Literature DB >> 19903920

Major lipids, apolipoproteins, and risk of vascular disease.

Emanuele Di Angelantonio, Nadeem Sarwar, Philip Perry, Stephen Kaptoge, Kausik K Ray, Alexander Thompson, Angela M Wood, Sarah Lewington, Naveed Sattar, Chris J Packard, Rory Collins, Simon G Thompson, John Danesh.   

Abstract

CONTEXT: Associations of major lipids and apolipoproteins with the risk of vascular disease have not been reliably quantified.
OBJECTIVE: To assess major lipids and apolipoproteins in vascular risk. DESIGN, SETTING, AND PARTICIPANTS: Individual records were supplied on 302,430 people without initial vascular disease from 68 long-term prospective studies, mostly in Europe and North America. During 2.79 million person-years of follow-up, there were 8857 nonfatal myocardial infarctions, 3928 coronary heart disease [CHD] deaths, 2534 ischemic strokes, 513 hemorrhagic strokes, and 2536 unclassified strokes. MAIN OUTCOME MEASURES: Hazard ratios (HRs), adjusted for several conventional factors, were calculated for 1-SD higher values: 0.52 log(e) triglyceride, 15 mg/dL high-density lipoprotein cholesterol (HDL-C), 43 mg/dL non-HDL-C, 29 mg/dL apolipoprotein AI, 29 mg/dL apolipoprotein B, and 33 mg/dL directly measured low-density lipoprotein cholesterol (LDL-C). Within-study regression analyses were adjusted for within-person variation and combined using meta-analysis.
RESULTS: The rates of CHD per 1000 person-years in the bottom and top thirds of baseline lipid distributions, respectively, were 2.6 and 6.2 with triglyceride, 6.4 and 2.4 with HDL-C, and 2.3 and 6.7 with non-HDL-C. Adjusted HRs for CHD were 0.99 (95% CI, 0.94-1.05) with triglyceride, 0.78 (95% CI, 0.74-0.82) with HDL-C, and 1.50 (95% CI, 1.39-1.61) with non-HDL-C. Hazard ratios were at least as strong in participants who did not fast as in those who did. The HR for CHD was 0.35 (95% CI, 0.30-0.42) with a combination of 80 mg/dL lower non-HDL-C and 15 mg/dL higher HDL-C. For the subset with apolipoproteins or directly measured LDL-C, HRs were 1.50 (95% CI, 1.38-1.62) with the ratio non-HDL-C/HDL-C, 1.49 (95% CI, 1.39-1.60) with the ratio apo B/apo AI, 1.42 (95% CI, 1.06-1.91) with non-HDL-C, and 1.38 (95% CI, 1.09-1.73) with directly measured LDL-C. Hazard ratios for ischemic stroke were 1.02 (95% CI, 0.94-1.11) with triglyceride, 0.93 (95% CI, 0.84-1.02) with HDL-C, and 1.12 (95% CI, 1.04-1.20) with non-HDL-C.
CONCLUSION: Lipid assessment in vascular disease can be simplified by measurement of either total and HDL cholesterol levels or apolipoproteins without the need to fast and without regard to triglyceride.

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Year:  2009        PMID: 19903920      PMCID: PMC3284229          DOI: 10.1001/jama.2009.1619

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  31 in total

Review 1.  High-density lipoprotein as a therapeutic target: a systematic review.

Authors:  Inder M Singh; Mehdi H Shishehbor; Benjamin J Ansell
Journal:  JAMA       Date:  2007-08-15       Impact factor: 56.272

2.  Association of loss-of-function mutations in the ABCA1 gene with high-density lipoprotein cholesterol levels and risk of ischemic heart disease.

Authors:  Ruth Frikke-Schmidt; Børge G Nordestgaard; Maria C A Stene; Amar A Sethi; Alan T Remaley; Peter Schnohr; Peer Grande; Anne Tybjaerg-Hansen
Journal:  JAMA       Date:  2008-06-04       Impact factor: 56.272

Review 3.  Lipoprotein management in patients with cardiometabolic risk: consensus conference report from the American Diabetes Association and the American College of Cardiology Foundation.

Authors:  John D Brunzell; Michael Davidson; Curt D Furberg; Ronald B Goldberg; Barbara V Howard; James H Stein; Joseph L Witztum
Journal:  J Am Coll Cardiol       Date:  2008-04-15       Impact factor: 24.094

4.  Effects of torcetrapib in patients at high risk for coronary events.

Authors:  Philip J Barter; Mark Caulfield; Mats Eriksson; Scott M Grundy; John J P Kastelein; Michel Komajda; Jose Lopez-Sendon; Lori Mosca; Jean-Claude Tardif; David D Waters; Charles L Shear; James H Revkin; Kevin A Buhr; Marian R Fisher; Alan R Tall; Bryan Brewer
Journal:  N Engl J Med       Date:  2007-11-05       Impact factor: 91.245

Review 5.  Association of cholesteryl ester transfer protein genotypes with CETP mass and activity, lipid levels, and coronary risk.

Authors:  Alexander Thompson; Emanuele Di Angelantonio; Nadeem Sarwar; Sebhat Erqou; Danish Saleheen; Robin P F Dullaart; Bernard Keavney; Zheng Ye; John Danesh
Journal:  JAMA       Date:  2008-06-18       Impact factor: 56.272

6.  Comparison of the safety and efficacy of a combination tablet of niacin extended release and simvastatin vs simvastatin monotherapy in patients with increased non-HDL cholesterol (from the SEACOAST I study).

Authors:  Christie M Ballantyne; Michael H Davidson; James McKenney; Laurence H Keller; Daiva R Bajorunas; Richard H Karas
Journal:  Am J Cardiol       Date:  2008-05-15       Impact factor: 2.778

Review 7.  Blood cholesterol and vascular mortality by age, sex, and blood pressure: a meta-analysis of individual data from 61 prospective studies with 55,000 vascular deaths.

Authors:  Sarah Lewington; Gary Whitlock; Robert Clarke; Paul Sherliker; Jonathan Emberson; Jim Halsey; Nawab Qizilbash; Richard Peto; Rory Collins
Journal:  Lancet       Date:  2007-12-01       Impact factor: 79.321

8.  Lipids, lipoproteins, and apolipoproteins as risk markers of myocardial infarction in 52 countries (the INTERHEART study): a case-control study.

Authors:  Matthew J McQueen; Steven Hawken; Xingyu Wang; Stephanie Ounpuu; Allan Sniderman; Jeffrey Probstfield; Krisela Steyn; John E Sanderson; Mohammad Hasani; Emilia Volkova; Khawar Kazmi; Salim Yusuf
Journal:  Lancet       Date:  2008-07-19       Impact factor: 79.321

9.  Fasting compared with nonfasting triglycerides and risk of cardiovascular events in women.

Authors:  Sandeep Bansal; Julie E Buring; Nader Rifai; Samia Mora; Frank M Sacks; Paul M Ridker
Journal:  JAMA       Date:  2007-07-18       Impact factor: 56.272

10.  The Emerging Risk Factors Collaboration: analysis of individual data on lipid, inflammatory and other markers in over 1.1 million participants in 104 prospective studies of cardiovascular diseases.

Authors:  J Danesh; S Erqou; M Walker; S G Thompson; R Tipping; C Ford; S Pressel; G Walldius; I Jungner; A R Folsom; L E Chambless; M Knuiman; P H Whincup; S G Wannamethee; R W Morris; J Willeit; S Kiechl; P Santer; A Mayr; N Wald; S Ebrahim; D A Lawlor; J W G Yarnell; J Gallacher; E Casiglia; V Tikhonoff; P J Nietert; S E Sutherland; D L Bachman; J E Keil; M Cushman; B M Psaty; R P Tracy; A Tybjaerg-Hansen; B G Nordestgaard; R Frikke-Schmidt; S Giampaoli; L Palmieri; S Panico; D Vanuzzo; L Pilotto; L Simons; J McCallum; Y Friedlander; F G R Fowkes; A J Lee; F B Smith; J Taylor; J Guralnik; C Phillips; R Wallace; D Blazer; K T Khaw; J H Jansson; C Donfrancesco; V Salomaa; K Harald; P Jousilahti; E Vartiainen; M Woodward; R B D'Agostino; P A Wolf; R S Vasan; M J Pencina; E M Bladbjerg; T Jorgensen; L Moller; J Jespersen; R Dankner; A Chetrit; F Lubin; A Rosengren; L Wilhelmsen; G Lappas; H Eriksson; C Bjorkelund; P Cremer; D Nagel; R Tilvis; T Strandberg; B Rodriguez; L M Bouter; R J Heine; J M Dekker; G Nijpels; C D A Stehouwer; E Rimm; J Pai; S Sato; H Iso; A Kitamura; H Noda; U Goldbourt; V Salomaa; J T Salonen; K Nyyssönen; T-P Tuomainen; D Deeg; J L Poppelaars; T Meade; J Cooper; B Hedblad; G Berglund; G Engstrom; A Döring; W Koenig; C Meisinger; W Mraz; L Kuller; R Selmer; A Tverdal; W Nystad; R Gillum; M Mussolino; S Hankinson; J Manson; B De Stavola; C Knottenbelt; J A Cooper; K A Bauer; R D Rosenberg; S Sato; Y Naito; I Holme; H Nakagawa; H Miura; P Ducimetiere; X Jouven; C Crespo; M Garcia-Palmieri; P Amouyel; D Arveiler; A Evans; J Ferrieres; H Schulte; G Assmann; J Shepherd; C Packard; N Sattar; B Cantin; B Lamarche; J-P Després; G R Dagenais; E Barrett-Connor; D Wingard; R Bettencourt; V Gudnason; T Aspelund; G Sigurdsson; B Thorsson; M Trevisan; J Witteman; I Kardys; M Breteler; A Hofman; H Tunstall-Pedoe; R Tavendale; G D O Lowe; Y Ben-Shlomo; B V Howard; Y Zhang; L Best; J Umans; A Onat; T W Meade; I Njolstad; E Mathiesen; M L Lochen; T Wilsgaard; J M Gaziano; M Stampfer; P Ridker; H Ulmer; G Diem; H Concin; F Rodeghiero; A Tosetto; E Brunner; M Shipley; J Buring; S M Cobbe; I Ford; M Robertson; Y He; A M Ibanez; E J M Feskens; D Kromhout; R Collins; E Di Angelantonio; S Kaptoge; S Lewington; L Orfei; L Pennells; P Perry; K Ray; N Sarwar; M Scherman; A Thompson; S Watson; F Wensley; I R White; A M Wood
Journal:  Eur J Epidemiol       Date:  2007-09-18       Impact factor: 8.082

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  745 in total

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2.  Aerobic exercise reduces triglycerides by targeting apolipoprotein C3 in patients with coronary heart disease.

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Journal:  Clin Cardiol       Date:  2018-12-21       Impact factor: 2.882

3.  Association of high-density lipoprotein cholesterol with incident cardiovascular events in women, by low-density lipoprotein cholesterol and apolipoprotein B100 levels: a cohort study.

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4.  Elevated non-high-density lipoprotein cholesterol (non-HDL-C) predicts atherosclerotic cardiovascular events in hemodialysis patients.

Authors:  Tetsuo Shoji; Ikuto Masakane; Yuzo Watanabe; Kunitoshi Iseki; Yoshiharu Tsubakihara
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5.  Association of apolipoprotein A1 and B with kidney function and chronic kidney disease in two multiethnic population samples.

Authors:  Oemer-Necmi Goek; Anna Köttgen; Ron C Hoogeveen; Christie M Ballantyne; Josef Coresh; Brad C Astor
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Review 6.  Epidemiology and prevention of stroke: a worldwide perspective.

Authors:  Elena V Kuklina; Xin Tong; Mary G George; Pooja Bansil
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7.  The inhibition of cholesteryl ester transfer protein: a long and winding road.

Authors:  Kerry-Anne Rye; Philip J Barter
Journal:  J Lipid Res       Date:  2012-04-10       Impact factor: 5.922

8.  Clinical trials of HDL cholesterol-raising therapy: what have we learned about the HDL hypothesis from AIM-HIGH?

Authors:  Robert S Rosenson
Journal:  Curr Atheroscler Rep       Date:  2012-06       Impact factor: 5.113

9.  HbA1c in type 2 diabetes diagnostic criteria: addressing the right questions to move the field forwards.

Authors:  N Sattar; D Preiss
Journal:  Diabetologia       Date:  2012-03-08       Impact factor: 10.122

Review 10.  Cardiovascular disease and primary ovarian insufficiency.

Authors:  Melissa Wellons
Journal:  Semin Reprod Med       Date:  2011-10-03       Impact factor: 1.303

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