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      Application of non-HDL cholesterol for population-based cardiovascular risk stratification: results from the Multinational Cardiovascular Risk Consortium

      research-article
      , MD a , * , , MD a , * , , PhD a , , Prof, MD b , , Prof, MD c , , MD d , , Prof, PhD e , , MD f , , MD g , , Prof, MD h , , MD i , , Prof, PhD j , k , , PhD k , , Prof, MD l , , Prof, MD m , n , , Prof, PhD o , , Prof, PhD p , q , , Prof, MD r , , Prof, MD s , t , u , v , , Prof, MD w , , Prof, MD x , , Prof, PhD y , , Prof, PhD z , , Prof, MD aa , , Prof, PhD ab , , MD ac , ad , , Prof, MD af , , Prof, MD ag , , Prof, MD ah , ai , , PhD aj , , Prof, MD ak , , MD al , , Prof, PhD am , , Prof, PhD an , , Prof, MD ao , , Prof, MD ap , , Prof, MD aq , ar , , Prof, PhD b , , Prof, MD ac , ad , ae , , Prof, MD a , as , * , Multinational Cardiovascular Risk Consortium
      Lancet (London, England)
      Elsevier

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          Summary

          Background

          The relevance of blood lipid concentrations to long-term incidence of cardiovascular disease and the relevance of lipid-lowering therapy for cardiovascular disease outcomes is unclear. We investigated the cardiovascular disease risk associated with the full spectrum of bloodstream non-HDL cholesterol concentrations. We also created an easy-to-use tool to estimate the long-term probabilities for a cardiovascular disease event associated with non-HDL cholesterol and modelled its risk reduction by lipid-lowering treatment.

          Methods

          In this risk-evaluation and risk-modelling study, we used Multinational Cardiovascular Risk Consortium data from 19 countries across Europe, Australia, and North America. Individuals without prevalent cardiovascular disease at baseline and with robust available data on cardiovascular disease outcomes were included. The primary composite endpoint of atherosclerotic cardiovascular disease was defined as the occurrence of the coronary heart disease event or ischaemic stroke. Sex-specific multivariable analyses were computed using non-HDL cholesterol categories according to the European guideline thresholds, adjusted for age, sex, cohort, and classical modifiable cardiovascular risk factors. In a derivation and validation design, we created a tool to estimate the probabilities of a cardiovascular disease event by the age of 75 years, dependent on age, sex, and risk factors, and the associated modelled risk reduction, assuming a 50% reduction of non-HDL cholesterol.

          Findings

          Of the 524 444 individuals in the 44 cohorts in the Consortium database, we identified 398 846 individuals belonging to 38 cohorts (184 055 [48·7%] women; median age 51·0 years [IQR 40·7–59·7]). 199 415 individuals were included in the derivation cohort (91 786 [48·4%] women) and 199 431 (92 269 [49·1%] women) in the validation cohort. During a maximum follow-up of 43·6 years (median 13·5 years, IQR 7·0–20·1), 54 542 cardiovascular endpoints occurred. Incidence curve analyses showed progressively higher 30-year cardiovascular disease event-rates for increasing non-HDL cholesterol categories (from 7·7% for non-HDL cholesterol <2·6 mmol/L to 33·7% for ≥5·7 mmol/L in women and from 12·8% to 43·6% in men; p<0·0001). Multivariable adjusted Cox models with non-HDL cholesterol lower than 2·6 mmol/L as reference showed an increase in the association between non-HDL cholesterol concentration and cardiovascular disease for both sexes (from hazard ratio 1·1, 95% CI 1·0–1·3 for non-HDL cholesterol 2·6 to <3·7 mmol/L to 1·9, 1·6–2·2 for ≥5·7 mmol/L in women and from 1·1, 1·0–1·3 to 2·3, 2·0–2·5 in men). The derived tool allowed the estimation of cardiovascular disease event probabilities specific for non-HDL cholesterol with high comparability between the derivation and validation cohorts as reflected by smooth calibration curves analyses and a root mean square error lower than 1% for the estimated probabilities of cardiovascular disease. A 50% reduction of non-HDL cholesterol concentrations was associated with reduced risk of a cardiovascular disease event by the age of 75 years, and this risk reduction was greater the earlier cholesterol concentrations were reduced.

          Interpretation

          Non-HDL cholesterol concentrations in blood are strongly associated with long-term risk of atherosclerotic cardiovascular disease. We provide a simple tool for individual long-term risk assessment and the potential benefit of early lipid-lowering intervention. These data could be useful for physician–patient communication about primary prevention strategies.

          Funding

          EU Framework Programme, UK Medical Research Council, and German Centre for Cardiovascular Research.

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          Most cited references40

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          2016 European Guidelines on cardiovascular disease prevention in clinical practice: The Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice (constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation (EACPR).

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            Evolocumab and Clinical Outcomes in Patients with Cardiovascular Disease

            Evolocumab is a monoclonal antibody that inhibits proprotein convertase subtilisin-kexin type 9 (PCSK9) and lowers low-density lipoprotein (LDL) cholesterol levels by approximately 60%. Whether it prevents cardiovascular events is uncertain.
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              Low-density lipoproteins cause atherosclerotic cardiovascular disease. 1. Evidence from genetic, epidemiologic, and clinical studies. A consensus statement from the European Atherosclerosis Society Consensus Panel

              Abstract Aims To appraise the clinical and genetic evidence that low-density lipoproteins (LDLs) cause atherosclerotic cardiovascular disease (ASCVD). Methods and results We assessed whether the association between LDL and ASCVD fulfils the criteria for causality by evaluating the totality of evidence from genetic studies, prospective epidemiologic cohort studies, Mendelian randomization studies, and randomized trials of LDL-lowering therapies. In clinical studies, plasma LDL burden is usually estimated by determination of plasma LDL cholesterol level (LDL-C). Rare genetic mutations that cause reduced LDL receptor function lead to markedly higher LDL-C and a dose-dependent increase in the risk of ASCVD, whereas rare variants leading to lower LDL-C are associated with a correspondingly lower risk of ASCVD. Separate meta-analyses of over 200 prospective cohort studies, Mendelian randomization studies, and randomized trials including more than 2 million participants with over 20 million person-years of follow-up and over 150 000 cardiovascular events demonstrate a remarkably consistent dose-dependent log-linear association between the absolute magnitude of exposure of the vasculature to LDL-C and the risk of ASCVD; and this effect appears to increase with increasing duration of exposure to LDL-C. Both the naturally randomized genetic studies and the randomized intervention trials consistently demonstrate that any mechanism of lowering plasma LDL particle concentration should reduce the risk of ASCVD events proportional to the absolute reduction in LDL-C and the cumulative duration of exposure to lower LDL-C, provided that the achieved reduction in LDL-C is concordant with the reduction in LDL particle number and that there are no competing deleterious off-target effects. Conclusion Consistent evidence from numerous and multiple different types of clinical and genetic studies unequivocally establishes that LDL causes ASCVD.
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                Author and article information

                Contributors
                Journal
                Lancet
                Lancet
                Lancet (London, England)
                Elsevier
                0140-6736
                1474-547X
                14 December 2019
                14 December 2019
                : 394
                : 10215
                : 2173-2183
                Affiliations
                [a ]University Heart & Vascular Center Hamburg, Department of Cardiology, Hamburg, Germany
                [b ]National Institute for Health and Welfare, Helsinki, Finland
                [c ]Centre for Public Health, Queens University of Belfast, Belfast, UK
                [d ]Catalan Department of Health, Barcelona, Spain
                [e ]Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
                [f ]Department of Cardiovascular, Endocrine-metabolic Diseases, and Ageing, National Institutes of Health-ISS, Rome, Italy
                [g ]Department of Medicine and Surgery, University of Milano-Bicocca, Milan, Italy
                [h ]Cardiovascular Epidemiology Unit, Institute of Cardiovascular Research, University of Dundee, Dundee, UK
                [i ]Department of Epidemiology and Public health, University Hospital of Strasbourg, Strasbourg, France
                [j ]Department of Epidemiology and Prevention, IRCCS Neuromed, Pozzilli, Italy
                [k ]Research Center in Epidemiology and Preventive Medicine, Department of Medicine and Surgery, University of Insubria, Varese, Italy
                [l ]Clinica Medica, Department of Medicine and Surgery, University of Milano Bicocca, Milan, Italy
                [m ]Department of Clinical Medicine, University of Tromsø—The Arctic University of Tromsø, Tromsø, Norway
                [n ]Department of Neurology and Neurophysiology, University Hospital of North Norway, Tromsø, Norway
                [o ]Department of Public Health and Clinical Medicine, and Heart Center, Cardiology, Umeå University, Umeå, Sweden
                [p ]Center for Clinical Research and Prevention, Bispebjerg and Frederiksberg Hospital, Copenhagen, Denmark
                [q ]Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
                [r ]Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany
                [s ]Risk Factors and Molecular Determinants of Aging Diseases, University of Lille, Lille, France
                [t ]Inserm, Lille, France
                [u ]Centre Hospitalier Universitaire de Lille, Lille, France
                [v ]Institut Pasteur de Lille, Lille, France
                [w ]Toulouse University School of Medicine, Toulouse, France
                [x ]Institute of Cardiology, Lithuanian University of Health Sciences, Kaunas, Lithuania
                [y ]Research Institute of Internal and Preventive Medicine, Branch of Federal Research Center, Institute of Cytology and Genetics, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
                [z ]Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, National Institute of Cardiology, Warsaw, Poland
                [aa ]Department of Clinical Sciences, Malmö, Lund University, Malmö, Sweden
                [ab ]Institute for Medical Informatics, Biometry and Epidemiology, University Hospital of Essen, Essen, Germany
                [ac ]Department of Cardiology, Charité Berlin—University Medicine, Campus Benjamin Franklin, Berlin, Germany
                [ad ]German Centre for Cardiovascular Research, Partner Site Berlin, Berlin, Germany
                [ae ]Berlin Institute of Health, Berlin, Germany
                [af ]Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
                [ag ]Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
                [ah ]University of New South Wales, Sydney, NSW, Australia
                [ai ]St Vincent's Hospital, Sydney, NSW, Australia
                [aj ]Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, Netherlands
                [ak ]Boston University and the National Heart, Lung, and Blood Institute's Framingham Study, Framingham, MA, USA
                [al ]Department of Endocrinology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
                [am ]Department of Primary Care and Population Health, University College London, London, UK
                [an ]Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
                [ao ]Departments of Medicine and Epidemiology, Columbia University, New York, NY, USA
                [ap ]Division of Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA
                [aq ]Department of Cardiology, Division of Medicine, Akershus University Hospital, Lørenskog, Norway
                [ar ]Center for Heart Failure Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
                [as ]German Center for Cardiovascular Research, Partner Site Hamburg/Kiel/Lübeck, Hamburg, Germany
                Author notes
                [* ]Correspondence to: Dr Stefan Blankenberg, University Heart & Vascular Center Hamburg, Department of Cardiology, Hamburg 20246, Germany s.blankenberg@ 123456uke.de
                [*]

                Equally contributing first authors

                [†]

                Members of the Consortium are listed at the end of this Article

                Article
                S0140-6736(19)32519-X
                10.1016/S0140-6736(19)32519-X
                6913519
                31810609
                5aec3b25-fb8b-4a69-a31e-3936c1a3f868
                © 2019 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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