|Title||Glycated hemoglobin measurement and prediction of cardiovascular disease.|
|Publication Type||Journal Article|
|Year of Publication||2014|
|Authors||Di Angelantonio E, Gao P, Khan H, Butterworth AS, Wormser D, Kaptoge S, Seshasai SRao Kondap, Thompson A, Sarwar N, Willeit P, Ridker PM, Barr ELM, Khaw K-T, 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, Ibañez AMarín, Casiglia E, J Jukema W, 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|
|Corporate Authors||Emerging Risk Factors Collaboration|
|Date Published||2014 Mar 26|
|Keywords||Aged, C-Reactive Protein, Cholesterol, HDL, Coronary Disease, Diabetes Mellitus, Female, Glycated Hemoglobin A, Humans, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, Risk Assessment, Stroke|
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 (
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.
|PubMed Central ID||PMC4386007|
|Grant List||MC_UU_12015/4 / / Medical Research Council / United Kingdom |
RG/13/2/30098 / / British Heart Foundation / United Kingdom
PG/13/66/30442 / / British Heart Foundation / United Kingdom
RG/08/014/24067 / / British Heart Foundation / United Kingdom
G1000143 / / Medical Research Council / United Kingdom
RG/08/013/25942 / / British Heart Foundation / United Kingdom
MR/L003120/1 / / Medical Research Council / United Kingdom
UL1 TR000062 / TR / NCATS NIH HHS / United States
G0401527 / / Medical Research Council / United Kingdom
MC_U106179474 / / Medical Research Council / United Kingdom
MR/K013351/1 / / Medical Research Council / United Kingdom
RG/13/16/30528 / / British Heart Foundation / United Kingdom
MC_UU_12013/5 / / Medical Research Council / United Kingdom