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Hageman S, Pennells L, Ojeda F, Kaptoge S, Kuulasmaa K, de Vries T, Xu Z, Kee F, Chung R, Wood A, McEvoy JW, Veronesi G, Bolton T, Achenbach S, Aleksandrova K, Amiano P, Sebastian DS, Amouyel P, Andersson J, Bakker SJL, Da Providencia Costa RB, Beulens JWJ, Blaha M, Bobak M, Boer JMA, Bonet C, Bonnet F, Boutron-Ruault MC, Braaten T, Brenner H, Brunner F, Brunner EJ, Brunström M, Buring J, Butterworth AS, Capkova N, Cesana G, Chrysohoou C, Colorado-Yohar S, Cook NR, Cooper C, Dahm CC, Davidson K, Dennison E, Di Castelnuovo A, Donfrancesco C, Dörr M, Doryńska A, Eliasson M, Engström G, Ferrari P, Ferrario M, Ford I, Fu M, Gansevoort RT, Giampaoli S, Gillum RF, Gómez de la Cámara A, Grassi G, Hansson PO, Huculeci R, Hveem K, Iacoviello L, Ikram MK, Jørgensen T, Joseph B, Jousilahti P, Wouter Jukema J, Kaaks R, Katzke V, Kavousi M, Kiechl S, Klotsche J, König W, Kronmal RA, Kubinova R, Kucharska-Newton A, Läll K, Lehmann N, Leistner D, Linneberg A, Pablos DL, Lorenz T, Lu W, Luksiene D, Lyngbakken M, Magnussen C, Malyutina S, Ibañez AM, Masala G, Mathiesen EB, Matsushita K, Meade TW, Melander O, Meyer HE, Moons KGM, Moreno-Iribas C, Muller D, Münzel T, Nikitin Y, Nordestgaard BG, Omland T, Onland C, Overvad K, Packard C, Pająk A, Palmieri L, Panagiotakos D, Panico S, Perez-Cornago A, Peters A, Pietilä A, Pikhart ,H, Psaty BM, Quarti-Trevano F, Garcia JRQ, Riboli E, Ridker PM, Rodriguez B, Rodriguez-Barranco M, Rosengren A, Roussel R, Sacerdote C, Sans S, Sattar N, Schiborn C, Schmidt B, Schöttker B, Schulze M, Schwartz JE, Selmer RM, Shea S, Shipley MJ, Sieri S, Söderberg S, Sofat R, Tamosiunas A, Thorand B, Tillmann T, Tjønneland A, Tong TYN, Trichopoulou A, Tumino R, Tunstall-Pedoe H, Tybjaerg-Hansen A, Tzoulaki J, van der Heijden A, van der Schouw YT, Verschuren WMM, Völzke H, Waldeyer C, Wareham NJ, Weiderpass E, Weidinger F, Wild P, Willeit J, Willeit P, Wilsgaard T, Woodward M, Zeller T, Zhang D, Zhou B, Dendale P, Ference BA, Halle M, Timmis A, Vardas P, Danesh J, Graham I, Salomaa V, Visseren F, De Bacquer D, Blankenberg S, Dorresteijn J, Di Angelantonio E. SCORE2 risk prediction algorithms: new models to estimate 10-year risk of cardiovascular disease in Europe. Eur Heart J 2021; 42:2439-2454. [PMID: 34120177 PMCID: PMC8248998 DOI: 10.1093/eurheartj/ehab309] [Citation(s) in RCA: 379] [Impact Index Per Article: 126.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 03/08/2021] [Accepted: 05/05/2021] [Indexed: 12/14/2022] Open
Abstract
AIMS The aim of this study was to develop, validate, and illustrate an updated prediction model (SCORE2) to estimate 10-year fatal and non-fatal cardiovascular disease (CVD) risk in individuals without previous CVD or diabetes aged 40-69 years in Europe. METHODS AND RESULTS We derived risk prediction models using individual-participant data from 45 cohorts in 13 countries (677 684 individuals, 30 121 CVD events). We used sex-specific and competing risk-adjusted models, including age, smoking status, systolic blood pressure, and total- and HDL-cholesterol. We defined four risk regions in Europe according to country-specific CVD mortality, recalibrating models to each region using expected incidences and risk factor distributions. Region-specific incidence was estimated using CVD mortality and incidence data on 10 776 466 individuals. For external validation, we analysed data from 25 additional cohorts in 15 European countries (1 133 181 individuals, 43 492 CVD events). After applying the derived risk prediction models to external validation cohorts, C-indices ranged from 0.67 (0.65-0.68) to 0.81 (0.76-0.86). Predicted CVD risk varied several-fold across European regions. For example, the estimated 10-year CVD risk for a 50-year-old smoker, with a systolic blood pressure of 140 mmHg, total cholesterol of 5.5 mmol/L, and HDL-cholesterol of 1.3 mmol/L, ranged from 5.9% for men in low-risk countries to 14.0% for men in very high-risk countries, and from 4.2% for women in low-risk countries to 13.7% for women in very high-risk countries. CONCLUSION SCORE2-a new algorithm derived, calibrated, and validated to predict 10-year risk of first-onset CVD in European populations-enhances the identification of individuals at higher risk of developing CVD across Europe.
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Kaptoge S, Pennells L, De Bacquer D, Cooney MT, Kavousi M, Stevens G, Riley LM, Savin S, Khan T, Altay S, Amouyel P, Assmann G, Bell S, Ben-Shlomo Y, Berkman L, Beulens JW, Björkelund C, Blaha M, Blazer DG, Bolton T, Bonita Beaglehole R, Brenner H, Brunner EJ, Casiglia E, Chamnan P, Choi YH, Chowdry R, Coady S, Crespo CJ, Cushman M, Dagenais GR, D'Agostino Sr RB, Daimon M, Davidson KW, Engström G, Ford I, Gallacher J, Gansevoort RT, Gaziano TA, Giampaoli S, Grandits G, Grimsgaard S, Grobbee DE, Gudnason V, Guo Q, Tolonen H, Humphries S, Iso H, Jukema JW, Kauhanen J, Kengne AP, Khalili D, Koenig W, Kromhout D, Krumholz H, Lam TH, Laughlin G, Marín Ibañez A, Meade TW, Moons KGM, Nietert PJ, Ninomiya T, Nordestgaard BG, O'Donnell C, Palmieri L, Patel A, Perel P, Price JF, Providencia R, Ridker PM, Rodriguez B, Rosengren A, Roussel R, Sakurai M, Salomaa V, Sato S, Schöttker B, Shara N, Shaw JE, Shin HC, Simons LA, Sofianopoulou E, Sundström J, Völzke H, Wallace RB, Wareham NJ, Willeit P, Wood D, Wood A, Zhao D, Woodward M, Danaei G, Roth G, Mendis S, Onuma O, Varghese C, Ezzati M, Graham I, Jackson R, Danesh J, Di Angelantonio E. World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions. Lancet Glob Health 2019; 7:e1332-e1345. [PMID: 31488387 PMCID: PMC7025029 DOI: 10.1016/s2214-109x(19)30318-3] [Citation(s) in RCA: 449] [Impact Index Per Article: 89.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Revised: 05/16/2019] [Accepted: 07/10/2019] [Indexed: 01/31/2023]
Abstract
BACKGROUND To help adapt cardiovascular disease risk prediction approaches to low-income and middle-income countries, WHO has convened an effort to develop, evaluate, and illustrate revised risk models. Here, we report the derivation, validation, and illustration of the revised WHO cardiovascular disease risk prediction charts that have been adapted to the circumstances of 21 global regions. METHODS In this model revision initiative, we derived 10-year risk prediction models for fatal and non-fatal cardiovascular disease (ie, myocardial infarction and stroke) using individual participant data from the Emerging Risk Factors Collaboration. Models included information on age, smoking status, systolic blood pressure, history of diabetes, and total cholesterol. For derivation, we included participants aged 40-80 years without a known baseline history of cardiovascular disease, who were followed up until the first myocardial infarction, fatal coronary heart disease, or stroke event. We recalibrated models using age-specific and sex-specific incidences and risk factor values available from 21 global regions. For external validation, we analysed individual participant data from studies distinct from those used in model derivation. We illustrated models by analysing data on a further 123 743 individuals from surveys in 79 countries collected with the WHO STEPwise Approach to Surveillance. FINDINGS Our risk model derivation involved 376 177 individuals from 85 cohorts, and 19 333 incident cardiovascular events recorded during 10 years of follow-up. The derived risk prediction models discriminated well in external validation cohorts (19 cohorts, 1 096 061 individuals, 25 950 cardiovascular disease events), with Harrell's C indices ranging from 0·685 (95% CI 0·629-0·741) to 0·833 (0·783-0·882). For a given risk factor profile, we found substantial variation across global regions in the estimated 10-year predicted risk. For example, estimated cardiovascular disease risk for a 60-year-old male smoker without diabetes and with systolic blood pressure of 140 mm Hg and total cholesterol of 5 mmol/L ranged from 11% in Andean Latin America to 30% in central Asia. When applied to data from 79 countries (mostly low-income and middle-income countries), the proportion of individuals aged 40-64 years estimated to be at greater than 20% risk ranged from less than 1% in Uganda to more than 16% in Egypt. INTERPRETATION We have derived, calibrated, and validated new WHO risk prediction models to estimate cardiovascular disease risk in 21 Global Burden of Disease regions. The widespread use of these models could enhance the accuracy, practicability, and sustainability of efforts to reduce the burden of cardiovascular disease worldwide. FUNDING World Health Organization, British Heart Foundation (BHF), BHF Cambridge Centre for Research Excellence, UK Medical Research Council, and National Institute for Health Research.
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Pennells L, Kaptoge S, Wood A, Sweeting M, Zhao X, White I, Burgess S, Willeit P, Bolton T, Moons KGM, van der Schouw YT, Selmer R, Khaw KT, Gudnason V, Assmann G, Amouyel P, Salomaa V, Kivimaki M, Nordestgaard BG, Blaha MJ, Kuller LH, Brenner H, Gillum RF, Meisinger C, Ford I, Knuiman MW, Rosengren A, Lawlor DA, Völzke H, Cooper C, Marín Ibañez A, Casiglia E, Kauhanen J, Cooper JA, Rodriguez B, Sundström J, Barrett-Connor E, Dankner R, Nietert PJ, Davidson KW, Wallace RB, Blazer DG, Björkelund C, Donfrancesco C, Krumholz HM, Nissinen A, Davis BR, Coady S, Whincup PH, Jørgensen T, Ducimetiere P, Trevisan M, Engström G, Crespo CJ, Meade TW, Visser M, Kromhout D, Kiechl S, Daimon M, Price JF, Gómez de la Cámara A, Wouter Jukema J, Lamarche B, Onat A, Simons LA, Kavousi M, Ben-Shlomo Y, Gallacher J, Dekker JM, Arima H, Shara N, Tipping RW, Roussel R, Brunner EJ, Koenig W, Sakurai M, Pavlovic J, Gansevoort RT, Nagel D, Goldbourt U, Barr ELM, Palmieri L, Njølstad I, Sato S, Monique Verschuren WM, Varghese CV, Graham I, Onuma O, Greenland P, Woodward M, Ezzati M, Psaty BM, Sattar N, Jackson R, Ridker PM, Cook NR, D'Agostino RB, Thompson SG, Danesh J, Di Angelantonio E. Equalization of four cardiovascular risk algorithms after systematic recalibration: individual-participant meta-analysis of 86 prospective studies. Eur Heart J 2019; 40:621-631. [PMID: 30476079 PMCID: PMC6374687 DOI: 10.1093/eurheartj/ehy653] [Citation(s) in RCA: 89] [Impact Index Per Article: 17.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 05/03/2018] [Accepted: 10/04/2018] [Indexed: 12/19/2022] Open
Abstract
AIMS There is debate about the optimum algorithm for cardiovascular disease (CVD) risk estimation. We conducted head-to-head comparisons of four algorithms recommended by primary prevention guidelines, before and after 'recalibration', a method that adapts risk algorithms to take account of differences in the risk characteristics of the populations being studied. METHODS AND RESULTS Using individual-participant data on 360 737 participants without CVD at baseline in 86 prospective studies from 22 countries, we compared the Framingham risk score (FRS), Systematic COronary Risk Evaluation (SCORE), pooled cohort equations (PCE), and Reynolds risk score (RRS). We calculated measures of risk discrimination and calibration, and modelled clinical implications of initiating statin therapy in people judged to be at 'high' 10 year CVD risk. Original risk algorithms were recalibrated using the risk factor profile and CVD incidence of target populations. The four algorithms had similar risk discrimination. Before recalibration, FRS, SCORE, and PCE over-predicted CVD risk on average by 10%, 52%, and 41%, respectively, whereas RRS under-predicted by 10%. Original versions of algorithms classified 29-39% of individuals aged ≥40 years as high risk. By contrast, recalibration reduced this proportion to 22-24% for every algorithm. We estimated that to prevent one CVD event, it would be necessary to initiate statin therapy in 44-51 such individuals using original algorithms, in contrast to 37-39 individuals with recalibrated algorithms. CONCLUSION Before recalibration, the clinical performance of four widely used CVD risk algorithms varied substantially. By contrast, simple recalibration nearly equalized their performance and improved modelled targeting of preventive action to clinical need.
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Affiliation(s)
- Lisa Pennells
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Stephen Kaptoge
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Angela Wood
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Mike Sweeting
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Xiaohui Zhao
- Department of Physiology, Development and Neuroscience, University of Cambridge, Downing Street, Cambridge, UK
| | - Ian White
- MRC Clinical Trials Unit, University College London, 90 High Holborn, London, UK
| | - Stephen Burgess
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- MRC Biostatistics Unit, Cambridge Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, UK
| | - Peter Willeit
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Thomas Bolton
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Karel G M Moons
- Epidemiology: Methodology, Julius Center Research Program Methodology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Department of Epidemiology, Julius Center Research Program Cardiovascular Epidemiology, University Medical Center Utrecht, Heidelberglaan 100, Utrecht, the Netherlands
| | - Randi Selmer
- Division of Epidemiology, Norwegian Institute of Public Health, Postboks 222 Skøyen, Oslo, Norway
| | - Kay-Tee Khaw
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Vilmundur Gudnason
- Icelandic Heart Association, Hjartavernd Holtasmá¡ri 1, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, Vatnsmýrarvegur 16, Reykjavik, Iceland
| | - Gerd Assmann
- Assmann-Foundation for Prevention, Gronowskistraße 33, Münster, Germany
| | - Philippe Amouyel
- Institut Pasteur de Lille, 1 rue du Professeur Calmette, Lille, France
| | - Veikko Salomaa
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Mika Kivimaki
- Department of Epidemiology and Public Health, University College London, 1-19 Torrington Place, London, UK
| | - Børge G Nordestgaard
- Department of Clinical Medicine, Copenhagen University Hospital, Blegdamsvej 3, Copenhagen, Denmark
| | - Michael J Blaha
- Ciccarone Center for the Prevention of Heart Disease, Johns Hopkins Hospital, 1800 Orleans St, Baltimore, MD, USA
| | - Lewis H Kuller
- Department of Epidemiology, University of Pittsburgh, 200 Lothrop Street, Pittsburgh, PA, USA
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Neuenheimer Feld 581, Heidelberg, Germany
- University of Heidelberg, Grabengasse 1, Heidelberg, Germany
| | - Richard F Gillum
- Department of Medicine, Howard University College of Medicine, 2041 Georgia Avenue, Washington, DC, USA
| | - Christa Meisinger
- German Research Center for Environmental Health, Ingolstädter Landstraße 1, Neuherberg, Germany
| | - Ian Ford
- Institute of Health & Wellbeing, University of Glasgow, Boyd Orr Building, University Avenue, Glasgow, UK
| | - Matthew W Knuiman
- Faculty of Health and Medical Sciences, School of Population and Global Health, University of Western Australia, 35 Stirling Highway, Perth, Western Australia, Australia
| | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg, Medicinaregatan 3, Gothenburg, Sweden
- Wallenberg Laboratory, Sahlgrenska University Hospital, Blå stråket 5, Gothenburg, Sweden
| | - Debbie A Lawlor
- Department of Social Medicine, University of Bristol, Bristol, UK
| | - Henry Völzke
- Institute of Community Medicine, University of Greifswald, Ellernholzstraße 1/2, Greifswald, Germany
| | - Cyrus Cooper
- MRC Lifecourse Epidemiology Unit, University of Southampton, Tremona Rd, Southampton, UK
| | | | - Edoardo Casiglia
- Department of Medicine, University of Padova, 2 Via Giustiniani, Padova, Italy
| | - Jussi Kauhanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 1 Yliopistonranta, Kuopio, Finland
| | - Jackie A Cooper
- Centre for Cardiovascular Genetics, University College London, 5 University Street, London, UK
| | - Beatriz Rodriguez
- Department of Geriatric Medicine, University of Hawaii, 1960 East-West Road, Honolulu, HI, USA
| | - Johan Sundström
- Department of Medical Sciences, Uppsala University, Ing 40, 5 tr, Uppsala, Sweden
| | | | - Rachel Dankner
- Unit for Cardiovascular Epidemiology, The Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer, Israel
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Paul J Nietert
- Department of Public Health Sciences, Medical University of South Carolina, 135 Cannon Street, Charleston, SC, USA
| | - Karina W Davidson
- Department of Medicine, Columbia University Irving Medical Center, 622 West 168th Street, New York, NY, USA
| | - Robert B Wallace
- College of Public Health, University of Iowa, 145 N. Riverside Drive, Iowa City, IA, USA
| | - Dan G Blazer
- Department of Surgery, Duke University Medical Center, 2301 Erwin Rd, Durham, NC, USA
| | - Cecilia Björkelund
- Department of Public Health and Community Medicine, University of Gothenburg, Medicinaregatan 16, Gothenburg, Sweden
| | - Chiara Donfrancesco
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | | | - Aulikki Nissinen
- National Institute for Health and Welfare, Mannerheimintie 166, Helsinki, Finland
| | - Barry R Davis
- Department of Biostatistics, The University of Texas School of Public Health, 1200 Pressler Street, Houston, TX, USA
| | - Sean Coady
- Division of Cardiovascular Sciences, National Heart, Lung, and Blood Institute, 31 Center Drive, Bethesda, MD, USA
| | - Peter H Whincup
- Population Health Research Institute, St George's, University of London, Cranmer Terrace, London, UK
| | - Torben Jørgensen
- Research Centre for Prevention and Health, 5 Øster Farimagsgade, Copenhagen, Denmark
- Department of Public Health, University of Copenhagen, 5 Øster Farimagsgade, Copenhagen, Denmark
- Aalborg University, Fredrik Bajers Vej 5, Aalborg, Denmark
| | - Pierre Ducimetiere
- Faculté de Médecine, Université Paris Descartes, 12 Rue de l'Ecole de Médecine, Paris, France
| | - Maurizio Trevisan
- CUNY School of Medicine, City College of New York, 160 Convent Ave, New York, NY, USA
| | - Gunnar Engström
- Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35, Malmö, Sweden
| | - Carlos J Crespo
- School of Community Health, Portland State University, 506 SW Mill St, Portland, OR, USA
| | - Tom W Meade
- Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Street, London, UK
| | - Marjolein Visser
- Department of Health Sciences, Vrije Universiteit Amsterdam, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | - Daan Kromhout
- Department of Epidemiology, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Stefan Kiechl
- Department of Neurology and Neurosurgery, Medical University of Innsbruck, Anichstraße 35, Innsbruck, Austria
| | - Makoto Daimon
- Faculty of Medicine, Yamagata University, 1-4-12 Kojirakawa-machi, Yamagata, Japan
| | - Jackie F Price
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Old Medical School, Teviot Place, Edinburgh, UK
| | | | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Albinusdreef 2, Leiden, the Netherlands
| | - Benoît Lamarche
- Pavillon Ferdinand-Vandry, Université Laval, 2440 Hochelaga, Quebec, Canada
| | - Altan Onat
- Department of Cardiology, Cerrahpaşa Faculty of Medicine, Istanbul University, Beyazıt, Fatih, Istanbul, Turkey
| | | | - Maryam Kavousi
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Yoav Ben-Shlomo
- Bristol Neuroscience, Bristol University, Queens Road, Bristol, UK
| | - John Gallacher
- Department of Psychiatry, University of Oxford, Warneford Hospital, Warneford Lane, Oxford, UK
| | - Jacqueline M Dekker
- The Institute for Health and Care Research, VU University Medical Center, De Boelelaan 1085, Amsterdam, the Netherlands
| | | | - Nawar Shara
- Department of Biostatistics and Bioinformatics, MedStar Health Research Institute, 6525 Belcrest Road, Hyattsville, MD, USA
| | - Robert W Tipping
- Clinical Biostatistics, Merck, 2000 Galloping Hill Road, Kenilworth, NJ, USA
| | - Ronan Roussel
- Centre de Recherche des Cordeliers, INSERM, 15 rue de l'Ecole de Médecine, Paris, France
| | - Eric J Brunner
- Institute of Epidemiology & Health, University College London, 1-19 Torrington Place, London, UK
| | - Wolfgang Koenig
- Deutsches Herzzentrum München, Technische Universität München, 21 Arcisstraße, Munich, Germany
- DZHK (German Centre for Cardiovascular Research), Partner Site Munich Heart Alliance, Biedersteiner Str. 29, Munich, Germany
| | - Masaru Sakurai
- Department of Social and Environmental Medicine, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Ishikawa, Japan
| | - Jelena Pavlovic
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Doctor Molewaterplein 40, Rotterdam, the Netherlands
| | - Ron T Gansevoort
- Department of Internal Medicine, University Medical Centre Groningen, University of Grogingen, Hanzeplein 1, Groningen, the Netherlands
| | - Dorothea Nagel
- Klinikum der Universität München, Ludwig-Maximilians-Universität, 15 Marchioninistraße, Munich, Germany
| | - Uri Goldbourt
- Department of Epidemiology and Preventive Medicine, Sackler Faculty of Medicine, School of Public Health, Tel Aviv University, Ramat Aviv, Tel Aviv, Israel
| | - Elizabeth L M Barr
- Clinical Diabetes and Epidemiology, Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Australia
| | - Luigi Palmieri
- Department of Cardiovascular, Dysmetabolic and Aging-Associated Diseases, Istituto Superiore di Sanità (ISS), 299 Viale Regina Elena, Rome, Italy
| | - Inger Njølstad
- Department of Public Health, University of Tromsø, Hansine Hansens veg 18, Tromsø, Norway
| | - Shinichi Sato
- Chiba Prefectural Institute of Public Health, 666-2 Nito-no-machi Chuo-ku, Chiba, Japan
| | - W M Monique Verschuren
- Department for Determinants of Chronic Diseases, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, Bilthoven, The Netherlands
| | - Cherian V Varghese
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Ian Graham
- School of Medicine, Trinity College Dublin, The University of Dublin, College Green, Dublin 2, Ireland
| | - Oyere Onuma
- Noncommunicable Diseases, Disability, Violence and Injury Prevention Department, World Health Organization, 20 Avenue Appia, Geneva 27, Switzerland
| | - Philip Greenland
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, 420 East Superior Street, Chicago, IL, USA
| | - Mark Woodward
- The George Institute for Global Health, University of Oxford, 75 George Street, Oxford, UK
- The George Institute for Global Health, University of New South Wales, 1 King Street Newtown, Sydney, Australia
| | - Majid Ezzati
- Faculty of Medicine, School of Public Health, Norfolk Place, St Mary's Campus, Imperial College London, London, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, University of Washington, 1730 Minor Avenue, Seattle, WA, USA
| | - Naveed Sattar
- Institute of Cardiovascular & Medical Sciences, University of Glasgow, 126 University Place, Glasgow, UK
| | - Rod Jackson
- Faculty of Medical and Health Sciences, University of Auckland, 261 Morrin Road, Auckland, New Zealand
| | - Paul M Ridker
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Nancy R Cook
- Brigham and Women's Hospital, Harvard Medical School, 900 Commonwealth Avenue, Boston, MA, USA
| | - Ralph B D'Agostino
- Mathematics and Statistics Department, Boston University, 111 Cummington Mall, Boston, MA, USA
| | - Simon G Thompson
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - John Danesh
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Emanuele Di Angelantonio
- Department of Public Health and Primary Care, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
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5
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Di Angelantonio E, Gao P, Khan H, Butterworth AS, Wormser D, Kaptoge S, Kondapally Seshasai SR, Thompson A, Sarwar N, Willeit P, Ridker PM, Barr ELM, Khaw KT, Psaty BM, Brenner H, Balkau B, Dekker JM, Lawlor DA, Daimon M, Willeit J, Njølstad I, Nissinen A, Brunner EJ, Kuller LH, Price JF, Sundström J, Knuiman MW, Feskens EJM, Verschuren WMM, Wald N, Bakker SJL, Whincup PH, Ford I, Goldbourt U, Gómez-de-la-Cámara A, Gallacher J, Simons LA, Rosengren A, Sutherland SE, Björkelund C, Blazer DG, Wassertheil-Smoller S, Onat A, Marín Ibañez A, Casiglia E, Jukema JW, Simpson LM, Giampaoli S, Nordestgaard BG, Selmer R, Wennberg P, Kauhanen J, Salonen JT, Dankner R, Barrett-Connor E, Kavousi M, Gudnason V, Evans D, Wallace RB, Cushman M, D'Agostino RB, Umans JG, Kiyohara Y, Nakagawa H, Sato S, Gillum RF, Folsom AR, van der Schouw YT, Moons KG, Griffin SJ, Sattar N, Wareham NJ, Selvin E, Thompson SG, Danesh J. Glycated hemoglobin measurement and prediction of cardiovascular disease. JAMA 2014; 311:1225-33. [PMID: 24668104 PMCID: PMC4386007 DOI: 10.1001/jama.2014.1873] [Citation(s) in RCA: 147] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
IMPORTANCE The value of measuring levels of glycated hemoglobin (HbA1c) for the prediction of first cardiovascular events is uncertain. OBJECTIVE To determine whether adding information on HbA1c values to conventional cardiovascular risk factors is associated with improvement in prediction of cardiovascular disease (CVD) risk. DESIGN, SETTING, AND PARTICIPANTS Analysis of individual-participant data available from 73 prospective studies involving 294,998 participants without a known history of diabetes mellitus or CVD at the baseline assessment. MAIN OUTCOMES AND MEASURES Measures of risk discrimination for CVD outcomes (eg, C-index) and reclassification (eg, net reclassification improvement) of participants across predicted 10-year risk categories of low (<5%), intermediate (5% to <7.5%), and high (≥ 7.5%) risk. RESULTS During a median follow-up of 9.9 (interquartile range, 7.6-13.2) years, 20,840 incident fatal and nonfatal CVD outcomes (13,237 coronary heart disease and 7603 stroke outcomes) were recorded. In analyses adjusted for several conventional cardiovascular risk factors, there was an approximately J-shaped association between HbA1c values and CVD risk. The association between HbA1c values and CVD risk changed only slightly after adjustment for total cholesterol and triglyceride concentrations or estimated glomerular filtration rate, but this association attenuated somewhat after adjustment for concentrations of high-density lipoprotein cholesterol and C-reactive protein. The C-index for a CVD risk prediction model containing conventional cardiovascular risk factors alone was 0.7434 (95% CI, 0.7350 to 0.7517). The addition of information on HbA1c was associated with a C-index change of 0.0018 (0.0003 to 0.0033) and a net reclassification improvement of 0.42 (-0.63 to 1.48) for the categories of predicted 10-year CVD risk. The improvement provided by HbA1c assessment in prediction of CVD risk was equal to or better than estimated improvements for measurement of fasting, random, or postload plasma glucose levels. CONCLUSIONS AND RELEVANCE In a study of individuals without known CVD or diabetes, additional assessment of HbA1c values in the context of CVD risk assessment provided little incremental benefit for prediction of CVD risk.
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Affiliation(s)
| | - Pei Gao
- University of Cambridge, Cambridge, United Kingdom
| | - Hassan Khan
- University of Cambridge, Cambridge, United Kingdom
| | | | | | | | | | | | | | | | | | | | - Kay-Tee Khaw
- University of Cambridge, Cambridge, United Kingdom
| | - Bruce M Psaty
- University of Washington, Seattle6Group Health Research Institute, Seattle, Washington
| | | | - Beverley Balkau
- Inserm, Villejuif, France9University Paris-Sud, Villejuif, France
| | | | | | | | | | | | | | | | | | | | | | | | | | - W M M Verschuren
- National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands
| | - Nicholas Wald
- Wolfson Institute of Preventive Medicine, London, United Kingdom
| | - Stephan J L Bakker
- University of Groningen, University Medical Center Groningen, the Netherlands
| | | | - Ian Ford
- University of Glasgow, Glasgow, United Kingdom
| | | | | | | | - Leon A Simons
- University of New South Wales, Kensington, Australia
| | - Annika Rosengren
- Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
| | | | | | - Dan G Blazer
- Duke University Medical Center, Durham, North Carolina
| | | | - Altan Onat
- University of Istanbul, Istanbul, Turkey
| | | | | | | | | | | | - Børge G Nordestgaard
- Herlev Hospital, Copenhagen University Hospital, University of Copenhagen, Copenhagen, Denmark
| | - Randi Selmer
- Norwegian Institute of Public Health, Oslo, Norway
| | | | | | | | - Rachel Dankner
- The Gertner Institute for Epidemiology and Health Policy Research, Tel Hashomer, Israel47Tel Aviv University, Tel Aviv, Israel48The Feinstein Institute for Medical Research, New York, New York
| | | | | | - Vilmundur Gudnason
- Icelandic Heart Association, Reyjavik, Iceland52University of Iceland, Reykjavik, Iceland
| | - Denis Evans
- Rush University Medical Center, Chicago, Illinois
| | | | | | | | - Jason G Umans
- Georgetown University Medical Centre, Washington, DC
| | | | | | - Shinichi Sato
- Osaka Medical Center for Health Science and Promotion/Chiba Prefectural Institute of Public Health, Osaka, Japan
| | | | | | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Karel G Moons
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | | | | | | | | | | | - John Danesh
- University of Cambridge, Cambridge, United Kingdom
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