Literature DB >> 27230043

Beyond Coronary Calcification, Family History, and C-Reactive Protein: Cholesterol Efflux Capacity and Cardiovascular Risk Prediction.

Purav Mody1, Parag H Joshi2, Amit Khera1, Colby R Ayers3, Anand Rohatgi4.   

Abstract

BACKGROUND: Cholesterol efflux capacity (CEC), which is a key step in the reverse cholesterol transport pathway, is independently associated with atherosclerotic cardiovascular disease (ASCVD). However, whether it predicts ASCVD beyond validated novel risk markers is unknown.
OBJECTIVES: This study assessed if CEC improved ACSVD risk prediction beyond using coronary artery calcium (CAC), family history (FH), and high-sensitivity C-reactive protein (hs-CRP).
METHODS: CEC, CAC, self-reported FH, and hs-CRP were assessed among participants without baseline ASCVD who were enrolled in the Dallas Heart Study (DHS). ASCVD was defined as a first nonfatal myocardial infarction (MI) or stroke, coronary revascularization, or cardiovascular death, assessed over a median 9.4 years. Risk prediction was assessed using various modeling techniques and improvements in the c-statistic, the integrated discrimination index (IDI), and the net reclassification index (NRI).
RESULTS: The mean age of the population (N = 1,972) was 45 years, 52% had CAC (>0), 31% had FH, and 58% had elevated hs-CRP (≥2 mg/l). CEC greater than the median was associated with a 50% reduced incidence of ASCVD in those with CAC (5.4% vs. 10.5%; p = 0.003), FH (5.8% vs. 10%; p = 0.05), and elevated hs-CRP (3.8% vs. 7.9%; p = 0.004). CEC improved all metrics of discrimination and reclassification when added to CAC (c-statistic, p = 0.004; IDI, p = 0.02; NRI: 0.38; 95% confidence interval [CI]: 0.13 to 0.53), FH (c-statistic, p = 0.006; IDI, p = 0.008; NRI: 0.38; 95% CI: 0.13 to 0.55), or elevated hs-CRP (c-statistic p = 0.008; IDI p = 0.02; NRI: 0.36; 95% CI 0.12 to 0.52).
CONCLUSIONS: CEC improves ASCVD risk prediction beyond using CAC, FH, and hs-CRP and warrants consideration as a novel ASCVD risk marker.
Copyright © 2016 American College of Cardiology Foundation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cholesterol efflux capacity; coronary artery calcium; family history; high-density lipoprotein; risk prediction

Mesh:

Substances:

Year:  2016        PMID: 27230043      PMCID: PMC4884307          DOI: 10.1016/j.jacc.2016.03.538

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  34 in total

Review 1.  Lipoprotein particle analysis by nuclear magnetic resonance spectroscopy.

Authors:  Elias J Jeyarajah; William C Cromwell; James D Otvos
Journal:  Clin Lab Med       Date:  2006-12       Impact factor: 1.935

2.  Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ralph B D'Agostino; Ramachandran S Vasan
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

Review 3.  Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors.

Authors:  F E Harrell; K L Lee; D B Mark
Journal:  Stat Med       Date:  1996-02-28       Impact factor: 2.373

4.  A method for checking regression models in survival analysis based on the risk score.

Authors:  J K Grønnesby; O Borgan
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588

5.  Comparison of C-reactive protein and low-density lipoprotein cholesterol levels in the prediction of first cardiovascular events.

Authors:  Paul M Ridker; Nader Rifai; Lynda Rose; Julie E Buring; Nancy R Cook
Journal:  N Engl J Med       Date:  2002-11-14       Impact factor: 91.245

6.  Relation of family history of myocardial infarction and the presence of coronary arterial calcium in various age and risk factor groups.

Authors:  Binu Philips; James A de Lemos; Mahesh J Patel; Darren K McGuire; Amit Khera
Journal:  Am J Cardiol       Date:  2007-01-30       Impact factor: 2.778

7.  Development and validation of improved algorithms for the assessment of global cardiovascular risk in women: the Reynolds Risk Score.

Authors:  Paul M Ridker; Julie E Buring; Nader Rifai; Nancy R Cook
Journal:  JAMA       Date:  2007-02-14       Impact factor: 56.272

8.  Association among plasma levels of monocyte chemoattractant protein-1, traditional cardiovascular risk factors, and subclinical atherosclerosis.

Authors:  Rajat Deo; Amit Khera; Darren K McGuire; Sabina A Murphy; Januario de P Meo Neto; David A Morrow; James A de Lemos
Journal:  J Am Coll Cardiol       Date:  2004-11-02       Impact factor: 24.094

9.  The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health.

Authors:  Ronald G Victor; Robert W Haley; DuWayne L Willett; Ronald M Peshock; Patrice C Vaeth; David Leonard; Mujeeb Basit; Richard S Cooper; Vincent G Iannacchione; Wendy A Visscher; Jennifer M Staab; Helen H Hobbs
Journal:  Am J Cardiol       Date:  2004-06-15       Impact factor: 2.778

10.  Accuracy of offspring reports of parental cardiovascular disease history: the Framingham Offspring Study.

Authors:  Joanne M Murabito; Byung-Ho Nam; Ralph B D'Agostino; Donald M Lloyd-Jones; Christopher J O'Donnell; Peter W F Wilson
Journal:  Ann Intern Med       Date:  2004-03-16       Impact factor: 25.391

View more
  23 in total

1.  Refocusing the AIM on HDL in the metabolic syndrome.

Authors:  Robert W McGarrah
Journal:  Atherosclerosis       Date:  2016-07-02       Impact factor: 5.162

Review 2.  Coronary Artery Calcium Scoring in Current Clinical Practice: How to Define Its Value?

Authors:  Sina Kianoush; Mohammadhassan Mirbolouk; Raghavendra Charan Makam; Khurram Nasir; Michael J Blaha
Journal:  Curr Treat Options Cardiovasc Med       Date:  2017-09-25

3.  Cholesterol efflux capacity does not associate with coronary calcium, plaque vulnerability, and telomere length in healthy octogenarians.

Authors:  Francesca Zimetti; Wladimir M Freitas; Alessandra M Campos; Mauricio Daher; Maria Pia Adorni; Franco Bernini; Andrei C Sposito; Ilaria Zanotti
Journal:  J Lipid Res       Date:  2018-02-07       Impact factor: 5.922

4.  In-depth mining of clinical data: the construction of clinical prediction model with R.

Authors:  Zhi-Rui Zhou; Wei-Wei Wang; Yan Li; Kai-Rui Jin; Xuan-Yi Wang; Zi-Wei Wang; Yi-Shan Chen; Shao-Jia Wang; Jing Hu; Hui-Na Zhang; Po Huang; Guo-Zhen Zhao; Xing-Xing Chen; Bo Li; Tian-Song Zhang
Journal:  Ann Transl Med       Date:  2019-12

5.  Activation profiles of monocyte-macrophages and HDL function in healthy women in relation to menstrual cycle and in polycystic ovary syndrome patients.

Authors:  Serena Tedesco; Maria Pia Adorni; Nicoletta Ronda; Roberta Cappellari; Roberto Mioni; Mattia Barbot; Silvia Pinelli; Mario Plebani; Chiara Bolego; Carla Scaroni; Franco Bernini; Gian Paolo Fadini; Andrea Cignarella
Journal:  Endocrine       Date:  2019-04-16       Impact factor: 3.633

6.  Molecular Patterns of Extreme and Persistent Cholesterol Efflux Capacity.

Authors:  Ayea El-Ghazali; Sneha Deodhar; Suzanne Saldanha; Brooke Smyth; Mark Izbrand; Anamika Gangwar; Mandana Pahlavani; Anand Rohatgi
Journal:  Arterioscler Thromb Vasc Biol       Date:  2021-08-26       Impact factor: 10.514

Review 7.  Optimizing Dyslipidemia Management for the Prevention of Cardiovascular Disease: a Focus on Risk Assessment and Therapeutic Options.

Authors:  Adam N Berman; Ron Blankstein
Journal:  Curr Cardiol Rep       Date:  2019-08-05       Impact factor: 2.931

8.  Determinants of HDL Cholesterol Efflux Capacity after Virgin Olive Oil Ingestion: Interrelationships with Fluidity of HDL Monolayer.

Authors:  Sara Fernández-Castillejo; Laura Rubió; Álvaro Hernáez; Úrsula Catalán; Anna Pedret; Rosa-M Valls; Juana I Mosele; Maria-Isabel Covas; Alan T Remaley; Olga Castañer; Maria-José Motilva; Rosa Solá
Journal:  Mol Nutr Food Res       Date:  2017-10-26       Impact factor: 5.914

9.  Examining the paradox of high high-density lipoprotein and elevated cardiovascular risk.

Authors:  Kavisha Singh; Anand Rohatgi
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 3.005

10.  Virgin Olive Oil Phenolic Compounds Modulate the HDL Lipidome in Hypercholesterolaemic Subjects: A Lipidomic Analysis of the VOHF Study.

Authors:  Sara Fernández-Castillejo; Anna Pedret; Úrsula Catalán; Rosa-Maria Valls; Marta Farràs; Laura Rubió; Olga Castañer; Alba Macià; Montse Fitó; Maria José Motilva; Maria-Isabel Covas; Martin Giera; Alan T Remaley; Rosa Solà
Journal:  Mol Nutr Food Res       Date:  2021-03-18       Impact factor: 6.575

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.