltimore MD – name: 13 Department of Medicine University of Massachusetts at Worcester MA – name: 2 Nuclear Medicine Division Department of Radiology University of Michigan Ann Arbor MI – name: 12 Cardiovascular Division Department of Medicine Beth Israel Deaconess Medical Center Boston MA – name: 5 Department of Preventative Medicine Feinberg School of Medicine Northwestern University Chicago IL – name: 11 Preventative Cardiology Boston Children's Hospital Boston MA – name: 9 Exercise and Health Sciences Department College of Nursing and Health Sciences University of Massachusetts, Boston MA – name: 4 Department of Preventive Medicine Feinberg School of Medicine Northwestern University Chicago IL – name: 10 Noninvasive Cardiovascular Imaging Section Cardiovascular Division Department of Medicine and Department of Radiology Brigham and Women's Hospital Boston MA – name: 15 Department of Medicine Massachusetts General Hospital Boston MA – name: 14 Division of Preventative Medicine University of Alabama at Birmingham AL |
Author_xml | – sequence: 1 givenname: Venkatesh L. surname: Murthy fullname: Murthy, Venkatesh L. email: vlmurthy@med.umich.edu organization: University of Michigan – sequence: 2 givenname: Siddique A. surname: Abbasi fullname: Abbasi, Siddique A. organization: Alpert Medical School of Brown University – sequence: 3 givenname: Juned surname: Siddique fullname: Siddique, Juned organization: Northwestern University – sequence: 4 givenname: Laura A. surname: Colangelo fullname: Colangelo, Laura A. organization: Northwestern University – sequence: 5 givenname: Jared surname: Reis fullname: Reis, Jared organization: National Heart, Lung, and Blood Institute – sequence: 6 givenname: Bharath A. surname: Venkatesh fullname: Venkatesh, Bharath A. organization: Johns Hopkins University – sequence: 7 givenname: J. Jeffrey surname: Carr fullname: Carr, J. Jeffrey organization: Vanderbilt University – sequence: 8 givenname: James G. surname: Terry fullname: Terry, James G. organization: Vanderbilt University – sequence: 9 givenname: Sarah M. surname: Camhi fullname: Camhi, Sarah M. organization: University of Massachusetts, Boston – sequence: 10 givenname: Michael surname: Jerosch‐Herold fullname: Jerosch‐Herold, Michael organization: Brigham and Women's Hospital – sequence: 11 givenname: Sarah surname: Ferranti fullname: Ferranti, Sarah organization: Boston Children's Hospital – sequence: 12 givenname: Saumya surname: Das fullname: Das, Saumya organization: Beth Israel Deaconess Medical Center – sequence: 13 givenname: Jane surname: Freedman fullname: Freedman, Jane organization: University of Massachusetts at Worcester – sequence: 14 givenname: Mercedes R. surname: Carnethon fullname: Carnethon, Mercedes R. organization: Northwestern University – sequence: 15 givenname: Cora E. surname: Lewis fullname: Lewis, Cora E. organization: University of Alabama at Birmingham – sequence: 16 givenname: Joao A. C. surname: Lima fullname: Lima, Joao A. C. organization: Johns Hopkins University – sequence: 17 givenname: Ravi V. surname: Shah fullname: Shah, Ravi V. email: rvshah@partners.org organization: Massachusetts General Hospital |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/27737876$$D View this record in MEDLINE/PubMed |
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Keywords | metabolic syndrome epidemiology risk factor obesity |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 Dr Murthy and Dr Shah contributed equally to this work. |
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Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later... Despite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later in life,... BACKGROUNDDespite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later... BackgroundDespite evidence suggesting that early metabolic dysfunction impacts cardiovascular disease risk, current guidelines focus on risk assessments later... |
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SubjectTerms | Adolescent Adult Blood Glucose - metabolism Blood Pressure Body Mass Index Cardiovascular Diseases - diagnostic imaging Cardiovascular Diseases - epidemiology Cholesterol, HDL - blood Cohort Studies Coronary Artery Disease - diagnostic imaging Coronary Artery Disease - epidemiology Diabetes Mellitus - epidemiology Diabetes Mellitus - metabolism Disease Progression Echocardiography epidemiology Female Follow-Up Studies Heart Ventricles - diagnostic imaging Heart Ventricles - pathology Humans Hypertension - epidemiology Logistic Models Longitudinal Studies Male metabolic syndrome Metabolic Syndrome - blood Metabolic Syndrome - epidemiology obesity Organ Size Original Research risk factor Risk Factors Tomography, X-Ray Computed Triglycerides - blood United States - epidemiology Vascular Calcification - diagnostic imaging Vascular Calcification - epidemiology Waist Circumference Young Adult |
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Title | Transitions in Metabolic Risk and Long‐Term Cardiovascular Health: Coronary Artery Risk Development in Young Adults (CARDIA) Study |
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