Glycated Hemoglobin Measurement and Prediction of Cardiovascular Disease

Emanuele Di Angelantonio(University of Cambridge), Pei Gao(University of Cambridge), Hassan Khan(University of Cambridge), Adam S. Butterworth(University of Cambridge), David Wormser(University of Cambridge), Stephen Kaptoge(University of Cambridge), Sreenivasa Rao Kondapally Seshasai(St George's, University of London), Alex Thompson(University of Cambridge), Nadeem Sarwar(University of Cambridge), Peter Willeit(University of Cambridge), Paul M. Ridker(Brigham and Women's Hospital), Elizabeth Barr(Baker Heart and Diabetes Institute), Kay-Tee Khaw(University of Cambridge), Bruce M. Psaty(Kaiser Permanente Washington Health Research Institute), Hermann Brenner(German Cancer Research Center), Beverley Balkau(Inserm), Joost Dekker(Vrije Universiteit Amsterdam), Debbie A. Lawlor(University of Bristol), Makoto Daimon(Yamagata University Hospital), Johann Willeit(Innsbruck Medical University), Inger Njølstad(UiT The Arctic University of Norway), Aulikki Nissinen(Finnish Institute for Health and Welfare), Eric J. Brunner(University College London), Lewis H. Kuller(University of Pittsburgh), Jackie F. Price(University of Edinburgh), Johan Sundström(Uppsala University), Matthew Knuiman(The University of Western Australia), Edith J. M. Feskens(Wageningen University & Research), W. M. Monique Verschuren(National Institute for Public Health and the Environment), Nicholas Wald(Wolfson Foundation), Stephan J. L. Bakker(University Medical Center Groningen), Peter H. Whincup(St George's, University of London), Ian Ford(University of Glasgow), Uri Goldbourt(Sheba Medical Center), Agustı́n Gómez de la Cámara(Research Institute Hospital 12 de Octubre), John Gallacher(Cardiff University), Leon A. Simons(UNSW Sydney), Annika Rosengren(University of Gothenburg), Susan E. Sutherland(Medical University of South Carolina), Cecilia Björkelund(University of Gothenburg), Dan G. Blazer(Duke Medical Center), Sylvia Wassertheil‐Smoller(Albert Einstein College of Medicine), Altan Onat(Istanbul University), Alejandro Marín Ibañez, Edoardo Casiglia(University of Padua), J. Wouter Jukema(Leiden University Medical Center), Lara M. Simpson(The University of Texas Health Science Center at Houston), Simona Giampaoli(Istituto Superiore di Sanità), Børge G. Nordestgaard(University of Copenhagen), Randi Selmer(Norwegian Institute of Public Health), Patrik Wennberg(Umeå University), Jussi Kauhanen(University of Eastern Finland), Jukka T. Salonen(University of Helsinki), Rachel Dankner(Feinstein Institute for Medical Research), Elizabeth Barrett‐Connor(University of California San Diego), Maryam Kavousi(Erasmus MC), Vilmundur Guðnason(University of Iceland), Denis A. Evans(Rush University Medical Center), Robert B. Wallace(University of Iowa), Mary Cushman(University of Vermont), Ralph B. D’Agostino, Jason G. Umans(Georgetown University), Yutaka Kiyohara(Kyushu University), Hidaeki Nakagawa(Kanazawa Medical University), Shinichi Sato(Chiba Prefectural Institute of Public Health), Richard F. Gillum(Howard University), Aaron R. Folsom(University of Minnesota System), Yvonne T. van der Schouw(University Medical Center Utrecht), Karel G.M. Moons(University Medical Center Utrecht), Simon J. Griffin(University of Cambridge), Naveed Sattar(University of Glasgow), Nicholas J. Wareham(University of Cambridge), Elizabeth Selvin(Johns Hopkins University), Simon G. Thompson(University of Cambridge), John Danesh(University of Cambridge)
JAMA
March 25, 2014
Cited by 233Open Access
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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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